{"id":509,"date":"2021-08-12T15:42:06","date_gmt":"2021-08-12T15:42:06","guid":{"rendered":"https:\/\/eodatahub.com\/?page_id=509"},"modified":"2021-10-11T14:39:09","modified_gmt":"2021-10-11T14:39:09","slug":"libraries","status":"publish","type":"page","link":"https:\/\/eodatahub.com\/index.php\/libraries\/","title":{"rendered":"Libraries"},"content":{"rendered":"
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S.No<\/span><\/th>\n\u00a0Libraries<\/span><\/th>\nDescription<\/span><\/th>\nSource<\/span><\/th>\n<\/tr>\n<\/thead>\n
1.<\/td>\nPDAL<\/td>\nPDAL is a C++ library for translating and manipulating point cloud data.<\/td>\npdal<\/a><\/td>\n<\/tr>\n
2.<\/td>\nRSGISLib<\/td>\nThe Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings.<\/td>\nrsgis<\/a><\/td>\n<\/tr>\n
3.<\/td>\nGDAL<\/td>\nGDAL is a translator library for raster and vector geospatial data formats.<\/td>\ngdal<\/a><\/td>\n<\/tr>\n
4.<\/td>\nTurf.js<\/td>\nTurf<\/a>\u00a0is an open-source JavaScript library that allows you to do spatial operations in the browser. Turf helps you analyze, aggregate, and transform data to visualize it in new ways and answer advanced questions.<\/td>\nturfjs<\/a><\/td>\n<\/tr>\n
5.<\/td>\npyproj<\/td>\nPython interface to PROJ (cartographic projections and coordinate transformations library).<\/td>\npyproj<\/a><\/td>\n<\/tr>\n
6.<\/td>\nShapley<\/td>\nShapely is a BSD-licensed Python package for the manipulation and analysis of planar geometric objects.<\/td>\nShapely<\/a><\/td>\n<\/tr>\n
7.<\/td>\nFiona<\/td>\nFiona reads and writes geographic data files and thereby helps Python programmers integrate geographic information systems with other computer systems. Fiona contains extension modules that link the Geospatial Data Abstraction Library (GDAL).<\/td>\nfiona<\/a><\/td>\n<\/tr>\n
8.<\/td>\nRasterio<\/td>\nGeographic 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.<\/td>\nrasterio<\/a><\/td>\n<\/tr>\n
9.<\/td>\nFolium<\/td>\nFolium\u00a0makes it easy to visualize data that\u2019s been manipulated in Python on an interactive leaflet map<\/td>\nfolium<\/a><\/td>\n<\/tr>\n
10.<\/td>\nCesiumJS<\/td>\nCesiumJS is an open-source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data.<\/td>\ncesiumjs<\/a><\/td>\n<\/tr>\n
11.<\/td>\nPotree<\/td>\nPotree is a free open-source WebGL-based point cloud renderer for large point clouds.<\/td>\npotree<\/a><\/td>\n<\/tr>\n
12.<\/td>\nKepler.gl<\/td>\nKepler.gl is a powerful open source geospatial analysis tool\u00a0for large-scale\u00a0data sets.<\/td>\nkepler.gl<\/a><\/td>\n<\/tr>\n
13.<\/td>\nHYDRAFloods<\/td>\nThe Hydrologic Remote Sensing Analysis for Floods (or HYDRAFloods) is an open-source Python application for downloading, processing and delivering surface water maps derived from remote sensing data. The basis behind the tool is to provide sensor agnostic approaches to produce surface water maps. Furthermore, there are workflows that leverage multiple remote sensing datasets in conjunction to provide daily surface water maps for flood application.<\/td>\nhydra-floods<\/a><\/td>\n<\/tr>\n
14.<\/td>\nTIMESAT<\/td>\nTIMESAT is a software package for analyzing time-series of satellite sensor data, developed by Lund University.<\/td>\ntimesat<\/a><\/td>\n<\/tr>\n
15.<\/td>\nGeopandas<\/td>\nGeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types.<\/td>\ngeopandas<\/a><\/td>\n<\/tr>\n
16.<\/td>\nCloud Compare<\/td>\nCloudCompare is a 3D point cloud (and triangular\u00a0mesh) processing software.<\/td>\ncc<\/a><\/td>\n<\/tr>\n
17.<\/td>\nMatplotlib<\/td>\nMatplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.<\/td>\nmatplotlib<\/a><\/td>\n<\/tr>\n
18.<\/td>\nBasemap<\/td>\nThe matplotlib basemap toolkit is a library for plotting 2D data on maps in\u00a0Python<\/a>. Basemap does not do any plotting on its own but provides the facilities to transform coordinates to one of 25 different map projections (using the\u00a0PROJ.4<\/a>\u00a0C library).\u00a0Matplotlib<\/a>\u00a0is then used to plot contours, images, vectors, lines, or points in the transformed coordinates. Shoreline, river, and political boundary datasets (from\u00a0Generic Mapping Tools<\/a>) are provided, along with methods for plotting them.<\/td>\nbasemap<\/a><\/td>\n<\/tr>\n
19.<\/td>\nXarray<\/td>\nxarray (formerly xray) is an open-source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.<\/td>\nxarray<\/a><\/td>\n<\/tr>\n
20.<\/td>\nLAStools<\/td>\nLAStools is an efficient solution for batch-scripted multi-core LiDAR processing.<\/td>\nlastools<\/a><\/td>\n<\/tr>\n
21.<\/td>\nExifTool<\/td>\nExifTool is a platform-independent Perl library plus a command-line application for reading, writing and editing meta information in a wide variety of files.<\/td>\nexiftool<\/a><\/td>\n<\/tr>\n
22.<\/td>\nOpenDroneMap<\/td>\nA command-line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.<\/td>\nopendronemap<\/a><\/td>\n<\/tr>\n
23.<\/td>\nMapServer<\/td>\nMapServer is an open-source development environment for building spatially-enabled internet applications.<\/td>\nmapserver<\/a><\/td>\n<\/tr>\n
24.<\/td>\nGeoDjango<\/td>\nGeoDjango is a Django module used for creating geographic applications.<\/td>\ndjango<\/a><\/td>\n<\/tr>\n
25.<\/td>\nOpenLayers<\/td>\nOpenLayers is a free, open-source library, extensively used as a mapping library for web browsers. OpenLayers makes it easy to put a dynamic map on any web page<\/td>\nopenlayers<\/a><\/td>\n<\/tr>\n
26.<\/td>\nLEAFLET<\/td>\nLeaflet is a mapping library for web browsers, written in JavaScript. It is not as fully featured as OL(OpenLayers) but has higher adoption on the web.<\/td>\nleafletjs<\/a><\/td>\n<\/tr>\n
27.<\/td>\nPROJ4JS<\/td>\nProj4J is a JavaScript library for web applications. It transforms point coordinates from one coordinate system to another, including datum transformations.<\/td>\nproj4js<\/a><\/td>\n<\/tr>\n
28.<\/td>\nOSMnx<\/td>\nOSMnx is a Python package that lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street networks and any other geospatial geometries.<\/td>\nosmnx<\/a><\/td>\n<\/tr>\n
29.<\/td>\nnetCDF4<\/td>\nnetcdf4-python is a Python interface to the netCDF C library. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format and can create files that are readable by HDF5 clients.<\/td>\nnetcdf4<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

S.No \u00a0Libraries Description Source 1. PDAL PDAL is a C++ library for translating and manipulating point cloud data. pdal 2. RSGISLib The Remote Sensing and GIS software library (RSGISLib) is a collection of tools for processing remote sensing and GIS datasets. The tools are accessed using Python bindings. rsgis 3. GDAL GDAL is a translator…
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