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General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
R-Codes for RSE manuscript "Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass"
R-scripts entitled "Using Multi-Sensor Data to Derive a Landscape-Level Biomass Map Covering Multiple Vegetation Types"
Basic tutorial for the 3DFin workflow in CloudCompare
ESDL report
homepage
Best subset selection for a model with a given number of predictors using exhausitive search
batch process reprojection of modis files
Calculate landscape metrics in R based on a land-cover classification of Sentinel-2
A tutorial explaining how to run a unet segmentation in PyTorch using Geotiffs as input
GeForse - Generating Syntethic Forest Remote Sensing Data
Automated download of Sentinel-2 L1C data from ESA (through wget) :http://olivierhagolle.github.io/Sentinel-download
R-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029
scripts doing some simple experiments related to the spectral variability hypothesis
Code to process NDVI time series for the Tibetan Plateau
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.