By Topic

Soil moisture retrievals from biangular L-band passive microwave observations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Wigneron, J.-P. ; Inst. Nat. de la Recherche Agronomique, Villenave D''Ornon, France ; Calvet, J.-C. ; de Rosnay, P. ; Kerr, Y.
more authors

A simple approach for correcting the effect of vegetation in the estimation of soil moisture (wS) from L-band passive microwave observations is presented in this study. The approach is based on statistical relationships, calibrated from simulated datasets, which requires only two observations made at distinct incidence angles (θ12). A sensitivity study was carried out, and best retrieval remote sensing configurations, in terms of polarization and couple of incidence angles (θ12), were investigated. Best estimations of wS could be made at H polarization, for θ1 varying between 15° and 30°, and with a difference (θ21) larger than 30°. The method was tested against two experimental datasets acquired over crop fields (soybean and wheat). The average accuracy in the soil moisture retrievals during the whole crop cycle was found to be about 0.05 m3/m3 for both crops.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:1 ,  Issue: 4 )