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Land Cover Classification System (LCCS)
The Land Cover Classification System (LCCS) is a landmark initiative. -
FAO’s Land Cover Classification System (LCCS)
FAO’s Land Cover Classification System (LCCS) is a hierarchical system. -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Yangambi Key Landscape for Conservation Land Cover Change and Validation Data...
The Yangambi land cover change dataset covers an area of 7276km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Wapok Key Landscape for Conservation Land Cover and Validation Datasets (2000...
The Wapok land cover and change dataset covers an area of 57 776km^2^ and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Salonga Key Landscape for Conservation Land Cover and Validation Datasets (20...
The Salonga land cover and change dataset covers an area of 66 625km2 and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Timor-Leste Key Landscape for Conservation Land Cover and Validation Datasets...
The Timor-Leste land cover and change dataset covers an area of 14 931km2 and mapped with dichotomous (8 land cover classes)and modular (up to 32 land cover classes) levels... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
The Caribbean Key Landscape for Conservation Land Cover and Validation Datase...
The Caribbean land cover and change dataset covers an area of 89 883km2 and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
The Madagascar Key Landscape for Conservation Land Cover and Validation Datas...
The Madagascar land cover and change dataset covers an area of 124 012km2 and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Teaser - Upemba Key Landscape for Conservation Land Cover and Validation Data...
The teaser dataset of Upemba KLC covers an area of 6067km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Teaser - The Great Limpopo Key Landscape for Conservation Land Cover and Vali...
The teaser dataset of the Great Limpopo KLC covers an area of 3888km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Teaser - Takamanda Key Landscape for Conservation Land Cover and Validation D...
The teaser dataset of Takamanda KLC covers an area of 239km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Teaser - Tai-Sapo Key Landscape for Conservation Land Cover and Validation Da...
The teaser dataset of Tai-Sapo KLC covers an area of 9100km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Teaser - Manovo-Gounda-St Floris-Bamingui Key Landscape for Conservation Land...
The teaser dataset of Manovo-Gounda-St Floris-Bamingui KLC covers an area of 10328km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Takamanda Key Landscape for Conservation Land Cover and Validation Datasets (...
The Takamanda land cover dataset covers an area of 79534km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Tai-Sapo Key Landscape for Conservation Land Cover and Validation Datasets (2...
The Tai-Sapo land cover dataset covers an area of 40219km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Comoe-Mole Key Landscape for Conservation Land Cover and Validation Datasets ...
The Comoe-Mole land cover dataset covers an area of 40648km2 and mapped with dichotomous (8 land cover classes) level based on FAO's Land Cover Classification System (LCCS).... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
North and South Luangwa Key Landscape for Conservation Land Cover and Validat...
The North and South Luangwa land cover dataset covers an area of 34880km2 and mapped with dichotomous (8 land cover classes) level based on FAO's Land Cover Classification... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
The Great Limpopo Key Landscape for Conservation Land Cover and Validation Da...
The Great Limpopo land cover dataset covers an area of 65475km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
The Yangambi Key Landscape for Conservation Land Cover and Validation Dataset...
The Yangambi land cover dataset covers an area of 7276km2 and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's... -
PANGAEA (Data Publisher for Earth & Environmental Science)
Imported
Mbam Djerem Key Landscape for Conservation Land Cover and Validation Datasets...
The Mbam Djerem land cover dataset covers an area of 11510km2 and mapped with dichotomous (8 land cover classes) level based on FAO's Land Cover Classification System (LCCS)....
