Developing a neural-network-based "BRDF" tool for the UAE coastal and inland zones

Ali Al Suwaidi, Adnan Al Rais, Hosni Ghedira, Marouane Temimi

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

Abstract

The radiation reflected by any observed surface is highly dependent on both sun illumination and satellite observation angles. These two angles are also described, respectively, as incident and reflected angles. The geometry-dependence of surface reflectance is usually corrected by a tailored Bidirectional Reflectance Distribution Function (BRDF). It is the most common tool used to eliminate or to reduce the effects of sun-sensor geometry on the reflected radiation. Generally, BRDFs are derived empirically (or semi-empirically) for a specific land cover by analyzing a large set of observations (training set) made under different illumination and observation angles. This approach involves fitting the model to collected observations and inverting it. A strong BRDF model tailored to specific land cover characteristics of the UAE is especially needed for applications that use data acquired with variable sun-sensor geometry. In this paper, a neural-network-based tool "BRDF" was developed and applied to quantify the effect of sun illumination and SEVIRI-MSG observation angles on measured reflectance for both land (mostly desert) and coastal water pixels in the UAE.

Original languageEnglish
Title of host publication2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
PagesII460-II463
DOIs
StatePublished - 2009
Event2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa
Duration: 12 Jul 200917 Jul 2009

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2

Conference

Conference2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/TerritorySouth Africa
CityCape Town
Period12/07/0917/07/09

Keywords

  • Bidirectional reflectance distribution function (BRDF)
  • METEOSAT Second Generation (MSG)
  • Neural networks
  • SEVIRI-MSG
  • UAE

Fingerprint

Dive into the research topics of 'Developing a neural-network-based "BRDF" tool for the UAE coastal and inland zones'. Together they form a unique fingerprint.

Cite this