DocumentCode
410384
Title
EVEOSD forest information products from AVIRIS and Hyperion
Author
Goodenough, David G. ; Chen, Hao ; Dyk, Andrew ; Han, Tian ; McDonald, Sarah ; Murdoch, Matthew ; Niemann, K. Olaf ; Pearlman, Jay ; West, Chris
Author_Institution
Pacific Forestry Centre, Natural Resources Canada, Victoria, BC, Canada
Volume
1
fYear
2003
fDate
21-25 July 2003
Firstpage
284
Abstract
Hyperspectral remote sensing can provide forest information products for applications in forest inventory, forest chemistry, and the Kyoto Protocol. One of the forest information products is the high accuracy forest species map produced by the classification of hyperspectral data. As part of the Evaluation and Validation of EO-1 for Sustainable Development (EVEOSD) Project, Hyperion data were acquired in 2001 and 2002. Corresponding AVIRIS data were also acquired. All hyperspectral data acquired were calibrated to reflectance and orthorectified. Experiments were conducted to compare the accuracies of the data sets for mapping forest species. Operational accuracies for forest species recognition were achieved with both AVIRIS and Hyperion. Bioindicators were also developed for mapping chlorophyll, nitrogen, and moisture content. These bioindicators were stratified by forest type. In the Greater Victoria Watershed District and the Hoquiam, Washington State test sites, foliar samples were collected, analyzed, and databases were built, which include foliar chemistry and plot parameters. These sites were used to develop the indicators and to validate their success. The forest information products produced under the EVEOSD project demonstrate some of the benefits to be achieved from an operational hyperspectral satellite.
Keywords
atmospheric boundary layer; atmospheric chemistry; data acquisition; forestry; vegetation mapping; AD 2001; AD 2002; AVIRIS; EVEOSD Project; EVEOSD forest information products; Greater Victoria Watershed District; Hoquiam; Hyperion; Kyoto Protocol; Washington State test sites; bioindicators; chlorophyll mapping; data set accuracy; evaluation and validation of EO-1 for sustainable development; foliar chemistry; foliar samples; forest chemistry; forest inventory; forest species map; forest species recognition; hyperspectral data classification; hyperspectral remote sensing; hyperspectral satellite; moisture content mapping; nitrogen mapping; orthorectification; reflectance; Chemistry; Hyperspectral imaging; Hyperspectral sensors; Moisture; Nitrogen; Protocols; Reflectivity; Remote sensing; Sustainable development; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1293751
Filename
1293751
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