Research Papers

Estimating land cover class area from remote sensing classification

[+] Author Affiliations
Hasmukh J. Chauhan, Manoj K. Arora, Anshul Agarwal

Department of Civil Engineering, Indian Institute of Technology Roorkee, Civil Engineering, Roorkee, Uttrakhand 247667 India

J. Appl. Remote Sens. 2(1), 023514 (April 16, 2008). doi:10.1117/1.2919116
History: Received August 3, 2007; Revised February 14, 2008; Accepted April 3, 2008; April 16, 2008; Online April 16, 2008
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Abstract

Accurate estimation of areas covered by land use land cover classes is central to many resource management and monitoring programs, crop yield forecasting, forest and environmental management. In this paper, various techniques of estimating areas of land cover classes derived from remote sensing image classification have been discussed. A comparative study has been conducted to examine the accuracy and consistency of the area estimated from five error matrix based techniques. The results show that 'direct' and 'additive' estimators produce the most accurate and consistent results. The 'map marginal proportion based estimator' and 'inverse estimator' produce accurate results when the testing sample size is large.

© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Hasmukh J. Chauhan ; Manoj K. Arora and Anshul Agarwal
"Estimating land cover class area from remote sensing classification", J. Appl. Remote Sens. 2(1), 023514 (April 16, 2008). ; http://dx.doi.org/10.1117/1.2919116


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