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Zawartość zarchiwizowana w dniu 2024-04-19

Spatial and temporal soil moisture mapping from ERS-1 and J-ERS-1 SAR data and macroscale hydrological modelling

Cel

To develop a technique to estimate surface soil moisture content
at the catchment scale based on satellite active microwave data
products. To test and validate field-scale, subcatchment-scale
and catchment-scale hydrologic models for the estimation of
spatio-temporal characteristics of surface soil moisture.


Data from existing spaceborne platforms (ERS-1 and J-ERS-1
satellite) and their on board active microwave sensors (Synthetic
Aperture Radar operating in C and L band) will be used. SAR
inversion algorithms for soil moisture derivation will be tested,
validated and if necessary improved, for use with data from the
mentioned platforms.

The hydrologic modelling strategy includes both numerical and
conceptual approaches. The information obtained from remote
sensing techniques and hydrologic models about the surface soil
moisture at different scales will be used to generate soil
moisture maps at the catchment scale.

The research will be conducted in three regions in Europe:
Brittany (France), Flanders (Belgium) and Tuscany (Italy).
Within each of these regions, experimental catchments are
selected for detailed study. A fourth test site near Naples
(Italy) is selected as a SAR-soil moisture calibration test site.

During the growing season (May-September) and at the time of the
satellite's overpass field surveys will be conducted to collect
all relevant information about the surface characteristics
required to calibrate the inversion algorithms: soil type,
texture, roughness, moisture content, as well as vegetation
characteristics: row direction and distance, plant density,
phenological stage, plant cover, plant height, leaf area index,
canopy structure.

During the spring and summer period of the two years of the
project detailed hydrologic data will be collected for the
experimental catchments. Based on these data numerical and
conceptual hydrologic models will be calibrated to produce
estimates of surface soil moisture conditions. During that
period a number of SAR images (both ERS-1 and J-ERS-1) will be
collected. This will allow for a comparison between remotely
sensed soil moisture estimates and estimates based upon the
hydrologic models. In the catchments Spot XS data are
interpreted to characterize land cover conditions.

Due to the high amount of geographically-related information
(topography, soil map, vegetation and land use, SAR images,
observed, simulated and estimated soil moisture) which will be
required, a database for each of the four test sites will be
developed by means of geographic information systems (GIS). The
knowledge gained from the experiments and the resulting SAR
inversion relationships will be used, together with the catchment
scale hydrologic models, to produce seasonal soil moisture
maps.

Dziedzina nauki

Program(-y)

Temat(-y)

Zaproszenie do składania wniosków

Data not available

System finansowania

CSC - Cost-sharing contracts

Koordynator

GENT UNIVERSITY
Wkład UE
Brak danych
Adres
653,Coupure Links 653
9000 GENT
Belgia

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Koszt całkowity
Brak danych

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Ostatnia aktualizacja: 10 Marca 2023

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Permalink: https://cordis.europa.eu/project/id/EV5V0446/pl

European Union, 2024