Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms

Heavy metal pollution in crops leads to phenological changes, which can be monitored by remote sensing technology. The present study aims to develop a method for accurately evaluating heavy metal stress in rice based on remote sensing phenology. First, the enhanced spatial and temporal adaptive refl...

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Detalles Bibliográficos
Autores principales: Liu, Tianjiao, Liu, Xiangnan, Liu, Meiling, Wu, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308996/
https://www.ncbi.nlm.nih.gov/pubmed/30558149
http://dx.doi.org/10.3390/s18124425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308996/
https://www.ncbi.nlm.nih.gov/pubmed/30558149
http://dx.doi.org/10.3390/s18124425

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