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2001 land cover map of Chipipa, Angola

Year of publication 2023

Place of publication Rome, Italy ;

Pages 1p.

Author FAO

Publisher FAO ;

Product type Brochure, flyer, fact-sheet

Synopsis (short abstract) The 2001 land cover map of Chipipa, Angola has been developed as part of the process of land degradation assessment in the area from 2001 to 2021. A stratified random sampling by land cover class was used for training data collection in Collect Earth Online (CEO). Land cover legend classes are prepared using LCML/LCCS v3. A temporal segmentation has been applied to Landsat image collections over the area of interest using the continuous change detection and classification (CCDC) algorithm in SEPAL platform. CCDC slice for 1 July 2001 has been used to generate the 2001 land cover map of Chipipa by using a random forest classification algorithm in Google Earth Engine (GEE).

Language English

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    The 2021 land cover map of Chipipa, Angola has been developed as part of the process of land degradation assessment in the area from 2001 to 2021. A stratified random sampling by land cover class was used for training data collection in Collect Earth Online (CEO). Land cover legend classes are prepared using LCML/LCCS v3. A temporal segmentation has been applied to Landsat image collections over the area of interest using the continuous change detection and classification (CCDC) algorithm in SEPAL platform. CCDC slice for 1 July 2021 has been used to generate the 2021 land cover map of Chipipa by using a random forest classification algorithm in Google Earth Engine (GEE).
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    The 2015 land cover map of Chipipa, Angola has been developed as part of the process of land degradation assessment in the area from 2001 to 2021. A stratified random sampling by land cover class was used for training data collection in Collect Earth Online (CEO). Land cover legend classes are prepared using LCML/LCCS v3. A temporal segmentation has been applied to Landsat image collections over the area of interest using the continuous change detection and classification (CCDC) algorithm in SEPAL platform. CCDC slice for 1 July 2015 has been used to generate the 2015 land cover map of Chipipa by using a random forest classification algorithm in Google Earth Engine (GEE).
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