| snippet:
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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:
Baseline 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.
Annual Change Detection: Yearly LULC change layers (e.g., 2019–2023) 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’s impact on landscape restoration.
Forest 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’s efforts in improving vegetation density and reducing land degradation.
Soil 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.
Water 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.
Agricultural 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.
These 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. |
| 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:
Baseline 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.
Annual Change Detection: Yearly LULC change layers (e.g., 2019–2023) 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’s impact on landscape restoration.
Forest 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’s efforts in improving vegetation density and reducing land degradation.
Soil 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.
Water 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.
Agricultural 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.
These 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. |
| extent:
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[[29.9613124654517,-1.63570643890226],[30.1814496443842,-1.39157296503071]] |
| accessInformation:
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| thumbnail:
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thumbnail/thumbnail.png |
| maxScale:
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1.7976931348623157E308 |
| typeKeywords:
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["Data","Service","Feature Service","ArcGIS Server","Feature Access","providerSDS"] |
| description:
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| licenseInfo:
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| catalogPath:
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|
| title:
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Change Detection 2019 to 2023 |
| type:
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Feature Service |
| url:
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|
| tags:
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["Land use","Land cover"] |
| culture:
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en-US |
| name:
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Change_Detection_2019_to_2023 |
| guid:
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EB863F8C-853F-4A82-A1AC-F028213F5389 |
| minScale:
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0 |
| spatialReference:
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WGS_1984_UTM_Zone_36S |