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Daniel Paluba's Projects

automatic-forest-classification-gee icon automatic-forest-classification-gee

Supplementary material for the article "Automatic classification of forests using Sentinel-2 multispectral satellite data and machine learning methods in Google Earth Engine"

gee-functions-codes icon gee-functions-codes

This repository contains GEE codes and functions that I have created in the course of my work in GEE and which I find useful for the wider GEE community.

lc-sliac icon lc-sliac

This code repository is an 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).

lst-downscaling-to-10m-gee icon lst-downscaling-to-10m-gee

This code repository is an attachment for the article in Remote Sensing: Onačillová, K.; Gallay, M.; Paluba, D.; Péliová, A.; Tokarčík, O.; Laubertová, D. Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment. https://doi.org/10.3390/rs14164076

precipitation_gee icon precipitation_gee

Precipitation dataset comparison in GEE. Supplementary material (code and data) for the article submitted for IGARSS 2024, entitled Evaluation of precipitation datasets available in Google Earth Engine on a daily basis for Czechia.

s1-bap icon s1-bap

This code repository is an attachment for the article in the IEEE JSTARS by Paluba D. et al. entitled "Tracking burned area progression in an unsupervised manner using Sentinel-1 SAR data in Google Earth Engine", doi: 10.1109/JSTARS.2024.3427382.

s1bam-igarss-2023 icon s1bam-igarss-2023

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".

tat2023 icon tat2023

Trans-Atlantic Training 2023 materials

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