RETRIEVAL OF WATER CONSTITUENTS FROM MULTIPLE EARTH OBSERVATION SENSORS IN LAKES, RIVERS AND COASTAL ZONES

被引:3
|
作者
Heege, Thomas [1 ]
Kiselev, Viacheslav [1 ]
Odermatt, Daniel
Heblinski, Joerg [1 ]
Schmieder, Klaus
Tri Vo Khac
Trinh Thi Long
机构
[1] EOMAP GmbH & Co KG, Airport Oberpfaffenhofen, Friedrichshafener Str 1, D-82205 Gilching, Germany
来源
2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年
关键词
Remote Sensing; Water Quality; Suspended Matter; Turbidity; Phytoplankton; Coastal; Lake; River; MODIS; RADIATIVE-TRANSFER; CONSTANCE; ALGORITHM; SCHEME;
D O I
10.1109/IGARSS.2009.5418222
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Earth observation sensors collect valuable data of aquatic systems, which are further used for the retrieval of concentrations of water constituents such as suspended matter and phytoplankton. Different sensors deliver data with various spatial and temporal resolution ranging from 1 day to approximately a month in time and from 1km to 3m in space, high spatial resolution being connected with low temporal resolution and vice versa. In order to have detailed information on both spatial distribution of water constituents and their temporal variability, that is especially important for small aquatic objects like rivers and lakes, it is necessary to combine the data from several sensors This creates certain problems as also spectral and radiometric resolutions of the sensors can be different The use of the modular image processing system MIP for the integration of data from different sensor is advantageous as it ensures standardized product outputs for a variety of satellite sensors such as MERIS, MODIS. SPOT. IKONOS, Rapid Eye The processing chain of this system is automatically adapted to the sensor parameters as well as to the region specific inherent optical properties (SIOP) of the water basin Various worldwide applications and time series for lakes, rivers and coastal areas are demonstrated and discussed.
引用
收藏
页码:1084 / +
页数:2
相关论文
共 40 条
  • [31] Potential of Large-Scale Inland Water Body Mapping from Sentinel-1/2 Data on the Example of Bavaria’s Lakes and Rivers
    Michael Schmitt
    PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2020, 88 : 271 - 289
  • [32] Potential of Large-Scale Inland Water Body Mapping from Sentinel-1/2 Data on the Example of Bavaria's Lakes and Rivers
    Schmitt, Michael
    PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, 2020, 88 (3-4): : 271 - 289
  • [33] The interactive effects of the seawater intrusion-affected zones and types of waterways on the surface water quality from the coastal Tien Giang Province, Vietnam
    Binh Thanh Nguyen
    Long Ba Le
    Anh Hung Le
    Nam Van Thai
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2021, 193 (04)
  • [34] Improved Aerosol Optical Thickness, Columnar Water Vapor, and Surface Reflectance Retrieval from Combined CASI and SASI Airborne Hyperspectral Sensors
    Yang, Hang
    Zhang, Lifu
    Ong, Cindy
    Rodger, Andrew
    Liu, Jia
    Sun, Xuejian
    Zhang, Hongming
    Jian, Xun
    Tong, Qingxi
    REMOTE SENSING, 2017, 9 (03):
  • [35] The interactive effects of the seawater intrusion-affected zones and types of waterways on the surface water quality from the coastal Tien Giang Province, Vietnam
    Binh Thanh Nguyen
    Long Ba Le
    Anh Hung Le
    Nam Van Thai
    Environmental Monitoring and Assessment, 2021, 193
  • [36] Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation
    Ganguly, Sangram
    Samanta, Arindam
    Schull, Mitchell A.
    Shabanov, Nikolay V.
    Milesi, Cristina
    Nemani, Ramakrishna R.
    Knyazikhin, Yuri
    Myneni, Ranga B.
    REMOTE SENSING OF ENVIRONMENT, 2008, 112 (12) : 4318 - 4332
  • [37] Ecological Risk Assessment of Heavy Metal Contamination in Water, Sediment, and Polychaeta (Neoleanira Tetragona) from Coastal Areas Affected by Aquaculture, Urban Rivers, and Ports in South Sumatra
    Rozirwan
    Az-Zahrah, Shahnaz Ajeng Fatimah
    Khotimah, Nadila Nur
    Nugroho, Redho Yoga
    Putri, Wike Ayu Eka
    Fauziyah
    Melki
    Agustriani, Fitri
    Siregar, Yusni Ikhwan
    JOURNAL OF ECOLOGICAL ENGINEERING, 2024, 25 (01): : 303 - 319
  • [38] Mapping Water Quality Parameters in Urban Rivers from Hyperspectral Images Using a New Self-Adapting Selection of Multiple Artificial Neural Networks
    Zhang, Yishan
    Wu, Lun
    Ren, Huazhong
    Liu, Yu
    Zheng, Yongqian
    Liu, Yaowen
    Dong, Jiaji
    REMOTE SENSING, 2020, 12 (02)
  • [39] Modeling multidecadal surface water inundation dynamics and key drivers on large river basin scale using multiple time series of Earth-observation and river flow data
    Heimhuber, V.
    Tulbure, M. G.
    Broich, M.
    WATER RESOURCES RESEARCH, 2017, 53 (02) : 1251 - 1269
  • [40] Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites
    Tran, Annelise
    Goutard, Flavie
    Chamaille, Lise
    Baghdadi, Nicolas
    Lo Seen, Danny
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2010, 12 (01) : 1 - 8