• Aucun résultat trouvé

Calibration and validation of soil moisture retrieval alogorithms over low vegetation using ground based L band radiometer

N/A
N/A
Protected

Academic year: 2021

Partager "Calibration and validation of soil moisture retrieval alogorithms over low vegetation using ground based L band radiometer"

Copied!
2
0
0

Texte intégral

(1)

HAL Id: hal-02807044

https://hal.inrae.fr/hal-02807044

Submitted on 6 Jun 2020

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Calibration and validation of soil moisture retrieval alogorithms over low vegetation using ground based L

band radiometer

Maciej Miernecki, Jean-Pierre Wigneron, Yann H. Kerr, Ernesto Lopez-Baeza, Richard de Jeu, Peggy O’Neill, Tânia Casal, Susanne Mecklenburg

To cite this version:

Maciej Miernecki, Jean-Pierre Wigneron, Yann H. Kerr, Ernesto Lopez-Baeza, Richard de Jeu, et al.. Calibration and validation of soil moisture retrieval alogorithms over low vegetation using ground based L band radiometer. Satellite Soil Moisture Validation and Application Workshop, Jul 2013, Frascati, Italy. �hal-02807044�

(2)

Satellite Soil Moisture Validation and Application Workshop in Frascati, Italy,

1-3 July 2013

Références

Documents relatifs

Relationship between mean soil moisture, estimated from 7 radar moisture maps, and soil texture characteristics, for 34 test fields: (a) clay content (%); (b) sand content

Statistics for comparison of 0–5 cm volumetric moisture content (θ) estimates by means of Delta-T ThetaProbe and Decagon 5TE sensors at the Sodankylä “HA Open 1” (low organic

Vegetation Cover Modeling From SWI Estimations [ 32 ] As shown in section 4.1, a significant correlation can be observed between the vegetation index and the previously

Bare soil HYdrological balance model ”MHYSAN”: calibration and validation using SAR moisture products and continuous thetaprobe network Measurements over bare agricultural

In the present study, we propose to evaluate the L-MEB model on the basis of a large set of airborne data, recorded by the CAROLS radiometer during the course of 20 flights made

the X-band SAR data in addition to one vegetation descriptor derived from optical images allows 744. better results with HH polarization than with HV or both HH and

The results of our validation indicate that the SMOS soil moisture estimates are approaching the level of performance anticipated, based on comparisons with in situ data and

[ 85 ] To specifically assess the impacts of the seasonal and interannual dynamics of soil moisture and seasonal vegetation on Sahelian dust emissions, the simulated area was