Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Charles E. Swift"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 43, Iss 3, Pp 231-243 (2017)
Ecologists have a long-term interest in understanding the relative influence of vegetation composition and vegetation structure on avian diversity. LiDAR remote sensing is useful in studying local patterns of avian diversity because it characterizes
Externí odkaz:
https://doaj.org/article/47ed5404cec644069e6fdcbb87e59991
Publikováno v:
Aspen Bibliography
Ecologists have a long-term interest in understanding the relative influence of vegetation composition and vegetation structure on avian diversity. LiDAR remote sensing is useful in studying local patterns of avian diversity because it characterizes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d0e9307fff4fa5b970510e0d2754dd
https://doi.org/10.1080/07038992.2017.1317205
https://doi.org/10.1080/07038992.2017.1317205
Autor:
Michelle Jusino, Lee Vierling, Kerri T. Vierling, Andrew Hudak, Jessica M. Stitt, Jamie Jarolimek, Teresa J. Lorenz, Charles E. Swift, Carlos A. Silva
Publikováno v:
Proceedings of the 5th European Congress of Conservation Biology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab3b564467781355aecb7ddbaca8ac9c
https://doi.org/10.17011/conference/eccb2018/107240
https://doi.org/10.17011/conference/eccb2018/107240
Publikováno v:
Remote Sensing Letters. 5:185-193
Vegetation structure quantified by light detection and ranging (LiDAR) can improve understanding of wildlife occupancy and species-richness patterns. However, there is often a time lag between the collection of LiDAR data and wildlife data. We invest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b918889418f4d9f0b9002f44521e42
https://doi.org/10.1080/2150704x.2014.891773
https://doi.org/10.1080/2150704x.2014.891773