Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements

Juha-Petri Kärnä, Markus Huttunen, Sari Metsämäki, Bertel Vehviläinen, Victor Podsechin, Jouni Pulliainen, Juha Lemmetyinen, Timo Kuitunen, Yrjö Rauste, Robin Berglund

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This paper describes the development of information systems and techniques for improving hydrological forecasting by applying satellite observations, weather radars, and in situ measurements from automatic monitoring stations. In the methodology developed and demonstrated, the observation data are accompanied with a detailed soil and land cover information. The information system is concerned with the following physical characteristics relevant to river discharges and flooding: snow water equivalent (SWE), cumulative amount of precipitation, fraction of snow covered area during the melting period (FSC), soil moisture, and soil frost. Feasibility of the multi-source information system is demonstrated in a pilot experiment for Finnish Lapland, using the hydrological forecasting system of the Finnish Environment Institute (SYKE) as an example of a typical operational distributed model
Original languageEnglish
Title of host publicationProceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1749-1752
ISBN (Electronic)978-1-4244-9566-5
ISBN (Print)978-1-4244-9565-8
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
EventInternational Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, Hawaii, United States
Duration: 25 Jul 201030 Jul 2010

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium, IGARSS 2010
Abbreviated titleIGARSS 2010
CountryUnited States
CityHonolulu, Hawaii
Period25/07/1030/07/10

Fingerprint

in situ measurement
information system
remote sensing
snow water equivalent
soil cover
river discharge
frost
land cover
flooding
snow
melting
soil moisture
weather
methodology
soil
experiment
observation satellite
monitoring station

Keywords

  • Snow, hydrology
  • floods
  • multi-source data

Cite this

Kärnä, J-P., Huttunen, M., Metsämäki, S., Vehviläinen, B., Podsechin, V., Pulliainen, J., ... Berglund, R. (2010). Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements. In Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 (pp. 1749-1752). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IGARSS.2010.5649827
Kärnä, Juha-Petri ; Huttunen, Markus ; Metsämäki, Sari ; Vehviläinen, Bertel ; Podsechin, Victor ; Pulliainen, Jouni ; Lemmetyinen, Juha ; Kuitunen, Timo ; Rauste, Yrjö ; Berglund, Robin. / Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Institute of Electrical and Electronic Engineers IEEE, 2010. pp. 1749-1752
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Kärnä, J-P, Huttunen, M, Metsämäki, S, Vehviläinen, B, Podsechin, V, Pulliainen, J, Lemmetyinen, J, Kuitunen, T, Rauste, Y & Berglund, R 2010, Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements. in Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Institute of Electrical and Electronic Engineers IEEE, pp. 1749-1752, International Geoscience and Remote Sensing Symposium, IGARSS 2010, Honolulu, Hawaii, United States, 25/07/10. https://doi.org/10.1109/IGARSS.2010.5649827

Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements. / Kärnä, Juha-Petri; Huttunen, Markus; Metsämäki, Sari; Vehviläinen, Bertel; Podsechin, Victor; Pulliainen, Jouni; Lemmetyinen, Juha; Kuitunen, Timo; Rauste, Yrjö; Berglund, Robin.

Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Institute of Electrical and Electronic Engineers IEEE, 2010. p. 1749-1752.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Kärnä, Juha-Petri

AU - Huttunen, Markus

AU - Metsämäki, Sari

AU - Vehviläinen, Bertel

AU - Podsechin, Victor

AU - Pulliainen, Jouni

AU - Lemmetyinen, Juha

AU - Kuitunen, Timo

AU - Rauste, Yrjö

AU - Berglund, Robin

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N2 - This paper describes the development of information systems and techniques for improving hydrological forecasting by applying satellite observations, weather radars, and in situ measurements from automatic monitoring stations. In the methodology developed and demonstrated, the observation data are accompanied with a detailed soil and land cover information. The information system is concerned with the following physical characteristics relevant to river discharges and flooding: snow water equivalent (SWE), cumulative amount of precipitation, fraction of snow covered area during the melting period (FSC), soil moisture, and soil frost. Feasibility of the multi-source information system is demonstrated in a pilot experiment for Finnish Lapland, using the hydrological forecasting system of the Finnish Environment Institute (SYKE) as an example of a typical operational distributed model

AB - This paper describes the development of information systems and techniques for improving hydrological forecasting by applying satellite observations, weather radars, and in situ measurements from automatic monitoring stations. In the methodology developed and demonstrated, the observation data are accompanied with a detailed soil and land cover information. The information system is concerned with the following physical characteristics relevant to river discharges and flooding: snow water equivalent (SWE), cumulative amount of precipitation, fraction of snow covered area during the melting period (FSC), soil moisture, and soil frost. Feasibility of the multi-source information system is demonstrated in a pilot experiment for Finnish Lapland, using the hydrological forecasting system of the Finnish Environment Institute (SYKE) as an example of a typical operational distributed model

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KW - floods

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Kärnä J-P, Huttunen M, Metsämäki S, Vehviläinen B, Podsechin V, Pulliainen J et al. Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements. In Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Institute of Electrical and Electronic Engineers IEEE. 2010. p. 1749-1752 https://doi.org/10.1109/IGARSS.2010.5649827