Modeling Remote-Sensing Reflectance and Retrieving Chlorophyll-a Concentration in Extremely Turbid Case-2 Waters (Lake Taihu, China).
Yunlin ZhangMingliang LiuBoqiang QinHendrik Jan van der WoerdJunsheng LiYunliang LiPublished in: IEEE Trans. Geosci. Remote. Sens. (2009)
Keyphrases
- remote sensing
- water quality
- satellite data
- change detection
- spectral data
- remote sensing images
- multispectral
- image analysis
- remote sensing imagery
- remote sensing data
- hyperspectral
- high resolution
- automatic image registration
- image fusion
- weather prediction
- satellite images
- high spatial resolution
- satellite imagery
- remotely sensed
- image processing
- multi spectral images
- digital image analysis
- land cover
- hyperspectral imaging
- hyperspectral remote sensing
- hyperspectral imagery
- remotely sensed imagery
- earth observation
- earth science
- remote sensed images
- neural network
- climate change
- image data
- single image
- shape from shading
- image interpretation
- target detection
- remotely sensed data
- image segmentation
- hyperspectral data
- measured data