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 | 30 | 2022 |
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 | 20 | 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 | 16 | 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), 1245-56, 2022 | 2 | 2022 |
Crop Residue Burning and its Impact on air Quality: A Case Study on Northern India S Kumar, A Nihar, A Verma, SS Ghosh, A Bhattacharya IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 1 | 2024 |
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 |