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  • Updated December 15, 2019 | Dataset date: May 30, 2019
    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.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    This dataset updates: As needed
    This layer contains information about the overall tree cover loss estimated during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. In absence of land degradation data, a deforestation analysis was performed using remotely sensed data as a proxy. Data source: Hansen/UMD/Google/USGS/NASA, 2000-2012. The key indicators used for the analysis were the district surface affected by tree cover loss and the percentage value compared to the total district area.
  • Updated December 14, 2019 | Dataset date: Feb 13, 2018
    This dataset updates: As needed
    This layer contains information about the predominant livelihood zones identified during the Integrated Context Analysis (ICA) run in Zimbabwe in 2015. Data source: Zimbabwe Country Office, 2012. The twenty-four main livelihood zones identified by the CO were reclassified into nine broad categories to make the visualization easier.
  • Updated December 14, 2019 | Dataset date: Jan 29, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon estimated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: NASA MODIS 2001-2012, FAO, NASA SRTM Digital Elevation Model (500m resolution). The key indicators used for the analysis were the average land cover change observed in the reference time frame and percentage of district area affected by erosion.
  • Updated December 14, 2019 | Dataset date: Jan 29, 2018
    This dataset updates: As needed
    This layer contains information about the predominant livelihood zones - by district level - elaborated during the Integrated Context Analysis (ICA) run in Tajikistan in 2015. Data source: HQ OSEP GIS Analysis of Fewsnet, 2011.
  • Updated December 14, 2019 | Dataset date: May 3, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative unit - identified during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data sources: Fewsnet, 2016.
  • Updated December 14, 2019 | Dataset date: Apr 26, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Sierra Leone in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012. The main indicators used for the analysis were the average land cover change observed within the time frame considered and the percentage of district erosion-prone surface.
  • Updated December 14, 2019 | Dataset date: Nov 26, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in South Sudan in 2016. Data source: Fewsnet, 2008.
  • Updated December 14, 2019 | Dataset date: Nov 23, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) performed in South Sudan in 2016. Data source: Regional Centre for Mapping of Resources for Development (RCMRD), 2010-2012. The main indicator used for the analysis was an average land degradation index, generated through a combination of factors such as land conformation, vegetation cover and quality, precipitation, soil type and erodibility, population density.
  • Updated December 14, 2019 | Dataset date: Nov 22, 2018
    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 Sudan in 2018. Data sources: HQ OSEP GIS Analysis 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 2001-2005 and 2009-2013 and the percentage of erosion-prone surface.
  • Updated December 14, 2019 | Dataset date: Nov 22, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: Fewsnet, 2011
  • Updated December 14, 2019 | Dataset date: Nov 21, 2018
    This dataset updates: As needed
    This layer contains information about the changes in tree cover density - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in the Philippines in 2014. Data source: Landsat Vegetation Continuous Fields (VCF), 2000-2010. It should be noted that, in absence of livelihood data, land cover was used as a proxy for rural livelihoods. The main indicator used for the analysis was the average provincial trend of tree cover change in the last ten years.
  • Updated December 14, 2019 | Dataset date: Jun 5, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during the Integrated Context Analysis (ICA) run in Senegal in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and the HQ GIS Unit and Programme division. Data source: Fewsnet, 2015. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées pendant l’Analyse Integrée du Contexte (AIC) executée en Senegal 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: Fewsnet, 2015.
  • Updated December 14, 2019 | Dataset date: Jun 4, 2018
    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 Senegal 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 Senegal 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.
  • Updated December 14, 2019 | Dataset date: Jan 26, 2018
    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).
  • Updated December 14, 2019 | Dataset date: Apr 20, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Mozambique in 2017. Data source: HQ OSEP GIS Analysis of NASA MODIS, 2001-2012. The main indicator used for the analysis was the percentage of district area that experienced deforestation in the time window examined.
  • Updated December 14, 2019 | Dataset date: Oct 15, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Oct 15, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during 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 source: Fewsnet, 2011. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées 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: Fewsnet, 2011.
  • Updated December 14, 2019 | Dataset date: May 29, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by second-level administrative area - identified during 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 source: Fewsnet, 2014 Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de deuxième niveau – identifiées 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: Fewsnet, 2014.
  • Updated December 14, 2019 | Dataset date: May 29, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Oct 23, 2018
    This dataset updates: As needed
    This layer contains information about the most predominant livelihood zones - by first-level administrative area - identified during 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 source: Fewsnet, 2013. Cette couche contient informations regard les zones de moyens d’existence prédominant – par unité administrative de première niveau – identifiées 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: Fewsnet, 2013.
  • Updated December 14, 2019 | Dataset date: Oct 23, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Feb 23, 2018
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon observed during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: European Space Agency, 1990-2010. Local land degradation data were not available for the purposes of this analysis, therefore a deforestation analysis was performed using remotely sensed land cover data. The key indicators used for the analysis were the percentage and the overall surface of vegetation cover loss.
  • Updated December 14, 2019 | Dataset date: Feb 22, 2018
    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.
  • Updated December 14, 2019 | Dataset date: Dec 3, 2019
    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.