DocumentCode
411244
Title
Evaluation of HYPERION data for forestry applications: coastal Douglas-fir and western hemlock
Author
Niemann, K. Olaf ; Goodenough, David G.
Author_Institution
Dept. of Geogr., Victoria Univ., BC, Canada
Volume
6
fYear
2003
fDate
21-25 July 2003
Firstpage
3769
Abstract
This study summarizes a comparison between the NASA EO1 HYPERION and AVIRIS sensors for discriminating forestry attributes. The results suggest that the two sensors have qualities that result in reflectance profiles that exhibit many similarities with respect to discrimination of a variety of forest foliar and structural characteristics. In some cases the HYPERION reflectance data appear to be better at discriminating specific criteria, in spite of the lower signal to noise characteristics.
Keywords
forestry; infrared imaging; vegetation mapping; AVIRIS sensors; HYPERION data; NASA EO1 HYPERION sensors; Pseudostuga menziesii; Tsuga heterophylla; coastal Douglas fir; forestry applications; reflectance profiles; signal-noise properties; western hemlock; Data mining; Forestry; Geography; Hyperspectral imaging; Hyperspectral sensors; Radiometry; Reflectivity; Sea measurements; Sensor phenomena and characterization; 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.2003.1295264
Filename
1295264
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