Skip to main content
Top

2021 | OriginalPaper | Chapter

13. The Role of Landsat-8 Multispectral Data in Spill Response: Three Case Studies

Authors : Subir Chowdhury, Catherine Evans, Todd C. Shipman

Published in: Advances in Remote Sensing for Infrastructure Monitoring

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Landsat multispectral imagery has become a valuable resource for decision makers in environmental emergency response over the past three decades. In this chapter, Landsat-8 imagery was primarily utilized to assist spill investigations with three case studies: (1) wastewater spill due to a coal mine dam failure, (2) crude oil and saline produced water spill due to a pipeline leak, and (3) highly saline produced water spill due to a pipeline rupture. In case study 1, an early sign of seepage was detected from a containment pond 6 days prior to the dam failure using an automated endmember detection and abundance estimation method. In case study 2, an early sign of spill was detected more than a year before the spill was reported and time-series surface extent of the spill was quantified based on a simple difference of vegetation indices. In case study 3, spatial-temporal progression of highly saline spill was estimated using moisture indices and a spectral matching technique was used to verify the absence of spill on surface before it was reported. These case studies also utilized Sentinel-2 imagery for better understanding of post-spill remediation process and exemplify how publicly available spaceborne multispectral data might help establish the duration of spill event, reconstruct the spill scenario, and optimize the spill mitigation and prevention control planning.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Boardman, J.W., F.A. Kruse, and R.O. Green. 1995. Mapping target signatures via partial Unmixing of AVIRIS data. In Summaries of JPL airborne earth science workshop, Pasadena, CA, 23–26. Boardman, J.W., F.A. Kruse, and R.O. Green. 1995. Mapping target signatures via partial Unmixing of AVIRIS data. In Summaries of JPL airborne earth science workshop, Pasadena, CA, 23–26.
go back to reference Chowdhury, S., J. Zhang, K. Staenz, and D. Peddle. 2012. Spectral mixture analysis of hyperspectral data using Genetic Algorithm and Spectral Angle Constraint (GA-SAC). In 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, 1–4. Chowdhury, S., J. Zhang, K. Staenz, and D. Peddle. 2012. Spectral mixture analysis of hyperspectral data using Genetic Algorithm and Spectral Angle Constraint (GA-SAC). In 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, 1–4.
go back to reference Chowdhury, S., D.K. Chao, T.C. Shipman, and M.A. Wulder. 2017. Utilization of Landsat data to quantify land-use and land-cover changes related to oil and gas activities in west-Central Alberta from 2005 to 2013. GIScience Remote Sensing 54 (5): 700–720.CrossRef Chowdhury, S., D.K. Chao, T.C. Shipman, and M.A. Wulder. 2017. Utilization of Landsat data to quantify land-use and land-cover changes related to oil and gas activities in west-Central Alberta from 2005 to 2013. GIScience Remote Sensing 54 (5): 700–720.CrossRef
go back to reference Drever, J.I. 1997. The geochemistry of natural waters. Vol. 345. 3rd ed. Englewood Cliffs: Prentice-Hall. Drever, J.I. 1997. The geochemistry of natural waters. Vol. 345. 3rd ed. Englewood Cliffs: Prentice-Hall.
go back to reference Gruninger, J., A. Ratkowski, and M. Hoke. 2004. The sequential maximum angle convex cone (SMACC) Endmember model. In Proc. SPIE—Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral imagery X, vol. 5425, 1–14.CrossRef Gruninger, J., A. Ratkowski, and M. Hoke. 2004. The sequential maximum angle convex cone (SMACC) Endmember model. In Proc. SPIE—Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral imagery X, vol. 5425, 1–14.CrossRef
go back to reference Harris, J.R., P. Ponomarev, S. Shang, P. Budkewitsch, and D. Rogge. 2006. A comparison of automatic and supervised methods for extracting lithological Endmdmbers from Hyperspectral data: Application to lithological mapping in southern Baffin Island, Nunavut. In Current research, part C, geological survey of Canada, paper 2006–C4, 1–19. Harris, J.R., P. Ponomarev, S. Shang, P. Budkewitsch, and D. Rogge. 2006. A comparison of automatic and supervised methods for extracting lithological Endmdmbers from Hyperspectral data: Application to lithological mapping in southern Baffin Island, Nunavut. In Current research, part C, geological survey of Canada, paper 2006–C4, 1–19.
go back to reference Kruse, F.A., A.B. Lefkoff, J.W. Boardman, K.B. Heidebrecht, A.T. Shapiro, P.J. Barloon, and A.F.H. Goetz. 1993. The spectral image processing system (SIPS)—Interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment 44 (2–3): 145–163.CrossRef Kruse, F.A., A.B. Lefkoff, J.W. Boardman, K.B. Heidebrecht, A.T. Shapiro, P.J. Barloon, and A.F.H. Goetz. 1993. The spectral image processing system (SIPS)—Interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment 44 (2–3): 145–163.CrossRef
go back to reference Mielke, C., N. Bosche, C. Rogass, H. Kaufmann, C. Gauert, and M. de Wit. 2014. Spaceborne mine waste mineralogy monitoring in South Africa, applications for modern push-broom missions: Hyperion/OLI and EnMAP/Sentinel-2. Remote Sensing 6 (8): 6790–6816.CrossRef Mielke, C., N. Bosche, C. Rogass, H. Kaufmann, C. Gauert, and M. de Wit. 2014. Spaceborne mine waste mineralogy monitoring in South Africa, applications for modern push-broom missions: Hyperion/OLI and EnMAP/Sentinel-2. Remote Sensing 6 (8): 6790–6816.CrossRef
go back to reference Rouse, J.W., R.H. Haas, J.A. Scheel, and D.W. Deering. 1974. Monitoring vegetation Systems in the Great Plains with ERTS. In Proceedings, 3rd Earth Resource Technology Satellite (ERTS) Symposium, vol. 1, 48–62. Rouse, J.W., R.H. Haas, J.A. Scheel, and D.W. Deering. 1974. Monitoring vegetation Systems in the Great Plains with ERTS. In Proceedings, 3rd Earth Resource Technology Satellite (ERTS) Symposium, vol. 1, 48–62.
go back to reference Shang, J., R. Neville, K. Staenz, L. Sun, B. Morris, and P. Howarth. 2008. Comparison of fully constrained and weakly constrained Unmixing through mine-tailing composition mapping. Canadian Journal of Remote Sensing 34 (S1): S82–S91. Shang, J., R. Neville, K. Staenz, L. Sun, B. Morris, and P. Howarth. 2008. Comparison of fully constrained and weakly constrained Unmixing through mine-tailing composition mapping. Canadian Journal of Remote Sensing 34 (S1): S82–S91.
go back to reference Wilson, E.H., and S.A. Sader. 2002. Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment 80: 385–396.CrossRef Wilson, E.H., and S.A. Sader. 2002. Detection of forest harvest type using multiple dates of Landsat TM imagery. Remote Sensing of Environment 80: 385–396.CrossRef
go back to reference Winter, M.E. 1999. N-FINDR: An algorithm for fast autonomous spectral end-member determination in Hyperspectral data. In Proc. SPIE Conf. Imaging Spectrom., Pasadena, CA, 266–275. Winter, M.E. 1999. N-FINDR: An algorithm for fast autonomous spectral end-member determination in Hyperspectral data. In Proc. SPIE Conf. Imaging Spectrom., Pasadena, CA, 266–275.
Metadata
Title
The Role of Landsat-8 Multispectral Data in Spill Response: Three Case Studies
Authors
Subir Chowdhury
Catherine Evans
Todd C. Shipman
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-59109-0_13

Premium Partner