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Software Highlights

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1-12 of 13

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

Big data
geospatial
Machine learning
+ 1

Python
Jupyter Notebook
TeX

MapReader

MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.

computer vision
digital humanities
geospatial
+ 4

Jupyter Notebook
Python
TeX

Introduction to Geospatial Raster and Vector Data with Python

This lesson material shows how practical geospatial data analysis tasks can be carried out using Python

Data Analysis
geospatial
Image processing
+ 4

dhdt

A photohypsometric Python library to estimate glacier elevation change via optical remote sensing imagery

geospatial
Glacier
image
+ 2

Python
TeX

Geodisy

Geodisy is a research data discovery tool that harvests information from existing research data repositories and displays applicable records onto a map-based search interface.

geospatial
metadata
research data

Java
Ruby
XSLT
+ 6

snakemake-wrf

A snakemake workflow to run WRF, including pre- and postprocessing. See our blog post for a detailed description.

geospatial
High performance computing
python
+ 1

Jupyter Notebook
Python
Shell

CanWIN

CanWIN (Canadian Watershed Information Network) is the data centre for the Centre for Earth Observation Science (CEOS). We support research and education, and inform management, policy and evidence based decision-making from the Nelson River Watershed to the Arctic.

Arctic
geospatial
metadata
+ 4

IMAGE-LAND-LUE

This is a free and open source software (FOSS) Python version of the simulation model IMAGE-land, the land cover change model from the IMAGE 3.1 Integrated Assessment Model (IAM). Most, but not all, capabilities of the original model are included.

geospatial
integrated assessment model
land use change
+ 2

Python

m4ma

An R package containing C++ implementations to speed up the simulation and parameter estimation of the Predictive Pedestrian model.

geospatial
High performance computing
Real time data analysis

Springtime

Spatiotemporal phenology research with interpretable models

geospatial
Machine learning
phenology

Python
Dockerfile

STAC2dCache

STAC2dCache is a Python tool to create and manipulate STAC catalogs on a dCache storage system.

Data
geospatial
metadata
+ 2

Jupyter Notebook
Python

Streetscapes

Streetscapes is a package for code for downloading, segmenting and analysing images from Mapillary and KartaView.

deep learning
geospatial
Image processing
+ 2

Python