Cargando…
Development and application of a new sensitivity analysis model for the remote sensing retrieval of heavy metals in water
This work proposes a new sensitivity analysis model, referred to as the D-δ(ε) model, for the remote sensing retrieval of heavy metals in bodies of water. By defining the reflectance ratio function (δ(ε)), we deduce the mathematical relationships between the heavy metal concentration sequences (D(i)...
Autores principales: | Guo, Yu, Deng, Ruru, Li, Jiayi, Wang, Jing, Hua, Zhenqun, Tang, Yuming, Liang, Yeheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800330/ https://www.ncbi.nlm.nih.gov/pubmed/36590496 http://dx.doi.org/10.1016/j.heliyon.2022.e12033 |
Ejemplares similares
-
Improved the Impact of SST for HY-2A Scatterometer Measurements by Using Neural Network Model
por: Wang, Jing, et al.
Publicado: (2023) -
Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments
por: Li, Helong, et al.
Publicado: (2018) -
Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology
por: Liu, Tianjiao, et al.
Publicado: (2018) -
Remote Data Retrieval for Bioinformatics Applications: An Agent Migration Approach
por: Gao, Lei, et al.
Publicado: (2011) -
Remote sensing and water resources
por: Cazenave, A, et al.
Publicado: (2016)