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:package: R functions for plant recruitment analyses
R: extra tools for the raster and dismo packages.
An R package implementing a disturbance detection and quantification algorithm for high-frequency time series data
Code for Project on Diversity-Stability Relationships
Deep-learning applied to semantic segmentation of remote sensing data
Deep Learning algorithms applied to characterization of Remote Sensing time-series
Deep Leaning (DL) for remote sensing image (RSI) classification.
Introduction to convolutional neural networks (CNNs) with a remote sensing example.
Deep Learning for Climate
:package: Downscale a Spatial Raster
An R-focused pipeline toolkit for reproducibility and high-performance computing
Lessons on working with multispectral drone based data in agricultural research settings
Tools for processing drone and aerial images
Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
Calculation of Standardized Precipitation Evapotranspiration Index (SPEI) at a global scale and trend analysis.
Macrosystems drought. Scripts for the NCEAS project. July 2014
Code Repository for "Observed drought indices show increasing divergence across Europe" by Stagge et al.
Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
Calculating common drought metrics from gridded datasets
Files for the "Sensitivity of primary production to precipitation across the United States" publication in Ecology Letters (DroughtNet UNM/ASU members)
Divide and Recombined for Spatial-Temporal Analysis
Two R functions for finding dry spells in precipitation time series.
A synthesis of dryland restoration methods.
a paper about demographic species distribution models
Tensorflow implementation for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Different Successional Stages' Interspecific Relationships of Degraded Vegetation
Raster operations with data.table
Time-Weighted Dynamic Time Warping for satellite image time series analysis
Modelling desert dust exposure in epidemiological studies for the short-term health effects
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.