The retrieval of land surface albedo in rugged terrain

B. Gao, L. Jia, M. Menenti

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

Land surface albedo may be derived from the satellite data through the estimation of a bidirectional reflectance distribution function (BRDF) model and angular integration. However many BRDF models do not consider explicitly the topography. In rugged terrain, the topography influences the observed surface reflectance, and varies the distribution of downward irradiance, so that BRDF and angular integration will change from flat area to rugged area. This paper details an approach to take into account the topography influences on the surface reflectance, and outlines an algorithm considering the topographic factor. This algorithm makes use of a Digital Elevation Model (DEM) to correct the incidence angle and the reflection angle in a BRDF model, and performs the angular integration based on the different distribution of downward irradiance between a flat area and a rugged area. This approach was applied to HJ-1A/B data and the results were compared with the ones obtained with the algorithm designed for NASA's MODIS data.
Original languageEnglish
Title of host publicationProceedings of The Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2012)
Place of PublicationShanghai, China
PublisherIEEE Xplore
Pages41-45
ISBN (Print)9781467319478
DOIs
Publication statusPublished - 2012
EventThe Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2012) -
Duration: 8 Jun 201211 Jun 2012

Workshop

WorkshopThe Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA 2012)
Period8/06/1211/06/12

Fingerprint Dive into the research topics of 'The retrieval of land surface albedo in rugged terrain'. Together they form a unique fingerprint.

Cite this