Work

High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform

Year: 2018

Type: article

Source: Remote Sensing of Environment

DOI: 10.1016/j.rse.2018.02.055

Authors: Xiaoping Liu, Guohua Hu, Yimin Chen, Xia Li, Xiaocong Xu, Shaoying Li, Fengsong Pei, Shaojian Wang

Institutions: Sun Yat-sen University, East China Normal University, Guangzhou University, Jiangsu Normal University

Language: English

Topic: Land Use and Ecosystem Services

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities

Awards: G1226386862, G2480517845, G2860199604, G3517972567, G4859688764, G6390032288, G6449760210, G7464793345

OpenAlex ID: W2793327769

FWCI: 32.36

Cites: 39

Cited by: 626

Related to: 10