Journal of Marine Science and Technology

Journal of Marine Science and Technology

Comparison of plant indices to identify mangrove vegetation areas using Landsat images

Document Type : Original Manuscript

Authors
1 Department of Marine Biology, Faculty of Marine Science and Oceanography, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.
2 Department of Gography, Faculty of Humanities, Golestan University, Gorgan, Iran.
Abstract
The increasing application of remote sensing for mangrove mapping and monitoring is practical for sustainable management of the biological resources. The emergence of several vegetation indices (VIs) has certainly given significant impacts on mangrove and other forest mappings. In this study, four different vegetation indices including Normalized Different Vegetation Index (NDVI), Simple Ratio (SR), Soil Adjusted Vegetation Index (SAVI) and Triangular Vegetation Index (TVI) were compared to discover a suitable vegetation index for identifying mangrove area in Nayband bay, Boushehr, Iran and using landsat imagery with 30-m from 2012. Maximum Likelihood Classifier (MLC) was used to classify Mangrove and NonMangrove area. The results demonstrated that the best accuracy (96.85%) was from combination between 7 landsats spectral bands and some vegetation indices including NDVI and SAVI.
Keywords

Subjects


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Volume 22, Issue 2
Spring 2023
Pages 18-26

  • Receive Date 08 January 2017
  • Revise Date 16 September 2018
  • Accept Date 16 September 2018
  • Publish Date 22 June 2023