Predicting Spatial Variations in Soil Nutrients with Hyperspectral Remote Sensing at Regional Scale

Rapid acquisition of the spatial distribution of soil nutrients holds great implications for farmland soil productivity safety, food security and agricultural management. To this end, we collected 1297 soil samples and measured the content of soil total nitrogen (TN), soil available phosphorus (AP)...

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Detalles Bibliográficos
Autores principales: Song, Ying-Qiang, Zhao, Xin, Su, Hui-Yue, Li, Bo, Hu, Yue-Ming, Cui, Xue-Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163195/
https://www.ncbi.nlm.nih.gov/pubmed/30217092
http://dx.doi.org/10.3390/s18093086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163195/
https://www.ncbi.nlm.nih.gov/pubmed/30217092
http://dx.doi.org/10.3390/s18093086

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