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A mangrove recognition index for remote sensing of mangrove forest from space.pdf>. 75. Zhang, Xuehong, Paul M. Treitz, Dongmei Chen, Chang Quan, Lixin Shi and Xinhui Li (2017). Mapping mangrove forests using multi-tidal remotely-sensed data and a decision-tree-based procedure, International Journal of Applied Earth Observation and Geoinformation, 62: 201-214. AN OVERVIEW OF USING SATELLITE IMAGE TO ESTABLISH MANGROVE FOREST MAP Nguyen Trong Cuong1, Tran Quang Bao2, Pham Van Duan1, Pham Ngoc Hai3, Nguyen Hai Hoa1 1Vietnam National University of Forestry 2Vietnam Administration of Forestry 3Forest Inventory and Planning Institute SUMMARY This article synthesizes a number of studies to provide an overview of the application of remote sensing to establish mangrove maps in the world under two main topics: image materials and methods, indices to classify mangroves. The results show that studies on mapping mangrove forests usually use medium resolution remote sensing images, a few studies use high-resolution remote sensing images or aerial photography. In terms of the classification method, the development of remote sensing technology leads to the abundance of classification methods, and researches on mangrove forests often use supervised classification methods, commonly used techniques are vegetable indicators. By exploiting the characteristics of the mangrove ecosystem and the characteristics of remote sensing, the authors have developed different indices for classifying mangroves from other vegetation. There are 8 effective indices of mangrove forests, which are statistically calculated, all indices have different accuracy and advantages compared to the others. The use of each index should be based on mangrove condition, area, image and purpose of the map. Keywords: mangrove classification, mangrove classification index, mangrove forest, mangrove forest mapping, using of satellite image. Ngày nhận bài : 22/4/2021 Ngày phản biện : 26/5/2021 Ngày quyết định đăng : 04/6/2021