DocumentCode :
2672888
Title :
Wetlands map of Alaska using L-Band radar satellite imagery
Author :
Whitcomb, Jane ; Moghaddam, Mahta ; McDonald, Kyle ; Podest, Erika ; Kellndorfer, Josef
Author_Institution :
Univ. of Michigan, Ann Arbor
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
2487
Lastpage :
2490
Abstract :
We have used two seasons of L-band SAR imagery to produce a thematic map of wetlands throughout Alaska. The classification was developed using the Random Forests statistical decision tree algorithm. Input data included mosaics of summer and winter JERS-1 SAR imagery with associated image collection dates, summer and winter SAR backscatter texture, elevation, slope, proximity to water, and geographic latitude. The accuracy of the resulting thematic map was quantified using extensive ground reference data. The overall aggregate accuracy calculated based on all classified pixels was 89.5%, with individual per-tile aggregate accuracies ranging from 80% to 97%. As the first high-resolution large-scale synoptic wetlands map of Alaska, this product provides the basis for improved characterization of land- atmosphere CH4 and CO2 fluxes and climate change impacts associated with thawing soils and changes in extent and drying of wetland ecosystems.
Keywords :
atmospheric boundary layer; atmospheric composition; image classification; remote sensing by radar; spaceborne radar; synthetic aperture radar; Alaska; JERS-1 SAR imagery; L-band radar satellite imagery; SAR backscatter texture; climate change impacts; elevation; geographic latitude; image classification; land- atmosphere interaction; random forests statistical decision tree algorithm; slope; thematic map; water proximity; wetland ecosystems; wetlands map; Accuracy; Aggregates; Backscatter; Classification tree analysis; Decision trees; L-band; Large-scale systems; Radar imaging; Satellites; Spaceborne radar; classification; synthetic aperture radar; wetlands;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423348
Filename :
4423348
Link To Document :
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