Showing 19 open source projects for "earth"

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  • 1
    geemap

    geemap

    A Python package for interactive geospaital analysis and visualization

    A Python package for interactive geospatial analysis and visualization with Google Earth Engine. Geemap is a Python package for geospatial analysis and visualization with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. ...
    Downloads: 4 This Week
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  • 2
    GemGIS

    GemGIS

    Spatial data processing for geomodeling

    ...Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export from GemPy to geoinformation systems such as QGIS and ArcGIS or to Google Earth for further use.
    Downloads: 0 This Week
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  • 3
    leafmap

    leafmap

    A Python package for interactive mapping and geospatial analysis

    ...Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. ...
    Downloads: 0 This Week
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  • 4
    WxMAP2
    A python-based system to diagnosis and make weather maps (wxmap) of numerical weather prediction models using the Grid Analysis and Display System (GrADS) from opengrads.org
    Downloads: 3 This Week
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  • 5
    Autoplot

    Autoplot

    Autoplot is an interactive browser for data on the web

    Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting!
    Downloads: 0 This Week
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  • 6

    ccplot

    CloudSat and CALIPSO plotting tool

    ccplot is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products.
    Downloads: 2 This Week
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  • 7
    GPlates

    GPlates

    Interactive visualization of plate tectonics.

    GPlates is a plate-tectonics program. Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts.
    Downloads: 2 This Week
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  • 8

    Spectral Python

    A python module for hyperspectral image processing

    Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
    Downloads: 0 This Week
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  • 9
    GEOMS2

    GEOMS2

    Geostatistics and geosciences modeling software

    GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum...
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    Downloads: 5 This Week
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  • 10
    RoiView
    Explore InSAR data and more
    Downloads: 0 This Week
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  • 11
    UV-CDAT

    UV-CDAT

    Ultrascale Visualization Climate Data Analysis Tools

    Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems.
    Downloads: 0 This Week
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  • 12
    gsdview
    Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.
    Downloads: 0 This Week
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  • 13
    cca-forum
    Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
    Downloads: 0 This Week
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  • 14
    Python app using wxWidgets that does some simple visualizations of topographical data, including 3D model, contour lines, and elevation profiles.
    Downloads: 0 This Week
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  • 15
    Global Village is a UI for xplanet on the Gnome desktop
    Downloads: 0 This Week
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  • 16
    This application provides a web based visual browser for NetCDF files. The application provides a simple and friendly user interface for getting a quick overview of the data contained in the files.
    Downloads: 4 This Week
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  • 17
    This is a python package that allows one to easily create timelines in object-oriented python which later renders to HTML.
    Downloads: 0 This Week
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  • 18
    This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.
    Downloads: 0 This Week
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  • 19
    This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.
    Downloads: 0 This Week
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