Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project

Juha-Petri Kärnä; Vesa Kolhinen; Sari Metsämäki; Bertel Vehviläinen; Timo Kuitunen; Juha Lemmetyinen; Jouni Pulliainen; Kimmo Rautiainen; Tuomo Smolander; Oleg Antropov; Robin Berglund; Jukka Kiviniemi; Yrjö Rauste

Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project

Juha-Petri Kärnä (Editor), Vesa Kolhinen, Sari Metsämäki, Bertel Vehviläinen, Timo Kuitunen, Juha Lemmetyinen, Jouni Pulliainen, Kimmo Rautiainen, Tuomo Smolander, Oleg Antropov, Robin Berglund, Jukka Kiviniemi, Yrjö Rauste

Research output: Book/Report › Report

Abstract

Current remote sensing satellites can provide valuable information relevant to hydrological monitoring. And by using available in situ measurements together with the satellite data the information can be even more valuable.
The FloodFore project developed new methods to estimate hydrological parameters from multi source remote sensing and in situ data. These hydrological parameters are important input to the watershed simulation model in order to improve the accuracy of its forecasts.

In the project several new methods were either developed or demonstrated: satellite based snow water equivalent (SWE) estimation, weather radar based accumulated precipitation estimation, satellite based soil freezing state determination, and SWE estimation with high spatial resolution using both microwave radiometer and SAR data. Also a visualisation system for multi source information was developed to demonstrate the new products to users.

The effect of the snow remote sensing estimates to the hydrological forecasting accuracy was studied for the Kemijoki river basin. The commercialisation possibilities of the results of the project were also studied.

Original language	English
Place of Publication	Helsinki
Publisher	Finnish Environment Institute SYKE
Number of pages	47
ISBN (Print)	978-952-11-4001-3
Publication status	Published - 2012
MoE publication type	D4 Published development or research report or study

Publication series

Series	Finnish Environment
Number	12/2012
ISSN	1238-7312

Keywords

Floods
remote sensing
snow
precipitation

Access to Document

http://hdl.handle.net/10138/38793

Cite this

Kärnä, J.-P. (Ed.), Kolhinen, V., Metsämäki, S., Vehviläinen, B., Kuitunen, T., Lemmetyinen, J., Pulliainen, J., Rautiainen, K., Smolander, T., Antropov, O., Berglund, R., Kiviniemi, J., & Rauste, Y. (2012). Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project . Finnish Environment Institute SYKE. Finnish Environment No. 12/2012 http://hdl.handle.net/10138/38793

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title = "Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project ",

abstract = "Current remote sensing satellites can provide valuable information relevant to hydrological monitoring. And by using available in situ measurements together with the satellite data the information can be even more valuable.The FloodFore project developed new methods to estimate hydrological parameters from multi source remote sensing and in situ data. These hydrological parameters are important input to the watershed simulation model in order to improve the accuracy of its forecasts.In the project several new methods were either developed or demonstrated: satellite based snow water equivalent (SWE) estimation, weather radar based accumulated precipitation estimation, satellite based soil freezing state determination, and SWE estimation with high spatial resolution using both microwave radiometer and SAR data. Also a visualisation system for multi source information was developed to demonstrate the new products to users.The effect of the snow remote sensing estimates to the hydrological forecasting accuracy was studied for the Kemijoki river basin. The commercialisation possibilities of the results of the project were also studied.",

keywords = "Floods, remote sensing, snow, precipitation",

author = "Vesa Kolhinen and Sari Mets{\"a}m{\"a}ki and Bertel Vehvil{\"a}inen and Timo Kuitunen and Juha Lemmetyinen and Jouni Pulliainen and Kimmo Rautiainen and Tuomo Smolander and Oleg Antropov and Robin Berglund and Jukka Kiviniemi and Yrj{\"o} Rauste",

editor = "Juha-Petri K{\"a}rn{\"a}",

year = "2012",

language = "English",

isbn = "978-952-11-4001-3",

series = "Finnish Environment",

publisher = "Finnish Environment Institute SYKE",

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Kärnä, J-P (ed.), Kolhinen, V, Metsämäki, S, Vehviläinen, B, Kuitunen, T, Lemmetyinen, J, Pulliainen, J, Rautiainen, K, Smolander, T, Antropov, O, Berglund, R, Kiviniemi, J & Rauste, Y 2012, Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project . Finnish Environment, no. 12/2012, Finnish Environment Institute SYKE, Helsinki. <http://hdl.handle.net/10138/38793>

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T2 - Report of the Floodfore project

AU - Kolhinen, Vesa

AU - Metsämäki, Sari

AU - Vehviläinen, Bertel

AU - Kuitunen, Timo

AU - Lemmetyinen, Juha

AU - Pulliainen, Jouni

AU - Rautiainen, Kimmo

AU - Smolander, Tuomo

AU - Antropov, Oleg

AU - Berglund, Robin

AU - Kiviniemi, Jukka

AU - Rauste, Yrjö

A2 - Kärnä, Juha-Petri

PY - 2012

Y1 - 2012

N2 - Current remote sensing satellites can provide valuable information relevant to hydrological monitoring. And by using available in situ measurements together with the satellite data the information can be even more valuable.The FloodFore project developed new methods to estimate hydrological parameters from multi source remote sensing and in situ data. These hydrological parameters are important input to the watershed simulation model in order to improve the accuracy of its forecasts.In the project several new methods were either developed or demonstrated: satellite based snow water equivalent (SWE) estimation, weather radar based accumulated precipitation estimation, satellite based soil freezing state determination, and SWE estimation with high spatial resolution using both microwave radiometer and SAR data. Also a visualisation system for multi source information was developed to demonstrate the new products to users.The effect of the snow remote sensing estimates to the hydrological forecasting accuracy was studied for the Kemijoki river basin. The commercialisation possibilities of the results of the project were also studied.

AB - Current remote sensing satellites can provide valuable information relevant to hydrological monitoring. And by using available in situ measurements together with the satellite data the information can be even more valuable.The FloodFore project developed new methods to estimate hydrological parameters from multi source remote sensing and in situ data. These hydrological parameters are important input to the watershed simulation model in order to improve the accuracy of its forecasts.In the project several new methods were either developed or demonstrated: satellite based snow water equivalent (SWE) estimation, weather radar based accumulated precipitation estimation, satellite based soil freezing state determination, and SWE estimation with high spatial resolution using both microwave radiometer and SAR data. Also a visualisation system for multi source information was developed to demonstrate the new products to users.The effect of the snow remote sensing estimates to the hydrological forecasting accuracy was studied for the Kemijoki river basin. The commercialisation possibilities of the results of the project were also studied.

KW - Floods

KW - remote sensing

KW - snow

KW - precipitation

M3 - Report

SN - 978-952-11-4001-3

T3 - Finnish Environment

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

PB - Finnish Environment Institute SYKE

CY - Helsinki

ER -

Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project

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