Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction.
Mailson Freire de OliveiraBrenda Valeska OrtizGuilherme Trimer MorataAndrés-F. JiménezGlauco de Souza RolimRouverson Pereira da SilvaPublished in: Remote. Sens. (2022)
Keyphrases
- machine learning algorithms
- remote sensing
- benchmark data sets
- multispectral
- remote sensing images
- change detection
- learning algorithm
- machine learning
- weather prediction
- satellite images
- decision trees
- remote sensing data
- remote sensing imagery
- prediction accuracy
- image processing
- satellite imagery
- machine learning methods
- learning problems
- image analysis
- high resolution
- image fusion
- high spatial resolution
- hyperspectral
- standard machine learning algorithms
- satellite data
- automatic image registration
- land cover
- remotely sensed
- remotely sensed data
- digital image analysis
- remote sensed images
- machine learning approaches
- hyperspectral remote sensing
- hyperspectral images
- multispectral images
- remotely sensed images
- machine learning models
- training set
- multi spectral images
- hyperspectral imagery
- earth science
- high quality
- earth observation
- computer vision
- domain specific
- supervised learning
- image registration