Deriving land surface biophysical parameters from satellite data for soil carbon sequenstration

Hongliang Fang, Shunlin Liang, Mitchel P. McClaran, Willem J.D. Van Leeuwen, Sam Drake, Stuart E. Marsh, Allison Thomson, Roberto C. Izaurralde, Norman J. Rosenberg

Research output: Contribution to conferencePaper

Abstract

We apply a hybrid inversion algorithm to estimate land surface biophysical variables (e.g., leaf area index) from the CHRIS (Compact High Resolution Imaging Spectrometer), and ETM+. Field campaigns were conducted over Tucson, Arizona to validate the algorithms and the products. The derived products were compared for different human management activities. These products are then available for input to a plant growth model for calculating the potential for carbon sequestration.

Original languageEnglish (US)
Pages4277-4280
Number of pages4
StatePublished - Dec 1 2004
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: Sep 20 2004Sep 24 2004

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
CountryUnited States
CityAnchorage, AK
Period9/20/049/24/04

Keywords

  • CHRIS
  • Leaf area index (LAI)
  • Semi-arid rangeland
  • Vegetation Index (VI)

ASJC Scopus subject areas

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

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  • Cite this

    Fang, H., Liang, S., McClaran, M. P., Van Leeuwen, W. J. D., Drake, S., Marsh, S. E., Thomson, A., Izaurralde, R. C., & Rosenberg, N. J. (2004). Deriving land surface biophysical parameters from satellite data for soil carbon sequenstration. 4277-4280. Paper presented at 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004, Anchorage, AK, United States.