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An R script for calculating the Thornthwaite Potential Evapotranspiration on global temperature raster layers
Script for the calculation of MCWD (Maximun Cumulative Water Deficit) in rainfall raster data (e.g. CHIRPS and TRMM). Calculation based in Aragão et al. (2007, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2006GL028946).
R package to rasterize and summarise IUCN range data
The rasterTools package provides a toolchain for a transparent and reproducible workflow to obtain and process spatial (earth observation) data for an evidence based approach to landscape ecological questions.
Some raster tools I have written to speed up common processing tasks at SNAP.
The raster package defines classes and methods for spatial raster data access and manipulation. The rasterVis package complements raster providing a set of methods for enhanced visualization and interaction.
R package to download and calculate meteorological indices
The missing link between spreadsheets and data visualization
:exclamation: This is a read-only mirror of the CRAN R package repository. Rbeast — Bayesian Change-Point Detection and Time Series Decomposition
R tools for posterior analyses using BEAST
Simple R package to download past present and future climate maps of the world
RClimTool has been designed in order to support and automate the analysis process of climatic time series. It is not intended to compete, or supplant other tools available and developed by other entities.
Python and R code for bias correction and empirical-statistical downscaling of GCM projections for the Red River basin in Vietnam.
Applications of Empirical Dynamic Modeling from Time Series
Applications of Empirical Dynamic Modeling from Time Series
Code for using Empirical Dynamic Modeling and Convergent Cross Mapping (adapted from code by authors: https://cran.r-project.org/web/packages/rEDM/vignettes/rEDM-tutorial.html)
Calculating distance travelled, variance index, fisher information, and other early-warning indicators of regime shifts
These codes are used to downscale the regional climate datasets (Gaussian Grid)
Supplementary material (R code) for the article "Unveiling geographic gradients of species richness from scant occurrence data" in Global Ecology and Biogeography
create a map by R
Remote sensing datasets and sources.
Using time series analysis of satellite imagery to predict conifer tree mortality due to the 2012-2016 drought in the Sierra Nevada mountain range of California.
Implementing a remote sensing object detector using Tensorflow object detection API
A list of interesting websites, browsers, books, data sources... etc in Remote Sensing / Earth Observation
Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning Strategy Based on Deep Convolutional Neural Networks
深度学习图像分类的入门教程
Remote sensing image classification based on deep learning
classification of remote sensing images using Convolutional Neural Networks (CNN)
The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
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.