Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content in crop systems

Rasmus Houborg*, Martha C. Anderson

*Corresponding author for this work

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

Abstract

Remotely sensed data in the reflective optical domain function as a unique cost-effective source for providing spatially and temporally distributed information on key biophysical and biochemical parameters of land surface vegetation. The challenging task of estimating leaf chlorophyll content (C ab) and leaf area index (LAI) is here undertaken for crop systems in Maryland using a REGularized canopy reflectance (REGFLEC) modeling tool, which couples leaf optics (PROSPECT), canopy reflectance (ACRM), and atmospheric radiative transfer (6SV1) models. Using 10-m resolution SPOT-5 imagery, REGFLEC effectuated robust retrievals of C ab and LAI for a diversity of agricultural fields characterized by a wide range in leaf chlorophyll and LAI levels with relative root-mean-square deviations on the order of 11 % and 15 %, respectively. REGFLEC is made entirely image-based by incorporating radiometric information from pixels belonging to the same land cover class during a LUT-based model inversion approach.

Original languageEnglish (US)
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Edition1
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: Jul 6 2008Jul 11 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume2

Other

Other2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
CountryUnited States
CityBoston, MA
Period07/6/0807/11/08

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications

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