Land Cover Classification and Modeling of Ecosystem Carbon Flux in the Barrow Environmental Observatory Using IKONOS Satellite Imagery
Craig E. Tweedie, Fred Huemmrich, Robert D. Hollister, John A. Gamon, Glen Kinoshita, Patrick J. Webber, Brian Noyle, Diana Karwan, Steve Oberbauer, Andrea Kuchy, Walter C. Oechel, Stan Houston, Erika Anderson, Hyojung Kwon, Rommel C. Zulueta, Joe Verfaillie and Stuart Gage.
Fig. 1 - The Barrow Environmental Observatory (BEO)
Fig. 2 - IKONOS 1 meter Panchromatic image.
- Remote Sensing is essential for mapping land cover and facilitates integration of multidisciplinary terrestrial research to derive predictive models of ecosystem processes.
- To date, the pixel resolution of most satellite remote sensing imagery has been too coarse to adequately characterizing the heterogeneous landscape of the Alaskan Arctic coastal plain such as that around Barrow(Fig. 1)1.
- In September 1999 Space Imaging launched the IKONOS satellite. This satellite delivers 1m panchromatic (black and white) and 4m multispectral imagery
(Fig. 2)2. This is a resolution similar to that derived from 1:63,360 aerial photographs and more than six times higher than that of Landsat ETM imagery. - In collaboration with the Barrow Arctic Science Consortium (BASC), the Webber group at MSU-AEL acquired IKONOS imagery for the Barrow Environmental Observatory (BEO, see Fig. 1)3 in mid July and mid August 2000. This was the first acquisition of IKONOS imagery in northern Alaska.
Fig. 3 - IKONOS 1 meter pan-corrected multispectral image
Continue browsing this poster:
- Beginning
- Introduction
- IKONOS Satellite Imagery
- Land Cover Classification
- Modeling of Carbon Flux (GEE)
- Conclusions
- References