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Book (stand-alone)Training manual for land use/land cover classification and mapping in Nigeria using SEPAL 2020
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No results found.This manual was designed to introduce users to the procedures for navigating SEPAL and Collect Earth Online Software in order to prepare land use/land cover mapping. The illustrations and examples are tailored to mapping Nigeria’s land cover. SEPAL is a free open source package which offers great potential to developing countries with limited access to multi-date images and limited computing resources for image processing and analyses. -
Project2015 and 2020 Tanzania land cover map 2022
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No results found.2015 and 2020 Tanzania Land Cover Map. -
Project2018 land cover map of Chongoroi, Angola 2022
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No results found.The 2018 land cover map of Chongoroi, 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. Land cover legend classes are prepared using LCLM/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 2018 has been used to generate the 2018 land cover map of Chongoroi by using a Random Forest classification algorithm in Google Earth Engine.
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