Abstract
A stream of multitemporal SeaWiFS (Sea-viewing Wide Field-of-view Sensor) data was extracted and analyzed over the Amazon region and surrounding land-community validate sites representing a wide range of vegetation conditions. The data successfully mapped the vegetation cover of the Amazon region. The various vegetation indices yielded very contrasting results in their ability to discriminate vegetation and land-use differences. These results lead to the conclusion that multiple indices are required to fully characterize the spatial/temporal variations of the Amazon region, 250 m pixel sizes.
| Original language | English (US) |
|---|---|
| Pages | 785-787 |
| Number of pages | 3 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) - Seattle, WA, USA Duration: Jul 6 1998 → Jul 10 1998 |
Other
| Other | Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) |
|---|---|
| City | Seattle, WA, USA |
| Period | 7/6/98 → 7/10/98 |
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences