Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization

Soil moisture content (SMC) plays an essential role in geoscience research. The SMC can be retrieved using an artificial neural network (ANN) based on remote sensing data. The quantity and quality of samples for ANN training and testing are two critical factors that affect the SMC retrieving results...

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Autors principals:	Qixin Liu, Xingfa Gu, Xinran Chen, Faisal Mumtaz, Yan Liu, Chunmei Wang, Tao Yu, Yin Zhang, Dakang Wang, Yulin Zhan
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-02-01
Col·lecció:	Sensors
Matèries:	soil moisture content artificial neural network sample optimization synthetic aperture radar optical remote sensing image
Accés en línia:	https://www.mdpi.com/1424-8220/22/4/1611
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