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Proceedings Paper

Evaluation of JERS-1/SAR data for vegetation types in arid regions
Author(s): Muhtar Qong
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Paper Abstract

The purpose of this paper is to evaluate JERS-1/SAR data for determining vegetation types in arid regions. First, a noise speckle filter was applied to the original JERS-1/SAR image data using a Map Filter with an adaptive 7*7 window. Second, a small part of the study area was extracted for the full scene image for further analysis. The NRCS values of each extracted image data were computed with the known Calibration Factor for the NASDA supplied JERS-1/SAR data. Each image was assigned to one of the three categories with two selected threshold levels. These two threshold levels can be obtained by Otsu's Automatic threshold selection method.In order to generate color composite images, multi- temporal SAR images were registered with the JERS-1/OPS image using a second-order polynomial function. The accuracy of registration was within 0.5 pixel RMS error. Following this color composite an image based on above three scenes was generated to identify the training samples. Finally, the color composite image was evaluated for vegetation type discrimination in the study area. A test site along the Tarim River in the Tarim Basin, China, was selected for this purpose.

Paper Details

Date Published: 19 August 1998
PDF: 12 pages
Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); doi: 10.1117/12.319475
Show Author Affiliations
Muhtar Qong, National Space Development Agency of Japan (Japan)


Published in SPIE Proceedings Vol. 3503:
Microwave Remote Sensing of the Atmosphere and Environment
Tadahiro Hayasaka; Dong Liang Wu; Yaqiu Jin; JingShang Jiang, Editor(s)

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