Identification of Soil Texture Classes Under Vegetation Cover Based on Sentinel-2 Data With SVM and SHAP Techniques-Reference-Cited by-同舟云学术

Identification of Soil Texture Classes Under Vegetation Cover Based on Sentinel-2 Data With SVM and SHAP Techniques

Published:2022 Issue: Volume:15 Page:3758-3770
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:

Zhou Yanan¹,Wu Wei²,Wang Huan¹,Zhang Xin¹,Yang Chao³,Liu Hongbin¹^ORCID

Affiliation:

1. College of Resources and Environment, Southwest University, Chongqing, China

2. College of Computer and Information Science, Southwest University, Chongqing, China

3. Chongqing Tobacco Science Institute, Southwest University, Chongqing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference99 articles.

1. Unesco soil map of the world, revised legend, with corrections and updates;fao;World Soil Resour Rep,1988

2. Consistent individualized feature attribution for tree ensembles;lundberg,2018

3. A unified approach to interpreting model predictions;lundberg;Adv Neural Inf Process Syst,2017

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