{
 "culture": "en-US",
 "name": "Change_Detection_2019_to_2023",
 "guid": "EB863F8C-853F-4A82-A1AC-F028213F5389",
 "catalogPath": "",
 "snippet": "To support the Green Gicumbi project, the following key layers can be developed and maintained to monitor and analyze land use and land cover (LULC) changes within the intervention areas:\n\nBaseline Land Use/Land Cover (LULC): A foundational layer that classifies initial land use types (e.g., forest, agriculture, water bodies, built-up areas) within the project area, ideally using satellite imagery from 2019 as a baseline reference.\n\nAnnual Change Detection: Yearly LULC change layers (e.g., 2019\u20132023) to track transformations in land use over time, highlighting areas of afforestation, reforestation, agricultural conversion, and urban expansion. These layers can help assess the project\u2019s impact on landscape restoration.\n\nForest and Vegetation Cover: Layers focused specifically on forest cover and vegetation density. These can identify deforestation and reforestation trends and are useful for evaluating the project\u2019s efforts in improving vegetation density and reducing land degradation.\n\nSoil Erosion and Degradation Zones: Zones where soil erosion or degradation is prominent, as detected through remote sensing indices or field data. These zones help prioritize areas needing intervention, such as soil conservation structures and reforestation.\n\nWater Bodies and Wetlands: Layers that monitor the extent and quality of water bodies, including any wetland restoration efforts. This information supports watershed management activities within the project area.\n\nAgricultural Land Management: Layers indicating changes in agricultural practices, cropping patterns, and land management techniques. This is essential for analyzing shifts toward sustainable agriculture promoted by the project.\n\nThese layers provide comprehensive insights into LULC dynamics, assisting the Green Gicumbi project in evaluating restoration impacts, guiding sustainable land management practices, and reporting progress toward environmental goals.",
 "description": "",
 "summary": "To support the Green Gicumbi project, the following key layers can be developed and maintained to monitor and analyze land use and land cover (LULC) changes within the intervention areas:\n\nBaseline Land Use/Land Cover (LULC): A foundational layer that classifies initial land use types (e.g., forest, agriculture, water bodies, built-up areas) within the project area, ideally using satellite imagery from 2019 as a baseline reference.\n\nAnnual Change Detection: Yearly LULC change layers (e.g., 2019\u20132023) to track transformations in land use over time, highlighting areas of afforestation, reforestation, agricultural conversion, and urban expansion. These layers can help assess the project\u2019s impact on landscape restoration.\n\nForest and Vegetation Cover: Layers focused specifically on forest cover and vegetation density. These can identify deforestation and reforestation trends and are useful for evaluating the project\u2019s efforts in improving vegetation density and reducing land degradation.\n\nSoil Erosion and Degradation Zones: Zones where soil erosion or degradation is prominent, as detected through remote sensing indices or field data. These zones help prioritize areas needing intervention, such as soil conservation structures and reforestation.\n\nWater Bodies and Wetlands: Layers that monitor the extent and quality of water bodies, including any wetland restoration efforts. This information supports watershed management activities within the project area.\n\nAgricultural Land Management: Layers indicating changes in agricultural practices, cropping patterns, and land management techniques. This is essential for analyzing shifts toward sustainable agriculture promoted by the project.\n\nThese layers provide comprehensive insights into LULC dynamics, assisting the Green Gicumbi project in evaluating restoration impacts, guiding sustainable land management practices, and reporting progress toward environmental goals.",
 "title": "Change Detection 2019 to 2023",
 "tags": [
  "Land use",
  "Land cover"
 ],
 "type": "Feature Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Feature Service",
  "ArcGIS Server",
  "Feature Access",
  "providerSDS"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
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 "maxScale": 1.7976931348623157E308,
 "spatialReference": "WGS_1984_UTM_Zone_36S",
 "accessInformation": "",
 "licenseInfo": ""
}