satellite altimetry over land surfaces€¦ · 1 satellite altimetry over land surfaces -...
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Satellite altimetry over land surfaces
-
Applications in hydrology
and for land surface properties
Frédéric Frappart email: [email protected]
XVth Rencontres du Vietnam - 8-14/09/2019 2nd VSEO Remote Sensing of Inundation, Flooding and Wetland
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1) Time series of water level
2) Time series of surface water volume
3) Time series of water discharge
4) Calibration/validation of hydrological models
5) Land surface properties and soil moisture
Contents
XVth Rencontres du Vietnam - 8-14/09/2019 2nd VSEO Remote Sensing of Inundation, Flooding and Wetland
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Time series of water level
XVth Rencontres du Vietnam - 8-14/09/2019 2nd VSEO Remote Sensing of Inundation, Flooding and Wetland
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Why monitoring water levels using radar
altimetry?
Negro River, Amazon
Lower acqisition period
(10 to 35 days)
Lower accuracy
(> 10 cm)
Larger number of stations than in situ networks Monitoring of rivers, lakes but also floodplains Same reference for all water stages
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• From a database
• Computed using a dedicated software
Time series of water level
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Lake levels: G-REALM
https://ipad.fas.usda.gov/cropexplorer/
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Lake and river levels: Hydroweb
http://hydroweb.theia-land.fr
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River and lake levels: DAHITI
https://dahiti.dgfi.tum.de
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River and lake levels: River & Lake
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Time series of surface water volume
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• Interpolation of altimetry-based water stages on the inundated
areas determined using satellite images (Frappart et al.,
Remote Sens. Env., 2005)
• Creation of hypsometric curves to
estimate the level of a flooded
pixel: h(λ,φ,t) = f(inundation(λ,φ,t) )
Frappart et al., Env. Res.
Lett. (2012)
• Determination of the surface water volume variations
Method
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MODIS-based (e.g., Sakamoto et al., Remote Sens. Env., 2007)
Surface water extent datasets
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GIEMS: Global Inundation Extent Multi-Satellite
Surface water extent datasets
Merging of satellite data with different wavelengths (surface classification, NN, vegetation)
Passive microwave SSM/I emissivities at 19, 37 GHz, H and V polarizations
Active microwave ERS scatterometer backscattering coefficient at 5.25 GHz
Visible and near infrared AVHRR NDVI (visible and near-infrared reflectances)
[Prigent et al., J. Geophys. Res., 2007; Geophys. Res. Lett., 2012 Papa et al., Geophys. Res. Lett., 2006; 2008; J. Geophys. Res., 2010]
Mean fractional surface water extent at annual maximum
Data mapped on equal-area grid with 0.25°x0.25° resolution at equator (773 km²)
Monthly resolution for 1993-2007 (soon 5 days)
and at least extended to 2012 and longer
%
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Examples of surface water volume variations
Frappart et al., Sci. Tot. Env.
(2018)
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Examples of surface water volume variations
Frappart et al., Sci. Tot. Env. (2018)
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Examples of surface water volume variations
Frappart et al., Env. Res. Lett. (2012)
Silva et al., Int. J. Remote Sens. (2012)
Papa et al., J. Geophys. Res. (2010)
543 stations altimétriques
ENVISAT RA-2
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Examples of surface water volume variations
Frappart et al., Environ. Res.
Lett. (2012)
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Time series of water discharge
XVth Rencontres du Vietnam - 8-14/09/2019 2nd VSEO Remote Sensing of Inundation, Flooding and Wetland
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River profile
Average river profile of the Amazon mainstem during the 1995-
1996 hydrological cycle (Birkett et al., J. Geophys. Res., 2002)
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River discharge
• Using a rating curve based on in situ discharges:
(Rantz et al., 1982)
for a single satellite altimetry mission:
(Zakharova et al., C. R. Geosci., 2006)
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River discharge
For multiple satellite altimetry missions:
(Bogning et al., Remote Sens., 2018)
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River discharge
• Using rating curves based on simulated discharges from a
hydrological model:
(Paris et al., Water Resour. Res., 2016)
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Calibration/validation of hydrological models
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Validation of hydrological models
Hydrodynamics modeling of the central Amazon using LISFLOOD
(Wilson et al., Geophys. Res. Lett., 2007)
River
Floodplain + model
o altimetry
Topex/Poseidon Track
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Validation of hydrological models
Hydrodynamics modeling of the Amazon using MGB-IPH (Paiva et
al., Water Resour. Res., 2013)
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Assimlation into hydrological models
Hydrodynamics modeling of the Amazon using MGB-IPH (Paiva et
al., Water Resour. Res., 2013)
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Land surface properties and soil moisture
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Global maps of radar altimetry backscatering
ENVISAT (Ku)
ENVISAT (S)
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Global maps of radar altimetry backscatering
ENVISAT (Ku)
SARAL (Ka)
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Global maps of radar altimetry backscatering
ENVISAT (Ku)
ENVISAT (S)
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31 Télédétection RADAR : théorie et applications dans le domaine de l'environnement
Global maps of radar altimetry backscatering
ENVISAT (Ku)
SARAL (Ka)
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Backscattering as a function of frequency
Frappart et al., Phys. Chem. Earth (2015)
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Backscattering as a function of frequency
Frappart et al., Phys. Chem. Earth (2015)
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Backscattering as a function of incidence
Fatras et al., Remote Sens. Env. (2015)
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Backscattering as a function of incidence
Fatras et al., Remote Sens. Env. (2015)
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Backscattering as a function of incidence
Fatras et al., Remote Sens. Env. (2015)
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Soil moisture inversion
Soil moisture inversion over
sand surfaces insemi-arid
areas
Fatras et al., Remote Sens.
Env. (2012)
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Flood extent estimates
Papa et al., Int. J. Remote Sens. (2006)
% of inundation (July 1993)
Months with floods
Flood if σ0 > 20 dB at C-band using Topex/Poseidon Flood extent incresases of 4% when σ0 increases of 1 dB
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