DISCUSSION ON THE SCALE PROBLEM IN REMOTE SENSING DATA FOR LOESS LANDSLIDE SURVEY IN BAOJI, SHAANXI PROVINCE, CHIAN

XU Gang

Volume 23 Issue 1

Feb. 2017

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XU Gang, 2017. DISCUSSION ON THE SCALE PROBLEM IN REMOTE SENSING DATA FOR LOESS LANDSLIDE SURVEY IN BAOJI, SHAANXI PROVINCE, CHIAN. Journal of Geomechanics, 23 (1): 88-96.

Citation:

XU Gang, 2017. DISCUSSION ON THE SCALE PROBLEM IN REMOTE SENSING DATA FOR LOESS LANDSLIDE SURVEY IN BAOJI, SHAANXI PROVINCE, CHIAN. Journal of Geomechanics, 23 (1): 88-96.

Citation:

XU Gang, 2017. DISCUSSION ON THE SCALE PROBLEM IN REMOTE SENSING DATA FOR LOESS LANDSLIDE SURVEY IN BAOJI, SHAANXI PROVINCE, CHIAN. Journal of Geomechanics, 23 (1): 88-96.

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DISCUSSION ON THE SCALE PROBLEM IN REMOTE SENSING DATA FOR LOESS LANDSLIDE SURVEY IN BAOJI, SHAANXI PROVINCE, CHIAN

XU Gang^{1, 2
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1.
Key Laboratory of Neotectonic Movement & Geohazard, Beijijng 100081, China
2.
Ministry of Land and Resources/Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijijng 100081, China

More Information

Received: 2016-09-18
Published: 2017-02-01

Abstract

Abstract

The content and accuracy are determined by the scale of remote sensing(RS) data, the RS Processing molds or methods vary with Remote sensing data scale in the same region. Based on the landslide RS survey in Baoji loess area, we discuss the problems that have great relationship with RS scale, such as Mininum regional area of landslide mass in different RS data source, precision measurement of spot area, the best and maxinum mapping scale, comparative analysis of interpretation of RS geological hazards, accuracy evaluation of landslide RS interpretation and so on. The result reveals that when investgating large and medium-sized landslide in Baoji loess area, SPOT-5(2.5 m)Fused image data can be used, and the scale is 1:25000 or 1:50000. Meanwhile, QuickBird(0.61m)Fused image data is used for medium-small landslide and quantitative information calculation on the internal structure of larger landslide, and the scale is 1:5000.
- Loess Landslide,
- Remote Sensing Data,
- Scale in Remote Sensing,
- Precision Problem,
- Object Identity

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References(31)

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