Google Earth Engine tool to generate multi-modal and multi-temporal datasets, including spatially and temporally aligned Sentinel-1 SAR data, Sentinel-2 multispectral data, weather and DEM-based data. A supplementary material for Paluba et al. 2024: "Identification of Optimal Sentinel-1 SAR Polarimetric Parameters for Forest Monitoring in Czechia

A python library designed for downloading and managing hydro-meteorological data sourced from satellites and global models.

Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats

The repository contains MATLAB and Python-based code for rainfall erosivity estimation and assessment of multiple datasets, and merging them into a single dataset.

Machine learning-based wheat yield estimation in Ukraine using MODIS and ERA5 Land data, with a comparative analysis of six regression models

This repository contains my projects, research, and analyses related to Meteorology during my university studies and personal learning journey.

Catalog-independent Wflow SBM hydrological model for the Upper Niger Basin. Complete ETL pipeline from raw ERA5/SRTM to runnable Julia simulation. Includes documented error resolutions and reusable patterns for building Wflow-sbm model.

Repository for downloading, processing and validating ECMWF reanalysis data against met station observations

Utilities for downloading and processing ERA5-Land reanalysis data from the Copernicus Climate Data Store.

This repository contains all the data and scripts to explore the greenness response of the vegetation from the Forest Floristic Inventory of Santa Catarina to seasonal variations in rainfall and temperature.

Herramienta de Hydro-Intelligence para balances hídricos globales. Usa Google Earth Engine (GEE) y Python para procesar series CHIRPS (0.05°) y ERA5-Land. Implementa un buffer de 5.5 km de diámetro para coincidir con la resolución nativa del píxel (Escala 1:1), garantizando precisión en el cálculo de P, ETP.

EO-based cropland vegetation and soil proxy analysis using Sentinel-2 indices and ERA5-Land climate data for Brandenburg, Germany.

A tool for estimating USDA plant hardiness zones worldwide for arbitrary plant species.

Code Supplement: Driver Analysis of Subarctic Wildfire Severity over a 35-year Period

Global Volumetric Soil Moisture Analysis

Verification study comparing ERA5/ERA5Land reanalysis and NASA POWER satellite data against surface observations for meteorological and radiation variables (AI assisted).

🌿 Analyze cropland soil and vegetation using satellite data for clear, reproducible insights in Brandenburg, Germany's summer climate conditions.