Modelling the Dependence of Chlorophyll Leaf-Clip Measures on Vegetation Indices Derived from Multispectral UAS Images in Vineyards Parcels.
Gil GonçalvesUmberto AndrioloLúcio PaivaCristiano PremebidaAntónio FerrazPublished in: IGARSS (2023)
Keyphrases
- multispectral
- satellite images
- normalized difference vegetation index
- image data
- remote sensing
- multispectral images
- remotely sensed
- image analysis
- remote sensing data
- multi band
- remote sensing images
- land cover
- high spatial resolution
- multispectral satellite images
- hyperspectral
- spectral bands
- hyperspectral images
- visible spectrum
- spatial resolution
- remote sensing imagery
- remotely sensed images
- satellite imagery
- change detection
- spectral characteristics
- input image
- image classification
- high resolution satellite images
- satellite data
- remotely sensed data
- hyperspectral data
- multispectral imaging
- spectral data
- neural network
- spectral images
- high quality
- computer vision
- image processing
- land cover classification
- high resolution
- hyperspectral imagery
- image registration
- segmentation algorithm
- urban areas
- pattern recognition
- edge detection