运用MODIS遥感数据评测南海北部区域机载激光雷达测深系统参数

doi:10.11947/j.AGCS.2018.20170536

测绘学报 ›› 2018, Vol. 47 ›› Issue (2): 180-187.doi: 10.11947/j.AGCS.2018.20170536

运用MODIS遥感数据评测南海北部区域机载激光雷达测深系统参数

丁凯^1,2, 李清泉^1,2, 朱家松^1,2, 汪驰升^1,2, 管明雷^1,2, 崔扬^1,2, 杨超^1,2, 徐天³

1. 深圳大学海岸带地理环境监测国家测绘地理信息局重点实验室, 广东深圳 518060;
2. 深圳大学空间信息智能感知与服务深圳市重点实验室, 广东深圳 518060;
3. 广东省国土资源测绘院, 广东广州 510500

收稿日期:2017-09-19 修回日期:2017-12-13 出版日期:2018-02-20 发布日期:2018-03-02
通讯作者: 李清泉 E-mail:liqq@szu.edu.cn
作者简介:丁凯(1985-),男,博士生,研究方向为激光雷达测深。E-mail:dingkai@szu.edu.cn
基金资助:
国家自然科学基金（41504004；91546106）；地震动力学国家重点实验室开放基金（LED2016B03）；深圳市未来产业发展专项基金（201507211219247860）；广东省国土资源厅科研专项（GDGTKJ2016001）；深圳市科创委基础研究项目（JCYJ20170302144002028）；深圳大学研究生创新发展基金（00003327）

Evaluation of Airborne LiDAR Bathymetric Parameters on the Northern South China Sea Based on MODIS Data

DING Kai^1,2, LI Qingquan^1,2, ZHU Jiasong^1,2, WANG Chisheng^1,2, GUAN Minglei^1,2, CUI Yang^1,2, YANG Chao^1,2, XU Tian³

1. Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University, Shenzhen 518060, China;
2. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China;
3. Surveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou 510500, China

Received:2017-09-19 Revised:2017-12-13 Online:2018-02-20 Published:2018-03-02
Supported by:
The National Natural Science Foundation of China (Nos. 41504004;91546106);The State Key Laboratory of Earthquake Dynamics Research Program (No. LED2016B03);The Shenzhen Future Industry Development Funding Program (No. 201507211219247860);The Special Program of Department of Land and Resources of Guangdong Province(No. GDGTKJ2016001);The Shenzhen Scientific Research and Development Funding Program(No. JCYJ20170302144002028);The Graduate Innovation and Development Funding Program of Shenzhen University (No. 00003327)

摘要/Abstract

摘要： 为研究中国南海北部海域在CZMIL海道测量模式下的最大可测水深的空间分布情况，首先探讨了现有的南海北部海域漫衰减系数K_d（490）反演算法，运用南海北部海域水色实测数据建立了漫衰减系数K_d（490）和K_d（532）之间的数值关系，总结了漫衰减系数K_d（532）和CZMIL系统最大可测水深之间的关系。通过2014年Aqua-MODIS遥感光谱数据得到了南海北部海域1月、6月、10月的海水漫衰减系数K_d（532）参数，研究发现6月份时该区域平均漫衰减系数相对较小，于是进一步合成了该月份的CZMIL系统测深能力空间分布图。结果表明：CZMIL系统在南海北部海域的可测水深约为0~71.18 m；6月份比1月、10月更适合激光测深作业。该研究为南海北部海域开展激光测深作业的时间选择和飞行方案的制订提供了参考。

关键词: 机载激光测深, 漫射衰减系数, 南海, CZMIL

Abstract: In order to study the spatial distribution of maximum coastal zone mapping and imaging LiDAR(CZMIL)detectable depth in the northern South China Sea,we firstly research the existing K_d(490) inversion algorithm in the northern South China Sea.The relationship between the diffuse attenuation coefficient K_d(490) and K_d(532) is established based on the optical profile data measured,and the relationship between the diffuse attenuation coefficient K_d(532) and the maximum CZMIL detectable depth is summarized.Then,using the remote measurement data of the Aqua-MODIS,we obtain the spatial distribution of diffuse attenuation coefficient at 532 nm in the northern South China Sea in January,June and October,2014.It shows that June is more suitable for bathymetry operation than in October and January.Finally,we obtain the spatial distribution of maximum CZMIL detectable depth in June in the northern South China Sea.The results show that the CZMIL detectable water depths in the northern South China Sea are about 0~71.18 m.The study provides a reference for the time selection and flight scheme of LiDAR bathymetry operation in the northern South China Sea.

Key words: airborne LiDAR bathymetry, diffuse attenuation coefficient, South China Sea, coastal zone mapping and imaging LiDAR

中图分类号:

P229.2

丁凯, 李清泉, 朱家松, 汪驰升, 管明雷, 崔扬, 杨超, 徐天. 运用MODIS遥感数据评测南海北部区域机载激光雷达测深系统参数[J]. 测绘学报, 2018, 47(2): 180-187.

DING Kai, LI Qingquan, ZHU Jiasong, WANG Chisheng, GUAN Minglei, CUI Yang, YANG Chao, XU Tian. Evaluation of Airborne LiDAR Bathymetric Parameters on the Northern South China Sea Based on MODIS Data[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(2): 180-187.

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运用MODIS遥感数据评测南海北部区域机载激光雷达测深系统参数

Evaluation of Airborne LiDAR Bathymetric Parameters on the Northern South China Sea Based on MODIS Data

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