The present study is aimed at investigating the potentialities of the COSMO/SkyMed (CSK) constellation for ground elevation measurement with particular attention devoted to the impact of the improved spatial resolution wrt the previous SAR sensors. Assuming no movement and successful orbital error removal, the main problem in height computation through InSAR techniques derives from the interferometric phase artifacts related to the interaction between microwave and the lower layers of the atmosphere (APS, Atmospheric Phase Screen). Different strategies can be adopted to filter out this signal, ranging from the exploitation of the well-known spatial and temporal statistics of the APS to the estimation of independent APSmeasurements through Numerical Weather Prediction (NWP) models. Their feasibility and the achievable accuracies are discussed here.
On the use of COSMO-SkyMed SAR data and Numerical Weather Models for interferometric DEM generation / Nitti, D. O.; Nutricato, R.; Intini, F.; Bovenga, F.; Chiaradia, Maria Teresa; Pacione, R.; Vespe, F.. - (2012), pp. 3935-3938. (Intervento presentato al convegno 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 tenutosi a Munich, Germany nel July 22-27, 2012) [10.1109/IGARSS.2012.6350551].
On the use of COSMO-SkyMed SAR data and Numerical Weather Models for interferometric DEM generation
CHIARADIA, Maria Teresa;
2012-01-01
Abstract
The present study is aimed at investigating the potentialities of the COSMO/SkyMed (CSK) constellation for ground elevation measurement with particular attention devoted to the impact of the improved spatial resolution wrt the previous SAR sensors. Assuming no movement and successful orbital error removal, the main problem in height computation through InSAR techniques derives from the interferometric phase artifacts related to the interaction between microwave and the lower layers of the atmosphere (APS, Atmospheric Phase Screen). Different strategies can be adopted to filter out this signal, ranging from the exploitation of the well-known spatial and temporal statistics of the APS to the estimation of independent APSmeasurements through Numerical Weather Prediction (NWP) models. Their feasibility and the achievable accuracies are discussed here.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
