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

8 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.
2. Investigating sensitivity to extreme weather of a mid-size global south city: an integrated MCDA (AHP)-GIS based modeling approach N. Ankhi & A. Khan
3. 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.
4. Identification of Suitable Machine Learning Classifier for In-Season Crop Mapping in the Absence of Concurrent Ground Truth Data S. Mallya et al.
5. Comparative analysis of different supervised methods for satellite-based land-use classification: A case study of Reyhanlı M. Özbuldu & Y. Şekerli
6. A hybrid UNet based approach for crop classification using Sentinel-1B synthetic aperture radar images S. Kaur & S. Madaan
7. Accuracy Assessment of different classifiers for Sustainable Development in Landuse and Landcover mapping using Sentinel SAR and Landsat-8 data K. Kanmani et al.
8. Transformation of Multispectral Data to Quasi-Hyperspectral Data Using Convolutional Neural Network Regression S. Paul & D. Nagesh Kumar