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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1295264
