Research about the bidirectional NDVI based on kernel-driven models

Yang Li, Ziti Jiao, Xiaoning Zhang, Hu Zhang, Yadong Dong

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

Abstract

Normalized Difference Vegetation Index (NDVI) is one of the most widely used vegetation indexes because the NDVI of typical type of land coverage has a clear distinction on a large-scale image, especially has a valid highlight for vegetation. Anisotropic reflectance characteristics of natural land surface affect the retrieval of NDVI, which means the variation of solar zenith angle and view zenith angle leads to different values of NDVI. This paper uses kernel-driven models to simulate the reflectance of different solar and view zenith angles to calculate the corresponding NDVI values and contrasts the influences of bidirectional reflectance on NDVI under different degrees of the coverage of surface.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1949-1952
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

  • NDVI
  • bidirectional reflectance
  • kernel-driven model
  • sun zenith angle
  • view zenith angle

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