0
Research Papers

Effect on specific crop mapping using WorldView-2 multispectral add-on bands: soft classification approach

[+] Author Affiliations
Priyadarshi Upadhyay, Sanjay Kumar Ghosh

Indian Institute of Technology, Roorkee, India

Anil Kumar, Partha Sarathi Roy

Indian Institute of Remote Sensing, Dehradun, India

Ian Gilbert

DigitalGlobe, 1601 Dry Creek Drive, Suite 260, Longmont, Colorado 80503

J. Appl. Remote Sens. 6(1), 063524 (Apr 11, 2012). doi:10.1117/1.JRS.6.063524
History: Received March 15, 2011; Revised February 10, 2012; Accepted February 20, 2012
Text Size: A A A

Abstract.  In this study, new add-on bands in a multispectral dataset of WorldView-2, DigitalGlobe’s second next-generation satellite, have been evaluated. For extraction of a specific agriculture crop at a time, WorldView-2 multispectral single, as well as two-date data sets, were used. For this purpose, a class-based sensor independent spectral band ratio normalized difference vegetation index (NDVI) (CBSI-NDVI) and its possibilistice fuzzy classification approach was used. Different agriculture crops selected for the study were sugarcane, late wheat, cauliflower, berseem (fodder), early wheat and ratoon. It is found that bands four and eight with temporal data are good for extracting sugarcane, while bands four, eight and five, seven with temporal data are suitable for late wheat and bands four and eight work well for cauliflower. Similarly, bands five, seven and five, eight with temporal data are good for extracting berseem (fodder), bands four, eight work for early wheat with temporal data and for ratoon four, six single date or four, six and four, eight temporal data. This suitability of bands has been observed with respect to a maximum membership value difference, as well as maximum entropy difference, between the two closest agriculture crops. Thus, it can be concluded that existing bands five, seven and new bands four, six, eight in WorldView-2 are important for identifying and mapping crops mentioned in this study. This indicates new bands, especially four, six, eight introduced in WorldView-2, are more effective than existing bands in QuickBird for mapping specific crops.

Figures in this Article
© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Priyadarshi Upadhyay ; Anil Kumar ; Partha Sarathi Roy ; Sanjay Kumar Ghosh and Ian Gilbert
"Effect on specific crop mapping using WorldView-2 multispectral add-on bands: soft classification approach", J. Appl. Remote Sens. 6(1), 063524 (Apr 11, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063524


Access This Article
Sign In to Access Full Content
Please Wait... Processing your request... Please Wait.
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
 
Your Session has timed out. Please sign back in to continue.
Sign In to Access Full Content

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

PubMed Articles
Advertisement


Buy this article ($18 for members, $25 for non-members).
Sign In