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
  • [21] QUANTITATIVE MAPPING OF CHLOROPHYLL A DISTRIBUTIONS IN COASTAL ZONES BY REMOTE SENSING.
    Johnson, Robert W.
    [J]. 1977,
  • [22] A Low Cost Solution for NOAA Remote Sensing
    Ardizzone, Edoardo
    Bruno, Alessandro
    Gugliuzza, Francesco
    Pirrone, Roberto
    [J]. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON SENSOR NETWORKS (SENSORNETS), 2018, : 128 - 134
  • [23] The use of remote sensing in soil and terrain mapping - A review
    Mulder, V. L.
    de Bruin, S.
    Schaepman, M. E.
    Mayr, T. R.
    [J]. GEODERMA, 2011, 162 (1-2) : 1 - 19
  • [24] Technology Developments in NOAA's Real-Time Coastal Observing Systems
    Edwing, Richard
    Teng, Chung-Chu
    Heitsenrether, Robert
    [J]. MARINE TECHNOLOGY SOCIETY JOURNAL, 2015, 49 (02) : 122 - 137
  • [25] Technology Use in NOAA's National Marine Sanctuary System
    Basta, Daniel J.
    LaFeir, Letise
    Gittings, Stephen
    Broughton, Kathy
    Casserley, Tane
    Chetirkin, Paul
    Delgado, James
    DeVogelaere, Andrew
    Green, Russ
    Hickerson, Emma
    Hoyt, Joseph
    Lawrence, Matthew
    Lillestolen, Ted
    Pickett, Matt
    Reyer, Tony
    Rohmann, Steve
    Schmahl, George
    Thompson, Kate
    Wiley, David
    Wilkes, Dana
    [J]. MARINE TECHNOLOGY SOCIETY JOURNAL, 2015, 49 (02) : 178 - 192
  • [26] Use of Remote sensing technology to assess grapevine quality
    Zibrat, Uros
    Knapic, Matej
    Preiner, Darko
    Krevh, Vedran
    Zovko, Monika
    [J]. 2019 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY (METROAGRIFOR), 2019, : 260 - 263
  • [27] NOAA/NESS PROGRAM FOR OPERATIONAL SNOWCOVER MAPPING: PREPARING FOR THE 1980'S.
    Schneider, S.R.
    [J]. NASA Conference Publication, 1979, (2116): : 21 - 39
  • [28] Advancing coastal habitat mapping in bahrain: a comparative study of remote sensing classifiers
    Alkhuzaei, Manaf
    Brolly, Matthew
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2024, 10 (03) : 3435 - 3454
  • [29] A FRAMEWORK FOR CAPACITY BUILDING IN MAPPING COASTAL RESOURCES USING REMOTE SENSING IN THE PHILIPPINES
    Tamondong, A.
    Cruz, C.
    Ticman, T.
    Peralta, R.
    Go, G. A.
    Vergara, M.
    Estabillo, M. S.
    Cadalzo, I. E.
    Jalbuena, R.
    Blanco, A.
    [J]. XXIII ISPRS Congress, Commission VI, 2016, 41 (B6): : 149 - 153
  • [30] Basic physical concepts in optical remote sensing for mapping benthic coastal habitats
    Casal, G.
    [J]. REVISTA DE TELEDETECCION, 2013, (40): : 134 - 142