Journal Title
Title of Journal: J Indian Soc Remote Sens
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Abbravation: Journal of the Indian Society of Remote Sensing
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Authors: Keivan Kabiri Biswajeet Pradhan Helmi Zulhaidi Mohd Shafri Shattri Bin Mansor Kaveh SamimiNamin
Publish Date: 2013/07/09
Volume: 41, Issue: 4, Pages: 797-806
Abstract
Diffuse attenuation coefficient k d is a critical parameter for benthic habitat mapping using remotely sensed data This research attempted to develop a new approach to estimate k d in blue and green bands of QuickBird satellite image based on the integration of Lyzenga’s method and updated NASAk d 490 algorithm To do this the Lyzenga’s method was utilized to determine the ratio of k d in different bands of QuickBird satellite image Additionally NASAk d 490 algorithm was applied to determine k d 490 by using remotely sensed reflectance values of blue R rs Blue and green R rs Green bands in each pixel of QuickBird satellite image Since the aforementioned algorithm has been developed for other types of sensors an approach using weighted mean value of parameters for SeaWiFS MERIS VIIRS and OCTS sensors were employed to estimate parameter values for QuickBird image After determining the k d 490 values as k d for blue band the k d values for green and red bands were subsequently obtained by using Lyzenga’s method Then Mumby and Edwards’ method was employed as evidence to evaluate the accuracy of the results achieved from newly developed approach Eventually the maximum likelihood classifier was implemented during pre and post correction steps to examine the capability of the proposed approach The final results proved to be consistent in the areas deeper than 2 m between estimated k d values using the proposed approach and the results obtained from Mumby and Edwards’ method On the other hand the values estimated for extremely shallow areas seem to be overestimated Furthermore results demonstrated an increment of ~16 in the overall accuracy of the classificationThis research is fully supported by the University Putra Malaysia Research Grant UPMRUGS project grant number 0501111283RU with vote umber 9199892 The authors are grateful to anonymous reviewer for providing very helpful comments on the previous version of the manuscript
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