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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Detalles Bibliográficos
Autores principales: Liu, Qixin, Gu, Xingfa, Chen, Xinran, Mumtaz, Faisal, Liu, Yan, Wang, Chunmei, Yu, Tao, Zhang, Yin, Wang, Dakang, Zhan, Yulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879226/
https://www.ncbi.nlm.nih.gov/pubmed/35214511
http://dx.doi.org/10.3390/s22041611

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879226/
https://www.ncbi.nlm.nih.gov/pubmed/35214511
http://dx.doi.org/10.3390/s22041611

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