Constraining plant functional types in a semi-arid ecosystem with waveform lidar NT Ilangakoon, NF Glenn, H Dashti, TH Painter, TD Mikesell, LP Spaete, ... Remote Sensing of Environment 209, 497-509, 2018 | 18 | 2018 |
Reimagine fire science for the anthropocene JK Shuman, JK Balch, RT Barnes, PE Higuera, CI Roos, DW Schwilk, ... PNAS nexus 1 (3), pgac115, 2022 | 16 | 2022 |
Empirical methods for remote sensing of nitrogen in drylands may lead to unreliable interpretation of ecosystem function H Dashti, NF Glenn, S Ustin, JJ Mitchell, Y Qi, NT Ilangakoon, AN Flores, ... IEEE transactions on Geoscience and Remote Sensing 57 (6), 3993-4004, 2019 | 16 | 2019 |
Regional scale dryland vegetation classification with an integrated lidar-hyperspectral approach H Dashti, A Poley, N F. Glenn, N Ilangakoon, L Spaete, D Roberts, ... Remote Sensing 11 (18), 2141, 2019 | 13 | 2019 |
Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community RC Nagy, JK Balch, EK Bissell, ME Cattau, NF Glenn, BS Halpern, ... Ecosphere 12 (12), e03833, 2021 | 12 | 2021 |
Estimating leaf area index by bayesian linear regression using terrestrial Lidar, LAI-2200 plant canopy analyzer, and landsat tm spectral indices NT Ilangakoon, PV Gorsevski, A Simic Milas Canadian Journal of Remote Sensing 41 (4), 315-333, 2015 | 11 | 2015 |
Airborne and spaceborne lidar reveal trends and patterns of functional diversity in a semi-arid ecosystem N Ilangakoon, NF Glenn, FD Schneider, H Dashti, S Hancock, L Spaete, ... Frontiers in Remote Sensing 2, 743320, 2021 | 9 | 2021 |
Performance of the ecosystem demography model (EDv2. 2) in simulating gross primary production capacity and activity in a dryland study area H Dashti, K Pandit, NF Glenn, DJ Shinneman, GN Flerchinger, AT Hudak, ... Agricultural and Forest Meteorology 297, 108270, 2021 | 3 | 2021 |
2014 Lidar-Derived 1m Digital Elevation Model Data Set for Reynolds Creek Experimental Watershed, Southwestern Idaho N Ilangakoon, NF Glenn, LP Spaete, H Dashti, A Li | 3 | 2016 |
Ten simple rules for working with high resolution remote sensing data AL Mahood, MB Joseph, AI Spiers, MJ Koontz, N Ilangakoon, KK Solvik, ... Peer Community Journal 3, 2023 | 2 | 2023 |
Shrubland Species Cover, Biometric, Carbon and Nitrogen Data, Southern Idaho, 2014 NF Glenn, LP Spaete, R Shrestha, A Li, N Ilangakoon, J Mitchell, SL Ustin, ... ORNL DAAC, 2017 | 2 | 2017 |
Shrubland Species Cover, Biometric, Carbon and Nitrogen Data, Southern Idaho, 2014. ORNL DAAC, Oak Ridge, Tennessee, USA NF Glenn, LP Spaete, R Shrestha, A Li, N Ilangakoon, J Mitchell, SL Ustin, ... | 2 | 2017 |
Relationship between leaf area index (LAI) estimated by terrestrial LiDAR and remotely sensed vegetation indices as a proxy to forest carbon sequestration NT Ilangakoon Bowling Green State University, 2014 | 2 | 2014 |
Integrating Hyperspectral and LiDAR Data in the Study of Vegetation JJ Mitchell, NF Glenn, KM Dahlin, N Ilangakoon, H Dashti, MC Maloney Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for …, 2018 | 1 | 2018 |
Spatial patterns of vegetation biomass and soil organic carbon acquired from airborne lidar and hyperspectral imagery at Reynolds Creek Critical Zone Observatory RM Will, A Li, NF Glenn, SG Benner, L Spaete, NT Ilangakoon AGU Fall Meeting Abstracts 2015, B53C-0571, 2015 | 1 | 2015 |
Cyberinfrastructure deployments on public research clouds enable accessible Environmental Data Science education TL McIntosh, E Verleye, JK Balch, ME Cattau, NT Ilangakoon, N Korinek, ... Practice and Experience in Advanced Research Computing, 367-373, 2023 | | 2023 |
Postfire recovery of western US conifer forests (1984-2017) using space-borne lidar data NT Ilangakoon, JK Balch, RC Nagy, V Iglesias bioRxiv, 2023.02. 18.528502, 2023 | | 2023 |
Analyzing the Relationship of Forest Structural Diversity to Biotic Resistance to Invasion using NEON Data R Nagy, C Amaral, J Balch, NT Ilangakoon, M Kalantri, EA LaRue, ... AGU Fall Meeting Abstracts 2022, B26B-07, 2022 | | 2022 |
Western US forest vegetation recovery under compound disturbances N Ilangakoon, J Balch, M Cattau, R Nagy, C Wessman, EN Stavros, ... AGU Fall Meeting Abstracts 2021, B52B-05, 2021 | | 2021 |
Role of fire severity on forest resilience to wildfires: An integrated remote sensing approach NT Ilangakoon, J Balch, RC Nagy AGU Fall Meeting Abstracts 2020, B034-0011, 2020 | | 2020 |