Sugarcane crop type discrimination and area mapping at field scale using sentinel images and machine learning methods A Nihar, NR Patel, S Pokhariyal, A Danodia Journal of the Indian Society of Remote Sensing, 1-9, 2022 | 19 | 2022 |
Machine-learning-based regional yield forecasting for sugarcane crop in Uttar Pradesh, India A Nihar, NR Patel, A Danodia Journal of the Indian Society of Remote Sensing 50 (8), 1519-1530, 2022 | 17 | 2022 |
Estimation of cotton and maize crop area in Perambalur district of Tamil Nadu using multi-date sentinel-1A SAR data M Ashmitha Nihar, J Mohammed Ahamed, S Pazhanivelan, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 13 | 2019 |
Generating Soil Parent Material Environmental Covariates Using Sentinel–2A Images for Delineating Soil Attributes MN Raj, R Kumaraperumal, S Pazhanivelan, D Muthumanickam, ... International Journal of Environment and Climate Change 12 (10), 1245-1256, 2022 | 2 | 2022 |
Satellite-Based Light Use Efficiency Model for Sugarcane Yield Estimation at Field Scale A Nihar, NR Patel, R Singh, A Danodia Journal of the Indian Society of Remote Sensing 51 (6), 1357-1369, 2023 | 1 | 2023 |