极地研究2017，Vol.29Issue(4)：436-445,10.DOI:10.13679/j.jdyj.2017.4.436
基于无人机观测的北极冰面融池及冰面粗糙度信息提取方法研究
STUDY ON THE METHOD OF EXTRACTING ARCTIC MELT POND AND ROUGHNESS INFORMATION ON SEA ICE SURFACE BASED ON UAV OBSERVATION
摘要
Abstract
Arctic melt pond over sea ice surface is of great significance in the study of Arctic sea ice mass balance and heat and salt balances in the ocean mixed layer. In order to obtain accurate melt pond fraction, this paper proposes a method for extracting Arctic melt pond and roughness information from the sea ice surface based on unmanned aerial vehicle (UAV) observations. We made UAV observations over the sea ice surface in the Canada basin during the 7th Chinese National Arctic Research Expedition. Improvment on the dark-channel- prior defogging algorithm based on the special environment of Arctic, a mosaic process ,melt pond dis-crimination on the mosaic image , and melt pond fraction calculation were done step by step. Meanwhile, we used three-dimensional aerial-image modeling to calculate the sea ice surface relative elevation and sea ice surface roughness. Study on the relationship of melt pond and sea ice surface roughness distribution showed that areas with higher surface roughness generally have more smaller melt ponds, whereas dissolved and larger melt ponds usually occur in areas with lower surface roughness.关键词
北极/无人机/融池覆盖率/去雾算法/冰面粗糙度Key words
Arctic/unmanned aerial vehicle(UAV)/melt pond fraction/defogging algorithm/sea ice sur-face roughness引用本文复制引用
王明锋,苏洁,李涛,王晓宇,季青,曹勇,林龙,刘一林..基于无人机观测的北极冰面融池及冰面粗糙度信息提取方法研究[J].极地研究,2017,29(4):436-445,10.基金项目
国家重大科学研究计划(2013CBA01805)、国家重点研发计划(2016YFC1402704)、南北极环境综合考察与评估专项(CHINARE2017-04-02)和国家自然科学基金(41276193)资助 （2013CBA01805）
