A Python package for calculating and visualizing drought indices such as the SPI, SPEI and SGI.

R package for the calculation of Standardized Index values (SPI, SPEI, SSI,...) on a daily basis.

run theory to characterize drought indices

Drought SPEI Index Spain Map 🔥🌡️🌧️

📊🛰️ Data processing scripts, ML models, and Explainable AI results created as part of my Masters Thesis @ Johns Hopkins

Project on how to predict agricultural drought conditions using Vegetation Health Index in Google Earth Engine

A Matlab function to calculate Palmer Drought Severity Index (PDSI) using monthly temperature and precipitation data. Can determine values for multiple sites simultaneously.

Using atmospheric humidity deficits to discern soil moisture deficits. Python code repository for Baldocchi et al. (2021)

Evaporative Demand Drought Index

Near Real-Time Drought Exposure: Case Study of the Central Region, Ghana

The "Drought Early Warning System's DataHub" (DEWS-DH) is a satellite datahub which is used to show and store satellite image data. Metrics like the NDVI or SMI are calculated on demand. The images are imported into a PostGIS database were they can be requested by third-party software for further processing.

Evaluation of extreme hydrometeorological phenomena such as droughts and low water periods, using the Standardized Precipitation Index (SPI), the Standardized Precipitation-Evapotranspiration Index (SPEI) and the Palmer Drought Severity Index (PDSI), in reference to water scarcity, water stress and water availability.

Scripts accompanying the paper: Keune et al. "ERA5–Drought: Global drought indices based on ECMWF reanalysis." Scientific Data 12, 616 (2025).

Development of drought indicators linked to the OGC Climate Resilience & Disaster Pilots

Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.

Lesson materials for Module 2 (M2), "Open Climate Science for Agriculture"

Climate data

This repo contains javascript code used in Google Earth engine to perform various Geospatial Data analysis tasks on satellite data. The code utilizes Google earth engines own archive of Satellite data.

S-ARIDA: Sistema de Alerta y Riesgo por Incidencia de Sequías y Desastres Ambientales

My Data Science Portfolio