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The Malawi Mapping and Monitoring of Land Resources in Support of Land Restoration Project provides the Government of Malawi and its development partners with a comprehensive one-kilometer (1-km) resolution land use land cover (LULC) dataset for three time periods; 1985, 2000, and 2017 (with 2020 available soon). Dozens of Landsat images (supplemented with Sentinel images for 2017) were visually interpreted to develop a 1-km LULC dataset for each of the three time periods. To assist in validating the interpretation, high-resolution satellite images were used from 2015-2017. An assessment of the classification accuracy using high-resolution imagery and field validation indicates general accuracy of 95 percent or better. Geographers from the U.S. Geological Survey, EROS Center implemented this activity that supported both USAID/Malawi and Government of Malawi programs in sustainable agriculture and the environment with baseline and time-series geographic data and information. The work was accomplished through land resource mapping and monitoring for scaling-up tree-based ecological approaches (TBEAs). The activity responded to evidence from the field and from satellite imagery of a growing agro-environmental transformation of landscape regreening through increases in on-farm tree cover. Areas of increasing tree cover are providing many short- and long-term benefits to agricultural production, forest resources and land restoration. This activity also responded to a critical information gap on the current state of natural resources, accurate LULC, the change dynamics of LULC, and the geographic extent and impacts of TBEAs on agriculture and the environment. This activity filled these gaps by providing detailed geographic baselines / maps, time-series maps to characterize recent LULC change. Other maps were produced to complement this time-series, including a detailed map of cropland, and on-farm tree cover to support the information needs and actions for taking the regreening movement to a national scale. Description
This series of three-period land use and land cover (LULC) datasets (1985, 2000, and 2017) fills a critical gap in accurate mapping and monitoring of change in Malawi’s land resources. The LULC mapping activity is an important part of ongoing efforts to establish a robust monitoring system for catalyzing successful forest landscape restoration in Malawi. To map and monitor these changes, a 32 LULC class system was used, based on the Malawi LULC Schema. This classification system was developed through the Malawi REDD+ Program and provides a logical framework for all LULC classifications of Malawi. It provides LULC definitions. It is hierarchical, beginning with six general classes, with increasing levels of classification detail in numerous sub-classes. The 32 classes used in producing this time-series represent all the general and many of the sub-classes in the Schema. A major element is that they all be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM), developed by a team at the U.S. Geological Survey EROS Center, was used to facilitate the photointerpretation and mapping. It operates as an extension of Esri’s ArcGIS Desktop ArcMap software. In July 2017, Malawi adopted a National Forest Landscape Restoration (FLR) Strategy to accelerate action on restoring degraded and deforested land to achieve national goals for climate resilience, poverty alleviation, food security, and sustainable economic development. As Malawi’s contribution to the Africa-wide and global restoration movements AFR100 and the Bonn Challenge, Malawi pledged to restore 4.5 million hectares of degraded and deforested land by 2030. Tracking progress on the national commitment to FLR is necessary to demonstrate the contribution of restoration towards achieving critical development goals
Credits
G. Gray Tappan, USGS
W. Matthew Cushing, USGS |
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The Malawi Mapping and Monitoring of Land Resources in Support of Land Restoration Project provides the Government of Malawi and its development partners with a comprehensive one-kilometer (1-km) resolution land use land cover (LULC) dataset for three time periods; 1985, 2000, and 2017 (with 2020 available soon). Dozens of Landsat images (supplemented with Sentinel images for 2017) were visually interpreted to develop a 1-km LULC dataset for each of the three time periods. To assist in validating the interpretation, high-resolution satellite images were used from 2015-2017. An assessment of the classification accuracy using high-resolution imagery and field validation indicates general accuracy of 95 percent or better. Geographers from the U.S. Geological Survey, EROS Center implemented this activity that supported both USAID/Malawi and Government of Malawi programs in sustainable agriculture and the environment with baseline and time-series geographic data and information. The work was accomplished through land resource mapping and monitoring for scaling-up tree-based ecological approaches (TBEAs). The activity responded to evidence from the field and from satellite imagery of a growing agro-environmental transformation of landscape regreening through increases in on-farm tree cover. Areas of increasing tree cover are providing many short- and long-term benefits to agricultural production, forest resources and land restoration. This activity also responded to a critical information gap on the current state of natural resources, accurate LULC, the change dynamics of LULC, and the geographic extent and impacts of TBEAs on agriculture and the environment. This activity filled these gaps by providing detailed geographic baselines / maps, time-series maps to characterize recent LULC change. Other maps were produced to complement this time-series, including a detailed map of cropland, and on-farm tree cover to support the information needs and actions for taking the regreening movement to a national scale. Description
This series of three-period land use and land cover (LULC) datasets (1985, 2000, and 2017) fills a critical gap in accurate mapping and monitoring of change in Malawi’s land resources. The LULC mapping activity is an important part of ongoing efforts to establish a robust monitoring system for catalyzing successful forest landscape restoration in Malawi. To map and monitor these changes, a 32 LULC class system was used, based on the Malawi LULC Schema. This classification system was developed through the Malawi REDD+ Program and provides a logical framework for all LULC classifications of Malawi. It provides LULC definitions. It is hierarchical, beginning with six general classes, with increasing levels of classification detail in numerous sub-classes. The 32 classes used in producing this time-series represent all the general and many of the sub-classes in the Schema. A major element is that they all be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM), developed by a team at the U.S. Geological Survey EROS Center, was used to facilitate the photointerpretation and mapping. It operates as an extension of Esri’s ArcGIS Desktop ArcMap software. In July 2017, Malawi adopted a National Forest Landscape Restoration (FLR) Strategy to accelerate action on restoring degraded and deforested land to achieve national goals for climate resilience, poverty alleviation, food security, and sustainable economic development. As Malawi’s contribution to the Africa-wide and global restoration movements AFR100 and the Bonn Challenge, Malawi pledged to restore 4.5 million hectares of degraded and deforested land by 2030. Tracking progress on the national commitment to FLR is necessary to demonstrate the contribution of restoration towards achieving critical development goals
Credits
G. Gray Tappan, USGS
W. Matthew Cushing, USGS |
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G. Gray Tappan, USGS
W. Matthew Cushing, USGS |
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| typeKeywords:
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["Data","Service","Image Service","ArcGIS Server"] |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>This series of three-period land use and land cover (LULC) datasets (1985, 2000, and 2017) fills a critical gap in accurate mapping and monitoring of change in Malawi’s land resources. The LULC mapping activity is an important part of ongoing efforts to establish a robust monitoring system for catalyzing successful forest landscape restoration in Malawi. To map and monitor these changes, a 32 LULC class system was used, based on the Malawi LULC Schema. This classification system was developed through the Malawi REDD+ Program and provides a logical framework for all LULC classifications of Malawi. It provides LULC definitions. It is hierarchical, beginning with six general classes, with increasing levels of classification detail in numerous sub-classes. The 32 classes used in producing this time-series represent all the general and many of the sub-classes in the Schema. A major element is that they all be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM), developed by a team at the U.S. Geological Survey EROS Center, was used to facilitate the photointerpretation and mapping. It operates as an extension of Esri’s ArcGIS Desktop ArcMap software. </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN /></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>In July 2017, Malawi adopted a National Forest Landscape Restoration (FLR) Strategy to accelerate action on restoring degraded and deforested land to achieve national goals for climate resilience, poverty alleviation, food security, and sustainable economic development. As Malawi’s contribution to the Africa-wide and global restoration movements AFR100 and the Bonn Challenge, Malawi pledged to restore 4.5 million hectares of degraded and deforested land by 2030. Tracking progress on the national commitment to FLR is necessary to demonstrate the contribution of restoration towards achieving critical development goals</SPAN></SPAN></P></DIV></DIV></DIV> |
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| catalogPath:
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| title:
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Malawi Land Use Land Cover 1km 1985 |
| type:
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Image Service |
| url:
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https://gis.winrock.org/server |
| tags:
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["Land use","land cover"] |
| culture:
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en-US |
| name:
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Malawi_Land_Use_Land_Cover_1km_1985 |
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| spatialReference:
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WGS_1984_Web_Mercator_Auxiliary_Sphere |