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For: Wang H, Wen X, Wang Y, Cai L, Peng D, Liu Y. China’s Land Cover Fraction Change during 2001–2015 Based on Remote Sensed Data Fusion between MCD12 and CCI-LC. Remote Sensing 2021;13:341. [DOI: 10.3390/rs13030341] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Number Cited by Other Article(s)
1
Xu W, Song J, Long Y, Mao R, Tang B, Li B. Analysis and simulation of the driving mechanism and ecological effects of land cover change in the Weihe River basin, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023;344:118320. [PMID: 37352629 DOI: 10.1016/j.jenvman.2023.118320] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 05/13/2023] [Accepted: 06/02/2023] [Indexed: 06/25/2023]
2
Liu L, Zhang H, Zhang Y, Li F, Chen X, Wang Y, Wang Y. Spatiotemporal heterogeneity correction in land ecosystem services and its value assessment: a case study of the Loess Plateau of China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023;30:47561-47579. [PMID: 36740616 DOI: 10.1007/s11356-023-25338-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 01/11/2023] [Indexed: 06/18/2023]
3
Wang H, Liu Y, Wang Y, Yao Y, Wang C. Land cover change in global drylands: A review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023;863:160943. [PMID: 36526201 DOI: 10.1016/j.scitotenv.2022.160943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/08/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
4
The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products. SCIENCE CHINA. LIFE SCIENCES 2023;66:385-405. [PMID: 36040706 DOI: 10.1007/s11427-021-2143-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 06/10/2022] [Indexed: 10/14/2022]
5
Identifying Urban Wetlands through Remote Sensing Scene Classification Using Deep Learning: A Case Study of Shenzhen, China. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2022. [DOI: 10.3390/ijgi11020131] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
6
Yang R, Ren F, Xu W, Ma X, Zhang H, He W. China's ecosystem service value in 1992-2018: Pattern and anthropogenic driving factors detection using Bayesian spatiotemporal hierarchy model. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022;302:114089. [PMID: 34775337 DOI: 10.1016/j.jenvman.2021.114089] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 09/30/2021] [Accepted: 11/08/2021] [Indexed: 06/13/2023]
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