Publications des scientifiques de l'IRD

Merlin Olivier, Malbeteau Y., Notfi Y., Bacon S., Er-Raki S., Khabba S., Jarlan Lionel. (2015). Performance metrics for soil moisture downscaling methods : application to dispatch data in central Morocco. Remote Sensing, 7 (4), p. 3783-3807. ISSN 2072-4292.

Titre du document
Performance metrics for soil moisture downscaling methods : application to dispatch data in central Morocco
Année de publication
2015
Type de document
Article référencé dans le Web of Science WOS:000354789300018
Auteurs
Merlin Olivier, Malbeteau Y., Notfi Y., Bacon S., Er-Raki S., Khabba S., Jarlan Lionel
Source
Remote Sensing, 2015, 7 (4), p. 3783-3807 ISSN 2072-4292
Data disaggregation (or downscaling) is becoming a recognized modeling framework to improve the spatial resolution of available surface soil moisture satellite products. However, depending on the quality of the scale change modeling and on the uncertainty in its input data, disaggregation may improve or degrade soil moisture information at high resolution. Hence, defining a relevant metric for evaluating such methodologies is crucial before disaggregated data can be eventually used in fine-scale studies. In this paper, a new metric, named G(DOWN), is proposed to assess the potential gain provided by disaggregation relative to the non-disaggregation case. The performance metric is tested during a four-year period by comparing 1-km resolution disaggregation based on physical and theoretical scale change (DISPATCH) data with the soil moisture measurements collected by six stations in central Morocco. DISPATCH data are obtained every 2-3 days from 40-km resolution SMOS (Soil Moisture Ocean Salinity) and 1-km resolution optical MODIS (Moderate Resolution Imaging Spectroradiometer) data. The correlation coefficient between G(DOWN) and the disaggregation gain in time series correlation, mean bias and bias in the slope of the linear fit ranges from 0.5 to 0.8. The new metric is found to be a good indicator of the overall performance of DISPATCH. Especially, the sign of G(DOWN) (positive in the case of effective disaggregation and negative in the opposite case) is independent of the uncertainties in SMOS data and of the representativeness of localized in situ measurements at the downscaling (1 km) resolution. In contrast, the traditional root mean square difference between disaggregation output and in situ measurements is poorly correlated (correlation coefficient of about 0.0) with the disaggregation gain in terms of both time series correlation and bias in the slope of the linear fit. The G(DOWN) approach is generic and thus could help test a range of downscaling methods dedicated to soil moisture and to other geophysical variables.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Hydrologie [062] ; Télédétection [126]
Description Géographique
MAROC ; HAUT ATLAS
Localisation
Fonds IRD [F B010064645]
Identifiant IRD
fdi:010064645
Contact