Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression.
Alper AdakSeth C. MurraySofija BozinovicRegan LindseyShakirah NakasaggaSumantra ChatterjeeSteven L. AndersonScott WildePublished in: Remote. Sens. (2021)
Keyphrases
- remotely sensed imagery
- remote sensing
- machine learning
- remotely sensed
- satellite images
- change detection
- multispectral
- remotely sensed images
- temporal information
- hyperspectral images
- image analysis
- land cover
- image processing
- model selection
- high resolution
- high spatial resolution
- infrared
- temporal reasoning
- remote sensing images
- hyperspectral
- satellite imagery
- geospatial data
- data mining
- image fusion
- pattern recognition
- urban areas
- geographical information systems
- synthetic aperture radar
- man made
- image reconstruction
- computer vision
- support vector machine
- data analysis