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Validate two sets of remote sensing rainfall data TRMM and CHIRPS with rain gauge stations and choose the most fitting product per rainfall station.
Supplemental data for paper "Temporal patterns and biophysical controls on methane emissions from a small eutrophic reservoir: insights from two years of eddy covariance monitoring"
Matlab routines for calculating motion corrections and eddy covariance using a Nortek ADV
This repository provides the R codes and results for the paper by Chu et al. (2018) Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks, Geophysical Research Letters
The codes for the "Robust Inference of Ecosystem Soil Water Stress from Eddy Covariance Data" published in Agricultural and Forest Meteorology
an R package for energy balance and actual evapotranspiration retrieving using satellite images and agrometeorological data
Visualized QA/QC of weather station data
framework for developing machine (and deep) learning models for structured data
Analysis of flux footprint in fragmented heterogeneous canopy
Part I - WeatherPy In this example, you’ll be creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. To accomplish this, you’ll be utilizing a simple Python library, the OpenWeatherMap API, and a little common sense to create a representative model of weather across world cities.
Attempt to curate a uniform database of flux measurements (eddy covariance method) and related met data taken from arctic/sub-arctic locations
Various notebooks about the Atmospheric General Circulation (radiative budget, meridional transport, zonal and transient anomalies, meridional eddy heat and momentum fluxes)
python数据可视化之美
《R语言数据可视化之美》配套代码
matlab绘制漂亮的双y轴坐标图
BEPS Evapotranspiration and Photosynthesis model in Julia
Binary Converter for ETH eddy covariance binary raw data to ASCII
:exclamation: This is a read-only mirror of the CRAN R package repository. bigleaf — Physical and Physiological Ecosystem Properties from Eddy Covariance Data. Homepage: https://bitbucket.org/juergenknauer/bigleaf Report bugs for this package: https://bitbucket.org/juergenknauer/bigleaf/issues
Code and input data for the analysis described in the manuscript: "Satellite remote sensing reveals the footprint of biodiversity on multiple ecosystem functions across the NEON eddy covariance network" by Gomarasca et al.
Python-based project for dealing with Bio-optical and Marine Remote Sensing applications. MERIS validation.
Machine Learning techniques on Eddy Covariance Flux tower, CIMIS, MODIS, and Landsat data
BoSSS is a flexible framework for the development, evaluation & application of numerical discretization schemes based on the Discontinuous Galerkin method
My final Bachelor Thesis Research project at Maastricht Science Programme. Assessing environmental drivers of surface energy balance in an endorheic lagoon using eddy covariance data.
Model code for bulk-surface energy balance approach
BVP signal filtering using various techniques such as variance and frequncy filters. Calculating Heart Rate from BVP signal
Comparison between remote sensing products and eddy covariance in a Banksia woodland
ETL functions to process data from eddy covariance flux towers
Capstone project from the Data Analysis and Mining in R course, created using R Shiny, HTML, and CSS.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.