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Cote d'Ivoire BNETD 2020 Land Cover Map
The Cote d'Ivoire BNETD 2020 Land Cover Map was produced by the Ivorian Government through a national institution, the Center for Geographic Information and Digital from the National Study Office Techniques and Development (BNETD-CIGN), with technical and financial support from the European Union. The methodology … classification deforestation forest landcover -
Global 3-class PALSAR-2/PALSAR Forest/Non-Forest Map
A newer version of this dataset with 4 classes for 2017-2020 can be found in JAXA/ALOS/PALSAR/YEARLY/FNF4 The global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels … alos alos2 classification eroc forest jaxa -
Global 4-class PALSAR-2/PALSAR Forest/Non-Forest Map
The global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels are assigned as "forest" and "non-forest", respectively. Here, "forest" is defined as the natural forest with … alos alos2 classification eroc forest jaxa
[null,null,[],[[["The Cote d'Ivoire BNETD 2020 Land Cover Map, created by the Ivorian Government with EU support, provides a detailed classification of land cover."],["The Global 3-class and 4-class PALSAR-2/PALSAR Forest/Non-Forest Maps utilize SAR data to differentiate forest and non-forest areas globally at a 25m resolution."],["The PALSAR-2/PALSAR datasets define \"forest\" as natural forest with a tree canopy density above 10%, excluding plantations and trees outside of forest areas."]]],[]]