MAGALA-RICHARD / apsimNGpy
ApsimNGpy is a Python library designed as an implementation of the APSIM Next Generation crop and environmental simulation model. This library is built upon the Pythonnet API, providing direct communication with the APSIM model. Notably, it offers a significant speed advantage, being twice as fast as the graphical user interface for simulations.
☆22Updated this week
Alternatives and similar repositories for apsimNGpy:
Users that are interested in apsimNGpy are comparing it to the libraries listed below
- sebkc: Surface Energy Balance and Crop Coefficient Estimation with R☆17Updated last year
- R package: Extract Remote Sensing Vegetation Phenology by TIMESAT V3.3 Fortran library (only for windows)☆29Updated 3 years ago
- ASCE Standardized Reference Evapotranspiration Functions for Google Earth Engine (GEE)☆23Updated last month
- From Sentinel 2 TOA reflectance to LAI☆21Updated 4 years ago
- This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and relat…☆12Updated 10 months ago
- Python package to automatically generate gridded climate data to be used as input for crop models☆13Updated 3 years ago
- a robust MODIS snow cover and phenology product (Google Earth Engine codebase)☆20Updated 10 months ago
- Another Gridded Modeling Framework☆19Updated last month
- A new open source and web tool to estimate actual ET based on SEBAL model.☆34Updated last year
- This repository provides a code to model Land Surface Temperature (LST) as one of the most important environmental factors used to monito…☆10Updated 3 years ago
- R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various…☆22Updated this week
- Remote Sensing of Ice Albedo with GEE☆19Updated last year
- ☆21Updated last year
- Codes working in the R environment to apply rainfall-runoff hydrological models☆11Updated 3 years ago
- The Optical Reef and Coastal Area Assessment (ORCAA) tool in Google Earth Engine allows users to monitor, track, and evaluate water param…☆13Updated 4 years ago
- An Ensemble Kalman filter (EnKF) data assimilaiton framework for the Agricultural Production Systems sIMulator (APSIM) model.☆11Updated 2 years ago
- Visualized QA/QC of weather station data☆22Updated last month
- ☆18Updated 3 years ago
- A R package that wraps the LPJ-GUESS model☆18Updated 3 years ago
- HarvestStat-Africa: Open Access Harmonized Subnational Crop Statistics☆13Updated 3 weeks ago
- Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.☆18Updated 2 years ago
- LPJmLmdi - model-data integration for the LPJmL dynamic global vegetation model (R package)☆12Updated 3 years ago
- Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)☆48Updated 5 years ago
- Tools for manipulating (exporting, extracting) AgERA5 data☆17Updated last month
- some tools for accessing OCO-2 data☆43Updated 4 years ago
- Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"☆20Updated 2 years ago
- Semi-supervised water storage retrieval using Sentinel-2☆17Updated 4 years ago
- ☆14Updated 2 years ago
- Algorithms to derive a land surface phenology product from PlanetScope imagery for AmeriFlux and NEON sites☆17Updated last year
- The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.☆36Updated 2 years ago