Google Earth Engine Based Three Decadal Landsat Imagery Analysis for Mapping of Mangrove Forests and Its Surroundings in the Trat Province of Thailand

• 作者: Asamaporn Sitthi Dario Simonetti Henry Skupek Jaturong Som-ard Kumron Leadprathom Sirintornthep Towprayoon Sukan Pungkul Uday Pimple Valery Gond
• 来源期刊: 电脑和通信(英文)
• 学科: 医学
• 关键词: Google Earth ENGINE Landsat Random FOREST MANGROVE FOREST LAND Use LAND Cover Change
• 年，卷（期）: dnhtxyw_2018,（1）
• 页码范围: 247-264
• 页数: 18页
• 分类号: R73

摘要

Monitoring and understanding the changes in mangrove ecosystems and their surroundings are required to determine how mangrove ecosystems are constantly changing while influenced by anthropogenic, and natural drivers. Cosistency in high spatial resolution (30 m) satellite and high performance computing facilities are limiting factors to the process, with storage and analysis requirements. With this, we present the Google Earth Engine (GEE) based approach for long term mapping of mangrove forests and their surroundings. In this study, we used a GEE based approach: 1) to create atmospheric contamination free data from 1987-2017 from different Landsat satellite imagery;and 2) evaluating the random forest classifier and post classification change detection method. The obtained overall accuracy for the years 1987 and 2017 was determined to be 0.87 and 0.96, followed by a Kappa coefficient 0.80 and 0.94. The change detection results revealed a significant decrease in the agricultural area, while there was an increase in mangrove forest, shrimp/fish farm, and bareland area. The results suggest that interconversion of land use and land cover is affecting the landscape dynamics within the study area.