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无人机遥感在红树林资源调查中的应用

冯家莉 刘凯 朱远辉 李勇 柳林 蒙琳

热带地理Issue(1):35-42,8.
热带地理Issue(1):35-42,8.

无人机遥感在红树林资源调查中的应用

Application of Unmanned Aerial Vehicles to Mangrove Resources Monitoring

冯家莉 1刘凯 1朱远辉 1李勇 2柳林 1蒙琳3

作者信息

  • 1. 中山大学 地理科学与规划学院/广东省城市化与地理环境空间模拟重点实验室,广州 510275
  • 2. 广州地理研究所/广东省地理空间信息技术与应用公共实验室,广州 510070
  • 3. 辛辛那提大学 地理系,辛辛那提 45221-0131
  • 折叠

摘要

Abstract

The emerging unmanned aerial vehicle (UAV) remote sensing is an important supplement to traditional aerial and satellite remote sensing due to its flexible, fast and cost-effective capability for acquiring very high spatial resolution imagery. In this study, we explored the application of UAV to monitoring mangrove forests. The study area is located in the Yingluo Bay, on the borders between Guangdong and Guangxi Provinces. Using the UAV, we collected aerial photos of the coastal zones of Yingluo Bay, covering an area of 25.29 km2 with three flight missions totaling 2.5 hours. The high-resolution aerial images were first mosaicked and then used for interpretation and classification of mangrove forests. A typical sample plot of the study area was selected to conduct classification of mangrove species using object-oriented classification method with the nearest neighbor classifier. The classification accuracy of visual interpretation of mangrove forests extraction and that of object-oriented nearest neighbor analysis for mangrove species classification were both higher than 90%. We also compared our approach to conventional technology of aerial and satellite remote sensing for monitoring mangrove wetlands. Results suggested that UAV would be a good choice for mangrove research. It is promised that UAV would become a popular and useful tool for researchers and government agencies to contribute to mangrove reservation and management.

关键词

无人机遥感/红树林/英罗港/面向对象分类

Key words

Unmanned Aerial Vehicles/mangrove forests/Yingluo Bay/object-oriented classification

分类

天文与地球科学

引用本文复制引用

冯家莉,刘凯,朱远辉,李勇,柳林,蒙琳..无人机遥感在红树林资源调查中的应用[J].热带地理,2015,(1):35-42,8.

基金项目

国家自然科学基金(41001291);中央高校基本科研业务费项目(13lgpy61);广东省科技计划项目 ()

热带地理

OACSTPCD

1001-5221

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