Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors-Reference-Cited by-同舟云学术

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

Published:2021-07-19 Issue:6 Volume:58 Page:914-928
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Shafizadeh-Moghadam Hossein¹^ORCID,Khazaei Morteza²^ORCID,Alavipanah Seyed Kazem²,Weng Qihao³^ORCID

Affiliation:

1. Department of Water Engineering and Management, Tarbiat Modares University, Tehran, Iran

2. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran

3. Center for Urban and Environmental Change, Department of Earth and Environmental Systems, Indiana State University, Terre Haute, IN, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2021.1947623

Reference56 articles.

1. The Future of Freshwater in Shatt Al- Arab River (Southern Iraq)

2. Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results

3. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

4. Object based image analysis for remote sensing

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