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this is an implement of DenseNet using keras ,this project can do Remote sensing image classifiy or retrieval.I trained and evaluated this model on a dataset called PatternNet.
Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
K Factor calculation, part of the Universal Soil Loss Equation
Sentinel-based land-cover prediction for the Kilimanjaro region.
Supervised and unsupervised self-organising maps
This repository holds the code used to generate the results in Kok et al., Nature Geoscience, 2017.
This repository contains the data and scripts needed to produce the figures in the main text of Kok et al., Global and regional importance of the direct dust-climate feedback, Nature Communications, 2018.
An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for MediumโRange Weather Forecasts (ECMWF).
L-egume is an individual-based model for the simulation of population dynamics in herbaceous legume species. It is part of the Virtual GrassLand model (VGL) developed on the OpenAlea platfom.
Visualization code for Landsat 8
๐๏ธ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Evaluate Granger Causality between two or more time series by adopting the Laguerre base function to "compress" information
remote sensing change detection project with package ChangeDetectR
Create binary lake masks from Landsat images with R
Classification in Remote Sensing Optical Images by CNNs
Functions for downloading and processing MODIS Land_Cover_Type_1 data
These scripts show how I used Google Earth Engine to estimate Central Valley land fallowed due to drought between 2010 and 2015.
Processing of global environmental layers at various resolutions
Landmap package for R
An ArcGIS that can be used to assess land degradation
Get Landsat surface reflectance time-series from google earth engine
An automated system for creating spectrally consistent and cloud-free Landsat image time series stacks from a combination of MSS, TM, ETM+, and OLI sensors
Landscape Metrics for Categorical Map Patterns ๐บ๏ธ in R
A web API for running and modifying State and Transition Simulation models.
๐ฆ R package for some of the less-glamorous tasks involved in landscape analysis ๐
Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel
code to import, read and display land use data prepared for the CMIP6 earth system model results
Land use classification or Landform delineation on remote sensing images. Specifically, this repo is to delineate landforms due to the thawing of ice-rich permafrost using Deep Learning.
This contains the code for the land use change model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.