ON THE FEASIBILITY OF APPLYING ORBITAL CORRECTIONS TO SAOCOM-1 DATA WITH FREE OPEN SOURCE SOFTWARE (FOSS) TO GENERATE DIGITAL SURFACE MODELS: A CASE STUDY IN ARGENTINA

ON THE FEASIBILITY OF APPLYING ORBITAL CORRECTIONS TO SAOCOM-1 DATA WITH FREE OPEN SOURCE SOFTWARE (FOSS) TO GENERATE DIGITAL SURFACE MODELS: A CASE STUDY IN ARGENTINA

In this work we present an orbital correction workflow developed with FOSS tools to compensate for orbital errors present in Synthetic Aperture Radar (SAR) interferograms. The technique is tested in forested areas in Argentina, using full polarimetric images from the argentinean SAR constellation SA...

Full description

Saved in:
Bibliographic Details
Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVI-4/W2-2021; pp. 167 - 174
Main Authors: Seppi, S. A., Solarte Casanova, E. A., Roa, Y. L. B., Euillades, L., Gaute, M.
Format: Journal Article Conference Proceeding
Language:English
Published: Gottingen Copernicus GmbH 19-08-2021
Copernicus Publications
Subjects:
Agriculture
Algorithms
Archives & records
Case studies
Corrections
Error analysis
Feasibility studies
Forestry
Freeware
Information science
Interferometry
Open source software
Photogrammetry
Plant cover
Public domain
Remote sensing
Root-mean-square errors
SAR (radar)
Satellites
Synthetic aperture radar
Workflow
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work we present an orbital correction workflow developed with FOSS tools to compensate for orbital errors present in Synthetic Aperture Radar (SAR) interferograms. The technique is tested in forested areas in Argentina, using full polarimetric images from the argentinean SAR constellation SAOCOM-1 (Satélite Argentino Con Microondas). The results are contrasted with field measurements of canopy height provided by local producers, and the results show that the Root Mean Square Error (RMSE) of the satellite measurements is significantly reduced after the orbital correction. Moreover, forest plantation become more distinguishable in the retrieved Digital Surface Models, especially in those pairs with larger spatial baseline. A section of this article is also dedicated to the discussion on which are the best parameters to run the module, and how different configurations can affect the result.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVI-4-W2-2021-167-2021