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

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

Research output: Book/ReportReport

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 languageEnglish
Place of PublicationHelsinki
Number of pages47
Publication statusPublished - 2012
MoE publication typeD4 Published development or research report or study

Publication series

SeriesFinnish Environment
Number12
Volume2012
ISSN1238-7312

Fingerprint

flood forecasting
in situ measurement
snow water equivalent
remote sensing
microwave radiometer
commercialization
visualization
freezing
satellite data
synthetic aperture radar
spatial resolution
snow
river basin
radar
watershed
weather
monitoring
simulation
project
soil

Keywords

  • Floods
  • remote sensing
  • snow
  • precipitation

Cite this

Kolhinen, V. (Ed.), Metsämäki, S. (Ed.), Vehviläinen, B. (Ed.), Kuitunen, T. (Ed.), Lemmetyinen, J. (Ed.), Pulliainen, J. (Ed.), ... Kärnä, J-P. (2012). Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project . Helsinki. Finnish Environment, No. 12, Vol.. 2012
Kolhinen, Vesa (Editor) ; Metsämäki, Sari (Editor) ; Vehviläinen, Bertel (Editor) ; Kuitunen, Timo (Editor) ; Lemmetyinen, Juha (Editor) ; Pulliainen, Jouni (Editor) ; Rautiainen, Kimmo (Editor) ; Smolander, Tuomo (Editor) ; Antropov, Oleg (Editor) ; Berglund, Robin (Editor) ; Kiviniemi, Jukka (Editor) ; Rauste, Yrjö (Editor) ; Kärnä, Juha-Petri. / Improving flood forecasting using multi-source remote sensing data together with in situ measurements : Report of the Floodfore project . Helsinki, 2012. 47 p. (Finnish Environment; No. 12, Vol. 2012).
@book{7f879b50acc343c8a873ed24e552970d,
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 = "Juha-Petri K{\"a}rn{\"a}",
editor = "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",
note = "Project code: 28811",
year = "2012",
language = "English",
isbn = "978-952-11-4001-3",
series = "Finnish Environment",
publisher = "Ministry of the Environment",
number = "12",

}

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

Improving flood forecasting using multi-source remote sensing data together with in situ measurements : Report of the Floodfore project . / Kolhinen, Vesa (Editor); Metsämäki, Sari (Editor); Vehviläinen, Bertel (Editor); Kuitunen, Timo (Editor); Lemmetyinen, Juha (Editor); Pulliainen, Jouni (Editor); Rautiainen, Kimmo (Editor); Smolander, Tuomo (Editor); Antropov, Oleg (Editor); Berglund, Robin (Editor); Kiviniemi, Jukka (Editor); Rauste, Yrjö (Editor); Kärnä, Juha-Petri.

Helsinki, 2012. 47 p. (Finnish Environment; No. 12, Vol. 2012).

Research output: Book/ReportReport

TY - BOOK

T1 - Improving flood forecasting using multi-source remote sensing data together with in situ measurements

T2 - Report of the Floodfore project

AU - Kärnä, Juha-Petri

A2 - Kolhinen, Vesa

A2 - Metsämäki, Sari

A2 - Vehviläinen, Bertel

A2 - Kuitunen, Timo

A2 - Lemmetyinen, Juha

A2 - Pulliainen, Jouni

A2 - Rautiainen, Kimmo

A2 - Smolander, Tuomo

A2 - Antropov, Oleg

A2 - Berglund, Robin

A2 - Kiviniemi, Jukka

A2 - Rauste, Yrjö

N1 - Project code: 28811

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

CY - Helsinki

ER -

Kolhinen V, (ed.), Metsämäki S, (ed.), Vehviläinen B, (ed.), Kuitunen T, (ed.), Lemmetyinen J, (ed.), Pulliainen J, (ed.) et al. Improving flood forecasting using multi-source remote sensing data together with in situ measurements: Report of the Floodfore project . Helsinki, 2012. 47 p. (Finnish Environment; No. 12, Vol. 2012).