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 language | English (US) |
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Pages | 4277-4280 |
Number of pages | 4 |
State | Published - 2004 |
Event | 2004 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 2004 → Sep 24 2004 |
Other
Other | 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 |
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Country/Territory | United States |
City | Anchorage, AK |
Period | 9/20/04 → 9/24/04 |
Keywords
- CHRIS
- Leaf area index (LAI)
- Semi-arid rangeland
- Vegetation Index (VI)
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences