Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Brian Granneman"'
Autor:
Suming Jin, Jon Dewitz, Congcong Li, Daniel Sorenson, Zhe Zhu, Md Rakibul Islam Shogib, Patrick Danielson, Brian Granneman, Catherine Costello, Adam Case, Leila Gass
Publikováno v:
Journal of Remote Sensing, Vol 3 (2023)
The National Land Cover Database (NLCD) 2016 products show that, between 2001 and 2016, nearly half of the land cover change in the conterminous United States (CONUS) involved forested areas. To ensure the quality of NLCD land cover and land cover ch
Externí odkaz:
https://doaj.org/article/08185439e30d424dba9f1894021e0be4
Autor:
Suming Jin, Jon Dewitz, Patrick Danielson, Brian Granneman, Catherine Costello, Kelcy Smith, Zhe Zhu
Publikováno v:
Journal of Remote Sensing, Vol 3 (2023)
National Land Cover Database (NLCD) 2019 is a new epoch of national land cover products for the conterminous United States. Image quality is fundamental to the quality of any land cover product. Image preprocessing has often taken a considerable prop
Externí odkaz:
https://doaj.org/article/6bb5bceeb7484c958bf2654630520dbb
Publikováno v:
Ecosphere, Vol 10, Iss 6, Pp n/a-n/a (2019)
Abstract The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost‐effective and reliable method for
Externí odkaz:
https://doaj.org/article/c58a6755292e4e3da4116a4acb83d395
Autor:
Matthew Rigge, Collin Homer, Hua Shi, Debra Meyer, Brett Bunde, Brian Granneman, Kory Postma, Patrick Danielson, Adam Case, George Xian
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 813 (2021)
Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover and composition provides a wealth of information to improve management and sustainability. Remote sensing allows the evaluation of both abrupt and gradual
Externí odkaz:
https://doaj.org/article/9eea4685f8434f27bbb67445626dd709
Autor:
Limin Yang, Adam Case, Patrick Danielson, Stacie Bender, Collin G. Homer, Brian Granneman, Greg C. Liknes, Matthew B. Rigge, Catherine Costello, Suming Jin, Michelle Funk, Jon Dewitz, George Xian, Joyce Fry, Leila Gass
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 146:108-123
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially
Autor:
Kory Postma, Patrick Danielson, Hua Shi, Adam Case, Matthew B. Rigge, George Xian, Collin G. Homer, Brian Granneman, Debra K. Meyer, Brett Bunde
Publikováno v:
Remote Sensing; Volume 13; Issue 4; Pages: 813
Remote Sensing, Vol 13, Iss 813, p 813 (2021)
Remote Sensing, Vol 13, Iss 813, p 813 (2021)
Monitoring temporal dynamics of rangelands to detect and understand change in vegetation cover and composition provides a wealth of information to improve management and sustainability. Remote sensing allows the evaluation of both abrupt and gradual
Autor:
Daniel G. Sorenson, Jon Dewitz, James D. Wickham, Stephen V. Stehman, Leila Gass, Richard V. Poss, Lori Anne Baer, Brian Granneman
Publikováno v:
Remote Sensing of Environment. 191:328-341
Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. 2001, ca. 2006, and ca. 2011. The two mai
Publikováno v:
Ecosphere, Vol 10, Iss 6, Pp n/a-n/a (2019)
The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost‐effective and reliable method for monitori
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 86:136-149
Characterizing and quantifying distributions of shrubland ecosystem components is one of the major challenges for monitoring shrubland vegetation cover change across the United States. A new approach has been developed to quantify shrubland component
Autor:
Brian Granneman, Douglas Binnie, Andrew Fleming, Patricia Vornberger, Adrian J. Fox, Sara Jean Paulsen, Jerry L. Mullins, David Gorodetzky, Robert Bindschadler
Publikováno v:
Remote Sensing of Environment. 112:4214-4226
The Landsat Image Mosaic of Antarctica (LIMA) is the first true-color, high-spatial-resolution image of the seventh continent. It is constructed from nearly 1100 individually selected Landsat-7 ETM+ scenes. Each image was orthorectified and adjusted