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Name: Michael Mann
Type: User
Company: The George Washington University
Bio: Spatial Modeling | Python | R | Machine Learning | Remote Sensing
Location: Washington DC
Name: Michael Mann
Type: User
Company: The George Washington University
Bio: Spatial Modeling | Python | R | Machine Learning | Remote Sensing
Location: Washington DC
Pangeo Example Notebooks
This project aims to utilize a rasberry pi 3 to calculate the frequency of truck and buses on the street outside my house. Since we live near a FedEx distribution center I am particularly interested in counting the number fedex delivery trucks on my street.
A python script for downloading clips of satellite images from Planet Labs
Combining satellite imagery and machine learning to predict poverty
A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
This repository walks through the simple process of retraining an inception_v3 model to identify wheat growing areas that are damaged by lodging.
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --
Spatial classification and regression using Scikit-learn and Rasterio
Machine learning modelling for spatial data
Generate distance raster given set of geometry features
👩🏫🐍 Starter repo for building interactive Python courses
This repository presents all the code for final projects for my introductory level Programming for Geospatial Applications for 2015.
Creates randomly located boxes of a fixed size
A conda-smithy repository for rasterio.
Repository for sharing html generated with rmd
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Starter pack for the AI4Food challenge organised by TUM/DLR, Planet and Radiant Earth
Satsense is a Python library for land use/cover classification using satellite imagery
Library for smoothing satellite signals
A parser for Google Scholar, written in Python
Course materials for the Automating GIS processes -course, University of Helsinki, Finland
Metadata-aware machine learning.
GIS and Spatial Analysis lecture notes
In this study we seek to determine the correlation between contextual features calculated on Very High Spatial Resolution (VHSR) satellite data and urban attributes derived from Open Street Map (OSM) for portions of multiple cities in Sri Lanka. Results indicate that individual contextual features are highly correlated with building area, building density, road area, road density, total built up areas and other features. Moreover, when multiple contextual features are combined within a model, they can explain from 70 to 92 percent of the variance of these urban features within the study area. Please cite: Engstrom, Ryan. Harrison, Robert. Mann, Michael (2019) "Evaluating the Relationship Between Contextual Features Derived from Very High Spatial Resolution Imagery and Urban Attributes: A Case Study in Sri Lanka". JURSE
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Official repository for Citation Style Language (CSL) citation styles.
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.