Remote Sensing Applications and Decision Support

Paleochannel delineation using Landsat 8 OLI and Envisat ASAR image fusion techniques in Cholistan desert, Pakistan

[+] Author Affiliations
Zaheer Ul Islam, Javed Iqbal, Junaid Aziz Khan

National University of Sciences and Technology, Institute of Geographical Information Systems, Sector H-12, Islamabad 44000, Pakistan

Waqas A. Qazi

Institute of Space Technology, Geospatial Research and Education Lab, Department of Space Science, Islamabad Highway, Islamabad 44000, Pakistan

J. Appl. Remote Sens. 10(4), 046001 (Oct 13, 2016). doi:10.1117/1.JRS.10.046001
History: Received January 8, 2016; Accepted September 20, 2016
Text Size: A A A

Abstract.  Sustainability of desert ecosystem is highly dependent upon water availability from different sources. Paleochannels are important sources of groundwater, and exploiting such resources involves their identification/mapping and subsequent investigation for fresh groundwater. A study in which multisensor (optical/infrared Landsat 8 OLI and active microwave Envisat ASAR) images of the Cholistan desert of Pakistan were processed and analyzed to identify and map Hakra River paleochannels is presented. Radiometrically corrected optical and synthetic aperture radar datasets were fused using principal components image fusion method. The paleochannels were extracted from the analysis of this fused output, and normalized difference vegetative index analysis of Landsat 8 OLI atmospheric corrected images was used as supporting information. Identification and alignment of an identified paleochannel was validated with geophysical ground measurements (electrical resistivity and conductivity surveys) and historical records. The presence of high apparent electrical resistivity with corresponding low soil water conductivity values intersects well with the paleochannels identified from the remote sensing data. The results were also confirmed with historical evidence such as old wells beside forts and proposed ground water harvesting sites. The proposed methodology in this study could be adopted in other parts of the world for mapping of paleochannels.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Zaheer Ul Islam ; Javed Iqbal ; Junaid Aziz Khan and Waqas A. Qazi
"Paleochannel delineation using Landsat 8 OLI and Envisat ASAR image fusion techniques in Cholistan desert, Pakistan", J. Appl. Remote Sens. 10(4), 046001 (Oct 13, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.046001


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.