Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
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Updated
Oct 30, 2019 - JavaScript
Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Full-featured Raspberry Pi based irrigation controller and web application for scheduling.
R package for the calculation of Standardized Index values (SPI, SPEI, SSI,...) on a daily basis.
Example code that calculates the Hybrid Precipitation Index described in Chelton and Risien, 2020.
The Esri Drought Aware application allows anyone to explore weekly values for drought intensity across the United States from 2000 to present at either the county or state level.
Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.
A simple Python package to calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.
A Matlab function to calculate Palmer Drought Severity Index (PDSI) using monthly temperature and precipitation data. Can determine values for multiple sites simultaneously.
📊🛰️ Data processing scripts, ML models, and Explainable AI results created as part of my Masters Thesis @ Johns Hopkins
Apresentação feita em R do meu estudo chamado "Are coexisting biomes in a heterogeneous tropical landscape alternative stable states?".
The goal of this projet is to predict future disasters (droughts, floods, and storms) and their impact, and represent these predictions on a dashboard.
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