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  • 10+ Downloads
    Updated June 25, 2020 | Dataset date: Jan 1, 1988-Dec 31, 2019
    This dataset updates: As needed
    Outputs from seasonal river morphological monitoring system showing erosion and deposition areas along the Ayeyarwady River, Myanmar after the end of every monsoon season developed under the USAID funded SERVIR-Mekong programme. This dataset uses on Landsat 5-7 satellite data series covering 31-year time scale from 1988 to 2019. You can find tiff files from 1988 to 2019 here : http://geonode.themimu.info/static/riverbankerosin.html https://myit-servir.adpc.net/ Original dataset title: Ayeyarwady river bank erosion 1988-2019
  • Updated April 17, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Niger between 2017 and 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2013, WorldClim 1970-2000, FAO data and NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2013, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Niger, 2018 - Land Degradation, 2001-2013
  • Updated April 17, 2020 | Dataset date: Jan 1, 1992-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Pakistan in 2017. Data source: ESA (300m resolution) 1992-2015, FAO (lithology), WorldClim (rainfall incidence), land cover (NASA MODIS) and slope length (NASA SRTM digital elevation model). The key indicators used for the analysis were the average ecological change and the percentage of surface prone to erosion. It should be noted that land degradation, according to the current ICA methodology, is not a stand-alone map but has to be considered as a lens that, overlaid on top of the ICA Areas, provide further information to refine broad programmatic strategies. The brown-green scheme has just been used for the layer preview because, for the purposes of this analysis, only negative values of ecological change and districts with a surface prone to erosion above 20% have been used for the final map (see "ICA Pakistan, 2017 - Land Degradation 1992-2015" static map for further details). Original dataset title: ICA Pakistan, 2017 - Land Degradation, 1992-2015
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by first-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Mauritania in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2013, WorldClim 1970-2000, FAO data and NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de première niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Mauritanie en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2013, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Mauritania, 2017 - Land Degradation, 2001-2012
  • 20+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Mali in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Mali, 2017 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Lesotho in 2015. Data source: NASA MODIS 2001-2012. The key indicator used for the analysis was the average ecological changes observed between 2001 and 2012 through remotely sensed data. It should be noted that the land degradation analysis consisted of an erosion propensity estimation, but given the low percentages of province surface erosion-prone, the map was not included in the final report. Original dataset title: ICA Lesotho, 2015 - Land Degradation, 2001-2012
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2016
    This dataset updates: As needed
    Land Cover change 2001-2016; Erosion Propensity 2016. This layer contains information about the land degradation phenomenon - by second-level administrative area - Data sources, Land cover from HQ OSE GIS Analysis of NASA MODIS 2001-2016, Erosion analysis according to RUSLE equation considering: -WorldClim Rain 1970-2000, -FAO Global Soil map -NASA SRTM Digital Elevation Model data. -MODIS Land cover The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface. Original dataset title: Kyrgyzstan Land Degradation 2001-2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Honduras in 2017. Data sources: HQ OSEP GIS Analyse of NASA MODIS 2001-2012, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Original dataset title: ICA Honduras, 2017 - Land Degradation, 2001-2012
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Haiti in 2017. Data source: NASA MODIS, 2001-2012. The key indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour déterminer le niveau de dégradation de terres observé pendant l'Analyse Integrée de Contexte (AIC) effectuée en Haiti en 2017. Source des données: NASA MODIS, 2001-2012. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Haiti, 2017 - Land Degradation, 2001-2012
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Jordan in 2019. Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface. Original dataset title: ICA Jordan, 2019 - Land Degradation, 2001-2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Dominican Republic in 2017. Data source: NASA MODIS, 2001-2012. The key indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Original dataset title: ICA Dominican Republic, 2017 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2017
    This dataset updates: As needed
    This layer contains the information about the soil erosion propensity calculated during the Integrated Context Analysis (ICA) run in Ecuador in 2018. Data source: IEE Mapa de Sistemas Productivos, 2009-2017 (C Factor), NASA SRTM Digital Elevation Model 30m (LS Factor), Climatologies at High resolution for the Earth's Land Surface Areas (CHELSA), 1979-2013 (R Factor), Ministero de Agricultura, Ganaderia, Acuacultura y Pesca (MAGAP, K Factor). The main indicator used for the analysis was the percentage of erosion-prone surface by second-level administrative area. Original dataset title: ICA Ecuador, 2018 - Erosion Propensity, 2009-2017
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed during the Integrated Context Analysis (ICA) run in Democratic Republic of Congo in 2017. The analysis was performed in three hot-spot provinces in the north-east part of the country (Ituri, Nord-Kivu and Sud-Kivu) because of the recent conflict outbreak and increasing food insecurity levels. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012 The main indicators used for the analysis were the average ecological change observed within the time window considered and the percentage of prone-erosion district surface. Cette couche contient les données necessaires pour déterminer le niveau de dégradation de terres - par unité administrative de deuxième niveau - observé pendant l'Analyse Integrée de Contexte (AIC) executée en République Démocratique du Congo en 2017. Source des données: HQ OSEP GIS Analyse de NASA MODIS, 2001-2012 Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Democratic Republic of Congo, 2017 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analysis of NASA MODIS 2001-2012, WorldClim 1970-2000, FAO data and NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Chad, 2017 - Land Degradation, 2001-2012
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by first-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data sources: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. The main indicators used for the analysis were the average ecological changes observed between 2001 and 2012 and the percentage of erosion-prone surface. Cette couche contient les données necessaires pour determiner le niveau de dégradation des terres – par unité administrative de deuxième niveau – observé pendant l’Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: HQ OSEP GIS Analyse des données NASA MODIS 2001-2012, WorldClim 1970-2000, FAO et NASA SRTM Digital Elevation Model. Les indicateurs principaux utilisés pour l'analyse étaient les changements moyens de couverture du sol observés entre 2001 et 2012 et la pourcentage de surface ayant une propension à l'érosion significative. Original dataset title: ICA Burkina Faso, 2018 - Land Degradation, 2001-2012
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2012
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon calculated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS 2001-2012. The key indicators used for the analysis were the average ecological change observed in the reference period and the percentage of surface prone to erosion. Original dataset title: ICA Armenia, 2016 & 2017 - Land Degradation, 2001-2012
  • 10+ Downloads
    Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface. Original dataset title: ICA Afghanistan, 2019 - Land Degradation, 2001-2016