Improving the Remote Sensing Retrieval of Phytoplankton Functional Types (PFT) Using Empirical Orthogonal Functions: A Case Study in a Coastal Upwelling Region.
Marco A. Correa-RamirezCarmen E. MoralesRicardo LetelierValeria AnabalónSamuel HormazabalPublished in: Remote. Sens. (2018)
Keyphrases
- remote sensing
- remotely sensed
- change detection
- multispectral
- remote sensing images
- image analysis
- image fusion
- remote sensing imagery
- satellite images
- high resolution
- image processing
- satellite data
- automatic image registration
- hyperspectral
- remote sensing data
- land cover
- satellite imagery
- digital image analysis
- remote sensed images
- high spatial resolution
- hyperspectral imagery
- remotely sensed images
- geographical information systems
- remotely sensed imagery
- hyperspectral images
- multi spectral images
- image retrieval
- hyperspectral remote sensing
- earth observation
- hyperspectral imaging
- remotely sensed data
- land cover classification
- neural network
- earth science
- geographic information systems
- multiresolution