Smart Irrigation custom component for Home Assistant
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Updated
May 10, 2024 - Python
Smart Irrigation custom component for Home Assistant
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Penman-Monteith-Leuning Evapotranspiration on GEE
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…
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
Ruby library for calculating reference crop evapotranspiration (ETo)
Visualized QA/QC of weather station data
This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
Run the LWF-Brook90 hydrological model within R.
R native implementation of the Dynamic Water Balance hydrologic model in a monthly time step
Code for mapping, modeling, and validating evapotranspiration data across spatial and temporal scales
Groundwater pumping estimation in Arizona using remote sensing datasets and machine learning
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
This project develops C++ and Python standard-language software for embedding in irrigation controllers for human-supervised fully-automated distributed systems.
Using atmospheric humidity deficits to discern soil moisture deficits. Python code repository for Baldocchi et al. (2021)
A Python implementation of the MOD16 terrestrial evapotranspiration algorithm
R scripts to create surface radiation components of evapotranspiration from Landsat Satellite data
Evapotranspiration for the reference crop in Uzbekistan. Based on UN-FAO's Irrigation and Drainage Paper 56 and Penman-Monteith Equation.
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