|Title||Smos retrieval over forests: Exploitation of optical depth and tests of soil moisture estimates|
|Publication Type||Journal Article|
|Year of Publication||2016|
|Authors||Vittucci, C, Ferrazzoli, P, Kerr, Y, Richaume, P, Guerriero, L, Rahmoune, R, G. Laurin, V|
|Journal||Remote Sensing of Environment|
This research aims to test data obtained by level 2 retrieval algorithm of SMOS over land, in order to provide information regarding vegetation and soil moisture over forested areas. Results presented in this paper were obtained using the last 620 version of the algorithm.The correlation between the new vegetation optical depth (VOD) product and the height of the forest estimated by ICES at GLAS lidar on a global scale is investigated. Over South American and African forests a good correspondence between the two variables is observed, with saturation occurring above about 30 m height. Moreover, the comparison between the VOD and the height of the forest shows good spatial and temporal stability, and the r2 correlation coefficient is within a 0.59–0.69 range. Conversely, discrepancies are observed in some Indonesian islands, particularly New Guinea. Over specific areas, the trends vs. forest height obtained with SMOS VOD are compared with the corresponding trends of AMSR-E VOD. Results are also validated at country-level scale. To this aim, accurate estimates of forest biomass derived from airborne lidar over selected forests of Peru, Columbia and Panama are used.
|Short Title||Remote Sensing of Environment|