2. SDG Metadata
3. 6-6-1a
4. French

<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 &#x2013; 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. &amp; 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. V&#xF6;r&#xF6;smarty, B. Fekete, P. :Crouzet, P. D&#xF6;ll, 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&#x2019;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: &#x2013;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., &amp;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 &#x2013; 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 &amp; 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. &amp; Collins, L. (2010). World Atlas of Mangroves (v1.1). London, U.K.: Earthscan (Taylor &amp; Francis). ISBN: 978-1-84407-657-4. Available at: https://data.unep-wcmc.org/datasets/5. </p>

<h1>Références</h1>
<h2>URL : </h2>
<p><a href="http://www.sdg6monitoring.org/indicators/target-66/indicators661/">http://www.sdg6monitoring.org/indicators/target-66/indicators661/</a></p>
<h1>Information supplémentaire</h1>
<p>La méthodologie a été testée en deux phases pilotes. La première consistait à concevoir la méthodologie en consultation avec les pays, ce qui a donné lieu à une première ébauche de la méthodologie qui a été revue et renforcée par l'équipe cible. Au début de 2016, le projet de méthodologie a été testé dans cinq pays entre avril et novembre 2016 dans le cadre d'ateliers : Jordanie, Pays-Bas, Pérou, Sénégal et Ouganda. Dans chacun de ces pays, divers participants des entités nationales et des secteurs gouvernementaux ont été engagés pour obtenir un large retour d'information sur la faisabilité technique du projet de méthodologie. </p>
<p>Lors des essais pilotes de 2016 du projet de méthodologie, l'INS de chacun des 5 pays a été consulté et a participé au processus. Lors de la campagne de collecte de données de la méthodologie pilote de 2017, la demande initiale de données a été communiquée à toutes les OSN. De plus, en octobre 2017, les données nationales sur l'étendue spatiale des eaux libres (dérivées des observations de la terre) ont été partagées avec 188 pays, directement via leurs OSN (voir plus de détails ci-dessus). </p>

<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 Wgmwatch &#x2013; a Nnew 2010 Global Bgbaseline of Mangrove Emextent. Remote Sens. 2018<em>ing</em>, 10,() 1669, .https://doi.org/10.3390/rs10101669.</p>
<p>Dickens et al, 2019</p>
<p>Farr et al, 2004 : 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. &amp; Duke, N. (2011). Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20 (1), 154- 159. Available at: https://databasin.org/datasets/ d214245ab4554bc1a1e7e7d9b45b9329</p>
<p>Lehner et al, 2011</p>
<p>MEA, 2005<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. V&#xF6;r&#xF6;smarty, B. Fekete, P. :Crouzet, P. D&#xF6;ll, 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&#x2019;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: &#x2013;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., &amp;Belward A,.S (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540, 418&#x2013;422 (2016). ) : <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 &#x2013; 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 &amp; 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. &amp; Collins, L. (2010). World Atlas of Mangroves (v1.1). London, U.K.: Earthscan (Taylor &amp; Francis). ISBN: 978-1-84407-657-4. Available at: https://data.unep-wcmc.org/datasets/5. </p>

<p><strong>Sources of discrepancies:</strong></p>
<p>Not applicable</p>

<p><strong>Sources des divergences :</strong></p>
<p>Non disponible</p>

<p><strong>Sources of discrepancies:</strong></p>
<p>NAot applicable</p>

<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>

<h1>Disponibilité des données </h1>
<h2>Description : </h2>
<p>Les données des sous-indicateurs 1 et 2 sont disponibles chaque année. Pour les sous-indicateurs 3, 4 et 5, des données sont déjà disponibles dans certains pays et les autorités nationales devraient renforcer leurs efforts de surveillance et de notification pour accroître la disponibilité des données pour ces trois sous-indicateurs</p>.
<p>La collecte de données pour tous les sous-indicateurs a été incluse dans une campagne de collecte de données de 2017 auprès des pays ; cependant, les données sont encore en cours de validation. En outre, des données sur l'étendue spatiale nationale pour 188 pays ont été collectées de 2001 à 2015 pour soutenir le sous-indicateur 1. Les données pour les 5 sous-indicateurs sont communiquées à la DSNU tous les 5 ans. </p>
<h2>Séries chronologiques : </h2>
<p>Les rapports sur cet indicateur suivront un cycle annuel. </p>
<h2>Désagrégation:</h2>
<p>L'indicateur 6.6.1 peut être désagrégé par sous-indicateur. Tous les sous-indicateurs peuvent également être désagrégés à différentes échelles spatiales, c'est-à-dire Type de pays, de bassin et d'écosystème. </p>

<p><strong>Data availability:</strong></p>
<p>All SDG 66.6.1 indicator data is freely available and downloadable at the Freshwater Ecosystem Explorer (www.sdg661.app)<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>

<p>Refer to 4.i and 4.j.</p>

<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>

<p>No adjustments are made.</p>