Zobrazeno 1 - 10
of 301
pro vyhledávání: '"H. Helmer"'
Autor:
Eileen H Helmer, Shannon Kay, Humfredo Marcano-Vega, Jennifer S Powers, Tana E Wood, Xiaolin Zhu, David Gwenzi, Thomas S Ruzycki
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0280322 (2023)
Uncertainties about controls on tree mortality make forest responses to land-use and climate change difficult to predict. We tracked biomass of tree functional groups in tropical forest inventories across Puerto Rico and the U.S. Virgin Islands, and
Externí odkaz:
https://doaj.org/article/7ca2b4483cd84ec5b1719334b2e7777e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 104, Iss , Pp 102536- (2021)
Many studies have investigated the impacts of typhoons on natural vegetation, but the influencing factor of urban vegetation damage from super typhoon is not clear. Therefore, this study investigated the vegetation damage patterns in eight cities aff
Externí odkaz:
https://doaj.org/article/0a9eef4819654bb6a503850bf35d1abd
Autor:
Xiaolin Zhu, Eileen H. Helmer, David Gwenzi, Melissa Collin, Sean Fleming, Jiaqi Tian, Humfredo Marcano-Vega, Elvia J. Meléndez-Ackerman, Jess K. Zimmerman
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4736 (2021)
Fine-resolution satellite imagery is needed for characterizing dry-season phenology in tropical forests since many tropical forests are very spatially heterogeneous due to their diverse species and environmental background. However, fine-resolution s
Externí odkaz:
https://doaj.org/article/d5f873e2ec874472944f0d6dd8bb500e
Akademický článek
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Autor:
Eileen H. Helmer, Thomas S. Ruzycki, Barry T. Wilson, Kirk R. Sherrill, Michael A. Lefsky, Humfredo Marcano-Vega, Thomas J. Brandeis, Heather E. Erickson, Bonnie Ruefenacht
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1724 (2018)
We mapped native, endemic, and introduced (i.e., exotic) tree species counts, relative basal areas of functional groups, species basal areas, and forest biomass from forest inventory data, satellite imagery, and environmental data for Puerto Rico and
Externí odkaz:
https://doaj.org/article/edaf436ca0054d888436365eadeae21d
Autor:
Sean Fleming, Humfredo Marcano-Vega, Jiaqi Tian, Jess K. Zimmerman, David Gwenzi, Melissa Collin, Elvia J. Meléndez-Ackerman, Eileen H. Helmer, Xiaolin Zhu
Publikováno v:
Remote Sensing, Vol 13, Iss 4736, p 4736 (2021)
Remote Sensing; Volume 13; Issue 23; Pages: 4736
Remote Sensing; Volume 13; Issue 23; Pages: 4736
Fine-resolution satellite imagery is needed for characterizing dry-season phenology in tropical forests since many tropical forests are very spatially heterogeneous due to their diverse species and environmental background. However, fine-resolution s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61e2f74975960f653319366b5935446f
https://www.mdpi.com/2072-4292/13/23/4736
https://www.mdpi.com/2072-4292/13/23/4736
Autor:
Sheng-I Yang, Thomas J. Brandeis, Eileen H. Helmer, Michael P. Oatham, Tamara Heartsill-Scalley, Humfredo Marcano-Vega
Publikováno v:
Forest Ecology and Management. 524:120507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19bc63305586df84d474a5ded00f6e7f
https://doi.org/10.1016/j.foreco.2022.120507
https://doi.org/10.1016/j.foreco.2022.120507
Publikováno v:
Endangered Species Research, Vol 38, Pp 79-89 (2019)
Understanding the population dynamics of migratory animals throughout the full annual cycle is critical for effective conservation, and requires knowing where populations are located throughout the year. For most Neotropical-Nearctic migratory bird s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb8b33276005b44abcf8f082c6f2b7dc
https://doi.org/10.3354/esr00937
https://doi.org/10.3354/esr00937
Publikováno v:
Remote Sensing, Vol 9, Iss 2, p 123 (2017)
Remotely-sensed estimates of forest biomass are usually based on various measurements of canopy height, area, volume or texture, as derived from LiDAR, radar or fine spatial resolution imagery. These measurements are then calibrated to estimates of s
Externí odkaz:
https://doaj.org/article/ad7ce34c2f5f402c8035e7e7d8e42b7f
Autor:
Eileen H. Helmer, Xiaolin Zhu
Publikováno v:
Remote Sensing of Environment. 214:135-153
Clouds and cloud shadows block land surface information in optical satellite images. Accurate detection of clouds and cloud shadows can help exclude these contaminated pixels in further applications. Existing cloud screening methods are challenged by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37de8c14973c4062d8c0acd71e9651e1
https://doi.org/10.1016/j.rse.2018.05.024
https://doi.org/10.1016/j.rse.2018.05.024