Characterization of Deep Tunneling Activity through Remote-Sensing Techniques

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This work is a case study demonstrating the uses of multispectral and multi-temporal imagery to characterize deep tunneling activity. A drainage tunnel excavation in Quincy, MA is the case locality. Data used are aerial photographs (digitized) and Daedalus 3600 MSS image data that were collected in July and October of 1994. Analysis of the data includes thermal characterization, spectral characterization, multi-temporal analysis, and volume estimation using digital DEM generation. The results demonstrate the type of information that could be generated by multispectral, multi-temporal data if the study locality were a clandestine excavation site with restricted surface access.

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R. G. Best, P. J. Etzler, and J. D. Bloom October 1, 1997.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 16 times . More information about this article can be viewed below.

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Description

This work is a case study demonstrating the uses of multispectral and multi-temporal imagery to characterize deep tunneling activity. A drainage tunnel excavation in Quincy, MA is the case locality. Data used are aerial photographs (digitized) and Daedalus 3600 MSS image data that were collected in July and October of 1994. Analysis of the data includes thermal characterization, spectral characterization, multi-temporal analysis, and volume estimation using digital DEM generation. The results demonstrate the type of information that could be generated by multispectral, multi-temporal data if the study locality were a clandestine excavation site with restricted surface access.

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Medium: P; Size: vp.

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OSTI as DE00012495

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  • Journal Name: Journal of Environmental & Engineering Geophysics; Other Information: Submitted to Journal of Environmental & Engineering Geophysics

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  • Report No.: DOE/NV/11718--164
  • Grant Number: AC08-96NV11718
  • Office of Scientific & Technical Information Report Number: 12495
  • Archival Resource Key: ark:/67531/metadc624284

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  • October 1, 1997

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  • June 16, 2015, 7:43 a.m.

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  • March 29, 2016, 4:11 p.m.

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R. G. Best, P. J. Etzler, and J. D. Bloom. Characterization of Deep Tunneling Activity through Remote-Sensing Techniques, article, October 1, 1997; United States. (digital.library.unt.edu/ark:/67531/metadc624284/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.