sar processing in sarscape: data to answers€¦ · sar can detect surface phenomenology, penetrate...
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SAR Processing in SARscape: Data to Answers
Prerequisite: A basic level of remote sensing knowledge as well as ENVI operations are necessary to take advantage of this course.
Introduction of SAR SAR data acquisition Existing sensors System geometry Radar bands and frequencies
Basic Introduction to the SARscape package:
workflows, step-by-step functions, default values setting, on-line help and documentation, Batch processing function
SARscape modules general description Basic Module overview Sentinel-1 data download SAR data import DEM download and import
InSAR, DInSAR Interferometry Module overview
Ground Control Point files creationand associated functionalities
Interferometric DEM generation workflow Exercise on interferometric DEM generation
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Learn how you can use Synthetic Aperture Radar (SAR) analysis tools in ENVI SARscape® to support your Earth Observation applications. This class will cover background information on SAR data and satellites to tips and tricks for end results, making it useful for both beginners and experienced SAR researchers.
SAR can detect surface phenomenology, penetrate clouds, and deliver observations not possible with optical imagery. The increasing availability of cost-effective SAR data can be beneficial to applications such as:
This 4-day training will guide you through the processing and analysis tools in SARscape starting with setting up the SARscape working environment, to moving through the tools, to generating final products. Applications of SAR data will be addressed using different approaches and techniques such as backscatter coefficient analysis, coherence, interferometric and differential interferometric techniques, and multi-temporal analysis.
The training will involve the use of the freely available Sentinel-1 data as well as high-resolution data (TerraSAR-X and COSMO-SkyMed).
Limitations and potentials
Reference DEMs preparation Amplitude data exercise Coherent Change Detection and
Coherence RGB workflows Coherent Change Detection Exercise Exercises with multi-temporal data (e.g.
flooding, agriculture, target analysis,change detection)
Interferometry Module step-by-step functions Estimation of land displacements using SAR
Differential Interferometry DInSAR displacement map generation
workflow Exercise on estimation of land
displacements (e.g. earthquake,sinkholes, landslides)
Target detection such as ships and manmade objects,Mapping of floods or fire damageDistinguishing snow from ice and measuring sea ice thicknessAgriculture health and growth stage monitoringDEM creation for the analysis of large-scale land deformations (e.g. induced by earthquakes)Measurement of temporal changes of small surface displacements e.g. landslides, and infrastructure damageCompliment optical imagery sources
DEM generation with SAR Interferometry