Evaluation of Airborne Lidar Data to Predict Vegetation Presence/Absence

Autor:	John C. Brock, Robert Woodman, Amar Nayegandhi, C. Wayne Wright, Monica Palaseanu-Lovejoy
Rok vydání:	2009
Předmět:	Canopy Generalized linear model Lidar Ecology Vegetation classification Generalized additive model Linear model Environmental science Vegetation Transect Earth-Surface Processes Water Science and Technology Remote sensing
Zdroj:	Journal of Coastal Research. 10053:83-97
ISSN:	1551-5036 0749-0208
Popis:	This study evaluates the capabilities of the Experimental Advanced Airborne Research Lidar (EAARL) in delineating vegetation assemblages in Jean Lafitte National Park, Louisiana. Five-meter-resolution grids of bare earth, canopy height, canopy-reflection ratio, and height of median energy were derived from EAARL data acquired in September 2006. Ground-truth data were collected along transects to assess species composition, canopy cover, and ground cover. To decide which model is more accurate, comparisons of general linear models and generalized additive models were conducted using conventional evaluation methods (i.e., sensitivity, specificity, Kappa statistics, and area under the curve) and two new indexes, net reclassification improvement and integrated discrimination improvement. Generalized additive models were superior to general linear models in modeling presence/absence in training vegetation categories, but no statistically significant differences between the two models were achieved in ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0e79157cf046fd0618fa2d3c564df5f5 https://doi.org/10.2112/si53-010.1 Zobrazit plný text záznamu Plný text ve formátu PDF