Adaptive estimation of multi-regional soil salinization using extreme gradient boosting with Bayesian TPE optimization-Reference-Cited by-同舟云学术

Adaptive estimation of multi-regional soil salinization using extreme gradient boosting with Bayesian TPE optimization

Published:2022-02-01 Issue:3 Volume:43 Page:778-811
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Baili¹²³,Zheng Hongwei¹²³^ORCID,Luo Geping¹²³,Chen Chunbo¹²³,Bao Anming¹²³,Liu Tie¹²³,Chen Xi¹²³

Affiliation:

1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, People’s Republic of China

2. Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, People’s Republic of China

3. University of Chinese Academy of Sciences, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

team project of the Chinese Academy of Sciences

Strategic Priority Research Program of the Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road

Advanced Cooperation Program of International Experts

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.2009589

Reference102 articles.

2. Assessing soil salinity using WorldView-2 multispectral images in Timpaki, Crete, Greece

3. Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

4. Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques

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