Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Valerie J. Pasquarella"'
Autor:
Valerie J. Pasquarella, Luca L. Morreale, Christopher F. Brown, John B. Kilbride, Jonathan R. Thompson
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103561- (2023)
Ensemble-based change detection can improve map accuracies by combining information from multiple datasets. There is a growing literature investigating ensemble inputs and applications for forest disturbance detection and mapping. However, few studie
Externí odkaz:
https://doaj.org/article/1546a6a918b14f1a8c4bb959fb9d98da
Autor:
Morgan A. Crowley, Michelle Stuhlmacher, Erin D. Trochim, Jamon Van DenHoek, Valerie J. Pasquarella, Sabrina H. Szeto, Jeffrey T. Howarth, Rud Platt, Samapriya Roy, Beth Tellman, T. C. Chakraborty, Amber Ignatius, Emil Cherrington, Kel Markert, Qiusheng Wu, M. D. Madhusudan, Timothy Mayer, Jeffrey A. Cardille, Tyler Erickson, Rebecca Moore, Nicholas E. Clinton, David Saah
Publikováno v:
AGU Advances, Vol 4, Iss 4, Pp n/a-n/a (2023)
Abstract Earth observation (EO) is undergoing a paradigm shift with the development of cloud‐based analytical platforms supporting EO data collection and access, parallel processing, easier communication of results, and expanded accessibility. As t
Externí odkaz:
https://doaj.org/article/bd00494c0acc4aff900fe60be18fdbc0
Autor:
Christopher F. Brown, Steven P. Brumby, Brookie Guzder-Williams, Tanya Birch, Samantha Brooks Hyde, Joseph Mazzariello, Wanda Czerwinski, Valerie J. Pasquarella, Robert Haertel, Simon Ilyushchenko, Kurt Schwehr, Mikaela Weisse, Fred Stolle, Craig Hanson, Oliver Guinan, Rebecca Moore, Alexander M. Tait
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-17 (2022)
Measurement(s) land use • land cover Technology Type(s) deep learning
Externí odkaz:
https://doaj.org/article/12246c34bcf744d7b3bb99163c9e836d
Autor:
Valerie J. Pasquarella, James G. Mickley, Audrey Barker Plotkin, Richard G. MacLean, Riley M. Anderson, Leone M. Brown, David L. Wagner, Michael S. Singer, Robert Bagchi
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 4, Pp 592-609 (2021)
Abstract Remote sensing imagery can provide critical information on the magnitude and extent of damage caused by forest pests and pathogens. However, monitoring short‐term changes in deciduous forest condition caused by defoliating insects is chall
Externí odkaz:
https://doaj.org/article/3c2fc57a71c345e8b54fa1a15cf543a4
Autor:
Valerie J. Pasquarella, Paulo Arévalo, Kelsee H. Bratley, Eric L. Bullock, Noel Gorelick, Zhiqiang Yang, Robert E. Kennedy
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 110, Iss , Pp 102806- (2022)
Improved access to remotely sensed imagery and time series algorithms in combination with increased availability of cloud computing resources and platforms such as Google Earth Engine have significantly expanded the community of users processing and
Externí odkaz:
https://doaj.org/article/3178c36f751b41d4afa00701163011dd
Publikováno v:
Forests, Vol 8, Iss 8, p 275 (2017)
Introduced insects and pathogens impact millions of acres of forested land in the United States each year, and large-scale monitoring efforts are essential for tracking the spread of outbreaks and quantifying the extent of damage. However, monitoring
Externí odkaz:
https://doaj.org/article/7f401d1184c94361b8a6b45c7a98b074
Autor:
Jonathan R Thompson, Alexey Kalinin, Lucy G Lee, Valerie J Pasquarella, Joshua Plisinski, Katharine R E Sims
Publikováno v:
Environmental Research Letters, Vol 19, Iss 11, p 114033 (2024)
Conservation easements are voluntary legal agreements designed to constrain land-use activities on private land to achieve conservation goals. Extensive public and private funding has been used to establish ‘working forest’ conservation easements
Externí odkaz:
https://doaj.org/article/b4233c86a98a4a5dacdc602295885430
Autor:
Emma Conrad-Rooney, Jonathan Gewirtzman, Yanni Pappas, Valerie J. Pasquarella, Lucy R. Hutyra, Pamela H. Templer
Publikováno v:
Atmospheric Environment. 305:119783
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a936d25a18eb1706c767b11707003fc
https://doi.org/10.1016/j.atmosenv.2023.119783
https://doi.org/10.1016/j.atmosenv.2023.119783
Autor:
Joseph S. Elkinton, Jennifer L. Chandler, Audrey Barker Plotkin, Meghan Blumstein, Jonathan R. Thompson, Danelle Laflower, Valerie J. Pasquarella
Publikováno v:
Functional Ecology. 35:2156-2167
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9679ccbd493f7b12a0a1fb6f91f06e1b
https://doi.org/10.1111/1365-2435.13891
https://doi.org/10.1111/1365-2435.13891
Autor:
Audrey Barker Plotkin, David L. Wagner, Michael S. Singer, Richard G. MacLean, Riley M. Anderson, Robert Bagchi, Valerie J. Pasquarella, James Mickley, Leone M. Brown
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 4, Pp 592-609 (2021)
Remote sensing imagery can provide critical information on the magnitude and extent of damage caused by forest pests and pathogens. However, monitoring short‐term changes in deciduous forest condition caused by defoliating insects is challenging an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d6a192fb85c328c839a37b46a6a0858
https://doi.org/10.1002/rse2.211
https://doi.org/10.1002/rse2.211