Pseudo-vector image creator. Make art out of symbols.
A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
A semi-automatic GEE tool to monitor burned area progression using Sentinel-1 SAR data. Attachment for the article in the IEEE JSTARS by Paluba D. et al. (2024): Tracking burned area progression in an unsupervised manner using Sentinel-1 SAR data in Google Earth Engine https://doi.org/10.1109/JSTARS.2024.3427382
A simple utility to graph sar (system activity recorder) Linux performance data.
GEE codes to correct the radiometric effects (caused by the local incidence angle) in Sentinel-1 SAR data. Attachment for the article in Remote Sensing: Paluba et al. (2021): "Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems" (https://www.mdpi.com/1093660).
This script aims to determine the most suitable threshold for surface water extraction from Sentinel-1 image and provide a fully automatic processing chain for detecting, monitoring surface water and mapping water dynamics.
Web App for automated change detection in multi temporal satellite images for natural hazard classification.
This code repository is an attachment for the IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".
Google Earth Engine App for SAR data exploration
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