SEN2-AGRI – CROP TYPE MAPPING PILOT STUDY USING SENTINEL-2 SATELLITE IMAGERY IN INDIA

10 citations as recorded by crossref.

1. A Novel Agricultural Remote Sensing Drought Index (ARSDI) for high-resolution drought assessment in Africa using Sentinel and Landsat data N. Abdelrahim & S. Jin https://doi.org/10.1007/s10661-025-13686-3
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4. Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration M. Lillo-Saavedra et al. https://doi.org/10.3390/rs13112022
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7. A CNN-Transformer Hybrid Framework for Mapping Annual Wheat Fractional Cover From 2001-2023 Using MODIS Satellite Data Over Asia W. Li et al. https://doi.org/10.1109/JSTSP.2026.3660045
8. A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery K. Amankulova et al. https://doi.org/10.1109/JSTARS.2024.3402114
9. Crop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information M. Gumma et al. https://doi.org/10.1080/10106049.2020.1805029
10. Assessment of multi-date Sentinel-2 data for field-level monitoring of isabgol (Plantago ovata Forsk) cropping practices in India P. Hirapara et al. https://doi.org/10.1016/j.asr.2024.08.001