Name: Daniel Paluba
Type: User
Company: Charles University, Prague
Bio: PhD candidate in Remote Sensing at Charles University in Prague, Czechia
Twitter: DanielPaluba
Location: Prague, Czechia
Blog: https://web.natur.cuni.cz/gis/eo4landscape/daniel-paluba/
Daniel Paluba's Projects
Supplementary material for the article "Automatic classification of forests using Sentinel-2 multispectral satellite data and machine learning methods in Google Earth Engine"
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.
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).
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 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.
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.
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".
Trans-Atlantic Training 2023 materials