Preliminary validation and application of the angle products of MODIS AFX based on kernel-driven model

Xiaoning Zhang, Ziti Jiao, Yang Li, Yadong Dong, Dongni Bai

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

1 Citation (Scopus)

Abstract

The semi-empirical kernel-driven Bidirectional Reflectance Distribution Function (BRDF) models have been widely used in many remotely sensed BRDF/albedo products such as MODIS products for their simplicity and physical interpretation[1]. Based on anisotropic flat index (AFX) derived from the model[2], magnitude inversion algorithm which takes BRDF archetypes as prior knowledge have been proposed[3]. In order to validate the ability of AFX to indicate land surface anisotropy, the relations between AFX and BRDF shapes of several typical land cover types are described in this paper. Besides, we compare the values of prototype inversion algorithm based on AFX with the original full inversion algorithm. Finally, we study relations between AFX and LAI with the simulation data of the two-layer canopy reflectance model of KUUSK to apply AFX, which may guide future research of retrieving the vegetation parameters.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1945-1948
Number of pages4
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • AFX
  • BRDF
  • KERNEL-DRIVEN MODEL
  • MODIS

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