Prediction of the Nitrogen, Phosphorus and Potassium Contents in Grape Leaves at Different Growth Stages Based on UAV Multispectral Remote Sensing.
Xuelian PengDianyu ChenZhenjiang ZhouZhitao ZhangCan XuQing ZhaFang WangXiaotao HuPublished in: Remote. Sens. (2022)
Keyphrases
- multispectral
- remote sensing
- remote sensing images
- hyperspectral
- remote sensing data
- image analysis
- change detection
- satellite images
- weather prediction
- high spatial resolution
- multi spectral images
- spatial resolution
- hyperspectral imagery
- multispectral images
- land cover
- multi band
- satellite imagery
- image processing
- high resolution
- remote sensing imagery
- image fusion
- satellite data
- land cover classification
- remotely sensed
- spectral bands
- automatic image registration
- remotely sensed images
- hyperspectral images
- earth observation
- digital image analysis
- digital elevation models
- hyperspectral data
- multiscale
- climate change
- earth science
- remotely sensed data
- image classification
- neural network