Evaluating Prospects for Improved Forest Parameter Retrieval From Satellite LiDAR Using a Physically-Based Radiative Transfer Model

Autor:	Jon Ranson, Jacqueline Rosette, J. Rubio-Gil, Juan Suarez, Bruce D. Cook, Sietse O. Los, Peter North, J. B. Blair, Guoqing Sun
Rok vydání:	2013
Předmět:	Atmospheric Science Atmospheric radiative transfer codes Lidar Forest ecology Radiative transfer Environmental science Ray tracing (graphics) Satellite Vegetation Sensitivity (control systems) Computers in Earth Sciences Remote sensing
Zdroj:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6:45-53
ISSN:	2151-1535 1939-1404
DOI:	10.1109/jstars.2013.2244199
Popis:	A space-based full-waveform LiDAR system, optimised for vegetation analysis, offers the opportunity for global biophysical parameter retrieval of the world's forests. However the conditions under which signals from the ground and vegetation can be detected will vary as a result of sensor specifications, vegetation characteristics and underlying surface properties. This paper demonstrates the utility of a ray tracing radiative transfer model for assessing sensitivity to site-specific conditions (e.g., topography, canopy and ground reflectance) that will improve our ability to estimate structural parameters in forest ecosystems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0180eef2827f04945b5e7470578703d https://doi.org/10.1109/jstars.2013.2244199 Zobrazit plný text záznamu