| The process-based forest growth model 3-PG for use in forest management: A review R Gupta, LK Sharma Ecological Modelling 397, 55-73, 2019 | 95 | 2019 |
| Efficacy of Spatial Land Change Modeler as a forecasting indicator for anthropogenic change dynamics over five decades: A case study of Shoolpaneshwar Wildlife Sanctuary … R Gupta, LK Sharma Ecological Indicators 112, 106171, 2020 | 87 | 2020 |
| Assessing the predictive efficacy of six machine learning algorithms for the susceptibility of Indian forests to fire LK Sharma, R Gupta, N Fatima International journal of wildland fire 31 (8), 735-758, 2022 | 33 | 2022 |
| Future aspects and potential of the remote sensing technology to meet the natural resource needs LK Sharma, R Gupta, PC Pandey Advances in remote sensing for natural resource monitoring, 445-464, 2021 | 29 | 2021 |
| Mixed tropical forests canopy height mapping from spaceborne LiDAR GEDI and multisensor imagery using machine learning models R Gupta, LK Sharma Remote Sensing Applications: Society and Environment 27, 100817, 2022 | 27 | 2022 |
| Modelling the growth response to climate change and management of Tectona grandis L. f. using the 3-PGmix model R Gupta, L Sharma Annals of Forest Science 78, 1-17, 2021 | 5 | 2021 |
| Predicting habitat suitability of Litsea glutinosa: a declining tree species, under the current and future climate change scenarios in India R Gupta, LK Sharma, M Rajkumar, N Mohammad, ML Khan Landscape and Ecological Engineering 19 (2), 211-225, 2023 | 4 | 2023 |
| Efficacy of Advanced Remote Sensing (Hyperspectral and LIDAR) in Enhancing Forest Resources Management L Shrama, R Gupta, RK Verma Research Anthology on Ecosystem Conservation and Preserving Biodiversity …, 2022 | 4 | 2022 |
| Aboveground biomass prediction by fusing gedi footprints with optical and SAR data using the random forest in the mixed tropical forest, India R Gupta, LK Sharma IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
| Potential of Remote Sensing for Improved Understanding of Aquatic Chlorophyll, Biomass and Primary Productivity Estimation R Gupta, LK Sharma, SK Patidar, A Raj, R Naik Diva Enterprises Pvt. Ltd. 11 (1), 61-75, 2022 | 1 | 2022 |
| Seamless Landsat-7 and Landsat-8 data composites covering all Amazonia R Gupta, G Zuquim, H Tuomisto Data in Brief 57, 111034, 2024 | | 2024 |
| Detection of Deforestation Using Prisma Hyperspectral and Deep Learning (1DCNN) in the Amazon Forest R Gupta, K Ruokolainen, H Tuomisto IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
| Using Landsat composites to document temporal change within Amazonian forest vegetation R Gupta, K Ruokolainen, H Tuomisto EGU24, 2024 | | 2024 |
| Spatio-Temporal Dynamics of Tropical Deciduous Forests under Climate Change Scenarios in India R Gupta, LK Sharma Advances in Scalable and Intelligent Geospatial Analytics, 359-371, 2023 | | 2023 |
| Mapping Canopy Height from ICESat-2 and Landsat-9 using Machine Learning in the Himalayan Corbett Tiger Reserve, India R Gupta, LK Sharma 2023 International Conference on Machine Intelligence for GeoAnalytics and …, 2023 | | 2023 |
| Machine learning Based Forest Canopy Height Mapping Using Combined LiDAR, SAR and Optical Data R Gupta, LK Sharma AGU Fall Meeting Abstracts 2022, B22G-1530, 2022 | | 2022 |
| Testing the Predictive Efficacy of Six Machine Learning Algorithms for Indian Forests' Fire Risk LK Sharma, R Gupta, N Fatima AGU Fall Meeting Abstracts 2022, A15M-1419, 2022 | | 2022 |
| Progression of hyperspectral remote sensing for estimation of forest health to comply with SDGs LK Sharma, R Gupta FAO;, 0 | | |