Change detection of gravel mining on riverbeds from the multi-temporal and high-spatial-resolution formosat-2 imagery

Cheng-Chien Liu, Chjeng-Lun Shieh, Chiao An Wu, Ming Lin Shieh

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Gravel mining from river channels is conducted in many countries around the world, yet ground-based monitoring of these activities requires considerable manpower and is not very effective. Therefore, innovative and effective approaches to monitoring gravel mining are urgently required. Deployed as a high spatial resolution sensor in a daily revisit orbit, Formosat-2 has proved to be an ideal satellite for site surveillance. Using one known event of gravel mining in the Tseng-Wen River, Taiwan, between March 2004 and March 2005, we analysed nine Formosat-2 images taken during this period to summarize three characteristics of gravel mining in the images. Based on these characteristics, a standard procedure for processing Formosat-2 imagery to detect gravel mining is proposed. This procedure is validated against ground truthing collected by an unmanned helicopter flying at low altitude. The evolution of this gravel-mining event in the Tseng-Wen River is described by processing all historical Formosat-2 imagery using the proposed procedure. This standard procedure has been successfully incorporated into the Formosat-2 automatic image processing system and has been used to monitor gravel mining on a daily-basis.

Original languageEnglish
Pages (from-to)1136-1152
Number of pages17
JournalRiver Research and Applications
Volume25
Issue number9
DOIs
Publication statusPublished - 2009 Nov 1

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Gravel
gravel
spatial resolution
imagery
Rivers
Monitoring
monitoring
river channel
Processing
detection
river
Helicopters
image processing
Orbits
Image processing
Satellites
sensor
Sensors

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Water Science and Technology
  • Environmental Science(all)

Cite this

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abstract = "Gravel mining from river channels is conducted in many countries around the world, yet ground-based monitoring of these activities requires considerable manpower and is not very effective. Therefore, innovative and effective approaches to monitoring gravel mining are urgently required. Deployed as a high spatial resolution sensor in a daily revisit orbit, Formosat-2 has proved to be an ideal satellite for site surveillance. Using one known event of gravel mining in the Tseng-Wen River, Taiwan, between March 2004 and March 2005, we analysed nine Formosat-2 images taken during this period to summarize three characteristics of gravel mining in the images. Based on these characteristics, a standard procedure for processing Formosat-2 imagery to detect gravel mining is proposed. This procedure is validated against ground truthing collected by an unmanned helicopter flying at low altitude. The evolution of this gravel-mining event in the Tseng-Wen River is described by processing all historical Formosat-2 imagery using the proposed procedure. This standard procedure has been successfully incorporated into the Formosat-2 automatic image processing system and has been used to monitor gravel mining on a daily-basis.",
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Change detection of gravel mining on riverbeds from the multi-temporal and high-spatial-resolution formosat-2 imagery. / Liu, Cheng-Chien; Shieh, Chjeng-Lun; Wu, Chiao An; Shieh, Ming Lin.

In: River Research and Applications, Vol. 25, No. 9, 01.11.2009, p. 1136-1152.

Research output: Contribution to journalArticle

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