Cargando…
Comparative Study on Recognition Models of Black-Odorous Water in Hangzhou Based on GF-2 Satellite Data
To improve the ability of remote sensing technology in recognizing black-odorous water bodies in Hangzhou, this study analyzed the typical spectral characteristics of black-odorous water in Hangzhou based on measured spectral data and water quality parameters, including the transparency, dissolved o...
Autores principales: | Yu, Zhifeng, Huang, Qiyu, Peng, Xiaoxue, Liu, Haijian, Ai, Qin, Zhou, Bin, Yuan, Xiaohong, Fang, Meihong, Wang, Ben |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230946/ https://www.ncbi.nlm.nih.gov/pubmed/35746373 http://dx.doi.org/10.3390/s22124593 |
Ejemplares similares
-
Geometric Calibration and Accuracy Verification of the GF-3 Satellite
por: Zhao, Ruishan, et al.
Publicado: (2017) -
Polarimetric Calibration and Quality Assessment of the GF-3 Satellite Images
por: Chang, Yonglei, et al.
Publicado: (2018) -
A Learning-Enhanced Two-Pair Spatiotemporal Reflectance Fusion Model for GF-2 and GF-1 WFV Satellite Data
por: Ge, Yanqin, et al.
Publicado: (2020) -
A Novel Ship-Tracking Method for GF-4 Satellite Sequential Images
por: Yao, Libo, et al.
Publicado: (2018) -
Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China
por: Liu, Qingsheng, et al.
Publicado: (2018)