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
相关论文
共 50 条
  • [41] Detecting Land Use Changes in Ordos City Using the Google Earth Engine Remote Sensing Cloud Platform
    Ye, Zhigang
    Yin, Shan
    Wang, Yong
    International Journal of Agricultural and Environmental Information Systems, 2025, 16 (01)
  • [42] Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine
    Zeng, Hongwei
    Wu, Bingfang
    Zhang, Ning
    Tian, Fuyou
    Phiri, Elijah
    Musakwa, Walter
    Zhang, Miao
    Zhu, Liang
    Mashonjowa, Emmanuel
    REMOTE SENSING, 2019, 11 (24)
  • [43] Application of Google Earth on the Visualization of Satellite Remote Sensing Products of the South China Sea
    Xu, Chao
    Xie, Qiang
    Li, Sha
    2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 2, 2011, : 156 - 159
  • [44] Investigation of Water Quality in Izmir Bay With Remote Sensing Techniques Using NDCI on Google Earth Engine Platform
    Yilmaz, Osman Salih
    Acar, Ugur
    Sanli, Fusun Balik
    Gulgen, Fatih
    Ates, Ali Murat
    TRANSACTIONS IN GIS, 2025, 29 (01)
  • [45] Identifying Subsurface Drainage using Satellite Big Data and Machine Learning via Google Earth Engine
    Cho, Eunsang
    Jacobs, Jennifer M.
    Jia, Xinhua
    Kraatz, Simon
    WATER RESOURCES RESEARCH, 2019, 55 (10) : 8028 - 8045
  • [46] Long-Term and Bimonthly Estimation of Lake Water Extent Using Google Earth Engine and Landsat Data
    Zhang, Tao
    Wang, Hongxing
    Hu, Shanshan
    You, Shucheng
    Yang, Xiaomei
    REMOTE SENSING, 2022, 14 (12)
  • [47] GIS based flood extent assessment using MODIS satellite remote sensing and spatial analysis
    Akram, Afshin
    Tahir, Arifa
    Alam, Asifa
    FRONTIERS IN EARTH SCIENCE, 2024, 12
  • [48] Spatial-Temporal Assessment of Drought in Hoa Vang district, Da Nang City, Vietnam Using Remote Sensing and Google Earth Engine
    Le Ngoc Hanh
    Nguyen Hoang Son
    Le Phuc Chi Lang
    Tran Thi An
    Nguyen Van An
    Truong Phuoc Minh
    NATIONAL CONFERENCE ON GIS APPLICATION, 2024, 1345
  • [49] EXPLOITATION OF ESA AND NASA HERITAGE REMOTE SENSING DATA FOR MONITORING THE HEAT ISLAND EVOLUTION IN CHENNAI WITH THE GOOGLE EARTH ENGINE
    Cecinati, Francesca
    Amitrano, Donato
    Leoncio, Lemia Benevides
    Walugendo, Elvis
    Guida, Raffaella
    Iervolino, Pasquale
    Natarajan, Sukumar
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 6328 - 6331
  • [50] Errors in Time-Series Remote Sensing and an Open Access Application for Detecting and Visualizing Spatial Data Outliers Using Google Earth Engine
    Peter, Brad G.
    Messina, Joseph P.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (04) : 1165 - 1174
12345