Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Bruce K. Wylie"'
Autor:
Markéta Poděbradská, Bruce K. Wylie, Michael J. Hayes, Deborah J. Bathke, Yared A. Bayissa, Stephen P. Boyte, Jesslyn F. Brown, Brian D. Wardlow
Publikováno v:
Ecosphere, Vol 14, Iss 5, Pp n/a-n/a (2023)
Abstract High interannual variability of forage production in semiarid grasslands leads to uncertainties when livestock producers make decisions, such as buying additional feed, relocating animals, or using flexible stocking. Within‐season predicti
Externí odkaz:
https://doaj.org/article/a748405560b748b4b2771696763b4f61
Autor:
Neal J. Pastick, Bruce K. Wylie, Matthew B. Rigge, Devendra Dahal, Stephen P. Boyte, Matthew O. Jones, Brady W. Allred, Sujan Parajuli, Zhuoting Wu
Publikováno v:
AGU Advances, Vol 2, Iss 2, Pp n/a-n/a (2021)
Abstract Exotic annual grasses (EAG) are one of the most damaging agents of change in western North America. Despite known socio‐environmental effects of EAG there remains a need to enhance monitoring capabilities for better informing conservation
Externí odkaz:
https://doaj.org/article/9fbcdd52f5494ca4a279aae0481e67c9
Publikováno v:
GIScience & Remote Sensing, Vol 56, Iss 3, Pp 406-429 (2019)
We performed an in-depth literature survey to identify the most popular data mining approaches that have been applied for raster mapping of ecological parameters through the use of Geographic Information Systems (GIS) and remotely sensed data. Popula
Externí odkaz:
https://doaj.org/article/7c16e86b33fd456cb54a7bd63a3e2985
Autor:
Markéta Poděbradská, Bruce K. Wylie, Deborah J. Bathke, Yared A. Bayissa, Devendra Dahal, Justin D. Derner, Philip A. Fay, Michael J. Hayes, Walter H. Schacht, Jerry D. Volesky, Pradeep Wagle, Brian D. Wardlow
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 4 (2021)
The ecosystem performance approach, used in a previously published case study focusing on the Nebraska Sandhills, proved to minimize impacts of non-climatic factors (e.g., overgrazing, fire, pests) on the remotely-sensed signal of seasonal vegetation
Externí odkaz:
https://doaj.org/article/f8fcb12e932f49589e76d96112287fab
Publikováno v:
GIScience & Remote Sensing, Vol 55, Iss 3, Pp 376-399 (2018)
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 Spectroradi
Externí odkaz:
https://doaj.org/article/d0da5ee1cd9c49fab95dfe363f4d48a7
Autor:
Neal J. Pastick, Devendra Dahal, Bruce K. Wylie, Sujan Parajuli, Stephen P. Boyte, Zhouting Wu
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 725 (2020)
Invasive annual grasses, such as cheatgrass (Bromus tectorum L.), have proliferated in dryland ecosystems of the western United States, promoting increased fire activity and reduced biodiversity that can be detrimental to socio-environmental systems.
Externí odkaz:
https://doaj.org/article/9d570dc6666b45818b47b6412be900d8
Autor:
Markéta Poděbradská, Bruce K. Wylie, Michael J. Hayes, Brian D. Wardlow, Deborah J. Bathke, Norman B. Bliss, Devendra Dahal
Publikováno v:
Remote Sensing, Vol 11, Iss 18, p 2106 (2019)
Land management practices and disturbances (e.g. overgrazing, fire) have substantial effects on grassland forage production. When using satellite remote sensing to monitor climate impacts, such as drought stress on annual forage production, minimizin
Externí odkaz:
https://doaj.org/article/b397c76a7f2c45e8aaf8c04b1a50ff73
Autor:
Yingxin Gu, Bruce K. Wylie
Publikováno v:
Remote Sensing, Vol 7, Iss 4, Pp 3489-3506 (2015)
The satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. The 250-m GSN data estimated from the Moderate Resolution Imaging Spectroradiometer (MODIS
Externí odkaz:
https://doaj.org/article/bcac70806f514449a9f8b455c1b267e3
Autor:
Bruce K. Wylie, Yingxin Gu
Publikováno v:
Remote Sensing, Vol 2, Iss 8, Pp 1880-1891 (2010)
This study identifies areas with ecosystem performance anomalies (EPA) within the Upper Colorado River Basin (UCRB) during 2005–2007 using satellite observations, climate data, and ecosystem models. The final EPA maps with 250-m spatial resolution
Externí odkaz:
https://doaj.org/article/4a8f935444f148cb88c923c7f770348c
Autor:
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua Picotte, Daniel M. Howard, Kelcy Smith, Kurtis J. Nelson
Publikováno v:
Remote Sensing, Vol 8, Iss 11, p 943 (2016)
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 devel
Externí odkaz:
https://doaj.org/article/3417c97c6d5f4fda83a262c5cefa681d