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Anthony Vorster
Anthony Vorster
Research Scientist, Colorado State University
在 colostate.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A survival guide to Landsat preprocessing
NE Young, RS Anderson, SM Chignell, AG Vorster, R Lawrence, ...
Ecology 98 (4), 920-932, 2017
4832017
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
1712017
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
992020
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
272017
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
192018
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
102020
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
102018
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
92023
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
92021
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
92021
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
82017
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
72017
Anderson, r
BD Woodward, PH Evangelista, NE Young, AG Vorster, AM West, ...
Vahsen, ML, Vashisht, A., Mayer, T., Carver, D., and Jarnevitch, C, 2018
62018
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
42018
Relating severity of a mountain pine beetle outbreak to forest management history
A Vorster
Colorado State University, 2014
22014
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
12024
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
12018
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
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