A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Islan
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RESEARCH ARTICLE
A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf Keivan Kabiri & Biswajeet Pradhan & Helmi Zulhaidi Mohd Shafri & Shattri Bin Mansor & Kaveh Samimi-Namin
Received: 2 February 2013 / Accepted: 14 May 2013 # Indian Society of Remote Sensing 2013
Abstract Diffuse attenuation coefficient (kd) is a critical parameter for benthic habitat mapping using remotely sensed data. This research attempted to develop a new approach to estimate kd in blue and green bands of QuickBird satellite image based on the integration of Lyzenga’s method and updated NASA-kd490 algorithm. To do this, the Lyzenga’s method was utilized to determine the ratio of kd in different bands of QuickBird satellite image. Additionally, NASA-kd490 algorithm was applied to determine kd490 by using remotely sensed reflectance values of blue (RrsBlue) and green (RrsGreen) 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 K. Kabiri : B. Pradhan (*) : H. Z. M. Shafri : S. B. Mansor Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, 43400 Serdang, Malaysia e-mail: [email protected] B. Pradhan e-mail: [email protected] K. Kabiri : K. Samimi-Namin Department of Satellite Oceanography, Iranian National Institute for Oceanography, P.O. Box 14155-4781, Tehran, Iran K. Samimi-Namin Netherlands Centre for Biodiversity Naturalis, P.O. Box 9517, 2300 RA Leiden, the Netherlands
employed to estimate parameter values for QuickBird image. After determining the kd490 values as kd for blue band, the kd 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 kd 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 classification. Keywords Diffuse attenuation coefficient . Remote sensing . QuickBird . Benthic habitats . NASA-kd490
Introduction Regular mapping the benthic habitats and particularly coral reefs is a significant necessity for marine biologists and managers. Direct field observations such as SCUBA diving and snorkelling for mapping benthic components is considered as the most accurate method but also most expensive and time consuming one (Kabiri et al.
J Indian Soc Remote Sens
2012a). It seems it is necessary to employ oth
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