NOAA's use of remote sensing technology and the coastal mapping program

被引:0
|
作者
Madore, Brian [1 ]
Imahori, Gretchen [2 ]
Kum, Jamie [2 ]
White, Stephen [2 ]
Worthem, Aleah [1 ]
机构
[1] NOAA Affiliate, Data Solut & Technol, Silver Spring, MD 20910 USA
[2] NOAA, NGS, Silver Spring, MD USA
关键词
bathymetry; lidar; phologrammetry; remote sensing; shoreline;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Advancements in acquiring bathymetry and capturing features below the water's surface have significantly improved our knowledge of what lies beneath rivers, lakes, and oceans. Surveying techniques utilize methods such as multibeam, side scan sonar, laser scanners, satellite derived bathymetry (SDB), and topographic-bathymetric (topobathy) lidar. Of these methods, bathymetric lidar is becoming the emergent sensor of choice to survey nearshore bathymetry (0-4 meters typically). NOAA's National Geodetic Survey (NGS) collects a variety of remote sensing data using both traditional and emerging technologies. NGS products include: topobathy lidar datasets, aerial photographs (nadir and oblique), the National shoreline, and Continuously Updated Shoreline Products (CUSP). Topobathy lidar is flown on a small aircraft at low altitude following predetermined flight plans and staging. Bathymetric lidar sensors provide an efficient, flexible, cost effective and overall safer method to acquire coastal bathymetry whereas multibeam can be utilized more effectively beyond the 4 meter depth curve. NGS operates the Riegl VQ-880-G topobathy airborne laser scanning sensor and surveys coastal shorelines, as well as monitors the spatial and temporal nature of nearshore bathymetry. Nadir imagery is also collected, orthorectified for viewing, and supports the construction of topobathy elevation models. NGS acquires aerial photogrammetry via a Trimble Digital Sensor Systems to independently verify shoreline changes and to aid topobathy lidar data collection. These high-resolution digital cameras are also used for emergency response to collect pre- and post-event (oblique and nadir) imagery which assist in response and recovery efforts along coastlines impacted by major events (e.g. Hurricanes: Harvey, Sandy, Katrina; Tornadoes in Joplin and Tuscaloosa; Midwest U.S. flooding and human-induced disasters like Deepwater Horizon, etc.). Coastal oblique imagery is especially important for emergency response because it is collected at a 35-40 degree angle to provide a view of a wider area; improving the visibility of vertical structures, such as the sides of buildings, as opposed to only the tops of buildings as typically seen in traditional imagery. NOAA acquires and rapidly disseminates these images to support homeland security and emergency response requirements. Additionally, several commercial sources have incorporated the aerial imagery into internet based map servers to provide search capabilities based on street addresses, city names and points of interest. At times, NGS must also utilize satellite imagery to monitor shoreline changes and generate derived products (e.g. CUSP and satellite derived bathymetry). These products are especially important for remote regions such as Alaska or small geographic areas where aircraft logistics and competing priorities make it challenging to maximize the utilization of NOAA's platforms. Satellite imagery provides a rapid analysis over a large area but is limited by imagery resolution, weather conditions, and water column quality. In this paper, we will describe the historical perspective of remote sensing in NGS, the different remote sensing technologies and products used today, and the outlook for optical technologies being explored for use at NGS in the future.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] NOAA REGIONAL COASTAL INFORMATION-CENTER PROGRAM
    ALEXANDER, CL
    FREEMAN, RR
    [J]. PROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1978, 15 : 5 - 8
  • [32] Microlevel Mapping of Coastal Geomorphology and Coastal Resources of Rameswaram Island, India: A Remote Sensing and GIS Perspective
    Nobi, E. P.
    Shivaprasad, A.
    Karikalan, R.
    Dilipan, E.
    Thangaradjou, T.
    Sivakumar, K.
    [J]. JOURNAL OF COASTAL RESEARCH, 2010, 26 (03) : 424 - 428
  • [33] Remote Sensing of Coastal Ecosystems
    Klemas, Victor
    [J]. 2008 IEEE/OES US/EU-BALTIC INTERNATIONAL SYMPOSIUM, 2008, : 105 - 115
  • [34] Coastal Remote Sensing in Korea
    Ryu, Joo-Hyung
    Hong, Sang-Hoon
    Jo, Young-Heon
    Kim, Duk-jin
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2020, 36 (02) : 231 - 236
  • [35] Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt
    Shalaby, Adel
    Tateishi, Ryutaro
    [J]. APPLIED GEOGRAPHY, 2007, 27 (01) : 28 - 41
  • [36] Mapping the Shifting Focus in Remote Sensing Literature: Technology, Methodology, and Applications
    Li, Xintao
    Li, Shuhan
    Zhao, Minxiao
    Guo, Xin
    Zhang, Tingjun
    [J]. PROCESSES, 2023, 11 (02)
  • [37] Geoinformation technology of temperature mapping of dumps based on remote sensing of the Earth
    Andreiev, A.
    Azimov, O.
    Shevchuk, O.
    Tomchenko, O.
    [J]. 16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment, Monitoring 2022, 2022,
  • [38] Application of Airborne Multispectral Remote Sensing Technology to Engineering Geological Mapping
    Yang, Jun
    Yan, Gengsheng
    Li, Zufeng
    Shang, Haixing
    Hu, Xiangyang
    Zhao, Cheng
    [J]. ENGINEERING GEOLOGY FOR A HABITABLE EARTH, VOL 4, IAEG XIV CONGRESS 2023, 2024, : 75 - 92
  • [39] Mapping Detection of Marine Data Based on Space Remote Sensing Technology
    Chen, Ye
    Ma, Qingyun
    Liu, Chao
    Shu, Qiang
    [J]. JOURNAL OF COASTAL RESEARCH, 2019, : 717 - 722
  • [40] Approaches to mapping ecotone boundaries using emerging remote sensing technology
    Tueller, PT
    [J]. PROCEEDINGS : SHRUBLAND ECOTONES, 1998, (11): : 78 - 83