COMPARISON OF LANDSAT-8 AND SENTINEL-2 DATA FOR CLASSIFICATION OF RABI CROPS OVER KARNATAKA, INDIA

5 citations as recorded by crossref.

1. Remote sensing satellite data and spectral indices: an initial evaluation for the sustainable development of an urban area A. Prasad et al. 10.1007/s40899-022-00607-2
2. Monitoring Oasis Cotton Fields Expansion in Arid Zones Using the Google Earth Engine: A Case Study in the Ogan-Kucha River Oasis, Xinjiang, China L. Han et al. 10.3390/rs14010225
3. A hybrid UNet based approach for crop classification using Sentinel-1B synthetic aperture radar images S. Kaur & S. Madaan 10.1007/s11042-024-18849-x
4. Accuracy Assessment of different classifiers for Sustainable Development in Landuse and Landcover mapping using Sentinel SAR and Landsat-8 data K. Kanmani et al. 10.4108/ew.4141
5. Transformation of Multispectral Data to Quasi-Hyperspectral Data Using Convolutional Neural Network Regression S. Paul & D. Nagesh Kumar 10.1109/TGRS.2020.3009290