Name
Abstract | ||
|---|---|---|
Hyperion, a hyperspectral sensor, and the Advanced Land Imager (ALI) are carried on NASA's EO-1 satellite. The Evaluation and Validation of EO-1 for Sustainable Development (EVEOSD) is our project supporting the EO-1 mission. With 10% of the world's forests and the second largest country by area in the world, Canada has a natural requirement for effective monitoring of its forests. Eight test sites have been selected for EVEOSD, with seven in Canada and one in the US. Extensive fieldwork has been conducted at four of these sites. A comparison is made of forest classification results from Hyperion, ALI, and the ETM+ of Landsat-7 for the Greater Victoria Watershed. The data have been radiometrically corrected and ortho-rectified. Feature selection and statistical transforms are used to reduce the Hyperion feature space from 220 channels to 12 features. Classes chosen for discrimination included Douglas Fir, Hemlock, Western Red Cedar, Lodgepole Pine and Red Alder. Overall classification accuracies obtained for each sensor were: Hyperion 92.9%, ALI 84.8%, and ETM+ 75.0%. Hyperspectral remote sensing provides significant advantages and greater accuracies over ETM+ for forest discrimination. The EO-1 sensors, Hyperion and ALI, provide data with excellent discrimination for Pacific Northwest forests in comparison to Landsat-7. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1025717 | Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International |
Keywords | Field | DocType |
forestry,geophysical techniques,vegetation mapping,350 to 2500 nm,ALI,Advanced Land Imager,Canada,Douglas fir,EO-1,EVEOSD,Hyperion,IR,Pseudotsuga menziesii,USA,United States,classification accuracy,evaluation,forest,geophysical measurement technique,hyperspectral remote sensing,infrared,lodgepole pine,multispectral remote sensing,red alder,satellite remote sensing,validation,vegetation mapping,visible,western hemlock,western red cedar | Satellite,Feature vector,Feature selection,Computer science,Remote sensing,Hyperspectral imaging,Watershed | Conference |
Volume | ISBN | Citations |
2 | 0-7803-7536-X | 5 |
PageRank | References | Authors |
0.77 | 3 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| david g goodenough | 1 | 78 | 18.64 |
| Bhogal, A.S. | 2 | 12 | 3.13 |
| a dyk | 3 | 85 | 18.72 |
| allan b hollinger | 4 | 5 | 0.77 |
| z mah | 5 | 5 | 0.77 |
| k o niemann | 6 | 48 | 8.20 |
| jay pearlman | 7 | 10 | 1.79 |
| hsinchun chen | 8 | 5 | 0.77 |
| tian han | 9 | 31 | 10.85 |
| Love, J. | 10 | 17 | 4.03 |
| s a mcdonald | 11 | 5 | 0.77 |