DESIS Hyperspectral Satellite Data for Cropping Pattern Classification

Cropping patterns, including intercropping, are recognized as sustainable agricultural practices in many parts of Africa. However, there is a lack of data and information regarding their extent and specific locations. This study aims to understand the dynamics of these cropping patterns using hypers...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.17917-17929
Hauptverfasser:	Mahlayeye, Mbali, Darvishzadeh, Roshanak, Jepkosgei, Charlynne, Mlawa, Kelvin Aslen, Nelson, Andrew
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Agricultural practices Algorithms Band spectra Cereal crops Classification Coefficient of variation Corn Cropping patterns Cropping systems Crops DESIS hyperspectral satellite data Flowering Hyperspectral imaging Intercropping Pattern classification Pattern recognition Principal component analysis principal component analysis (PCA) Principal components analysis Radio frequency random forest (RF) classification Recall Reflectance Satellites Spatial resolution Spectral bands Spectral reflectance Sustainable agriculture Sustainable practices Waveforms
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