You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
9 October 2006On the comparison between soil moisture values retrieved from SAR images and ground truth point measurements
One major concern in the retrieval procedure lies in the procedure for its validation. This procedure implies a
comparison between retrieved values and in-situ measurements. Even in the ideal case the ground and satellite
measurements are fundamentally different, since the ground data can be sampled continuously in time but at a discrete
point, while a satellite samples an area average but a snapshot in time. In this paper a retrieval algorithm for the
estimation of soil moisture from AirSAR, acquired on vegetated fields during the SMEX'02 experiment carried out in
Iowa in 2002, is presented. The retrieval procedure, based on a Bayesian approach, consists of two modules, one is
pertinent to bare soils while the other one is useful for the determination of soil moisture in presence of vegetation. The
last one uses the synergy with optical images to correct for the contribution of vegetation water content. The abovementioned
campaign has been chosen because, along with radar observations, extensive ground truth measurements
were acquired. The main aim of the paper is to investigate how well an average value of the ground variable, such as
soil moisture, that is obtained by inverting the satellite data, corresponds to a simple average of the same variable over a
finite region determined from ground truth data. This is what happens when satellite derived measurements are
compared with point measurements.
C. Notarnicola andF. Posa
"On the comparison between soil moisture values retrieved from SAR images and ground truth point measurements", Proc. SPIE 6363, SAR Image Analysis, Modeling, and Techniques VIII, 636308 (9 October 2006); https://doi.org/10.1117/12.690696
The alert did not successfully save. Please try again later.
C. Notarnicola, F. Posa, "On the comparison between soil moisture values retrieved from SAR images and ground truth point measurements," Proc. SPIE 6363, SAR Image Analysis, Modeling, and Techniques VIII, 636308 (9 October 2006); https://doi.org/10.1117/12.690696