Automated assessment of the extent of mangroves using multispectral satellite remote sensing data in Google Earth Engine

被引：0
|
作者：
Sarkar, Rupsa [1 ]
Gnanappazham, L. [2 ]
Pandey, A. C. [1 ]
机构：
[1] Cent Univ Jharkhand, Dept Geoinformat, Ranchi 835205, Jharkhand, India
[2] Indian Inst Space Sci & Technol, Thiruvananthapuram, India
来源：
CURRENT SCIENCE | 2023年 / 125卷 / 03期
关键词：
Automated mapping; cloud platform; man-grove ecosystem; satellite data; TEXTURE ANALYSIS; VEGETATION; FORESTS; CLASSIFICATION; ECOSYSTEMS; INDEX;
D O I：
10.18520/cs/v125/i3/299-308
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This study on the automatic assessment of mangroves uses geometric, textural parameters and vegetation indices derived from Landsat 8 images utilizing the Google Earth Engine. The extent of Indian mangroves is estimated as 5581 sq. km for 2019, with an overall accuracy (OA) of 86% and kappa coefficient (k) of 0.77. Among the five regions studied, maximum OA was obtained for Mumbai (94%; k = 0.89) and minimum for Godavari (81.625%; k = 0.66). Such automated mapping will benefit effective mangrove monitoring and management with a near real-time accurate estimation of mangroves.
引用
收藏
页码：299 / 308
页数：10
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