Speaker
Dr
Milan Lazecky
(IT4Innovations)
Description
This work represents an ongoing work at IT4Innovations related to satellite remote sensing topic. A preparation of database of pre-processed satellite synthetic aperture radar (SAR) images is a prerequisite for effective analyzes using SAR interferometry (InSAR), intensity and polarimetry analyzes. These techniques are able to observe especially vertical displacements in a very high sensitivity (reaching 1 mm/year) by InSAR and/or identify deforestation, flooded or burnt areas or prepare soil moisture maps from satellite radar which radiation penetrates clouds. Our database is connected to the Czech Collaborative Copernicus Ground Segment maintained by CESNET and contains bursts of Copernicus programme’s Sentinel-1 SAR satellite that have been preprocessed to the state of a consistent well-coregistered dataset by an open-source NASA/JPL software ISCE. A further processing time is significantly reduced in order to achieve so-called Persistent Scatterers (PS) or other, e.g. Small Baseline (SB) -based displacements velocity maps, as demonstrated using open-source STAMPS multitemporal InSAR processor. Our approach has several advantages over similar works - a processing speed and a preparedness for inclusion of various advanced techniques, for example a warning system against dangerous motion of landslides or infrastructure. Every new pre-processed burst can trigger a processing update that is able to detect unexpected changes in InSAR time series and therefore provide a signal for early warning against suspicious occurrence of a potential dangerous displacements. Using other open-source tools such as ESA’s SNAP we are able to deliver products such as soil moisture change maps or forest change maps over Czech areas. The work is ongoing, preliminary and expected results will be presented.
Primary author
Dr
Milan Lazecky
(IT4Innovations)
