Synergy of Earth Observation and In-situ Monitoring Data for Flood - - PowerPoint PPT Presentation

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Synergy of Earth Observation and In-situ Monitoring Data for Flood - - PowerPoint PPT Presentation

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living planet symposium Synergy of Earth Observation and In-situ Monitoring Data for Flood Hazard Early Warning System Lukas Brodsky (GISAT) lukas.brodsky at gisat.cz Radka Kodesova (CULS), Katerina Spazierova (GISAT) 28 June 2 July 2010 |

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SLIDE 1

Synergy of Earth Observation and In-situ Monitoring Data for Flood Hazard Early Warning System

Lukas Brodsky (GISAT) lukas.brodsky at gisat.cz Radka Kodesova (CULS), Katerina Spazierova (GISAT)

28 June – 2 July 2010 | Bergen | Norway European Space Agency

living planet symposium

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SLIDE 2

Objectives

FLOREO

Demonstration of ESA Environments in support to FLOod Risk Earth Observation monitoring

  • development and implementation of EO-based services to

support existing hydrological monitoring activities

  • snow monitoring & surface water runoff estimation in

relation to flood events

  • provide the monitoring information via Internet services (ESA

SSE; WS, WMS)

  • User: Czech Hydro-Meterological Institute (CHMI) - mandated in

monitoring and prevention of floods

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 3

Flood forecast uncertainties

8% 70% 22% Model Rainfall predictions Other

Flood forecast services

  • Input data: currently mostly weather station & river stream flow

= discrete points (limited number: 100 - 300)

  • Uncertainties in between measured points / uncertainties in model
  • CZ: 78 000 km2 need of spatial information
  • Earth Observation, MODIS: 1 248 000 pixels

Input data Model Hydrologist

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 4

What is currently available?

  • Input data: EO data with daily acquisitions, GIS products based on

EO (CLC, FTS, etc.), in-situ (weather station) data

  • Processing tools: EO pre- and post- processing tools, classification

methods, geostatistical libraries, hydrological models

  • Technology: HPC, infrastructure, internet services (WS, WMS; SSE

etc.)

28 June – 2 July 2010 | Bergen | Norway

Input data examples:

Terra MODIS Corine Land Cover Weather stations (80) with dynamics of vegetation

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SLIDE 5

General DB concept

28 June – 2 July 2010 | Bergen | Norway

Runs on daily basis as discrete physical-based model GRID / EMU (9000+ / 200 000+ )

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SLIDE 6

System concept

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 7

FLOREO

28 June – 2 July 2010 | Bergen | Norway

http://mapserver.floreo.cz/

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SLIDE 8

Snow

28 June – 2 July 2010 | Bergen | Norway

  • Input data: EO: Terra MODIS, ENVISAT ASAR, In-situ (snow height,

snow water equivalent, temperatures) Land Cover, DEM

  • Processors & models: EO pre- and post- processing (contextual

OBIA) tools, classification engine, geostatistical tool (gstat), degree day snow melt model

  • Technology: HPC, programming environments for engines and

control system implementation, infrastructure, internet services (WS, WMS, etc.)

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SLIDE 9

Snow monitoring: OPTICAL

Terra MODIS

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 10

Snow monitoring: SAR

ENVISAT - ASAR WSM

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 11

Snow water equivalent

28 June – 2 July 2010 | Bergen | Norway

Geostatistical in-situ & envi_var data modelling

Kriging SWE [mm]

[0,10] (10,50] (50,100] (100,150] (150,200]

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SLIDE 12

Snow modeling

Degree-day factor snow melt model (WMO, 1986)

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 13

Snow cover statistics

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 14

User requirement yet unsolved!

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 15

Snow cover monitoring in forest!

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 16

RUNOFF

28 June – 2 July 2010 | Bergen | Norway

  • Input data: ENVISAT MERIS, Terra MODIS, In-situ (basic weather

station measurements for hydrological modelling), Corine Land Cover, FTS Soil Sealing, DEM, Slope, Soil data including soil properties, Grid3KM & Elementary Mapping Units

  • Processors & models: EO pre-processing tools, classification engine

(vegetation growth), LAI processor, geostatistical tool (gstat) Hydrological processors (water balance): direct runoff, interception, evapotranspiration (FAO meth.), HYDRUS – soil water regime, modified USDA-SCS CN runoff model, critical precipitation, scenarios determination tool

  • Technology: HPC, programming environments for engines and

control system implementation, infrastructure, internet services (WS, WMS, etc.)

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SLIDE 17

In-situ -> precipitation map

Geostatistical in-situ data modelling

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 18

EO products

Corine Land Cover + veg. dynamics FTS Soil Sealing Slope LAI

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 19

HYDRUS – soil water regime modelling

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 20

Surface runoff model

Modified USDA-SCS CN Runoff

[precipitation, soil information, land cover / land use, soil moisture, slope]

vlh vlh

SMX PRECIP SMX PRECIP Q ∗ + ∗ − = 8 . ) 2 . (

2

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 21

Surface runoff

28 June – 2 July 2010 | Bergen | Norway

9000+ grids

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SLIDE 22

Water cycle

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 23

Implementation

28 June – 2 July 2010 | Bergen | Norway

Autonomous system:

  • automatically receives data from various providers (EO & in-situ)
  • runs processors and models
  • provide results as products to common database
  • and visualize on map server or provide WMS & SSE

http://mapserver.floreo.cz/

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SLIDE 24

SEE implementation

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 25

Results

FLOREO system demonstrates conceptual framework of EO & in-situ data assimilation in hydrological modelling Water cycle system is implemented by cascade of models:

  • requires complex input information sources (EO & in-situ)
  • and also high computational power

Analytical tool for hydrologists with WS infrastructure Monitor current status of the landscape / catchments

  • > forecasts: scenario analysis (weather forecast / extremes)
  • > estimation of critical precipitation as warning information

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 26

Further improvements

Snow water equivalent by EO (currently only by in-situ) Detection of snow in forest under the tree cover (?) Snow post processing in progress (filling cc gaps) Critical precipitation & scenario analysis! Uncertainty analysis

28 June – 2 July 2010 | Bergen | Norway

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SLIDE 27

28 June – 2 July 2010 | Bergen | Norway European Space Agency

living planet symposium

Thank you for your attention!