| タイトル | Terrain-Moisture Classification Using GPS Surface-Reflected Signals |
| 本文（外部サイト） | http://hdl.handle.net/2060/20080013364 |
| 著者（英） | Katzberg, Stephen J.; Acton, Scott T.; Grant, Michael S. |
| 著者所属（英） | NASA Langley Research Center |
| 発行日 | 2006-01-01 |
| 言語 | eng |
| 内容記述 | In this study we present a novel method of land surface classification using surface-reflected GPS signals in combination with digital imagery. Two GPS-derived classification features are merged with visible image data to create terrain-moisture (TM) classes, defined here as visibly identifiable terrain or landcover classes containing a surface/soil moisture component. As compared to using surface imagery alone, classification accuracy is significantly improved for a number of visible classes when adding the GPS-based signal features. Since the strength of the reflected GPS signal is proportional to the amount of moisture in the surface, use of these GPS features provides information about the surface that is not obtainable using visible wavelengths alone. Application areas include hydrology, precision agriculture, and wetlands mapping. |
| NASA分類 | Earth Resources and Remote Sensing |
| 権利 | Copyright, Distribution as joint owner in the copyright |
