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Long list of geospatial tools and resources
a fast, scalable, multi-language and extensible build system
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
Training materials for Bangladesh Workshop
A repository of custom scripts to be used with Sentinel Hub
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Educational Resources on Neural Networks for Ecology and Remote Sensing
Code to extract MAP covariates from Earth Engine
processing script for Sentinel-2 and Landsat-8
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
Fiona-Rasterio-Shapely Cheat Sheet
Cheat sheet for GDAL/OGR command-line tools
Geog 2021 Environmental Remote Sensing
Notebooks and libraries for spatial/geo Python explorations
Introduction to Geospatial Raster and Vector Data with Python
PyTorch实现高分遥感语义分割(地物分类)
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Image Classification using SVM
#image classification #support vector machine
A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python
Land use classifier built on python for landsat multispectral images.
Code for spatially and temporally generalizable regional land cover mapping
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.
Python Client Library for Land Cover Classification System Web Service
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.