Name
Abstract | ||
|---|---|---|
This paper evaluates spatiotemporal changes of regional-scale landscapes using Landsat data, which are able to acquire large amount of data since 1972. The data provides high-quality imagery for many different applications such as land cover mapping and change detection. In this study Landsat TM images on November 1985 and October 1997 were used to evaluate quantitative landscape changes of the Chubu and Kinki regions in Japan. Land classification images were analyzed using simple landscape metrics and sequential analysis method. Consequently, we identified that the urban area grew spatially and aggregated around an existing urban core area. This study demonstrates that remote satellite images provide the desired information such as urban planning and regional planning for a spatiotemporal assessment of various regional-scale landscape changes. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/IGARSS.2005.1525434 | IGARSS |
Keywords | Field | DocType |
time series,remote sensing,time series analysis,satellites,information analysis,urban planning,aerospace industry,regional planning,change detection,sequential analysis | Aerospace,Time series,Satellite,Computer science,Remote sensing,Urban planning | Conference |
Volume | ISBN | Citations |
4 | 0-7803-9050-4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshiyuki Yamamoto | 1 | 0 | 0.34 |
| Yasuhiro Yamada | 2 | 52 | 10.97 |
| Yasushi Hayashi | 3 | 0 | 0.34 |
| Tomohito Asaka | 4 | 3 | 1.45 |
| Yukihiro Suzuoki | 5 | 21 | 2.60 |
| Keishi Iwashita | 6 | 0 | 0.68 |
| Hajime Nishikawa | 7 | 3 | 0.77 |