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Proceedings Paper

Detection of seasonal changes of rivers in tropical forests from JERS-1 SAR images of Amazon, New Guinea, and Congo Basin
Author(s): Takako Sakurai-Amano; Kazuhiro Nakasugi; Tasuku Yoshioka; Mikio Takagi
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Paper Abstract

We have recently developed a new, fully automated method for detecting and visualizing narrow rivers in Amazon forests from 3-look JERS-1 SAR images using strong isolated scatterers lined up intermittently along rivers. The resulting approximate range of waterways correspond astonishingly well with waterways visible in the cloudless areas of the near IR images of JERS-1 VNIR data observed one week later. We applied this method to more than 250 images of multi-temporal 4 look JERS-1 SAR scenes of tropical forest areas, such as the Amazon from May, 1996 to February, 1997, New Guinea from November, 1995 to March 1996, and Congo Basin of February and November, 1996. The resulting change in brightness (or length) of rivers corresponds quite well with the change in the average monthly rainfall data of the nearby areas. We therefore conclude that the brightness of the waterways in the JERS-1 SAR images are qualitative indicators of water flow in these rivers.

Paper Details

Date Published: 28 January 2002
PDF: 12 pages
Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); doi: 10.1117/12.454185
Show Author Affiliations
Takako Sakurai-Amano, National Space Development Agency of Japan (Japan)
Kazuhiro Nakasugi, Science Univ. of Tokyo (Japan)
Tasuku Yoshioka, Science Univ. of Tokyo (Japan)
Mikio Takagi, Science Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 4542:
Remote Sensing for Agriculture, Ecosystems, and Hydrology III
Manfred Owe; Guido D'Urso, Editor(s)

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