Visualized QA/QC of weather station data
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Updated
May 25, 2024 - Python
Visualized QA/QC of weather station data
Smart Irrigation custom component for Home Assistant
A Python implementation of the MOD16 terrestrial evapotranspiration algorithm
ETa and Crop Coefficient predictions via Machine Learning models
Scripts and instructions to reproduce the analysis presented in "Diagnosing evapotranspiration responses to water deficit across biomes using deep learning" by Giardina et al.
The design principles for EvapoGEE were that it should provide a site-specific reference evapotranspiration (ET0) estimate for a range of dates using different reanalysis data sets (CFSv2, GLDAS, NLDAS y RTMA); dataset currently available in GEE
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
Field-scale groundwater pumping estimation using OpenET
Master Thesis Project on modelling Evapotranspiration with SEBAL
GUI application that helps calculate evapotranspiration
Automatic actual evapotranspiration app developed in Google Earth Engine based on METRIC (Mapping Evapotranspiration with Internalized Calibration) algorithm and Landsat 8 imagery in my B.Sc. project
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Turn any electrical irrigation valve into a smart-valve.. or run your pumps on a smart schedule based on your climate! This homebridge plugin exposes a multi-zone irrigation sprinkler dummy control system to Apple's HomeKit. Although a dummy, it brings smarts of an evapotranspiration based climate and plant adaptive irrigation controller with th…
RadonPotential: A web-based interface for radon potential prediction under different climates and soil textures
Custom library to access data through ClimateSERV API
RF-ET0 is a tool that trains random forest models from climate reanalysis datasets, and facilitates the estimation of reference evapotranspiration (ET0) from few meterological observations.
Run the LWF-Brook90 hydrological model within R.
How can we get an accurate estimate of carbon stocks across a landscape with minimal ground truth data?
rsplash is the R implementation of the Simple process-led algorithms for simulating habitats (SPLASH v.2.0), which comprises robust formulations to compute energy and water fluxes. This R package, wrapping the C++ code, is intended to provide simulations either at site-scale or spatially-distributed, when the grid functionality is used
Evapotranspiration forecasting using FBProphet and NeuralProphet.
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