Using Machine-Learning Algorithms to Predict Soil Organic Carbon Content from Combined Remote Sensing Imagery and Laboratory Vis-NIR Spectral Datasets.
Hayfa ZayaniYoussef FouadDidier MichotZeineb KassoukNicolas N. BaghdadiEmmanuelle VaudourZohra Lili-ChabaaneChristian WalterPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning algorithms
- remote sensing imagery
- hyperspectral
- remote sensing
- benchmark data sets
- learning algorithm
- change detection
- machine learning
- spectral data
- learning problems
- decision trees
- machine learning methods
- vis nir
- hyperspectral imagery
- standard machine learning algorithms
- wavelet transformation
- remote sensing data
- random forests
- hyperspectral images
- land cover
- information content
- remote sensing images
- data sets
- multi source
- satellite images
- infrared
- artificial neural networks
- high dimensional
- data streams
- neural network