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Overview
Project website | github.com/worldbank/sdg-metadata | |
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Instructions for translators | This project is limited to Russian translation only, for now. More detailed instructions to come. |
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Project maintainers | brockfanning | |
Translation license | MIT License | |
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Source code repository |
https://github.com/worldbank/sdg-metadata
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Repository branch | master | |
Last remote commit |
Merge pull request #542 from weblate/weblate-sdg-metadata-1-1-1a
85d59a4a6e9
brockfanning authored 7 months ago |
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Last commit in Weblate |
Translated using Weblate (Portuguese)
5afc8b49daa
brockfanning authored a month ago |
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Weblate repository |
https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
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File mask | translations-metadata/*/6-6-1a.yml |
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Monolingual base language file | translations-metadata/en/6-6-1a.yml |
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translations-metadata/ar/6-6-1a.yml
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Last change | Aug. 17, 2022, 5:10 p.m. | |
Last change made by | None | |
Language | Arabic | |
Language code | ar | |
Text direction | Right to left | |
Number of speakers | 378,482,167 | |
Number of plurals | 6 | |
Plural type | Arabic languages | |
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Plural formula | n==0 ? 0 : n==1 ? 1 : n==2 ? 2 : n%100>=3 && n%100<=10 ? 3 : n%100>=11 ? 4 : 5 |
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<p><strong>URL: </strong><a href="http://www.sdg6monitoring.org/indicators/target-66/indicators661/"><strong>http://www.sdg6monitoring.org/indicators/target-66/indicators661/</strong></a></p>
<p>All documentation on methodologies, downloads, production partners are available at the <a href="http://www.sdg661.app">Freshwater Ecosystem Explorer</a> (www.sdg661.app).</p> <p>In developing the methodology for indicator 6.6.1 UNEP set up a technical expert group. This group provided inputs into the development of the monitoring methodology. A first draft (Tier III) methodology was piloted in 2017 and sent to all UN Member States accompanied with relevant capacity support materials. A limited number of Member States (19 per cent) submitted data to UNEP after a period of 8 months. The data that was received was of poor quality and coverage. Countries cited a lack of data to report, and neither time nor resources to initiate new ecosystem monitoring.</p> <p>Following on from the global piloting and testing phase, and to address a known global data gap for the indicator, the methodology was revised to incorporate data on water-related ecosystem derived from satellite-based Earth observations. UNEP engaged with a series of partners working with global data products considered relevant and suitable for the indicator. The assessment of global data sources considered data quality, resolution, frequency of measurements, global coverage, time series, and scalability (i.e. disaggregated data at national and sub-national levels). The result was a methodology that is statistically robust producing internationally comparable data without being too onerous for countries to report on. The technical expert group was consulted on the updated methodology before submission to the IAEG-SDG for approval. </p> <p>At the 7th IAEG-SDG meeting in April 2018, the indicator methodology was approved and classified as Tier II. Shortly afterwards, in November 2018, it was reclassified to a Tier I indicator methodology. The Tier I classification means that the indicator is conceptually clear, has an internationally established methodology and standards are available, and data are regularly produced by at least 50 per cent of countries and of the population in every region where the indicator is relevant.</p> <p>Throughout 2019, UNEP continued to work with its partners to improve the globally available datasets relevant to SDG indicator 6.6.1 and the measurement of changes occurring to different types of water-related ecosystem. As such, this methodology was updated in March 2020 to include more detailed information about the approach used to obtain satellite-based Earth observation data with regard to the sub-indicators.</p> <p><strong>References</strong></p> <p>Bunting P., Rosenqvist A., Lucas R M., Rebelo L. M., Hilarides L., Thomas N., Hardy A., Itoh T., Shimada M. and Finlayson C. M. (2018). The Global Mangrove gmwatch – a new 2010 Global gbaseline of Mangrove mextent. Remote Sens.<em>ing</em>, 10,() 1669 .https://doi.org/10.3390/rs10101669.</p> <p>Dickens et al, 2019 : Chris Dickins, Matthew McCartney: Water-related Ecosystems, International</p> <p>Water Management Institute, Sri Lanka. https://doi.org/10.3390/su11020462</p> <p>Farr et al, 2004 : Farr et al, 2004 - Farr, T.G., Rosen, P.A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M.,Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin,</p> <p>M., Burbank, D., and Alsdorf, D.E., 2007, The shuttle radar topography mission: Reviews of</p> <p>Geophysics, v. 45, no. 2, RG2004, at https://doi.org/10.1029/2005RG000183.</p> <p>Giri, C., Ochieng, E., Tieszen L. L., Zhu, Z., Singh, A., Loveland, T.R., Masek, J. & Duke, N. (2011). Status and distribution of mangrove forests ofthe world using earth observation satellite data. Global Ecology and Biogeography, 20(1), 154-159. Available at: <a href="https://doi.org/10.1111/j.1466-8238.2010.00584.x">https://doi.org/10.1111/j.1466-8238.2010.00584.x</a></p> <p>Lehner et al, 2011: Lehner et al, 2011 - Lehner, B., C. Reidy Liermann, C. Revenga, C. Vörösmarty, B. Fekete, P. :Crouzet, P. Döll, M. Endejan, K. Frenken, J. Magome, C. Nilsson, J.C. Robertson, R. Rodel, N.</p> <p>Sindorf, and D. Wisser. 2011. High-resolution mapping of the world’s reservoirs and dams for</p> <p>sustainable river-flow management. Frontiers in Ecology and the Environment 9 (9): 494-502.</p> <p>MEA, 2005: –Millennium Ecosystem Assessment (2005) Ecosystems and Human Well Being:</p> <p>Wetlands and water synthesis. Island Press, Washington DC. https://www.millenniumassessment.org/documents/document.358.aspx.pdf</p> <p>Pekel, JF. ., Cottam, A., Gorelick N., &Belward A,.S (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540) : <a href="https://doi.org/10.1038/nature20584">https://doi.org/10.1038/nature20584</a>. </p> <p>Sayer et al. 2019 : Sayer et al, 2019 – Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins,</p> <p>Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van</p> <p>Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John</p> <p>Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank MullerKarger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30</p> <p>meter resolution global shoreline vector and associated global islands database for the development of</p> <p>standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI:</p> <p>10.1080/1755876X.2018.1529714</p> <p>Spalding M., Kainuma, M. & Collins, L. (2010). World Atlas of Mangroves (v1.1). London, U.K.: Earthscan (Taylor & Francis). ISBN: 978-1-84407-657-4. Available at: https://data.unep-wcmc.org/datasets/5. </p> |
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<p><strong>Sources of discrepancies:</strong></p>
<p>Not applicable</p> |
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<p><strong>Data availability:</strong></p>
<p>All SDG 6.6.1 indicator data is freely available and downloadable at the Freshwater Ecosystem Explorer <a href="http://www.sdg661.app">www.sdg661.app</a></p> <p><strong>Time series:</strong></p> <p>The reporting on this indicator will follow an annual cycle. </p> <p><strong>Disaggregation:</strong></p> <p>Indicator 6.6.1 can be disaggregated by ecosystem type (which enables decision at ecosystem level to be taken). The SDG 661 data can also be disaggregated at different spatial scales i.e. National, basin, sub-administrative level, lakes, and reservoirs.</p> |
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<p>Refer to 4.i and 4.j.</p>
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<p>A full SDG indicator monitoring methodology is available in all UN languages <a href="https://www.unwater.org/publications/step-step-methodology-monitoring-ecosystems-6-6-1/">here</a>.</p>
<p>All documentation on methodologies, downloads, production partners are available at the <a href="http://www.sdg661.app">Freshwater Ecosystem Explorer</a> (www.sdg661.app)<a href="http://www.sdg661.app">www.sdg661.app</a></p> |
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<p>No adjustments are made.</p>
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<p><strong>Computation Method:</strong></p>
<p><strong>Permanent and Seasonal Surface Water</strong></p> <p><strong>Description of the method used to globally map all surface water</strong></p> <p>Data on the spatial and temporal dynamics of naturally occurring surface water has been generated for the entire globe. A Global Surface Water dataset (Pekel et al., 2016) has been produced by the European Commission's Joint Research Centre. The dataset documents different facets of the long term (since 1984 onward) water dynamics at 30x30 meter pixel resolution. The dataset documents permanent and seasonal surface water surfaces. All naturally occurring surface water larger in area than 30x30 meters has been mapped and at this 30-meter grid/pixel spatial resolution satellite imagery is predominantly capturing areas of lakes and wide rivers. The data include land areas that are temporarily inundated such as wetlands and paddy fields. Smaller rivers and waterbodies are not captured as they are too narrow to detect or are masked by forest canopy. The data include individual full-resolution images acquired by the Landsat 5, 7 and 8 and Sentinel 1 satellites. These satellites capture images which are distributed publicly by the United States Geological Survey and by the European Union’s Copernicus space programme. Together they provide multispectral imagery at 30x30 meter resolution in six visible, near and shortwave infrared channels, plus thermal imagery at 60x60 meters. </p> <p>The data includes land surfaces that are under water (e.g. a permanent water area) for all twelve months of a year. It also accounts for seasonal and climactic fluctuations of water, meaning lakes and rivers which freeze for part of the year are captured. Areas of permanent ice, such as glaciers and ice caps as well as permanently snow-covered land areas are not included. Areas of consistent cloud cover inhibit the observation of water surfaces in some areas and in these limited locations optical observations may not be available. A global shoreline mask has been applied to the data to prevent ocean water being included in the freshwater statistics and the methodology for this shoreline mask is published in the journal of operational oceanography (Sayer et al. 2019).</p> <p>The accuracy of the Global Surface Water map was determined using over 40,000 control points from around the world and across the 36 years. The full validation methodology and results have been published in the scientific journal Nature (Pekel et al., 2016). The validation results show that the water detection expert system produced less than 1% of false water detections, and that less than 5% of water surfaces were missed. The provided maps are derived from the analysis of over four million images collected over 36 years which have been individually processed using an accurate expert system classifier.</p> <p>The SDG 6.6.1 data portal documents various water transitions relating to permanent and seasonal surface water - these are changes in water state between two points in time (e.g. 2000 - 2019). Data is available for various transitions including new permanent water surfaces (i.e. conversion of a no water place into a permanent water place.); lost permanent water surfaces (i.e. conversion of a permanent water place into a no water place) as well as new and lost seasonal water. These allow monthly water presence or absence data to be captured. It is possible to identify specific months/years in which conditions changed, e.g. the date of filing of a new dam, or the month/year in which a lake disappeared. In addition, data on seasonality are provided, capturing changes resulting from intra and inter-annual variability or resulting from appearance or disappearance of seasonal or permanent water surfaces. The data separates 'permanent' water bodies (those that are present throughout the period of observation) [nominally a year] from 'seasonal' (those that are present for only part of the year).</p> <p><strong>Calculating the change in surface area of permanent and seasonal surface water </strong></p> <p>Data on surface water dynamics are available for a 38-year period, from 1984-onward. Every year new annual data is produced and added to this time series. To calculate percentage change in lake and river area using a 2000-2021 dataset, a baseline period is first defined against which to measure change. This methodology uses 2000-2004 as the 5-year baseline period and to be compared against any subsequent 5-year target period. For each 5-year period the water state (permanent, seasonal or no water) is decided by a majority rule, and the water transitions between the baseline and the target period is subsequently used to compute the percentage change (∆) in the spatial area of permanent and seasonal waters by equation 1:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>E</mi> <mi>q</mi> <mi>u</mi> <mi>a</mi> <mi>t</mi> <mi>i</mi> <mi>o</mi> <mi>n</mi> <mi>&nbsp;</mi> <mn>1</mn> <mo>:</mo> <mi>&nbsp;</mi> <mi>&nbsp;</mi> <mo>∆</mo> <mi>&nbsp;</mi> <mo>=</mo> <mi>&nbsp;</mi> <mfrac> <mrow> <mfenced separators="|"> <mrow> <mi>α</mi> <mo>-</mo> <mi>β</mi> </mrow> </mfenced> <mo>+</mo> <mo>(</mo> <mi>ρ</mi> <mo>-</mo> <mi>σ</mi> <mo>)</mo> </mrow> <mrow> <mi>ε</mi> <mo>+</mo> <mi>β</mi> <mo>+</mo> <mi>σ</mi> </mrow> </mfrac> <mo>×</mo> <mn>100</mn> </math></p> <p>And subject to the following for computing permanent surface water dynamics:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∆</mo> </math><em> – </em>percentage change in spatial extent</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>α</mi> </math> – New permanent water (i.e. conversion of a no water place into a permanent water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>β</mi> </math> – Lost permanent water (i.e. conversion of a permanent water place into a no water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ρ</mi> </math> – Seasonal to permanent (i.e. conversion of seasonal water into permanent water)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>σ</mi> </math> – Permanent to seasonal (i.e. conversion of permanent water into seasonal water)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ε</mi> </math> – Permanent water surfaces (i.e. area where water is always observed)</p> <p>While the following applies for computing seasonal water dynamics:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∆</mo> </math> – percentage change in spatial extent</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>α</mi> </math> – New seasonal water (i.e. conversion of a no water place into a seasonal water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>β</mi> </math> – Lost seasonal water (i.e. conversion of a seasonal water place into a no water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ρ</mi> </math> – Permanent to seasonal (i.e. conversion of permanent water into seasonal water)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>σ</mi> </math> – Seasonal to permanent (i.e. conversion of seasonal water into permanent water)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ε</mi> </math> – Seasonal water surfaces (i.e. area where seasonal water is always observed)</p> <p>The nature of this formula yields percentage change values as either positive or negative, which helps to indicate how spatial area is changing. On the SDG661 data portal, statistics are displayed using both positive and negative symbols. For interpretation of the statistics, if the value is shown as positive, the statistics represent an area gain while if the value is shown as negative, it represents a loss in surface area. </p> <p>The use of ‘positive’ and ‘negative’ terminology does not imply a positive or negative state of the water-related ecosystem being monitored. Gain or loss in surface water area can be beneficial or detrimental. The resulting impact of a gain or loss in surface area must be locally contextualized. The percentage change statistic produced represents how the total area of lakes, rivers within a given boundary (e.g. nationally) is changing over time. Percentage change statistics aggregated at a national scale should be interpreted with some degree of caution because these statistics reflect the areas of all the lakes and rivers within a country boundary. For this reason, sub-national statistics are also made available including at basin and sub-basin scales. The statistics produced at these smaller scales reflects area changes to a smaller number of lakes and rivers within a basin or sub-section of a basin, allowing for localized, water body specific, decision making to occur. </p> <p><strong>Reservoirs</strong></p> <p><strong>Description of the method used to globally map changes to reservoir surface area</strong></p> <p>A global reservoir dynamics dataset has been produced by the European Commission's Joint Research Centre. The dataset documents the long term (since 1984 onward) spatial area dynamics of 8,869 reservoirs at 30x30 meter pixel resolution. The reservoirs dataset represents surface area data on artificial waterbodies including reservoirs formed by dams, flooded areas such as opencast mines and quarries, and water bodies created by hydro-engineering projects such as waterway and harbour construction. The map below shows the reservoirs at their maximum extent. The dataset will be progressively complemented and continuously updated to account for newly build reservoirs. Each reservoir is documented as separate object with a unique ID assigned. The reservoirs dataset is derived from the Global Surface Water Explorer (GSWE) dataset, onto which is applied an expert system classifier designed to separate natural and artificial water bodies. The expert systems classifier is non-parametric to account for uncertainty in data, incorporate image interpretation expertise into the classification process, and uses multiple data sources. The expert system has been developed to delineate natural and artificial water using an evidential reasoning approach; the geographic location and the temporal behaviour of each pixel; and fed with the following datasets:</p> <p><strong>Global Surface Water Explorer (Pekel et al., 2016):</strong> This dataset that maps the location and long term (since 1984 onward) temporal distribution of water surfaces at global scale. The maps show different facets of surface water dynamics and document where and when open water was present on the Earth's surface. The maps include natural (rivers, lakes, coastal margins and wetlands) and artificial water bodies (reservoirs formed by dams, flooded areas such as opencast mines and quarries, flood irrigation areas such as paddy fields, and water bodies created by hydro-engineering projects such as waterway and harbour construction). The complete history of any water surface can be accessed at the pixel scale as temporal profile. These profiles allow for identifying specific months or years during which conditions changed, e.g. the date on which a new dam was created, or the month or year in which a lake disappeared. The GSWE dataset is continuously updated providing consistent global monitoring of open water bodies.</p> <p><strong>Global Reservoir and Dam Database (Lehner et al, 2011):</strong> The Global Reservoir and Dam Database v1.3 is the output of an international effort to collate existing dam and reservoir datasets with the aim of providing a single, geographically explicit and reliable database for the scientific community. The initial version (v1.1) of GRanD contains 6,862 records of reservoirs. The latest version (v1.3) augments v1.1 with an additional 458 reservoirs and associated dams to bring the total number of records to 7320.</p> <p> </p> <p><strong>Global Digital Surface Model:</strong> ALOS World 3D - 30m is a global digital surface model (DSM) dataset with a horizontal resolution of approximately 30 meters (1 arcsec mesh). The dataset is based on the DSM dataset (5-meter mesh version) of the World 3D Topographic Data. More details are available in the dataset documentation here.</p> <p><strong>Digital Elevation Data (Farr et al, 2004):</strong> The Shuttle Radar Topography Mission (SRTM, see Farr et al. 2007) is a digital elevation dataset at 30 meters resolution provided by NASA JPL at a resolution of 1 arc-second. </p> <p><strong>Known limitations and scope for improvements</strong></p> <p>The current version of the Global Reservoir Dynamics dataset has the following known limitations: </p> <p>- Some reservoirs built prior 1984 may be missing;</p> <p>- Reservoirs smaller than 3 hectares (30 000 square meters) may be missing;</p> <p>- Branches of reservoirs whose width is smaller than 30 meters may be missing.</p> <p><strong>Calculating the extent to which reservoir area is changing over time</strong></p> <p>Data on reservoir areas are available for a 38-year period, from 1984-onward. Every year new annual data is produced and added to this time series. To calculate percentage change in reservoir area using a 2000-2021 dataset, a baseline period is first defined against which to measure change. This methodology uses 2000-2004 as the 5-year baseline period and to be compared against any subsequent 5-year target period. For each 5-year period the water state (permanent, seasonal or no water) is decided by a majority rule, and the water transitions between the baseline and the target period is subsequently used to compute the percentage change (∆) in the spatial area of reservoirs.</p> <p>The computation is based on water detection within water bodies designated as reservoirs.</p> <p>The equation 1 is subject to the following parametrization for computing changes in minimum reservoir extent.</p> <p>While equation 2 is applied for computing changes in maximum reservoir area:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>E</mi> <mi>q</mi> <mi>u</mi> <mi>a</mi> <mi>t</mi> <mi>i</mi> <mi>o</mi> <mi>n</mi> <mi mathvariant="normal">&nbsp;</mi> <mn>2</mn> <mo>:</mo> <mi mathvariant="normal">&nbsp;</mi> </math> <math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∆</mo> <mi mathvariant="normal">&nbsp;</mi> <mo>=</mo> <mi mathvariant="normal">&nbsp;</mi> <mfrac> <mrow> <mfenced separators="|"> <mrow> <mi>α</mi> <mo>-</mo> <mi>β</mi> </mrow> </mfenced> <mo>+</mo> <mo>(</mo> <mi>ρ</mi> <mo>-</mo> <mi>σ</mi> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <mi>ε</mi> <mo>+</mo> <mi>β</mi> <mo>+</mo> <mi>ϑ</mi> <mo>)</mo> <mo>+</mo> <mo>(</mo> <mi>ϵ</mi> <mo>+</mo> <mi>σ</mi> <mo>+</mo> <mo>∂</mo> <mo>)</mo> </mrow> </mfrac> <mo>×</mo> <mn>100</mn> </math></p> <p>Where:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∆</mo> </math> – percentage change in spatial extent</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>α</mi> </math> – New permanent water (i.e. conversion of a no water place into a permanent water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>β</mi> </math> – Lost permanent water (i.e. conversion of a permanent water place into a no water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ρ</mi> </math> – New seasonal water (i.e. conversion of a no water place into a seasonal water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>σ</mi> </math> – Lost seasonal water (i.e. conversion of a seasonal water place into a no water place)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ϑ</mi> </math> – Permanent to seasonal (i.e. conversion of permanent water into seasonal water)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∂</mo> </math> – Seasonal to permanent (i.e. conversion of seasonal water into permanent water)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ε</mi> </math> – Permanent water surfaces (i.e. area where water is always observed)</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>ϵ</mi> </math> – Seasonal water surfaces (i.e. area where seasonal water is always observed)</p> <p>Minimum water extent of reservoirs is the lowest observed (or minimum) surface area of reservoirs in a year (intra-annual measurement). This minimum extent varies from one year to another. The data shows the extent to which the annual minimum surface area of reservoirs has changed compared to a reference period. This change is calculated by comparing the minimum extent of the most recent five years against a five year reference period (2000-2004). Change is either gain or loss both shown in both percentage and km2 units.</p> <p>Maximum water extent of reservoirs is an intra-annual measurement corresponding to the highest observed (or maximum) extent a reservoir reaches within a year. The data shows the extent to which the annual maximum surface area of reservoirs has changed compared to a reference period. This change is calculated by comparing the maximum area of the most recent five years against a five year reference period (2000-2004). Change is either gain or loss both shown in both percentage and km2 units.</p> <p><strong>Wetlands</strong></p> <p><strong>Description of the method used to globally map wetlands</strong></p> <p>Inland vegetated wetlands are mapped according to the following definition: “Inland vegetated wetlands include areas of marshes, peatlands, swamps, bogs and fens, the vegetated parts of flood plains as well as rice paddies and flood recession agriculture”. This sub-indicator only measures inland vegetated wetlands and not coastal mangroves (see section 3.5 of this methodology on mangroves). This SDG indicator methodology is used for official reporting of SDG indicator 6.6.1 statistics. A high-resolution global geo-spatial mapping of inland vegetated wetlands has been produced detailing the spatial area of wetlands per country. The data on wetlands has been produced to support countries with monitoring their wetland ecosystems and bridge an existing global data gap. The data production method uses a consistent wetland monitoring mechanism based on satellite Earth Observation data and the global map includes the entire land surface of Earth except for Antarctica and a few small islands. As wetlands tend to be susceptible to high annual variations, multi-annual data was collected to even out potential annual biases and create a robust estimate of wetland area. Data was gathered from 2016, 2017 and 2018 and combined to produce a wetlands area baseline measurement (in km2). </p> <p>Future annual updates will enable wetlands change statistics to be produced and these once available these will be displayed on the SDG 6.6.1 data portal. Predicting wetland area using Earth Observation data relies on four components: stratification, training data, machine learning, and post-processing. The approach uses all available data from the satellites Sentinel-1, Sentinel-2, and Landsat 8 to predict wetland probability. A Digital Elevation Model is used to qualify wetland predictions and a post-processing routine converts the wetland probability map into a map of wetland area. In addition, topographic information from satellite-derived Digital Elevation Models (DEMs) are used. Close to 4 million satellite images amounting to 2.8 petabyte of data were analysed and classified as wetland or non-wetland using an automated machine learning model. Users of the global wetland map should be aware that the map represents a first line rapid assessment of the global distribution of vegetated wetlands. The methodology applied identifies vegetated inland wetlands. This may generate underestimations compared to national statistics which may integrate metrics on surface water and coastal/marine wetlands.</p> <p><img 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"></p> <p> </p> <p><em>Figure 1. Workflow for mapping global wetland area</em></p> <p>Data accuracy for the available wetlands data is approximately 70% and wetland data with 100% accuracy is not feasible at this current time. While it is based on a scientifically sound and robust mapping approach, there will inevitably be inaccuracies in the wetland predictions both in terms of commission and omission errors. Notable commission errors are for instance high-intensive irrigated agriculture parcels being classified as wetlands because they resemble many of the inherent spectral characteristics of wetlands (i.e. high moisture and vegetation presence even in dry season). Omission errors will mainly be attributed to the large diversity of wetlands. Despite best effort to train the model across the widest range of wetlands possible, there will be types of wetlands and instances of wetland behaviour that will not be adequately captured in a global model. For instance, some ephemeral wetlands are rarely flooded or wet and therefore often missed by satellite datasets. In other cases, the wet part of a wetland may occur under a dense vegetation canopy, which is difficult to assess using Earth Observation data, where the presence of water/moist conditions is not easily detected. Other limitations of the data are: </p> <ul> <li>Only regional stratification is applied including strata spanning several countries. Using a finer level of stratification will help improve local/national wetland predictions;</li> <li>The accuracy of the wetlands map will improve further once cross referenced with more national wetland inventories and ground truthing;</li> <li>Terrain information from satellite derived DEMs is key input for mapping wetlands globally. The current reference datasets are the 30-meter SRTM DEM which covers the globe from 60oNorth⁰ to 56oSouth⁰, while the region north of 60⁰ north relied on a lower resolution 90-meter DEM model was used. Options for 30-meter DEMs north of 60oN⁰ exists and should be considered in future updates;</li> <li>Small islands and potentially even entire small island states fall outside the acquisition plan of the Sentinel satellites. As a result, no wetland prediction has been performed for these areas. It will be possible to develop separate models for these missing islands using alternative input satellite data (e.g. using Landsat alone).</li> </ul> <p>Future updates and iterations of the wetlands map will address the above limitations, including a potential shift into a deep learning model to more explicitly reflect temporal and spatial aspects of wetland predictions. Despite limitations with the methodology the production of high-resolution wetland mapping for the entire globe is at the forefront of currently available technology and computing power. It represents a huge step forward towards reporting accurate, statistically robust wetland data.</p> <p><strong>Calculating the change in surface area of wetlands per country</strong></p> <p>No change in surface area has yet been calculated. However, a baseline surface area has been calculated per country. This methodology uses a 2017 baseline (based on input imagery data from 2016 to 2018 to even out potential annual biases). Going forward, updates to this wetland area datasets will be produced annually. Once the update is produced it will be possible to calculate change of wetland area from the baseline reference period. Using this baseline period, percentage change of spatial extent is calculated using equation 3:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>E</mi> <mi>q</mi> <mi>u</mi> <mi>a</mi> <mi>t</mi> <mi>i</mi> <mi>o</mi> <mi>n</mi> <mi>&nbsp;</mi> <mn>3</mn> <mo>:</mo> <mi>&nbsp;</mi> <mi>&nbsp;</mi> <mi>&nbsp;</mi> <mi>&nbsp;</mi> <mo>∆</mo> <mi>&nbsp;</mi> <mo>=</mo> <mi>&nbsp;</mi> <mfrac> <mrow> <mi>γ</mi> <mo>-</mo> <mi>β</mi> <mi>&nbsp;</mi> </mrow> <mrow> <mi>β</mi> </mrow> </mfrac> <mo>×</mo> <mn>100</mn> </math></p> <p>Where:</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∆</mo> </math><em> –</em> percentage change in spatial extent;</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>β</mi> </math> – the spatial wetland area for the baseline reference period;</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>γ</mi> </math> – the spatial area for the reporting period. </p> <p><strong>Mangroves</strong></p> <p><strong>Description of the method used to measure mangrove area</strong></p> <p>Global mangrove area maps were derived in two phases, initially producing a global map showing mangrove area (for 2010) and thereafter producing six additional annual data layers (for 1996, 2007, 2008, 2009, 2015 and 2016) (Bunting et al., 2018). The method uses a combination of radar (ALOS PALSAR) and optical (Landsat-5, -7) satellite data. Approximately 15,000 Landsat scenes and 1,500 ALOS PALSAR (1 x 1 degree) mosaic tiles were used to create optical and radar image composites covering the coastlines along the tropical and sub-tropical coastlines in the Americas, Africa, Asia and Oceania. The classification was confined using a mangrove habitat mask, which defined regions where mangrove ecosystems can be expected to exist. The mangrove habitat definition was generated based on geographical parameters such as latitude, elevation and distance from ocean water. Training for the habitat mask and classification of the 2010 mangrove mask was based on randomly sampling some 38 million points using historical mangrove maps for the year 2000 (Giri et al., 2010; Spalding et al., 2010), water occurrence maps (Pekel et al, 2017), and Digital Elevation Model data (SRTM-30).</p> <p>The maps for the other six epochs were derived by detection and classification of mangrove losses (defined as a decrease in radar backscatter intensity) and mangrove gains (defined and a backscatter increase) between the 2010 ALOS PALSAR data on one hand, and JERS-1 SAR (1996), ALOS PALSAR (2007, 2008 & 2009) and ALOS-2 PALSAR-2 (2015 & 2016) data on the other. The change pixels for each annual dataset were then added or removed from the 2010 baseline raster mask (buffered to allow detection of mangrove gains also immediately outside of the mask) to produce the yearly extent maps.</p> <p>Classification accuracy of the 2010 baseline dataset was assessed with approximately 53,800 randomly sampled points across 20 randomly selected regions. The overall accuracy was estimated to 95.25 %, while User’s (commission error) and Producer’s (omission error) accuracies for the mangrove class were estimated at 97.5% and 94.0%, respectively. Classification accuracies of the changes were assessed with over 45,000 points, with an overall accuracy of 75.0 %. The User’s accuracies for the loss, gain and no-change classes respectively were estimated at 66.5%, 73.1% and 83.5%. The corresponding Producer’s accuracies for the three classes were estimated as 87.5%, 73.0% and 69.0%, respectively.</p> <p><strong>Calculating the area of mangrove per country</strong></p> <p>Data on mangroves area are available for 1996, 2007, 2008, 2009, 2010, 2015 and 2016. New annual data for 2017 and 2018 will be released in 2021, and annual data from 2019 and onwards planned for 2022. For the purpose of producing national statistics to monitor indicator 6.6.1, the year 2000 has been used as a proxy based on the 1996 annual dataset to align with this baseline with that of the surface water dataset. National mangrove extent for the year 2000 will be used as the baseline reference period. Annual mangrove extent is compared to this baseline year. Percentage change of spatial extent is calculated using equation 3. </p> <p>Using equation 3 to calculate the percentage change in mangrove spatial extent, the following explanation is used: </p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mo>∆</mo> </math><em> – </em>percentage change in spatial extent;</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>β</mi> </math> – the national spatial extent from year 2000;</p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi>γ</mi> </math> – the national spatial extent of any other subsequent annual period. </p> <p><strong>Limitations of the mangrove data:</strong></p> <ul> <li>The mangroves map is a global dataset, and as such, it should not be expected to achieve the same high level of accuracy everywhere as a local scale map derived through ground surveys or the use of very high spatial resolution geospatial data. A global area mapping exercise using consistent data and methods – although supplemented with ground-based data for calibration and validation – for logistical reasons generally requires a trade-off in terms of local scale accuracy. Nonetheless, global maps can be improved locally (or nationally) by adding improved information (in-situ data and aerial or drone data) for training and re-classification.</li> <li>Several different factors can affect the classification accuracy, including satellite data availability, mangrove species composition and level of degradation. </li> <li>While the original pixel spacing of the satellite data used for the mapping is 25-30 metres, a minimum mapping unit of approximately 1 hectare is recommended due to the classification uncertainty of a single pixel. The classification errors (in particular omission errors) typically increase in regions of disturbance and fragmentation such as aquaculture ponds, as well as along riverine or coastal reef mangroves that form narrow shoreline fringes of a few pixels. </li> <li>In general, the mangrove seaward border is more accurately defined than the landward side where distinction between mangrove and certain wetland or terrestrial vegetation species can be unclear.</li> <li>Striping artefacts due to Landsat-7 scanline error are present in some areas, particularly West African regions due to lack of Landsat-5 data and persistent cloud cover.</li> <li>Known data gaps in this version (v2.0) of the dataset: Aldabra island group (Seychelles); Andaman and Nicobar Islands (India); Bermuda (U.K.); Chagos Islands; Europa Island (France); Fiji (part east of Antemeridian); Guam and Saipan (U.S.); Kiribati; Maldives; Marshall Islands; Peru (south of latitude S4°), and Wallis and Futuna Islands (France).</li> <li>As with wetland mapping the production of high-resolution mangrove data for the entire globe is at the forefront of currently available technology and computing power. It represents a huge step forward towards reporting accurate, statistically robust mangrove data which can be updated continuously.</li> </ul> <p><strong>Turbidity and Trophic state</strong></p> <p><strong>Description of the method used to globally map reservoir area</strong></p> <p>The global dataset measures two lake water parameters: Turbidity (TUR) and an estimate of Trophic State Index (TSI). The products were produced by the Copernicus, the Earth Observation program of the European Union. For the two parameters the dataset documents monthly averages as well as multi-annual per-monthly averages for the periods 2006-2010 and 2017-2020. The products are mapped at a 300x300 meter pixel resolution capturing data for a total of 4265 lakes. Each lake has individual identification information allowing it to be related to other hydrological datasets. A list of all lake IDs and additional information (location, name – where known, area) is available. Turbidity is derived from suspended solids concentration estimates and the Trophic State Index is derived from phytoplankton biomass by proxy of chlorophyll-a.</p> <p>Table <em>2: Trophic state index and related chlorophyll-a concentration classes</em></p> <p><em>(according to Carlson (1977)</em></p> <table> <tbody> <tr> <td> <p><strong>Trophic classification</strong></p> </td> <td> <p><strong>Trophic State Index, Copernicus Global Land Service TSI values</strong></p> </td> <td> <p><strong>Chlorophyll-a (µg/l) (upper limit)</strong></p> </td> </tr> <tr> <td rowspan="4"> <p>Oligotrophic</p> </td> <td> <p>0</p> </td> <td> <p>0.04</p> </td> </tr> <tr> <td> <p>10</p> </td> <td> <p>0.12</p> </td> </tr> <tr> <td> <p>20</p> </td> <td> <p>0.34</p> </td> </tr> <tr> <td> <p>30</p> </td> <td> <p>0.94</p> </td> </tr> <tr> <td rowspan="2"> <p>Mesotrophic</p> </td> <td> <p>40</p> </td> <td> <p>2.6</p> </td> </tr> <tr> <td> <p>50</p> </td> <td> <p>6.4</p> </td> </tr> <tr> <td rowspan="2"> <p>Eutrophic</p> </td> <td> <p>60</p> </td> <td> <p>20</p> </td> </tr> <tr> <td> <p>70</p> </td> <td> <p>56</p> </td> </tr> <tr> <td rowspan="3"> <p>Hypereutrophic</p> </td> <td> <p>80</p> </td> <td> <p>154</p> </td> </tr> <tr> <td> <p>90</p> </td> <td> <p>427</p> </td> </tr> <tr> <td> <p>100</p> </td> <td> <p>1183</p> </td> </tr> </tbody> </table> <p>Products in the period 2006 - 2010 are based on observations from the MERIS sensor, whereas the product 2017-2020 is derived from OLCI sensors. Land/water buffer maps as well as ice maps were applied to improve the accuracy of the data. The products were tested against consistency (time series) and against in situ data, both for a selected set of lakes. A detailed technical methodology is available to download at the SDG661 data portal (SDG661.app).</p> <p><strong>Calculating Turbidity and Trophic State Index statistics</strong></p> <p>A baseline reference period has been produced comprising monthly averages across 5 years of observations for the period 2006-2010. From these five years of data, 12 monthly averages (one for each month of the year) for both trophic state and turbidity, were derived. A further set of observations are then used to calculate change against the baseline data. These monthly data comprise years 2017, 2018, 2019 and 2020. The 12 monthly averages for these three years have been derived.</p> <p>Monthly deviation of the multiannual baseline is computed using equation 4: </p> <p><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mrow> <mi>M</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> <mi>h</mi> <mi>l</mi> <mi>y</mi> <mi>&nbsp;</mi> <mi>a</mi> <mi>v</mi> <mi>e</mi> <mi>r</mi> <mi>a</mi> <mi>g</mi> <mi>e</mi> <mo>-</mo> <mi>M</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> <mi>h</mi> <mi>l</mi> <mi>y</mi> <mi>&nbsp;</mi> <mi>b</mi> <mi>a</mi> <mi>s</mi> <mi>e</mi> <mi>l</mi> <mi>i</mi> <mi>n</mi> <mi>e</mi> </mrow> <mrow> <mi>M</mi> <mi>o</mi> <mi>n</mi> <mi>t</mi> <mi>h</mi> <mi>l</mi> <mi>y</mi> <mi>&nbsp;</mi> <mi>b</mi> <mi>a</mi> <mi>s</mi> <mi>e</mi> <mi>l</mi> <mi>i</mi> <mi>n</mi> <mi>e</mi> </mrow> </mfrac> <mo>×</mo> <mn>100</mn> </math></p> <p>For each pixel, and for each month, the number of valid observations has been counted and the number of months where there were monthly deviations, falling in one of the following range of values: 0-25% (low), 25-50% (medium), 50-75% (high), 75-100% (extreme). An annual deviation synthesis is also produced. </p> <p>The data represent the number of lakes impacted by a degradation of their environmental conditions (i.e. showing a deviation in turbidity and trophic state from the baseline) compared to the total number of lakes within a country. The values per pixel / per lake are calculated so as to account for different sized lakes. When viewing the summary dashboard of national statistics within on the 661SDG .. data platform, data on turbidity and/or trophic state is displayed as number of lakes ‘affected’ compared with the total number of lakes in the country. A lake is categorized as being ‘affected’ when the value for either turbidity or trophic state exceeds 50% when compared to the lakes baseline value. Once a turbidity or trophic state event passes this threshold, the event is then recorded within the national summary statistics to show the lake has been affected. Once an event is recorded it remains captured on the dashboard – meaning the number of affected lakes will either stay constant or accumulate over time. The number will not decrease. The data is not informing whether a lake is considered to be of good or bad quality, only that a lake water event has occurred and has been recorded. Each event is considered indicative of a degradation in water quality; however, it is important to note that the turbidity and trophic state are included in indicator 6.6.1 as indirect (or proxy) indicators for water quality. These two parameters are not a direct measurement of water quality; however, they perform a very successful proxy role. The proxy parameters are therefore used to alert countries to these events, encouraging countries to investigate why an event occurred and determine if any remedial action is required. You can trace when high and extreme events have event occurred within the advanced analysis of the data.</p> <p><strong>River Flow</strong></p> <p><strong>Measuring or modelling river flow (discharge)</strong></p> <p>River and estuary discharge, or the volume of water moving downstream per unit of time, is an essential metric for understanding water quantity within an ecosystem and availability for human use. Countries should provide total annual discharge per major river in order to observe change in river discharge over time.</p> <p>This section describes key considerations for monitoring discharge and provides criteria for discharge data generated to support Indicator 6.6.1. </p> <p><strong>Common in-situ monitoring methods:</strong> There are a variety of methods for monitoring discharge in situ and selection should be based on the size and type of the waterbody, terrain and velocity of water flow, the desired accuracy of measurement, as well as finances available. Two the most common and accessible approaches are gauging stations and using current meters. In many countries, gauging stations are the most prevalent means for measuring river discharge as they allow even for continuous and often real-time monitoring. These are fixed locations along a river or estuary where the change in water surface level (stage) is monitored at locations where a unique relationship exists between stage and flow and a so-called rating curve can be produced. Water surface height (stage) is captured frequently, and the discharge estimated, most often at monthly intervals but in many places, this is available at daily intervals or even continuously. Current meters and other instruments can be used to monitor flow and calculate discharge. For example, propeller, pygmy or electromagnetic current meters are often used to measure velocity and can be used in conjunction with cross-sectional area methods to obtain flow rates. Acoustic Doppler Current Profiler’s (ADCPs) are widely used for larger rivers/estuaries to accurately measure bed depth, velocity, and discharge. They are often attached to boats and dragged along a waterbody, but permanent installations can also be found, sending out acoustic waves and measuring acoustic reflectance. Meters and instruments like ADCPs are significantly more costly than other methods of measurement and require skilled operators and good maintenance programmes. However, in larger rivers they may be the most appropriate option, especially during high flow conditions.</p> <p><strong>Location of Monitoring:</strong> The chosen monitoring method may dictate where along a river or estuary the discharge is captured. For example, if fixed weirs are in place, monitoring will always take place here. Since in situ discharge monitoring can be time and cost-intensive, choosing strategic locations which represent a whole river or estuary is recommended. The minimum monitoring effort is to locate one flow measuring site within proximity to each basin’s exit (into another basin). In addition, monitoring at the exit point from all major tributaries adds a substantial level of information. Where there is a local impact on discharge due to human influence, then it is recommended to monitor flow upstream and downstream of these areas so that the overall situation can be managed. </p> <p><strong>Frequency of Monitoring:</strong> The quantity of water in a river or estuary can change rapidly in response to rainfall and weather patterns. The more data on discharge there is, the higher the accuracy is of that discharge data. However, again it is important to focus efforts and choose a strategic frequency for monitoring. Data on discharge should ideally be collected at a given location once a month at minimum (ideally at a daily frequency) and this data can then be used to determine annual and long-term trends. The quantity of water in estuaries may be significantly influenced by tidal inflows, thus this indicator is limited to the freshwater inflows to the estuary from the upstream river.</p> <p><strong>Modelling Discharge</strong>: In addition to in situ monitoring which always is impacted by all forms of flow moderation, storage or abstractions upstream, discharge may also be modelled from one of the many available models which use climatic and land-use data, amongst other data, to estimate both natural and present-day flows. Globally hydrological model applications are available and in some countries these or similar models have been developed for the local context and are calibrated using real measured data. It is recommended that modelled discharge data is complimented by measured in situ data wherever possible to ensure accuracy. Conceptual hydrological models for flow and discharge estimation are normally less amenable to detecting the flow impacts of minor land-cover changes over time as the models are calibrated on historical flow data and associated land-use conditions. </p> <p><strong>Groundwater</strong></p> <p><strong>Measuring quantity of groundwater within aquifers</strong></p> <p>The changes to the quantity of groundwater within aquifers is important information for many countries that rely heavily on groundwater availability. For the purposes of Indicator 6.6.1 monitoring the changes to groundwater levels gives a good indication of changes to the water stored in an aquifer. Furthermore, only significant ground water aquifers, that can be seen as individual freshwater ecosystems will be included in the reporting.</p> <p><strong>Location of Monitoring:</strong> Measuring the level of groundwater within an aquifer is done through the use of boreholes. One of the challenges in setting up monitoring is choosing the location of boreholes which will adequately represent the total groundwater situation for an aquifer. The number of boreholes that need to be monitored cannot be prescribed because the distribution of groundwater can be variable depending on the location and characteristics of aquifers. It is recommended that sufficient boreholes to characterise the area should be monitored, with the capacity of the country being a factor in deciding how many would best represent the area. It is highly recommended that data should be taken from observation boreholes / monitoring boreholes (these are boreholes which are not equipped with pumps). Data from used (pumped) boreholes should be avoided. In case a pumped borehole needs to be used for measurements, then it is crucial to allow for a sufficiently long recovery period in which the borehole is not used so that the groundwater level in the borehole can stabilise prior to any measurement.</p> <p><strong>Frequency of Monitoring:</strong> Groundwater levels change as a result of changes in groundwater recharge (affected by climate conditions, and land use) and by anthropogenic removals from the system (groundwater abstraction). Seasonal and wet/dry cycle influences need to be understood and hence monthly monitoring is optimal, but collection at least twice per year, in the wet and dry seasons, is necessary. </p> <p><strong>Criteria for Indicator 6.6.1 Data</strong></p> <p>Groundwater quantity data provided to the custodian agency(s) will be quality checked to ensure data integrity. Collection of groundwater level data generates statistics that are a proxy to the quantity of groundwater in an aquifer over time. In order to examine this change over time, percentage change in groundwater level will be generated and validated between the custodian agency(s) and the country. Calculating percentage change at a national level requires the establishment of a common reference period for all aquifers, which can either be based on historical groundwater level data (preferred) or modelled data if available. In cases where these are unavailable, a more recent period can be adopted to represent the ‘baseline’ or reference period. Countries should provide the annual level of groundwater in order to observe change in aquifer volume over time. A data collection table is provided in the monitoring methodology as an annex.</p> |
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<p>To support countries in fulfilling monitoring and reporting requirements for SDG indicator 6.6.1, UNEP has worked with partner organisations to develop technically robust and internationally comparable global data series, thereby significantly contributing towards filling the global data gap on measuring changes in the extent of water-related ecosystems. The indicator methodology mobilizes the collection of available earth observation data on spatial area and water quality parameters. At the 7th IAEG-SDG meeting in April 2018 the indicator methodology was approved and classified as Tier II. Shortly afterwards, in November 2018, it was reclassified to a Tier I indicator methodology. The Tier I classification means that the indicator is conceptually clear, has an internationally established methodology and standards are available, and data are regularly produced by at least 50 per cent of countries and of the population in every region where the indicator is relevant. The full SDG indicator 6.6.1 monitoring methodology details specific limitations associated with the production of data for the different ecosystem types relevant to SDG indicator 6.6.1, including links to publications pertaining to the data production methodologies. </p>
<p>SDG indicator 6.6.1 is designed enable countries to understand the extent to which protecting and restoring different types of water-related ecosystem (e.g. lakes, rivers, reservoirs, wetlands, mangroves). It does not measure how many water-related ecosystems have been protected and restored. It is assumed that countries use the available data to actively make decisions, but these actions are not currently being measured. The data generated should be considered alongside other data, in particular land use change and demographic data, to better enable countries to understand the drivers of ecosystem change and put in place appropriate policy and legislative mechanisms that result in the protection and restoration water-related ecosystems.</p> <p>UNEP periodically invites national contact persons to participate in consultations with the aim to validate estimated national values.</p> |
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<p>UNEP was awarded the mandate of custodian agency for SDG indicator 6.6.1 by the Inter-agency and Expert Group on SDG Indicators. In its capacity as custodian, UNEP are responsible for the development of the internationally comparable monitoring methodology and metadata, with national data, and regional and global aggregations reported to the SDG global data base and these statistics included in the Secretary Generals SDG progress reports.</p>
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32 | Unfinished strings, converted files enriched with comments; suitable for offline translation | Android String Resource | CSV | JSON | JSON nested structure file | gettext PO | iOS strings | TBX | TMX | XLIFF 1.1 with gettext extensions | XLIFF 1.1 | XLSX |
translations-metadata/en/6-6-1a.yml
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