Spatiotemporal-based automated inundation mapping of Ramsar wetlands using Google Earth Engine

Manish Kumar Goyal; Shivukumar Rakkasagi; Soumya Shaga; Tian C Zhang; Rao Y Surampalli; Saket Dubey

doi:10.1038/s41598-023-43910-4

Spatiotemporal-based automated inundation mapping of Ramsar wetlands using Google Earth Engine

Sci Rep. 2023 Oct 13;13(1):17324. doi: 10.1038/s41598-023-43910-4.

Authors

Manish Kumar Goyal¹, Shivukumar Rakkasagi², Soumya Shaga², Tian C Zhang³, Rao Y Surampalli⁴, Saket Dubey^{2

5}

Affiliations

¹ Department of Civil Engineering, Indian Institute of Technology, Indore, India. mkgoyal@iiti.ac.in.
² Department of Civil Engineering, Indian Institute of Technology, Indore, India.
³ Department of Civil and Environmental Engineering, University of Nebraska, Lincoln, NE, USA.
⁴ Global Institute for Energy, Environment, and Sustainability, Lenexa, KS, USA.
⁵ School of Infrastructure, Indian Institute of Technology, Bhubaneswar, India.

Abstract

Wetlands are one of the most critical components of an ecosystem, supporting many ecological niches and a rich diversity of flora and fauna. The ecological significance of these sites makes it imperative to study the changes in their inundation extent and propose necessary measures for their conservation. This study analyzes all 64 Ramsar sites in China based on their inundation patterns using Landsat imagery from 1991 to 2020. Annual composites were generated using the short-wave infrared thresholding technique from June to September to create inundation maps. The analysis was carried out on each Ramsar site individually to account for its typical behavior due to regional geographical and climatic conditions. The results of the inundation analysis for each site were subjected to the Mann-Kendall test to determine their trends. The analysis showed that 8 sites exhibited a significantly decreasing trend, while 14 sites displayed a significantly increasing trend. The accuracy of the analysis ranged from a minimum of 72.0% for Hubei Wang Lake to a maximum of 98.0% for Zhangye Heihe Wetland National Nature Reserve. The average overall accuracy of the sites was found to be 90.0%. The findings emphasize the necessity for conservation strategies and policies for Ramsar sites.