The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 405–410, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-405-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 405–410, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-405-2021
 
28 Jun 2021
28 Jun 2021

A NOVEL PROCEDURE FOR GENERATION OF SAR-DERIVED ZTD MAPS FOR WEATHER PREDICTION: APPLICATION TO SOUTH AFRICA USE CASE

M. E. Molinari1, M. Manzoni1, N. Petrushevsky1, A. M. Guarnieri1, G. Venuti2, A. N. Meroni2, A. Mascitelli2, and A. Parodi3 M. E. Molinari et al.
  • 1Politecnico di Milano - Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Milan, Italy
  • 2Politecnico di Milano - Dipartimento di Ingegneria Civile e Ambientale (DICA), Milan, Italy
  • 3Centro Internazionale in Monitoraggio Ambientale Research Foundation, Savona, Italy

Keywords: SAR, GNSS, ZTD, water vapor, weather prediction, TWIGA

Abstract. The knowledge of tropospheric water vapor distribution can significantly improve the accuracy of Numerical Weather Prediction (NWP) models. The present work proposes an automatic and fast procedure for generating reliable water vapor products from the synergic use of Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Global Navigation Satellite System (GNSS) observations. Moreover, a compression method able to drastically reduce, without significant accuracy loss, the water vapor dataset dimension has been implemented to facilitate the sharing through cloud services. The activities have been carried in the EU H2020 TWIGA project framework, aimed at providing water vapor maps at Technology Readiness Level 7.