CAJ | 학술논문

低空无人机（UAV，Unmanned Aerial Vehicles）遥感系统具有数据采集灵活、低成本且可快速获取超高分辨率影像的特色，是传统航空遥感和卫星遥感的重要补充。以广东省和广西壮族自治区交界处的英罗港港湾两侧为研究区域，将无人机遥感系统用于红树林资源的遥感调查，通过无人机航拍获取高分辨率影像，并且使用拼接的影像和目视解译方法提取红树林空间分布信息，进一步选择典型研究样地，采用面向对象的最近邻分类方法对红树林树种类型进行分类研究，并对比综述了无人机遥感和常规航空航天遥感技术对红树林资源调查监测的优缺点，无人机遥感系统非常适用于红树林资源调查。通过2 h 30 min的3架次无人机航飞工作，获取了研究区域25.29 km2的无人机影像，基于无人机影像和面向对象遥感分类方法提取的红树林空间分布信息精度超过了90%。未来无人机遥感系统将可成为调查和监测红树林资源的重要技术手段，可为相关管理部门对红树林资源的保护、管理、开发等方面的工作提供基础信息和技术支持。
저공무인궤（UAV，Unmanned Aerial Vehicles）요감계통구유수거채집령활、저성본차가쾌속획취초고분변솔영상적특색，시전통항공요감화위성요감적중요보충。이광동성화엄서장족자치구교계처적영라항항만량측위연구구역，장무인궤요감계통용우홍수림자원적요감조사，통과무인궤항박획취고분변솔영상，병차사용병접적영상화목시해역방법제취홍수림공간분포신식，진일보선택전형연구양지，채용면향대상적최근린분류방법대홍수림수충류형진행분류연구，병대비종술료무인궤요감화상규항공항천요감기술대홍수림자원조사감측적우결점，무인궤요감계통비상괄용우홍수림자원조사。통과2 h 30 min적3가차무인궤항비공작，획취료연구구역25.29 km2적무인궤영상，기우무인궤영상화면향대상요감분류방법제취적홍수림공간분포신식정도초과료90%。미래무인궤요감계통장가성위조사화감측홍수림자원적중요기술수단，가위상관관리부문대홍수림자원적보호、관리、개발등방면적공작제공기출신식화기술지지。
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.