European Facility For Airborne Research July 19, 2019, 07:40
To facilitate airborne research measurements, a number of EUFAR’s activities are dedicated to developing and maintaining a range of toolboxes that serve to assist operators and researchers with the handling of data. From in-situ or remote sensing data collection to data processing, analysis and archiving, these toolboxes are made freely accessible on or via the EUFAR website and are documented in user manuals.
The Standards and Protocols (S&P) activity aims to efficiently integrate data in the EUFAR database and ensure its interoperability with other standards by developing and updating open-source data processing toolboxes. The activity also keeps track of existing open-source toolboxes, which would be relevant for operators and users within EUFAR. For example, the S&P team proposes a set of tools dedicated to the processing of in-situ data (EGADS) and the creation of INSPIRE compliant metadata for in-situ and hyperspectral data (EMC and ASMM). Through the Database activity, data from EUFAR transnational access campaigns are stored and made widely accessible online through a single gateway, with a search tool to facilitate locating specific data (EFF). In addition, data are stored in community compliant data formats with well-documented supporting metadata. Toolboxes are also developed as part of EUFAR’s Education & Training activity with the aim to familiarise and assist early researchers participating in training courses with the different aspects of airborne research for the environment. EUFAR’s Joint Research Activities are dedicated to developing methodologies and tools for the integrated use of airborne hyperspectral imaging and airborne laser scanning data (HYLIGHT and HYSOMA).
Tools found: 37
This project intends to develop a tool for creating, modifying and viewing Airborne Science Mission Metadata (ASMM) XML files.
The EUFAR Metadata Creator intends to make a database compatible with INSPIRE initiative by creating a standard set of metadata.
The EUFAR General Airborne Data-processing Software is a toolbox for processing airborne atmospheric data.
The EGADS GUI is a graphical interface to interact easily with EGADS and other modules without the need of a Python script.
The main objective of the HYLIGHT joint research activity is to improve hyperspectral imaging processing using airborne laser scanning
The HYSOMA is a software for soil mapping applications of hyperspectral imagery developed by GFZ German Research Center for Geosciences.
The IOP model was provided in EGADS toolbox and is now available as a standalone.
The ARTMO GUI provides essential tools for running and inverting a suite of plant RTMs.
The EnMAP Box is a free software designed to process hyperspectral remote sensing data and EnMAP sensor data.
GMT is an open source collection of about 80 command-line tools for manipulating geographic and Cartesian data sets.
HiiHAT is an intelligent assistant to help analysts efficiently browse, summarize, and search hyperspectral images.
The HSDAR package contains classes and functions to manage, analyse and simulate hyperspectral data.
HyperCube is a program created by ERDC’s Geospatial Research Laboratory (GRL) that analyzes and displays multi- and hyper-spectral imagery.
HyperMix is a free open source tool, including several popular algorithms, dedicated to remote sensed hyperspectral image unmixing.
HyperSpy is an open source Python library which provides tools to facilitate the interactive data analysis of multi-dimensional datasets.
LASTools is a collection of highly efficient, batch-scriptable, multicore command line tools to classify, tile, convert, filter, raster ...
MultiSpec is a processing system for interactively analyzing Earth observational multispectral image data, such as that produced by Landsat.
NPLUnc_101 and NPLUnc_102 are software to promote and support the use of the Guide to the expression of uncertainty in measurement (GUM).
The aim of OPALS is to provide a complete processing chain for processing airborne laser scanning data (waveform decomposition, ...
The Processing Routines in IDL for Spectroscopic Measurements (PRISM) provides a framework to conduct spectroscopic analysis.
PROJ.4 is a standard Unix filter function which converts geographic longitude and latitude coordinates into cartesian coordinates.
PulseWaves is an open, vendor-neutral, stand-alone, LAS-compatible effort for exchange format concerning geo-referenced full wave LiDAR.
Spectronon is a data acquisition and analysis software package, it provides hyperspectral data visualization and analysis capabilities.
SPy is a pure Python module for reading, displaying, processing, manipulating, and classifying hyperspectral image data.
The EUFAR Flight Finder tool is a geospatial-temporal search interface to locate EUFAR data within the EUFAR data archive at CEDA.
Hands-on lesson and data for ARTMO
Hands-on lesson and data on data fusion of airborne hyperspectral images and LiDAR data for vegetation species classification
Videos, hands-on lessons and data for airborne hyperspectral remote sensing
Hands-on lesson, data and scripts for airborne LiDAR data processing in forestry
Hands-on lesson, data and code on INFORM (Atzberger, 2000; Schlerf & Atzberger, 2006), a SAIL-like canopy model modified to simulate forest
Hands-on lessons for airborne measurements in atmospheric science: focus on turbulence and clouds (TETRAD).
Hands-on lesson and data for vegetation studies with pktools (SWAMP).
Explore any part of the world with ArcGIS Earth, work with a variety of data formats, display data, sketch placemarks, measure distances.
GRASS GIS is a free and open GIS software suite used for geospatial data management, analysis, image processing, graphics, spatial modeling.
gvSIG, the Open Source Geographic Information System, a powerful, user-friendly, interoperable GIS used by thousands of users worldwide.
QGIS is a user friendly Open Source Geographic Information System (GIS) and developed by the Open Source Geospatial Foundation (OSGeo).
SAGA is a free open source GIS software and has been designed for an easy and effective implementation of spatial algorithms.
This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 312609