Please use this identifier to cite or link to this item:
Nhan đề: Mangrove Mapping and Change Detection Using Multi-temporal Landsat imagery in Hai Phong city, Vietnam
Tác giả: Dat, Pham Tien
Yoshino, Kunihiko
Từ khoá: Mangrove change
Satellite remote sensing
Object-based classification
Landsat imagery
Năm xuất bản: 25-Mar-2015
Tùng thư/Số báo cáo: 17th - 19th March The International Symposium on Cartography in Internet and Ubiquitous Environments 2015, Tokyo;page 1-14
Tóm tắt: Mangroves play an important role in protecting dyke systems and defend against the impact of tropical storms. However, these forests are under severe threat due to rapid population growth, insufficient governance, poor planning, and uncoordinated economic development. Hai Phong city is located on the Northern coast of Vietnam where the mangroves are distributed in zone I and zone II of the four mangrove zones in Vietnam. This city is vulnerable to rising sea levels associated with climate change and tropical cyclones, which are forecasted to become more prevalent and stronger as climate change intensifies. The objectives of this research were to map the locations of mangrove and to analyze their change in Hai Phong, Vietnam from 1989 to 2013 using different LANDSAT sensors including TM, ETM+ and OLI. Image segmentation was used to improve the accuracy assessment of the post satellite image processing. Moreover, Geographic Information System (GIS) and Remote Sensing data were utilized to analyze how the mangroves had changed throughout the period 1989-2013. The findings of this research showed mangrove loss from 1989 to 2001 and gain from 2001 to 2013. The overall accuracy of satellite imagery processingfor the year 2013 was 83% and the Kappa coefficient was 0.81. This research indicates the potential for use of multi-temporal LANDSAT data together with image segmentation and a GIS approach for mapping mangrove forest in the coastal zone
Định danh:
Appears in Collections:Agriculture and rural development

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.