Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bethel G. Steele"'
Autor:
Whitney M. Woelmer, R. Quinn Thomas, Freya Olsson, Bethel G. Steele, Kathleen C. Weathers, Cayelan C. Carey
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102825- (2024)
Near-term iterative ecological forecasting has great potential for providing new insights into our ability to predict multiple ecological variables. However, true, out-of-sample probabilistic forecasts remain rare, and variability in forecast perform
Externí odkaz:
https://doaj.org/article/429faf0800f6486a8d9a28c845739e71
Autor:
Sophia K. Skoglund, Abdou Rachid Bah, Hamidreza Norouzi, Kathleen C. Weathers, Holly A. Ewing, Bethel G. Steele, Linda C. Bacon
Publikováno v:
Ecosphere, Vol 15, Iss 9, Pp n/a-n/a (2024)
Abstract Studies of lake ice phenology have historically relied on limited in situ data. Relatively few observations exist for ice out and fewer still for ice in, both of which are necessary to determine the temporal extent of ice cover. Satellite da
Externí odkaz:
https://doaj.org/article/31f35e8fac2d4de0b37c65e2e21274fb
Autor:
Holly A. Ewing, Kathleen C. Weathers, Kathryn L. Cottingham, Peter R. Leavitt, Meredith L. Greer, Cayelan C. Carey, Bethel G. Steele, Alyeska U. Fiorillo, John P. Sowles
Publikováno v:
Ecosphere, Vol 11, Iss 6, Pp n/a-n/a (2020)
Abstract Recent cyanobacterial blooms in otherwise unproductive lakes may be warning signs of impending eutrophication in lakes important for recreation and drinking water, but little is known of their historical precedence or mechanisms of regulatio
Externí odkaz:
https://doaj.org/article/85c53a586554490fbf6a4320d63dc567
Autor:
Hannah J. Rubin, David A. Lutz, Bethel G. Steele, Kathryn L. Cottingham, Kathleen C. Weathers, Mark J. Ducey, Michael Palace, Kenneth M. Johnson, Jonathan W. Chipman
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1434 (2021)
There has been little rigorous investigation of the transferability of existing empirical water clarity models developed at one location or time to other lakes and dates of imagery with differing conditions. Machine learning methods have not been wid
Externí odkaz:
https://doaj.org/article/767b08f68a7640f08fcc64fd777a9f86
Autor:
Mary E. Lofton, Jennifer A. Brentrup, Whitney S. Beck, Jacob A. Zwart, Ruchi Bhattacharya, Ludmila S. Brighenti, Sarah H. Burnet, Ian M. McCullough, Bethel G. Steele, Cayelan C. Carey, Kathryn L. Cottingham, Michael C. Dietze, Holly A. Ewing, Kathleen C. Weathers, Shannon L. LaDeau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3f9517734c77573f5a55f945621ed6f
https://doi.org/10.1002/essoar.10510778.1
https://doi.org/10.1002/essoar.10510778.1
Autor:
Mary E. Lofton, Jennifer A. Brentrup, Whitney S. Beck, Jacob A. Zwart, Ruchi Bhattacharya, Ludmila S. Brighenti, Sarah H. Burnet, Ian M. McCullough, Bethel G. Steele, Cayelan C. Carey, Kathryn L. Cottingham, Michael C. Dietze, Holly A. Ewing, Kathleen C. Weathers, Shannon L. LaDeau
Publikováno v:
Ecological applications : a publication of the Ecological Society of America. 32(5)
Near-term ecological forecasts provide resource managers advance notice of changes in ecosystem services, such as fisheries stocks, timber yields, or water quality. Importantly, ecological forecasts can identify where there is uncertainty in the fore
Autor:
Sophia Karina Skoglund, Linda C. Bacon, Bethel G. Steele, A. R. Bah, Kathleen C. Weathers, Hamidreza Norouzi, Holly A. Ewing
Publikováno v:
IGARSS
Studies of lake ice phenology have historically relied on limited in situ data. Satellite-derived temperature data provide an opportunity to better understand the climatological factors and trends behind ice phenology. Here we developed a model that
Autor:
Mark J. Ducey, Kenneth M. Johnson, Bethel G. Steele, Hannah J. Rubin, Michael W. Palace, David A. Lutz, Kathleen C. Weathers, Jonathan W. Chipman, Kathryn L. Cottingham
Publikováno v:
Remote Sensing, Vol 13, Iss 1434, p 1434 (2021)
Remote Sensing; Volume 13; Issue 8; Pages: 1434
Remote Sensing; Volume 13; Issue 8; Pages: 1434
There has been little rigorous investigation of the transferability of existing empirical water clarity models developed at one location or time to other lakes and dates of imagery with differing conditions. Machine learning methods have not been wid
Autor:
Lily Maechling, Kathleen C. Weathers, Kathryn L. Cottingham, Min-Gi Jeong, Denise A. Bruesewitz, Alberto Quattrini Li, Jennifer A. Brentrup, Nicole K. Ward, Holly A. Ewing, Monika Roznere, Bethel G. Steele
Publikováno v:
Experimental Robotics ISBN: 9783030711504
ISER
ISER
This paper describes experiments that tested the effect of robotic movement on the reliability of aquatic sensor readings. It also demonstrates the utility of a heterogeneous system of robots to advance limnological monitoring and research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e3cbc129c2505990dce441dedee7507
https://doi.org/10.1007/978-3-030-71151-1_13
https://doi.org/10.1007/978-3-030-71151-1_13
Autor:
Alexandra G Ponette-González, Lisa M Curran, Alice M Pittman, Kimberly M Carlson, Bethel G Steele, Dessy Ratnasari, Mujiman, Kathleen C Weathers
Publikováno v:
Environmental Research Letters, Vol 11, Iss 8, p 085003 (2016)
Biomass burning plays a critical role not only in atmospheric emissions, but also in the deposition and redistribution of biologically important nutrients within tropical landscapes. We quantified the influence of fire on biogeochemical fluxes of nit
Externí odkaz:
https://doaj.org/article/e1eadeb9526641fea023eb830875e83f