Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ana Patricia Ruiz-Beltran"'
Autor:
Leonard Hambrecht, Arko Lucieer, Zbyněk Malenovský, Bethany Melville, Ana Patricia Ruiz-Beltran, Stuart Phinn
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4287 (2022)
Remotely sensed morphological traits have been used to assess functional diversity of forests. This approach is potentially spatial-scale-independent. Lidar data collected from the ground or by drone at a high point density provide an opportunity to
Externí odkaz:
https://doaj.org/article/4b0e552d38794baa80422bfb839e8f9e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 91, Iss , Pp 102152- (2020)
This paper presents a novel methodological approach to countrywide vegetation mapping. We used green vegetation biomass over the year as captured by coarse resolution hyper-temporal NDVI satellite-imagery, to generate vegetation mapping units at the
Externí odkaz:
https://doaj.org/article/6dfa5fea81c24436aaa2a67467783cf8
Publikováno v:
Estuaries and Coasts. 42:1761-1773
Shoreline change is an important morphological feature used to identify impacts on coastal processes caused by coastal infrastructure or natural conditions (e.g., storms or sea level rise), providing insightful information for coastal and shoreline m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c89173865df0aa4a251cf27e15ccf14
https://doi.org/10.1007/s12237-019-00573-7
https://doi.org/10.1007/s12237-019-00573-7
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 91:102152, 1-11. Elsevier
This paper presents a novel methodological approach to countrywide vegetation mapping. We used green vegetation biomass over the year as captured by coarse resolution hyper-temporal NDVI satellite-imagery, to generate vegetation mapping units at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da5ececd444fe146e8a72aa879b941bc
https://doi.org/10.1016/j.jag.2020.102152
https://doi.org/10.1016/j.jag.2020.102152