| Mapping crops within the growing season across the United States VS Konduri, J Kumar, WW Hargrove, FM Hoffman, AR Ganguly Remote Sensing of Environment 251, 112048, 2020 | 53 | 2020 |
| Data science for weather impacts on crop yield VS Konduri, TJ Vandal, S Ganguly, AR Ganguly Frontiers in Sustainable Food Systems 4, 52, 2020 | 47 | 2020 |
| Hyperspectral remote sensing based vegetation communities around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2019 [Dataset] S Konduri, J Kumar Next Generation Ecosystem Experiments Arctic Data Collection, Oak Ridge …, 2021 | 5 | 2021 |
| Tracking changes in vegetation structure following fire in the Cerrado biome using ICESat‐2 VS Konduri, DC Morton, N Andela Journal of Geophysical Research: Biogeosciences 128 (5), e2022JG007046, 2023 | 2 | 2023 |
| Hyperspectral remote sensing-based plant community map for region around NGEE-Arctic intensive research watersheds at Seward Peninsula, Alaska, 2017-2019 V Konduri, A Breen, W Hargrove, F Hoffman, V Salmon, C Iversen, ... Next-Generation Ecosystem Experiments (NGEE) Arctic Project, Oak Ridge …, 2022 | 1 | 2022 |
| Corrigendum: Data Science for Weather Impacts on Crop Yield VS Konduri, TJ Vandal, S Ganguly, AR Ganguly Frontiers in Sustainable Food Systems 4, 569645, 2020 | 1 | 2020 |
| Leveraging NEON Airborne Remote Sensing Data for High-Resolution Mapping of Soil Organic Carbon D Sihi, Z Wang, VS Konduri, J Kumar, SR Weintraub-Leff AGU23, 2023 | | 2023 |
| Tracking the Response and Recovery of Vegetation Structure Following Fire in the Cerrado Biome using Spaceborne Lidar VS Konduri, DC Morton, N Andela AGU Fall Meeting Abstracts 2022, B55B-04, 2022 | | 2022 |
| Tracking Changes in Vegetation Structure Following Fire in the Cerrado Biome using ICESat-2 VS Konduri, D Morton, N Andela Authorea Preprints, 2022 | | 2022 |
| Current and Projected Future Distribution of Plant Community Types for the Southern Seward Peninsula, Alaska V Konduri, A Breen, W Hargrove, F Hoffman, V Salmon, C Iversen, ... Next-Generation Ecosystem Experiments (NGEE) Arctic Project, Oak Ridge …, 2022 | | 2022 |
| Understanding the Distribution of Vegetation and its Environmental Drivers using Machine Learning Methods VS Konduri Northeastern University, 2021 | | 2021 |
| Understanding the Patterns and Drivers of Arctic Tundra Plant Communities VS Konduri, J Kumar, FM Hoffman, VG Salmon, CM Iversen, AL Breen, ... AGU Fall Meeting Abstracts 2020, B102-07, 2020 | | 2020 |
| In-Season Crop Mapping for the Continental United States VS Konduri, J Kumar, W Hargrove, FM Hoffman, AR Ganguly 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Exploiting Artificial Intelligence for Advancing Earth and Environmental System Science FM Hoffman, J Kumar, ZL Langford, VS Konduri, N Collier AGU Fall Meeting 2019, 2019 | | 2019 |
| Mapping Arctic Vegetation using Hyperspectral Airborne Remote Sensing Data VS Konduri, J Kumar, FM Hoffman, WW Hargrove AGU Fall Meeting Abstracts 2019, B12D-05, 2019 | | 2019 |
| Using the Concept of Ecoregions for Large Area Crop Mapping VS Konduri, J Kumar, WW Hargrove, FM Hoffman, A Ganguly | | 2019 |
| Early season mapping of Corn and Soybeans in the US Midwest VS Konduri, J Kumar, WW Hargrove, FM Hoffman, AR Ganguly AGU Fall Meeting Abstracts 2018, B51H-2026, 2018 | | 2018 |
| Spatiotemporal Analysis of Corn Phenoregions in the Continental United States VS Konduri, J Kumar, FM Hoffman, AR Ganguly, WW Hargrove AGU Fall Meeting Abstracts 2017, B34C-07, 2017 | | 2017 |
| Initializing ELM-FATES, a process-based vegetation model, with forest structure and composition estimated from airborne remote sensing A Spiers, ST Ngo, G Pastorello, P Boutte, FD Schneider, VS Konduri, ... AGU23, 0 | | |
| Generating Plant Foliar Trait Products Using High-Resolution NEON Remote Sensing Data VS Konduri, T Goulden, SR Weintraub-Leff AGU23, 0 | | |
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, BostonVerified email at northeastern.edu
