A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest AJ Prakash, MD Behera, SM Ghosh, A Das, DR Mishra Ecological Informatics 72, 101900, 2022 | 18 | 2022 |
Assessment of tropical cyclone amphan affected inundation areas using sentinel-1 satellite data MD Behera, J Prakash, S Paramanik, S Mudi, J Dash, R Varghese, ... Tropical Ecology, 1-11, 2022 | 12 | 2022 |
Flood hazard mapping in Assam using Sentinel-1 SAR data S Mudi, P Das Geospatial Technology for Environmental Hazards: Modeling and Management in …, 2022 | 10 | 2022 |
Predicting the forest canopy height from LiDAR and multi-sensor data using machine learning over India SM Ghosh, MD Behera, S Kumar, P Das, AJ Prakash, PK Bhaskaran, ... Remote Sensing 14 (23), 5968, 2022 | 8 | 2022 |
Impact of extreme weather events on cropland inundation over Indian subcontinent AJ Prakash, S Kumar, MD Behera, P Das, A Kumar, PK Srivastava Environmental Monitoring and Assessment 195 (1), 50, 2023 | 6 | 2023 |
Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning RK Singh, CM Biradar, MD Behera, AJ Prakash, P Das, MR Mohanta, ... Ecological Informatics 79, 102408, 2024 | 5 | 2024 |
Moderate resolution LAI prediction using Sentinel-2 satellite data and indirect field measurements in Sikkim Himalaya S Mudi, S Paramanik, MD Behera, AJ Prakash, NR Deep, MP Kale, ... Environmental Monitoring and Assessment 194 (12), 897, 2022 | 4 | 2022 |
Overview of geospatial technologies for land and water resources management A Pandey, G Singh, VM Chowdary, MD Behera, AJ Prakash, VP Singh Geospatial Technologies for Land and Water Resources Management, 1-16, 2022 | 4 | 2022 |
Recent rise in wildfires in community forests and other natural vegetation: geospatial basis. S Mudi, MD Behera, S Paramanik, A PRAKASH, BK Prusty Current Science (00113891) 127 (7), 2021 | 4 | 2021 |
Dominant expression of SAR backscatter in predicting aboveground biomass: Integrating multi-sensor data and machine learning in Sikkim Himalaya AJ Prakash, S Mudi, S Paramanik, MD Behera, S Shekhar, N Sharma, ... Journal of the Indian Society of Remote Sensing, 1-13, 2024 | 3 | 2024 |
Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques AJ Prakash, S Begam, V Vilímek, S Mudi, P Das Geoenvironmental Disasters 11 (1), 14, 2024 | 1 | 2024 |
Estimating Above-ground Biomass of Sal and Teak Forests Using TerraSAR-X and a Semi-Empirical Model in a Dense Tropical Forest SR NNV, MD Behera, SK Behera, AJ Prakash Handbook of Himalayan Ecosystems and Sustainability, Volume 1, 143-161, 2022 | | 2022 |
Harvesting Synergy: Incorporating fuel flammability to estimate Forest fire susceptibility using Machine Learning and earth observation data S Behera, P Shome, AJ Prakash, S Mudi, MD Behera, BK Prusty, MP Kale, ... AGU23, 0 | | |
Do Tropical Moist Deciduous forests fix more Carbon owing to weak Phenophases in synergy with available soil moisture? AJ Prakash, MD Behera, CP Singh, J Chockalingam, B Singh AGU23, 0 | | |