Crop type classification in Southern Brazil: Integrating remote sensing, crop modeling and machine learning.
Luan Pierre PottTelmo Jorge Carneiro AmadoRaí Augusto SchwalbertGeomar Mateus CorassaIgnacio Antonio CiampittiPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- remote sensing
- machine learning
- change detection
- multispectral
- multi spectral images
- remotely sensed
- land cover classification
- remote sensing images
- remote sensing imagery
- pattern recognition
- hyperspectral images
- image analysis
- image fusion
- hyperspectral
- hyperspectral data
- image processing
- remote sensing data
- automatic image registration
- high spatial resolution
- supervised classification
- hyperspectral imagery
- satellite images
- remotely sensed images
- weather prediction
- satellite data
- remotely sensed imagery
- feature selection
- high resolution
- digital image analysis
- remote sensed images
- satellite imagery
- remotely sensed data
- landsat tm
- land cover
- earth observation
- feature vectors
- environmental sciences
- human skin
- image classification
- high quality
- data mining
- hyperspectral remote sensing
- pixel classification