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pro vyhledávání: '"Johnson, Lucas K"'
The United States national forest inventory (NFI) serves as the foundation for forest aboveground biomass (AGB) and carbon accounting across the nation. These data enable design-based estimates of forest carbon stocks and stock-changes at state and r
Externí odkaz:
http://arxiv.org/abs/2405.04507
Publikováno v:
Forest Ecology and Management 546, (2023), 121348
Understanding historical forest dynamics, specifically changes in forest biomass and carbon stocks, has become critical for assessing current forest climate benefits and projecting future benefits under various policy, regulatory, and stewardship sce
Externí odkaz:
http://arxiv.org/abs/2304.02632
Evaluating models fit to data with internal spatial structure requires specific cross-validation (CV) approaches, because randomly selecting assessment data may produce assessment sets that are not truly independent of data used to train the model. M
Externí odkaz:
http://arxiv.org/abs/2303.07334
Autor:
Johnson, Lucas K., Mahoney, Michael J., Bevilacqua, Eddie, Stehman, Stephen V., Domke, Grant, Beier, Colin M.
Publikováno v:
Int J Appl Earth Obs Geoinf 114 (2022) 103059
Estimating forest AGB at large scales and fine spatial resolutions has become increasingly important for greenhouse gas accounting, monitoring, and verification efforts to mitigate climate change. Airborne LiDAR is highly valuable for modeling attrib
Externí odkaz:
http://arxiv.org/abs/2205.08530
Publikováno v:
The International Journal of Remote Sensing 43(19-24), (2022), 7117-7138
Novel plant communities reshape landscapes and pose challenges for land cover classification and mapping that can constrain research and stewardship efforts. In the US Northeast, emergence of low-statured woody vegetation, or shrublands, instead of s
Externí odkaz:
http://arxiv.org/abs/2205.05047
Akademický článek
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Autor:
Johnson, Lucas K.1 (AUTHOR), Barnes, Griffin L.1 (AUTHOR), Fernandez, Sebastian A.1 (AUTHOR), Vanderwal, Christopher D.1,2 (AUTHOR) cdv@uci.edu
Publikováno v:
Angewandte Chemie. 5/15/2023, Vol. 135 Issue 21, p1-5. 5p.
Autor:
Sabat, Mark, Carney, Daniel W., Hernandez-Torres, Gloria, Gibson, Tony S., Balakrishna, Deepika, Zou, Hua, Xu, Rui, Chen, Chien-Hung, de Jong, Ron, Dougan, Douglas R., Qin, Ling, Bigi-Botterill, Simone V., Chambers, Alison, Miura, Joanne, Johnson, Lucas K., Ermolieff, Jacques, Johns, Deidre, Selimkhanov, Jangir, Kwok, Lily, DeMent, Kevin
Publikováno v:
Journal of Medicinal Chemistry; 6/27/2024, Vol. 67 Issue 12, p10306-10320, 15p
Publikováno v:
In Artificial Intelligence in Earth Science 2023:295-316
This directory contains data used in the chapter "AI for Shrubland Identification and Mapping" published in the book "AI for Earth Science". No data was collected specifically for this study; instead, we made use of publicly available LiDAR data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c0091842da7c597aee236f400e0f69a