Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors

• Published in: GIScience and remote sensing Vol. 58; no. 6; pp. 914 - 928
• Main Authors: Shafizadeh-Moghadam, Hossein, Khazaei, Morteza, Alavipanah, Seyed Kazem, Weng, Qihao
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 18.08.2021; Taylor & Francis Group
• Subjects: arid and semi-arid region mapping; basins; climate zones; gardens; image analysis; Internet; Land use and land cover; land use and land cover maps; Landsat; Middle East; multi-temporal NDVI; rangelands; semiarid zones; simple non-iterative clustering; temporal variation; texture; time series analysis; topographic data; topography; watershed management; wetlands; Middle East
• ISSN: 1548-1603; 1943-7226; 1943-7226
• DOI: 10.1080/15481603.2021.1947623

Mapping the distribution and type of land use and land cover (LULC) is essential for watershed management. The Tigris-Euphrates basin is a transboundary region in the Middle East shared between six countries, but a recent fine-scale LULC map of the area is lacking. Using Landsat-8 time series, a 30-...