Version 1
: Received: 17 October 2018 / Approved: 18 October 2018 / Online: 18 October 2018 (05:10:09 CEST)
How to cite:
Siddiqui, M.D.; Zaidi, A.Z.; Abdullah, M. Performance Assessment of Newly Developed Seaweed Enhancing Index. Preprints2018, 2018100399. https://doi.org/10.20944/preprints201810.0399.v1
Siddiqui, M.D.; Zaidi, A.Z.; Abdullah, M. Performance Assessment of Newly Developed Seaweed Enhancing Index. Preprints 2018, 2018100399. https://doi.org/10.20944/preprints201810.0399.v1
Siddiqui, M.D.; Zaidi, A.Z.; Abdullah, M. Performance Assessment of Newly Developed Seaweed Enhancing Index. Preprints2018, 2018100399. https://doi.org/10.20944/preprints201810.0399.v1
APA Style
Siddiqui, M.D., Zaidi, A.Z., & Abdullah, M. (2018). Performance Assessment of Newly Developed Seaweed Enhancing Index. Preprints. https://doi.org/10.20944/preprints201810.0399.v1
Chicago/Turabian Style
Siddiqui, M.D., Arjumand Z. Zaidi and Muhammad Abdullah. 2018 "Performance Assessment of Newly Developed Seaweed Enhancing Index" Preprints. https://doi.org/10.20944/preprints201810.0399.v1
Abstract
Seaweeds are regarded as one of the valuable coastal resources because of their usage in human food, cosmetics, and other industrial items. They also play a significant role in providing nourishment, shelter, and breeding grounds for fish and many other sea species. This study introduces a newly developed seaweed enhancing index (SEI) using spectral bands of near-infrared (NIR) and shortwave infrared (SWIR) of Landsat 8 satellite data. The seaweed patches in the coastal waters of Karachi, Pakistan were mapped using SEI, and its performance was compared with other commonly used indices - Normalized Difference Vegetation Index (NDVI) and Floating Algae Index (FAI). The accuracy of the mapping results obtained from SEI, NDVI, and FAI was checked with field verified seaweed locations. The purpose of the field surveys was to validate the results of this study and to evaluate the performance of SEI with NDVI and FAI. The performance of SEI was found better than NDVI and FAI in enhancing submerged patches of the seaweed pixels what other indices failed to do.
Keywords
floating algae index (FAI); normalized difference vegetation index (NDVI); remote sensing; seaweed enhancing index (SEI); seaweed
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Ujjwal yadav
The commenter has declared there is no conflict of interests.
Commenter: Ujjwal yadav
The commenter has declared there is no conflict of interests.