| Estimation of instantaneous evapotranspiration using remote sensing based energy balance technique over parts of North India T Sett, BR Nikam, S Nandy, A Danodia, R Bhattacharjee, V Dugesar The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 7 | 2018 |
| Estimation of evapotranspiration fluxes from Sal (Shorea robusta Gaertn.f) forest using METRIC model: case study of Doon Valley, India S Purohit, NR Patel, B Ramchandra Nikam, SP Aggarwal, T Sett, ... Geocarto International 37 (19), 5742-5764, 2022 | 2 | 2022 |
| Tree parameters retrieval and volume estimation using terrestrial laser scanner: A case study on Barkot forest R Bhattacharjee, S Nandy, T Sett, A Gupta MDPI AG, 2019 | 1 | 2019 |
| Spatio-temporal dynamics of water use efficiency over forest ecosystems using time series satellite data and carbon flux measurements T Sett, S Nandy, NR Patel, H Padalia, R Srinet, T Watham Forest Ecology and Management 548, 121385, 2023 | | 2023 |
| Quantifying the Human Induced Land Use Land Change Impacts on the Water Balance Components of Forested Watershed by Variable Infiltration Capacity Model T Sett, BR Nikam, V Sharma, V Shrivastava Authorea Preprints, 2023 | | 2023 |
| Contrasting Responses of Water Use Efficiency to Drought Stress across Two Different Forest Types of India T Sett, B Nikam Authorea Preprints, 2023 | | 2023 |
| Effect of Drought Stress on Forest Evapotranspiration-A case study on Indian forests T Sett, BR Nikam, H Singh, S Purohit EGU General Assembly Conference Abstracts, EGU22-510, 2022 | | 2022 |
| Spatio-Temporal Dynamics of Water Use Efficiency of Forest Ecosystem Using Time Series Satellite Data and Flux Measurements T Sett, S Nandy, NR Patel, H Padalia AGU Fall Meeting Abstracts 2020, B031-0013, 2020 | | 2020 |
| Seismic risk zonation using the geospatial tool: A case study over East and South district of Sikkim A Gupta, R Bhattacharjee, R Kachhap, T Sett MDPI AG, 2019 | | 2019 |
Saurabh PurohitResearch Scholar, Forest Research Institute/Indian Institute of Remote Sensing
