A survival guide to Landsat preprocessing NE Young, RS Anderson, SM Chignell, AG Vorster, R Lawrence, ... Ecology 98 (4), 920-932, 2017 | 483 | 2017 |
Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR AEL Stovall, AG Vorster, RS Anderson, PH Evangelista, HH Shugart Remote Sensing of Environment 200, 31-42, 2017 | 171 | 2017 |
Variability and uncertainty in forest biomass estimates from the tree to landscape scale: the role of allometric equations AG Vorster, PH Evangelista, AEL Stovall, S Ex Carbon Balance and Management 15, 1-20, 2020 | 99 | 2020 |
Severity of a mountain pine beetle outbreak across a range of stand conditions in Fraser Experimental Forest, Colorado, United States AG Vorster, PH Evangelista, TJ Stohlgren, S Kumar, CC Rhoades, ... Forest ecology and management 389, 116-126, 2017 | 27 | 2017 |
Co-Rip: A riparian vegetation and corridor extent dataset for Colorado river basin streams and rivers BD Woodward, PH Evangelista, NE Young, AG Vorster, AM West, ... ISPRS International Journal of Geo-Information 7 (10), 397, 2018 | 19 | 2018 |
Improved Remote Sensing Methods to Detect Northern Wild Rice (Zizania palustris L.) K O’Shea, J LaRoe, A Vorster, N Young, P Evangelista, T Mayer, D Carver, ... Remote Sensing 12 (18), 3023, 2020 | 10 | 2020 |
Mapping progression and severity of a Southern Colorado spruce beetle outbreak using calibrated image composites BD Woodward, PH Evangelista, AG Vorster Forests 9 (6), 336, 2018 | 10 | 2018 |
Developing nondestructive species‐specific tree allometry with terrestrial laser scanning AEL Stovall, A Vorster, R Anderson, P Evangelista Methods in Ecology and Evolution 14 (1), 280-290, 2023 | 9 | 2023 |
Predicting mean annual and mean monthly streamflow in Colorado ungauged basins A Eurich, SK Kampf, JC Hammond, M Ross, K Willi, AG Vorster, B Pulver River Research and Applications 37 (4), 569-578, 2021 | 9 | 2021 |
A model evaluation framework applied to the Forest Vegetation Simulator (FVS) in Colorado and Wyoming lodgepole pine forests BA Bagdon, TH Nguyen, A Vorster, K Paustian, JL Field Forest Ecology and Management 480, 118619, 2021 | 9 | 2021 |
Estimating aboveground tree biomass for beetle-killed lodgepole pine in the Rocky Mountains of northern Colorado W Chung, P Evangelista, N Anderson, A Vorster, H Han, K Poudel, ... Forest Science 63 (4), 413-419, 2017 | 8 | 2017 |
Forest harvest dataset for northern Colorado Rocky Mountains (1984–2015) generated from a Landsat time series and existing forest harvest records B Woodward, P Engelstad, A Vorster, C Beddow, S Krail, A Vashisht, ... Data in Brief 15, 724, 2017 | 7 | 2017 |
Anderson, r BD Woodward, PH Evangelista, NE Young, AG Vorster, AM West, ... Vahsen, ML, Vashisht, A., Mayer, T., Carver, D., and Jarnevitch, C, 2018 | 6 | 2018 |
Tamarisk and Russian olive occurrence and absence dataset collected in select tributaries of the Colorado River for 2017 AG Vorster, BD Woodward, AM West, NE Young, RG Sturtevant, TJ Mayer, ... Data 3 (4), 42, 2018 | 4 | 2018 |
Relating severity of a mountain pine beetle outbreak to forest management history A Vorster Colorado State University, 2014 | 2 | 2014 |
Metrics and Considerations for Evaluating How Forest Treatments Alter Wildfire Behavior and Effects AG Vorster, C Stevens-Rumann, N Young, B Woodward, CTH Choi, ... Journal of Forestry 122 (1), 13-30, 2024 | 1 | 2024 |
A Framework for Quantifying Climate Outcomes of Beetle-Killed Forest Biomass Utilization J Field, B Bagdon, T Nguyen, A Vorster, K Paustian Life Cycle Assessment XVIII Conference Proceedings (LCA), 15-27, 2018 | 1 | 2018 |
Mapping Forest Carbon Stocks to Understand Carbon Implications of Treatment on Wildfire for the Calwood Fire, Boulder County Colorado S Hettema, J Rogers, I Sugiura, E Twaddell, S Cunningham, A Vorster, ... AGU 2022 Fall Meeting, 2022 | | 2022 |
Mapping Forest Carbon Stocks to Understand Carbon Implications of Treatment on Wildfire for the Calwood Fire, Boulder County Colorado I Sugiura, E Twaddell, A Vorster, S Hettema, JA Rogers, B Buma, ... AGU Fall Meeting Abstracts 2022, B52J-0981, 2022 | | 2022 |
MODIS sensors can monitor spatiotemporal trends in fog and low cloud cover at 1 km spatial resolution along the US Pacific Coast Z Werner, CTH Choi, A Winter, AG Vorster, A Berger, K O'Shea, ... Remote Sensing Applications: Society and Environment 28, 100832, 2022 | | 2022 |