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

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

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-...

Full description

Bibliographic Details
Main Authors: Hossein Shafizadeh-Moghadam, Morteza Khazaei, Seyed Kazem Alavipanah, Qihao Weng
Format: Article
Language:English
Published: Taylor & Francis Group 2021-08-01
Series:GIScience & Remote Sensing
Subjects:
land use and land cover
simple non-iterative clustering
multi-temporal ndvi
topographic data
arid and semi-arid region mapping
climate zones
Online Access:http://dx.doi.org/10.1080/15481603.2021.1947623

Internet

http://dx.doi.org/10.1080/15481603.2021.1947623

Similar Items