Prof.
Nazzareno Pierdicca
(Sapienza, University of Rome)
17/11/2015, 15:30
Soil and Hydrology
Remote sensing represents a very useful tool to monitor volumetric Soil Moisture Content (SMC) at different temporal and spatial scale. Indeed, such measures present a direct sensitivity to SMC at microwave bands, where the soil electrical permittivity is influenced by the water content. However, the radar return is sensitive not only to soil moisture, but also to surface roughness and, in...
Dr
Francesco Mattia
(CNR-ISSIA)
17/11/2015, 15:50
Soil and Hydrology
The objective of this paper is to report on a first assessment of superficial soil moisture (SSM) products retrieved from Sentinel-1A (S-1A) data. The SSM retrieval is obtained by applying the SMOSAR algorithm [1-2], which has been devised to exploit the advanced observational capabilities of S-1 mission, particularly its frequent revisit (i.e. exact revisit with 1 satellite of 12 days & 6...
Dr
Maurizio Santoro
(GAMMA Remote Sensing)
17/11/2015, 16:10
Soil and Hydrology
The availability of global datasets of synthetic aperture radar (SAR) data has boosted the development of algorithms in several thematic applications requiring large-scale classifications or quantitative mapping. From the Envisat mission (2002-2012), a decade of observations of the radar backscattered intensity acquired by the Advanced SAR (ASAR) sensor is available, with a spatial resolution...