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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Heege, T. Kiselev, V. Odermatt, D. Heblinski, J. Schmieder, K. Tri Vo Khac Trinh Thi Long |
| Copyright Year | 2009 |
| Description | Author affiliation: University of Hohenheim, Institute for Landscape and Plant Ecology, Ökologiezentrum 2, August-v.-Hartmann-Str. 3, D-70599 Stuttgart, Germany (Schmieder, K.) || Southern Institute for Water Resources, 2A Nguyen Bieu St., Dist. 5, Ho Chi Minh City, Viet Nam (Tri Vo Khac; Trinh Thi Long) || EOMAP GmbH & Co. KG, Airport Oberpfaffenhofen, Friedrichshafener Str. 1, 82205 Gilching, Germany (Heege, T.; Kiselev, V.; Heblinski, J.) || Remote Sensing Laboratories (RSL), Winterthurerstr. 190, CH-8050 Zurich, Switzerland (Odermatt, D.) |
| Abstract | 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, RapidEye. 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. |
| File Size | 819638 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5418222 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Water Earth Lakes Rivers Sea measurements Sensor systems Spatial resolution Image sensors Optical sensors Information retrieval MODIS Remote Sensing Water Quality Suspended Matter Turbidity Phytoplankton Coastal Lake River |
| Content Type | Text |
| Resource Type | Article |
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