Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Mark L. Carroll"'
Autor:
Paul M. Montesano, Matthew J. Macander, Jordan Alexis Caraballo-Vega, Melanie J. Frost, Christopher S. R. Neigh, Gerald V. Frost, Glenn S. Tamkin, Mark L. Carroll
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16526-16534 (2024)
Scientific analysis of Earth's land surface change benefits from well-characterized multispectral remotely sensed data for which models estimate and remove the effects of the atmosphere and sun-sensor geometry. Top-of-atmosphere (TOA) reflectance in
Externí odkaz:
https://doaj.org/article/594dc37b0a89445a9ad33d5f773df31f
Publikováno v:
Journal of Field Ornithology, Vol 95, Iss 1, p 9 (2024)
Conservation status assessments for Cassin’s Sparrow ( Peucaea cassinii ) show considerable variability across the species’ North American range. In this study, we combine data from NASA’s Modern-Era Reanalysis for Research and Applications, Ve
Externí odkaz:
https://doaj.org/article/604fbb8b517247deaa76e79ef464f941
Autor:
Andrew L. Mullen, Jennifer D. Watts, Brendan M. Rogers, Mark L. Carroll, Clayton D. Elder, Jonas Noomah, Zachary Williams, Jordan A. Caraballo‐Vega, Allison Bredder, Eliza Rickenbaugh, Eric Levenson, Sarah W. Cooley, Jacqueline K. Y. Hung, Greg Fiske, Stefano Potter, Yili Yang, Charles E. Miller, Susan M. Natali, Thomas A. Douglas, Ethan D. Kyzivat
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 7, Pp n/a-n/a (2023)
Abstract Small water bodies (i.e., ponds; 0.01 km2). We leverage high‐resolution (3 m) optical satellite imagery from Planet Labs and deep learning methods to map seasonal changes in pond and lake areal extent across four regions in Alaska. Our wat
Externí odkaz:
https://doaj.org/article/1a83c4d24c3c454b943d16cf5aa01d91
Autor:
John L. Schnase, Mark L. Carroll
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
MERRA/Max provides a feature selection approach to dimensionality reduction that enables direct use of global climate model outputs in ecological niche modeling. The system accomplishes this reduction through a Monte Carlo optimization in which many
Externí odkaz:
https://doaj.org/article/7811d98fa00d4458aeef34fcc78d81ab
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3459 (2020)
The increasing availability of very-high resolution (VHR;
Externí odkaz:
https://doaj.org/article/8cfa0cbba0464f9dab91eae761744e00
Autor:
Wenli Huang, Ben DeVries, Chengquan Huang, Megan W. Lang, John W. Jones, Irena F. Creed, Mark L. Carroll
Publikováno v:
Remote Sensing, Vol 10, Iss 5, p 797 (2018)
Accurately quantifying surface water extent in wetlands is critical to understanding their role in ecosystem processes. However, current regional- to global-scale surface water products lack the spatial or temporal resolution necessary to characteriz
Externí odkaz:
https://doaj.org/article/a168538ad7414a5a8ee81b033b1bb071
Autor:
Ben DeVries, Chengquan Huang, Megan W. Lang, John W. Jones, Wenli Huang, Irena F. Creed, Mark L. Carroll
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 807 (2017)
We present a fully automated and scalable algorithm for quantifying surface water inundation in wetlands. Requiring no external training data, our algorithm estimates sub-pixel water fraction (SWF) over large areas and long time periods using Landsat
Externí odkaz:
https://doaj.org/article/95ac6640b24141f0920de7ed590efa46
Autor:
Jordan A. Caraballo-Vega, Noah S. Oller Smith, Mark L. Carroll, Laura Carriere, John E. Jasen, Minh T. Le, Jian Li, Kenneth Peck, Savannah L. Strong, Glenn S. Tamkin, Matthew A. Thompson, John H. Thompson
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dea1bc7e17d3642ad9d7183838539f1a
https://doi.org/10.1109/igarss46834.2022.9883436
https://doi.org/10.1109/igarss46834.2022.9883436
Autor:
John L. Schnase, Mark L. Carroll
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
PLoS ONE, Vol 17, Iss 1, p e0257502 (2022)
PLoS ONE
PLoS ONE, Vol 17, Iss 1, p e0257502 (2022)
PLoS ONE
MERRA/Max provides a feature selection approach to dimensionality reduction that enables direct use of global climate model outputs in ecological niche modeling. The system accomplishes this reduction through a Monte Carlo optimization in which many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ab9252dabae6331b64de915a0d221a
https://doi.org/10.1101/2021.09.03.458913
https://doi.org/10.1101/2021.09.03.458913
Autor:
Akiko Elders, Mark L. Carroll, Christopher S.R. Neigh, Anthony Louis D'Agostino, Christopher Ksoll, Margaret R. Wooten, Molly E. Brown
Publikováno v:
Remote Sensing Applications: Society and Environment. 27:100820
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c58613b60d0ec3831ed3c1a93e9cb4b
https://doi.org/10.1016/j.rsase.2022.100820
https://doi.org/10.1016/j.rsase.2022.100820