地理学报 ›› 2006, Vol. 61 ›› Issue (1): 26-34.doi: 10.11821/xb200601003

• 生态环境 • 上一篇    下一篇

珠江口红树林湿地演变的遥感分析

黎夏1,3, 刘凯2,3, 王树功4   

  1. 1. 中山大学地理科学与规划学院,广州510275;
    2. 中国科学院广州地球化学研究所,广州510640;
    3. 广州地理研究所,广州510070;
    4. 中山大学环境科学研究所,广州510275
  • 收稿日期:2005-04-10 修回日期:2005-08-02 出版日期:2006-01-25 发布日期:2010-09-06
  • 作者简介:黎夏 (1962-), 男, 教授, 博士生导师, 中国地理学会会员。主要从事遥感和地理信息系统研究。在国内外刊物上发表112篇学术论文。E-mail: lixia@mail.sysu.edu.cn
  • 基金资助:

    广东省自然科学基金项目 (031647); 国家杰出青年基金资助项目(40525002); “985工程”GIS与遥感的地学应用科技创新平台项目

Mangrove Wetland Changes in the Pearl River Estuary Using Remote Sensing

LI Xia1,3, LIU Kai2,3, WANG Shugong4   

  1. 1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;
    2. Guangzhou Institute of Geochemistry, CAS, Guangzhou 510640, China;
    3. Guangzhou Institute of Geography, Guangzhou 510070, China;
    4. Institute of Environmental Science, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2005-04-10 Revised:2005-08-02 Online:2006-01-25 Published:2010-09-06
  • Supported by:

    Natural Science Foundation of Guangdong, No. 031647; National Outstanding Youth Foundation of NSF of China, No.40525002; 985 Project of GIS and Remote Sensing for Geosciences from the Ministry of Education of China

摘要:

广东拥有全国面积最大的红树林湿地。但近年来经济的快速发展使得该湿地系统发生了很大的变化。利用多时相的遥感图像和专家系统方法对珠江口红树林湿地的时空变化进行了分析。结合雷达遥感图像,对红树林群落分类及生物量估算进行了研究,改善了单独使用光学遥感的不足。获得了试验区红树林的变化趋势、类型分布及生物量等情况,为红树林湿地的生态保护提供了重要信息和新的监测手段。

关键词: 珠江口, 红树林, 湿地, 雷达遥感

Abstract:

Guangdong in South China has the largest area of mangrove wetlands in China. Mangrove forests have important ecological functions in protecting the environment. However, the mangrove wetlands have been largely lost because of intensified human activities in the study area. Remote sensing can be conveniently used to inventory mangrove forests because field investigation is very difficult. In this study, a knowledge-based system is developed to retrieve spatio-temporal dynamics of mangrove wetlands using multi-temporal remote sensing data. Radar remote sensing data are also used to provide complementary information for the quantitative analysis of mangrove wetlands. Radar remote sensing is able to penetrate mangrove forests and obtain the trunk information about mangrove structures. The integration of radar remote sensing with optical remote sensing can significantly improve the accuracies of classifying mangrove wetland types and estimating wetland biomass.

Key words: Pearl River Estuary, mangrove, wetlands, radar remote sensing, monitoring, classification