Comparative Analysis of GF-1 and HJ-1 Data to Derive the Optimal Scale for Monitoring Heavy Metal Stress in Rice

Remote sensing can actively monitor heavy metal contamination in crops, but with the increase of satellite sensors, the optimal scale for monitoring heavy metal stress in rice is still unknown. This study focused on identifying the optimal scale by comparing the ability to detect heavy metal stress...

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Detalles Bibliográficos
Autores principales: Wang, Dongmin, Liu, Xiangnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877006/
https://www.ncbi.nlm.nih.gov/pubmed/29509724
http://dx.doi.org/10.3390/ijerph15030461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877006/
https://www.ncbi.nlm.nih.gov/pubmed/29509724
http://dx.doi.org/10.3390/ijerph15030461

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