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earthenterprise - Google Earth Enterprise - Open Source
Earth Enterprise is the open source release of Google Earth Enterprise, a geospatial application which provides the ability to build and host custom 3D globes and 2D maps. Earth Enterprise does not provide a private version of Google imagery that's currently available in Google Maps or Earth.Refer to the wiki for instructions on building from source on one of these platforms.
earth 2d-map earth-enterprise 3d-globe fusion imagery gis c-plus-plus gdal raster vector terrainrasterio - Rasterio reads and writes geospatial raster datasets
Rasterio reads and writes geospatial raster data.Geographic information systems use GeoTIFF and other formats to organize and store gridded, or raster, datasets. Rasterio reads and writes these formats and provides a Python API based on N-D arrays.
gis raster gdal cli cythongdal - GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
raster geospatial-data vectorfree-gophers-pack - ✨ This pack of 100+ gopher pictures and elements will help you to build own design of almost anything related to Go Programming Language: presentations, posts in blogs or social media, courses, videos and many, many more
Of course there are some nice deals in the shop, for example free shipping and so on. There are special illustrations with life situations, goroutines and individual characters. Take a look at the examples to see how cool they might look in real life.
goroutine illustration illustrations vector raster png svg gophers gopher character mascot presentation social-media blog course education charity freeOpenPainter
A Photoshop-like raster-based image editor, which is built on .NET/Mono to try to achieve cross-platform capability.
image-editing photoshop picture-editor rasternode-gdal - Node.js bindings for GDAL (Geospatial Data Abstraction Library)
Read and write raster and vector geospatial datasets straight from Node.js with this native GDAL binding. GDAL 2.0.1 (GEOS 3.4.2, Proj.4 4.8.0) comes bundled, so node-gdal will work straight out of the box. To get started, browse the API Documentation or examples. This binding is a collaboration between Natural Atlas and Mapbox. Its contributors are Brandon Reavis, Brian Reavis, Dane Springmeyer, Zac McCormick, and others.
gdal geo gis libgdal ogr geos geography geospatial raster vector gtiff geojson mappingsvg-to-image - convert SVG text to a Image that can be drawn in canvas
Converts a string of SVG into an HTMLImageElement using Blob and URL.createObjectURL. Falls back to encodeURIComponent for unsupported browsers, such as Safari 8.0.A common use case for this is rendering SVG to a 2D or WebGL canvas.
convert svg to canvas image png blob file url dom raster rasterizelerc - Limited Error Raster Compression
LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type (not just RGB or Byte). Users set the maximum compression error per pixel while encoding, so the precision of the original input image is preserved (within user defined error bounds). This repository contains both a C++ library for encoding/decoding images and JavaScript, C#, and Python decoders.
data-management native-development compression lerc-byte-blob raster encoding raster-compression decoding band imagery image image-processing image-compression image-compressor c-plus-plus c-sharp pixel decoding-imagesmdcs-py - MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters
The Mosaic Dataset Configuration Script (MDCS) is a Python script that reads parameters stored in an xml file in order to create, configure, and populate a mosaic dataset. If you want to try out MDCS, review the documentation included in the repo for instructions, and download the suggested sample data from ArcGIS Online.
data-management mosaic-datasets workflow imagery rasters image rasterOptimizeRasters - OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies
OptimizeRasters is a set of tools for accomplishing three tasks: converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies. The result is more efficient, scalable, and elastic data access with a lower storage cost. OptimizeRasters converts a variety of non-optimized raster formats into optimized Tiled TIF or MRF formats. File conversion speeds up read performance in three ways. First, it improves the data structure, which makes data access and transfer (especially from cloud storage) more efficient. Second, it generates pyramids, which provides faster access to data at smaller scales. Third, it offers optional compression, which further reduces the amount of data stored and transmitted.
data-management cloud-storage raster-proxies arcgis mrf azure amazon-s3-storage imagery rasters image-processing raster-formats image rasterraster-functions - A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS
This repository houses modern image processing and analytic tools called raster functions. Raster functions are lightweight and process only the pixels visible on your screen, in memory, without creating intermediate files. They are powerful because you can chain them together and apply them on huge rasters and mosaics on the fly. In this repository, you will find useful function chains (*.rft.xml) created by the Esri community. You can also create custom raster functions in Python that work seamlessly with the several dozen functions that ship with ArcGIS.
raster raster-functions spatial-analysis raster-analysisraster-tiles-compactcache - Compact Cache V2 is used by ArcGIS to store raster tiles
The Compact Cache V2 is the current file format used by ArcGIS to store raster tiles. The Compact Cache V2 stores multiple tiles in a single file called a bundle. The bundle file structure is very simple and optimized for quick access, the result being improved performance over other alternative formats. This repository contains documentation, a sample cache and a Python 2.x code example of how to build Compact Cache V2 bundles from individual image tiles.
raster imagery data-management cache compact-cache tiles bundle rasters image-processingWAB-Image-Services-Widgets - Web AppBuilder widgets for Image Services (WABIS)
Web AppBuilder for Image Services (WABIS) is a set of custom widgets to be used in Web AppBuilder that are designed to work with image services. Find a bug or want to request a new feature? Please let us know by submitting an issue.
web-development imagery webapp-builder widget webmaps image rasters rasterweighted-raster-overlay-service-toolbox - Tools to help you setup a mosaic dataset to support fast, web-based suitability analysis
Tools to create and configure raster data for web-based weighted overlay to support suitability modeling. This python toolbox helps you create and configure a mosaic dataset for use in a web-based weighted overlay analysis service. You can use these services from web-based clients like GeoPlanner for ArcGIS and Web AppBuilder for ArcGIS to help find the best place or identify risks in an area.
spatial-analysis database rasterLeaflet.CanvasLayer.Field - Load and style Raster files in Leaflet (geotiff & asciigrid)
A plugin for LeafletJS that adds layers to visualize fields (aka Rasters) from ASCIIGrid or GeoTIFF files (EPSG:4326). This plugin extends L.CanvasLayer Leaflet Plugin by Stanislav Sumbera and uses geotiff.js by Fabian Schindler. For the 'arrow' renderer, it includes a modified portion of leaflet-geotiff by Stuart Matthews.
leaflet leaflet-plugin raster canvas geotiff asciigrid vectorfield wind currents animation mapsunmixing - Interactive tools for spectral mixture analysis of multispectral raster data
Because this is a scientific library, there are complex dependencies that may be difficult to install. For GNU/Linux systems, particularly Ubuntu, look at install.sh for a guide on installing the system dependencies required for the Python dependencies. Many of the core packages, particularly NumPy and SciPy, have wide adoption and use. They also take a lot of time and clock cycles to compile into a virtual environment. Consequently, it is recommended that these libraries be installed globally (system-wide).
lsma raster remote-sensing multispectral-images earth-observationgdal2tiles-leaflet - Generate raster image tiles for use with leaflet.
Generate raster image tiles for use with leaflet. Example in action.
tile-generator leaflet raster coordinatesleaflet-rastercoords - Leaflet plugin for plain image map projection to display large images using tiles generated with gdal2tiles-leaflet
See the plugin in action on https://commenthol.github.io/leaflet-rastercoords/. The tiles in the example were generated using gdal2tiles-leaflet. Take a look at example/createtiles.sh.
leaflet-plugin raster coordinates tiled-image-viewer leaflet mapsnspl - pure scala plotting library
Creates scatter, line, contour, raster, barplots and boxplots, histograms, density plots. Composite figure of multiple plots. Minimal dependencies (VectorGraphics2D for PDF output).
scalatags plot scala-plotting-library svg html5-canvas raster jvm
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