CropNet, a lightweight CNN jointly convolving spectral and temporal dimensions, learns invariant crop signatures from multispectral time series and outperforms larger models under geographic domain shifts on the new CropGlobe benchmark spanning eight countries.
Long-short-term-memory-based crop classifi- cation using high-resolution optical images and multi-temporal sar data,
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Invariant Features for Global Crop Type Classification
CropNet, a lightweight CNN jointly convolving spectral and temporal dimensions, learns invariant crop signatures from multispectral time series and outperforms larger models under geographic domain shifts on the new CropGlobe benchmark spanning eight countries.