Spatial Prediction and Mapping of Soil Water Content by TPE-GBDT Model in Chinese Coastal Delta Farmland with Sentinel-2 Remote Sensing Data

Spatial Prediction and Mapping of Soil Water Content by TPE-GBDT Model in Chinese Coastal Delta Farmland with Sentinel-2 Remote Sensing Data

Soil water content is an important indicator used to maintain the ecological balance of farmland. The efficient spatial prediction of soil water content is crucial for ensuring crop growth and food production. To this end, 104 farmland soil samples were collected in the Yellow River Delta (YRD) in C...

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Bibliographic Details
Main Authors: Dexi Zhan, Yongqi Mu, Wenxu Duan, Mingzhu Ye, Yingqiang Song, Zhenqi Song, Kaizhong Yao, Dengkuo Sun, Ziqi Ding
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Agriculture
Subjects:
machine learning
GBDT
hyperparameter
soil water content
Sentinel-2
farmland
Online Access:https://www.mdpi.com/2077-0472/13/5/1088

Internet

https://www.mdpi.com/2077-0472/13/5/1088

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