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
    PublisherIEEE Institute of Electrical and Electronic Engineers
    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). IEEE Institute of Electrical and Electronic Engineers . 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. IEEE Institute of Electrical and Electronic Engineers , 2010. pp. 1749-1752
    @inproceedings{e39e7911efdf4b79b1dcf9e191fb02ad,
    title = "Improving hydrological forecasting using multi-source remote sensing data together with in situ measurements",
    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",
    keywords = "Snow, hydrology, floods, multi-source data",
    author = "Juha-Petri K{\"a}rn{\"a} and Markus Huttunen and Sari Mets{\"a}m{\"a}ki and Bertel Vehvil{\"a}inen and Victor Podsechin and Jouni Pulliainen and Juha Lemmetyinen and Timo Kuitunen and Yrj{\"o} Rauste and Robin Berglund",
    note = "Project code: 28811",
    year = "2010",
    doi = "10.1109/IGARSS.2010.5649827",
    language = "English",
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    pages = "1749--1752",
    booktitle = "Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010",
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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. IEEE Institute of Electrical and Electronic Engineers , 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. IEEE Institute of Electrical and Electronic Engineers , 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

    KW - Snow, hydrology

    KW - floods

    KW - multi-source data

    U2 - 10.1109/IGARSS.2010.5649827

    DO - 10.1109/IGARSS.2010.5649827

    M3 - Conference article in proceedings

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    BT - Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010

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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. IEEE Institute of Electrical and Electronic Engineers . 2010. p. 1749-1752 https://doi.org/10.1109/IGARSS.2010.5649827