An Ensemble Learning Approach for Land Use/Land Cover Classification of Arid Regions for Climate Simulation: A Case Study of Xinjiang, Northwest China-Reference-Cited by-同舟云学术

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An Ensemble Learning Approach for Land Use/Land Cover Classification of Arid Regions for Climate Simulation: A Case Study of Xinjiang, Northwest China

Published:2023 Issue: Volume:16 Page:2413-2426
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Du Haoyang¹^ORCID,Li Manchun²,Xu Yunyun¹,Zhou Chen¹^ORCID

Affiliation:

1. Department of Geographic Information Science, School of Geography and Ocean Science, Nanjing University, Nanjing, China

2. Jiangsu Provincial Key Laboratory of Geographic Information Technology, School of Geography and Ocean Science, Nanjing University, Nanjing, China

Funder

National Key Research & Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10050743.pdf?arnumber=10050743

Reference86 articles.

1. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

2. Reducing landscape heterogeneity for improved land use and land cover (LULC) classification across the large and complex Ethiopian highlands

3. Land Cover CCI;defourny,2012

4. A Novel Land Cover Classification Map Based on a MODIS Time-Series in Xinjiang, China

5. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

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