Potential of Remote Sensing Images for Soil Moisture Retrieving Using Ensemble Learning Methods in Vegetation-Covered Area

Potential of Remote Sensing Images for Soil Moisture Retrieving Using Ensemble Learning Methods in Vegetation-Covered Area

Soil moisture (SM) plays a critical role in various fields such as agriculture, hydrology, and land-atmosphere interactions. This study aims to evaluate the performance of the categorical boosting algorithm (CatBoost) in comparison to other multiple-boosting algorithms for SM prediction. Appropriate...

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Bibliographic Details
Main Authors: Ya Gao, Liguo Wang, Geji Zhong, Yitong Wang, Jinghui Yang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Boosting
categorical boosting algorithm (CatBoost)
extreme gradient boosting (XGBoost)
gradient boosting decision tree (GBDT)
light gradient boosting machine (lightGBM)
sentinel-1
Online Access:https://ieeexplore.ieee.org/document/10237270/

Internet

https://ieeexplore.ieee.org/document/10237270/

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