A Computation Framework for LISS-III Analysis Ready Data (ARD) Products for Indian Spatial Data Cube Generation

The velocity and volume of MultiSpectral (MS) remote sensing data have recently increased exponentially. In recent times, however, the absence of a spatial data cube to store analysis-ready data (ARD) products for the Indian sensors’ data delimits its ready use and depreciates its value. Establishin...

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Bibliographic Details
Published in:Journal of the Indian Society of Remote Sensing 2024-09, Vol.52 (9), p.2021-2037
Main Authors: Jha, Ashutosh Kumar, Ghosh, Sanjay Kumar, Saran, Sameer
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric correction
Data analysis
Earth and Environmental Science
Earth Sciences
Error correction
Ingestion
Integrated software
Landsat
Optical data processing
Optical measuring instruments
Reflectance
Remote sensing
Remote Sensing/Photogrammetry
Remote sensors
Research Article
Root-mean-square errors
Satellite imagery
Sensors
Software development
Spatial data
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Summary:The velocity and volume of MultiSpectral (MS) remote sensing data have recently increased exponentially. In recent times, however, the absence of a spatial data cube to store analysis-ready data (ARD) products for the Indian sensors’ data delimits its ready use and depreciates its value. Establishing a framework for storing, managing, and providing online processing ARD products for different sensors is necessary. The current work proposes a framework to produce ARD products by radiometrically correcting the data using the 6 S atmospheric correction and Shepherd Diamond-based terrain correction method to provide normalised surface reflectance. The generated ARD product for LISS-III shows a good correlation with the Planet Lab’s surface reflectance ARD product and an excellent correlation with the SACRS2- a Scheme for Atmospheric Correction of ResourceSat-2 corrected product. A frequency-based geometric correction algorithm provides RMSE of less than half a pixel registration error compared to LANDSAT-8 OLI orthorectified imagery. Finally, A Spatial Data Cube (SDC) with CARD4L metadata standard stores the ARD products post ingestion. The paper explains the complete integrated software development with an end-to-end processing chain of LISS III, an Indian optical sensor data.
ISSN:0255-660X
0974-3006
DOI:10.1007/s12524-024-01928-9