Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Heather J Tollerud"'
Publikováno v:
Environmental Research Letters, Vol 18, Iss 2, p 024007 (2023)
The U.S. State of California has experienced frequent drought events, hotter temperatures and other disruptions to the climate system whose effects on ecosystems have been widely reported in recent decades. Studies primarily confined to specific vege
Externí odkaz:
https://doaj.org/article/fc324c4a4b09417991cae66166387ce4
Publikováno v:
Frontiers in Climate, Vol 3 (2021)
California has, in recent years, become a hotspot of interannual climatic variability, recording devastating climate-related disturbances with severe effects on tree resources. Understanding the patterns of tree cover change associated with these eve
Externí odkaz:
https://doaj.org/article/2c4d94ad92dd4d268db147fdd736897f
Autor:
Roger F. Auch, Danika F. Wellington, Janis L. Taylor, Stephen V. Stehman, Heather J. Tollerud, Jesslyn F. Brown, Thomas R. Loveland, Bruce W. Pengra, Josephine A. Horton, Zhe Zhu, Alemayehu A. Midekisa, Kristi L. Sayler, George Xian, Christopher P. Barber, Ryan R. Reker
Publikováno v:
Land, Vol 11, Iss 2, p 298 (2022)
Sample-based estimates augmented by complete coverage land-cover maps were used to estimate area and describe patterns of annual land-cover change across the conterminous United States (CONUS) between 1985 and 2016. Most of the CONUS land cover remai
Externí odkaz:
https://doaj.org/article/6cf24c92bc0d4a648fdb57f4e2279cb6
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1919 (2020)
To better understand the Earth system, it is important to investigate the interactions between precipitation, land use/land cover (LULC), and the land surface, especially vegetation. An improved understanding of these land-atmosphere interactions can
Externí odkaz:
https://doaj.org/article/912e182644cb4b41904baf8023cc0ba6
Autor:
Heather J. Tollerud, Zhe Zhu, Kelcy Smith, Danika F. Wellington, Reza A. Hussain, Donna Viola
Publikováno v:
Remote Sensing of Environment. 285:113372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c83a9174d422d3d769a206fedb320480
https://doi.org/10.1016/j.rse.2022.113372
https://doi.org/10.1016/j.rse.2022.113372
Publikováno v:
Remote Sensing
Volume 12
Issue 12
Pages: 1919
Remote Sensing, Vol 12, Iss 1919, p 1919 (2020)
Volume 12
Issue 12
Pages: 1919
Remote Sensing, Vol 12, Iss 1919, p 1919 (2020)
To better understand the Earth system, it is important to investigate the interactions between precipitation, land use/land cover (LULC), and the land surface, especially vegetation. An improved understanding of these land-atmosphere interactions can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52c3327a03f6da0e3266b793394c4879
Autor:
Roger F. Auch, Terry L. Sohl, Jesslyn F. Brown, Kristi L. Sayler, Jennifer Rover, George Xian, Heather J. Tollerud
Publikováno v:
Fact Sheet.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea45375269a1911eb5f1af57b2d576ce
https://doi.org/10.3133/fs20203024
https://doi.org/10.3133/fs20203024
Publikováno v:
Earth Interactions. 22:1-25
Land–atmosphere interactions play a critical role in the Earth system, and a better understanding of these interactions could improve weather and climate models. The interaction among drought, vegetation productivity, and land cover is of particula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b12fc610ac89010b90c07bc93b5f8ad
https://doi.org/10.1175/ei-d-17-0025.1
https://doi.org/10.1175/ei-d-17-0025.1
Publikováno v:
Remote Sensing; Volume 12; Issue 4; Pages: 699
Remote Sensing, Vol 12, Iss 4, p 699 (2020)
Remote Sensing, Vol 12, Iss 4, p 699 (2020)
The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative involves detecting changes in land cover, use, and condition with the goal of producing land change information to improve the understanding of the E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de79782999318f47bec0f196a0f5716f
https://doi.org/10.3390/rs12040699
https://doi.org/10.3390/rs12040699
Autor:
Mikael P. Hiestand, Heather J. Tollerud, Chris Funk, Gabriel B. Senay, Kate C. Fickas, MacKenzie O. Friedrichs
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1297 (2024)
The operational Simplified Surface Energy Balance (SSEBop) model has been utilized to generate gridded evapotranspiration data from Landsat images. These estimates are primarily driven by two sources of information: reference evapotranspiration and L
Externí odkaz:
https://doaj.org/article/335ba47cc6b64c31a1854d1a783abe48