Stephen Boyte (Former Employee)
Science and Products
Filter Total Items: 30
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022)
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding...
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022)
These datasets provide early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on July 1 using satellite observation data available until June 28th. In previous releases, we developed and released one general EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but also included number of other species, i.e., Bromus arvensis L., Bromus...
Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016-2024 (ver. 5.0, July 2025) Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016-2024 (ver. 5.0, July 2025)
This dataset provides annual (2016 - 2024) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass for rangelands of the western United States. The dataset includes four (five for 2023 and 2024) fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 15 EAG species. The following 15 species are included...
C6 Aqua 250-m eMODIS Remote Sensing Phenology Metrics across the conterminous U.S. C6 Aqua 250-m eMODIS Remote Sensing Phenology Metrics across the conterminous U.S.
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational...
Conterminous United States Remote Sensing Phenology Metrics Database Conterminous United States Remote Sensing Phenology Metrics Database
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational...
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1
This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L...
Filter Total Items: 24
Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA
Data fused from distinct but complementary satellite sensors mitigate tradeoffs that researchers make when selecting between spatial and temporal resolutions of remotely sensed data. We integrated data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra satellite and the Operational Land Imager sensor aboard the Landsat 8 satellite into four regression...
Authors
Stephen P. Boyte, Bruce K. Wylie, Matthew B. Rigge, Devendra Dahal
Estimating carbon and showing impacts of drought using satellite data in regression-tree models Estimating carbon and showing impacts of drought using satellite data in regression-tree models
Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, allowing a better understanding of broad-scale ecosystem processes. The current study presents annual gross primary production (GPP) and annual ecosystem respiration (RE) for 2000–2013 in several short-statured
Authors
Stephen P. Boyte, Bruce K. Wylie, Danny Howard, Devendra Dahal, Tagir G. Gilmanov
An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data
Regression tree models have been widely used for remote sensing-based ecosystem mapping. Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model. The goal of this study is to develop an optimal sampling data usage strategy for any dataset and identify an appropriate number of rules in the regression tree model that...
Authors
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua J. Picotte, Danny Howard, Kelcy Smith, Kurtis Nelson
Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015 Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015
Cheatgrass (Bromus tectorum L.) dramatically changes shrub steppe ecosystems in the Northern Great Basin, United States. Current-season cheatgrass location and percent cover are difficult to estimate rapidly. We explain the development of a near-real-time cheatgrass percent cover dataset and map in the Northern Great Basin for the current year (2015), display the current year’s map...
Authors
Stephen P. Boyte, Bruce K. Wylie
Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin
Cheatgrass (Bromus tectorum L.) is a highly invasive species in the Northern Great Basin that helps decrease fire return intervals. Fire fragments the shrub steppe and reduces its capacity to provide forage for livestock and wildlife and habitat critical to sagebrush obligates. Of particular interest is the greater sage grouse (Centrocercus urophasianus), an obligate whose populations...
Authors
Stephen P. Boyte, Bruce K. Wylie, Donald J. Major
The integrated rangeland fire management strategy actionable science plan The integrated rangeland fire management strategy actionable science plan
The Integrated Rangeland Fire Management Strategy (hereafter Strategy, DOI 2015) outlined the need for coordinated, science-based adaptive management to achieve long-term protection, conservation, and restoration of the sagebrush (Artemisia spp.) ecosystem. A key component of this management approach is the identification of knowledge gaps that limit implementation of effective...
Authors
Cameron L. Aldridge, Ken Berg, Chad S. Boyd, Stephen P. Boyte, John B. Bradford, Ed Brunson, John H. Cissel, Courtney J. Conway, Anna D. Chalfoun, Jeanne C. Chambers, Patrick Clark, Peter S. Coates, Michele R. Crist, Dawn M. Davis, Nicole DeCrappeo, Patricia A. Deibert, Kevin E. Doherty, Louisa B. Evers, Deborah M. Finch, Sean P. Finn, Matthew J. Germino, Nancy F. Glenn, Corey Gucker, John A. Hall, Steven E. Hanser, Douglas W. Havlina, Julie A. Heinrichs, Matt Heller, Collin G. Homer, Molly E. Hunter, Ruth W. Jacobs, Jason W. Karl, Richard Kearney, Susan K Kemp, Francis F. Kilkenny, Steven T. Knick, Karen Launchbaugh, Daniel J. Manier, Kenneth E. Mayer, Susan E. Meyer, Adrian P. Monroe, Eugenie MontBlanc, Beth A. Newingham, Michael L. Pellant, Susan L. Phillips, David S. Pilliod, Mark A. Ricca, Bryce A. Richardson, Jeffrey A. Rose, Nancy Shaw, Roger L. Sheley, Douglas J. Shinneman, Lief A. Wiechman, Bruce K. Wylie
Science and Products
Filter Total Items: 30
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022)
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding...
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022)
These datasets provide early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on July 1 using satellite observation data available until June 28th. In previous releases, we developed and released one general EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but also included number of other species, i.e., Bromus arvensis L., Bromus...
Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016-2024 (ver. 5.0, July 2025) Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016-2024 (ver. 5.0, July 2025)
This dataset provides annual (2016 - 2024) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass for rangelands of the western United States. The dataset includes four (five for 2023 and 2024) fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 15 EAG species. The following 15 species are included...
C6 Aqua 250-m eMODIS Remote Sensing Phenology Metrics across the conterminous U.S. C6 Aqua 250-m eMODIS Remote Sensing Phenology Metrics across the conterminous U.S.
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational...
Conterminous United States Remote Sensing Phenology Metrics Database Conterminous United States Remote Sensing Phenology Metrics Database
Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. Researchers at the U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center have developed methods for documenting the seasonal dynamics of vegetation in an operational...
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1
This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L...
Filter Total Items: 24
Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA
Data fused from distinct but complementary satellite sensors mitigate tradeoffs that researchers make when selecting between spatial and temporal resolutions of remotely sensed data. We integrated data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra satellite and the Operational Land Imager sensor aboard the Landsat 8 satellite into four regression...
Authors
Stephen P. Boyte, Bruce K. Wylie, Matthew B. Rigge, Devendra Dahal
Estimating carbon and showing impacts of drought using satellite data in regression-tree models Estimating carbon and showing impacts of drought using satellite data in regression-tree models
Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large geographic spaces, allowing a better understanding of broad-scale ecosystem processes. The current study presents annual gross primary production (GPP) and annual ecosystem respiration (RE) for 2000–2013 in several short-statured
Authors
Stephen P. Boyte, Bruce K. Wylie, Danny Howard, Devendra Dahal, Tagir G. Gilmanov
An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data
Regression tree models have been widely used for remote sensing-based ecosystem mapping. Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model. The goal of this study is to develop an optimal sampling data usage strategy for any dataset and identify an appropriate number of rules in the regression tree model that...
Authors
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua J. Picotte, Danny Howard, Kelcy Smith, Kurtis Nelson
Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015 Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015
Cheatgrass (Bromus tectorum L.) dramatically changes shrub steppe ecosystems in the Northern Great Basin, United States. Current-season cheatgrass location and percent cover are difficult to estimate rapidly. We explain the development of a near-real-time cheatgrass percent cover dataset and map in the Northern Great Basin for the current year (2015), display the current year’s map...
Authors
Stephen P. Boyte, Bruce K. Wylie
Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin Cheatgrass percent cover change: Comparing recent estimates to climate change − Driven predictions in the Northern Great Basin
Cheatgrass (Bromus tectorum L.) is a highly invasive species in the Northern Great Basin that helps decrease fire return intervals. Fire fragments the shrub steppe and reduces its capacity to provide forage for livestock and wildlife and habitat critical to sagebrush obligates. Of particular interest is the greater sage grouse (Centrocercus urophasianus), an obligate whose populations...
Authors
Stephen P. Boyte, Bruce K. Wylie, Donald J. Major
The integrated rangeland fire management strategy actionable science plan The integrated rangeland fire management strategy actionable science plan
The Integrated Rangeland Fire Management Strategy (hereafter Strategy, DOI 2015) outlined the need for coordinated, science-based adaptive management to achieve long-term protection, conservation, and restoration of the sagebrush (Artemisia spp.) ecosystem. A key component of this management approach is the identification of knowledge gaps that limit implementation of effective...
Authors
Cameron L. Aldridge, Ken Berg, Chad S. Boyd, Stephen P. Boyte, John B. Bradford, Ed Brunson, John H. Cissel, Courtney J. Conway, Anna D. Chalfoun, Jeanne C. Chambers, Patrick Clark, Peter S. Coates, Michele R. Crist, Dawn M. Davis, Nicole DeCrappeo, Patricia A. Deibert, Kevin E. Doherty, Louisa B. Evers, Deborah M. Finch, Sean P. Finn, Matthew J. Germino, Nancy F. Glenn, Corey Gucker, John A. Hall, Steven E. Hanser, Douglas W. Havlina, Julie A. Heinrichs, Matt Heller, Collin G. Homer, Molly E. Hunter, Ruth W. Jacobs, Jason W. Karl, Richard Kearney, Susan K Kemp, Francis F. Kilkenny, Steven T. Knick, Karen Launchbaugh, Daniel J. Manier, Kenneth E. Mayer, Susan E. Meyer, Adrian P. Monroe, Eugenie MontBlanc, Beth A. Newingham, Michael L. Pellant, Susan L. Phillips, David S. Pilliod, Mark A. Ricca, Bryce A. Richardson, Jeffrey A. Rose, Nancy Shaw, Roger L. Sheley, Douglas J. Shinneman, Lief A. Wiechman, Bruce K. Wylie