Details
| Original language | English |
|---|---|
| Pages (from-to) | 93-103 |
| Number of pages | 11 |
| Journal | Photogrammetrie, Fernerkundung, Geoinformation |
| Volume | 2013 |
| Issue number | 2 |
| Publication status | Published - 1 Apr 2013 |
Abstract
Areal rainfall information is one of the most important inputs to hydrological models. This paper presents some theoretical considerations and initial results on the idea of using a geosensor network of cars as a data source for areal rainfall estimations. The types of car sensors and different calibration schemes for the rainfall estimation functions (W-R functions) in the cars are presented. A special focus is given to the decentralized online calibration of these functions in the network by communicating measurements between measuring units. This would allow the dynamic adaptation of the functions to different situations such as different drivers, the current car environment or the current wind speed and direction. Then, results from laboratory and field experiments are presented.
Keywords
- Calibration, Decentralized processing, Estimation, Geosensor network, Precipitation, Rainfall
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Physics and Astronomy(all)
- Instrumentation
- Earth and Planetary Sciences(all)
- Earth and Planetary Sciences (miscellaneous)
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In: Photogrammetrie, Fernerkundung, Geoinformation, Vol. 2013, No. 2, 01.04.2013, p. 93-103.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Rainfall estimation with a geosensor network of cars
T2 - Theoretical considerations and first results
AU - Fitzner, Daniel
AU - Sester, Monika
AU - Haberlandt, Uwe
AU - Rabiei, Ehsan
PY - 2013/4/1
Y1 - 2013/4/1
N2 - Areal rainfall information is one of the most important inputs to hydrological models. This paper presents some theoretical considerations and initial results on the idea of using a geosensor network of cars as a data source for areal rainfall estimations. The types of car sensors and different calibration schemes for the rainfall estimation functions (W-R functions) in the cars are presented. A special focus is given to the decentralized online calibration of these functions in the network by communicating measurements between measuring units. This would allow the dynamic adaptation of the functions to different situations such as different drivers, the current car environment or the current wind speed and direction. Then, results from laboratory and field experiments are presented.
AB - Areal rainfall information is one of the most important inputs to hydrological models. This paper presents some theoretical considerations and initial results on the idea of using a geosensor network of cars as a data source for areal rainfall estimations. The types of car sensors and different calibration schemes for the rainfall estimation functions (W-R functions) in the cars are presented. A special focus is given to the decentralized online calibration of these functions in the network by communicating measurements between measuring units. This would allow the dynamic adaptation of the functions to different situations such as different drivers, the current car environment or the current wind speed and direction. Then, results from laboratory and field experiments are presented.
KW - Calibration
KW - Decentralized processing
KW - Estimation
KW - Geosensor network
KW - Precipitation
KW - Rainfall
UR - http://www.scopus.com/inward/record.url?scp=84877286797&partnerID=8YFLogxK
U2 - 10.1127/1432-8364/2013/0161
DO - 10.1127/1432-8364/2013/0161
M3 - Article
AN - SCOPUS:84877286797
VL - 2013
SP - 93
EP - 103
JO - Photogrammetrie, Fernerkundung, Geoinformation
JF - Photogrammetrie, Fernerkundung, Geoinformation
SN - 1432-8364
IS - 2
ER -