Determination of the bulk temperature from NOAA/AVHRR satellite data in a midlatitude lake

International Journal of Applied Earth Observation and Geoinformation

Volumn 4, Issue 4, 2003, Pages 339-349

  Thiemann, Sabine ^a   Schiller, Helmut ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b INSTITUTE OF MATERIALS RESEARCH   (Germany)

Author keywords

AVHRR; Bulk temperature; Lake; Neural network

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; AVHRR; DATA PROCESSING; LAKE; NOAA SATELLITE; REMOTE SENSING;

CENTRAL EUROPE; EURASIA; EUROPE; LAKE CONSTANCE;

EID: 1342331592     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/S0303-2434(03)00021-7     Document Type: Article

References (25)

1. Anding, D., Kauth, R., 1970. Estimation of sea surface temperature from space. Remote Sensing Environ. 1, 21-220.
2. Appt, J., Stumpp, S., 2002. Die Bodensee-Messkampagne 2001. IWS/CWR Lake Constance Measurement Program 2001. Mitteilungen Institut für Wasserbau, University of Stuttgart, 111, 67 p.
3. Barton, I.J., 1995. Satellite-derived sea surface temperatures: current status. J. Geophys. Res. 100 (C5), 8777-8790.
4. Bäuerle, E., Ollinger, D., Ilmberger, J., 1998. Some meteorological, hydrological, and hydrodynamical aspects of Upper Lake Constance. Archiv für Hydrobiologie (Special Issues), Adv. Limnol. 53, 31-83.
5. Czajkowski, K.P., Goward, S.N., Ouaidrari, H., 1998. Impact of AVHRR filter functions on surface temperature estimation from the split window approach. Int. J. Remote Sensing 19, 2007-2012.
6. Deschamps, P.Y., Phulpin, T., 1980. Atmospheric correction of infrared measurements of the sea surface temperature using channels at 3.7, 11 and 12 cm. Boundary Layer Meteorol. 18, 131-143.
7. Gaedke, U., Schimmele, M., 1991. Internal seiches in Lake Constance: influence on plankton abundance at a fixed sampling site. J. Plankton Res. 13, 743-754.
8. Häse, C., 1996. Die Vorhersage der Produktivität des Phytoplanktons im Bodensee unter Berücksichtigung der Temperatur sowie der spektralen Zusammensetzung des Unterwasser-Strahlungsfeldes. Konstanzer Dissertationen. Hartung-Gorre Verlag. 514, 182 p.
9. Häse, C., Gaedke, U., Seifried, S., Beese, B., Tilzer, M.M., 1998. Phytoplankton response to re-oligotrophication in large and deep Lake Constance: photosynthetic rates and chlorophyll concentrations. Archiv für Hydrobiologie (Special Issues), Adv. Limnol. 53, 159-178.
10. Jöhnk, K., 2001. Simulation klimatisch bedingter Temperatur-variationen in europäischen Seen. Deutsche Gesellschaft für Limnologie e.V. (DGL) (Ed.), Tagungsbericht. Kiel. Germany, pp. 269-273.
11. IGKB (Internationale Gewässerschutz-Kommission für den Bodensee) (Ed.), 1999. 40 Jahre Internationale Gewässerschutz-Kommission für den Bodensee, 15 p.
12. LAWA (Länderarbeitsgemeinschaft Wasser) (Ed.), 1985. Seen in der Bundesrepublik Deutschland. München, 190 p.
13. Li, X., Pichel, W., Clemente-Colón, P., Krasnopolsky, V., Sapper, J., 2001. Validation of coastal sea and lake surface temperature measurements derived from NOAA/AVHRR data. Int. J. Remote Sensing 22 (7), 1285-1303.
14. McClain, E.P., Pichel, W.G., Walton, C.C., 1985. Comparative performance of AVHRR-based multichannel sea surface temperatures. J. Geophys. Res. 90, 11,587-11,601.
15. McMillin, L.M., Crosby, D.S., 1984. Theory and validation of the multiple window sea surface temperature technique. J. Geophys. Res. 89, 3655-3661.
16. Mogilyov, N. Yu., 2001. Institute of Solar-Terrestrial Physics SD RAS. Irkutsk, Russia, personal communication.
17. Ollinger, D., 1999. Modellierung von Temperatur, Turbulenz und Algenwachstum mit einem gekoppelten physikalisch-biologischen Modell. Ph.D. Thesis, Ruprecht-Karls-University of Heidelberg, publisher dissertation.de, 200 p.
18. Schiller, H., 2000. Feedforward-backpropagation neural net program ffop1.0. GKSS Report 2000/37, 26 p.
19. Schlüssel, P., 1995. Passive Fernerkundung der unteren Atmosphäre und der Meeresoberfläche aus dem Weltraum. Berichte aus dem Zentrum für Meeres- und Klimaforschung, A:20, 175 p.
20. Schlüssel, P., 1996. Satellite remote sensing of evaporation over sea. In: Raschke, E. (Ed.), Radiation and water in the climate system: remote measurements. NATO ASI Series, 145, Chapter 16, pp. 431-443.
21. Shenoi, S.C., 1999. On the suitability of global algorithms for the retrieval of SST from the north Indian Ocean using NOAA/AVHRR data. Int. J. Remote Sensing 20, 11-29.
22. Thiemann, S., Häse, C., 2002. A primary production algorithm developed for Lake Constance based on remote sensing data. In: Proceedings of the 7th International Conference on Remote Sensing for Marine and Coastal Environments. Miami, Florida, 9 p.
23. Thiemann, S., Häse, C., Heege, T., 2001. Relation between bulk temperature based on in situ temperature profiles and NOAA-AVHRR sea surface temperature data for Lake Constance. In: Toulouse, Owe, M., D'Urso, G. (Eds.), Proceedings of the 8th Remote Sensing Symposium. Remote Sensing for Agriculture, Ecosystems, and Hydrology III, Proceedings of SPIE, 4542, pp. 199-206.
24. Wooster, M., Patterson, G., Loftie, R., Sear, C., 2001. Derivation and validation of the seasonal thermal structure of Lake Malawi using multi-satellite AVHRR observations. Int. J. Remote Sensing 1-20.
25. Yokoyama, R., Tanba, S., 1991. Estimation of sea surface temperature via AVHRR of NOAA-9-comparison with fixed buoy data. Int. J. Remote Sensing 12 (12), 2513-2528.