UPGRADE OF FOSS DATE PLUG-IN: IMPLEMENTATION OF A NEW RADARGRAMMETRIC DSM GENERATION CAPABILITY

Synthetic Aperture Radar (SAR) satellite systems may give important contribution in terms of Digital Surface Models (DSMs) generation considering their complete independence from logistic constraints on the ground and weather conditions. In recent years, the new availability of very high resolution SAR data (up to 20 cm Ground Sample Distance) gave a new impulse to radargrammetry and allowed new applications and developments. Besides, to date, among the software aimed to radargrammetric applications only few show as free and open source. It is in this context that it has been decided to widen DATE (Digital Automatic Terrain Extractor) plug-in capabilities and additionally include the possibility to use SAR imagery for DSM stereo reconstruction (i.e. radargrammetry), besides to the optical workflow already developed. <br><br> DATE is a Free and Open Source Software (FOSS) developed at the Geodesy and Geomatics Division, University of Rome “La Sapienza”, and conceived as an OSSIM (Open Source Software Image Map) plug-in. It has been developed starting from May 2014 in the framework of 2014 Google Summer of Code, having as early purpose a fully automatic DSMs generation from high resolution optical satellite imagery acquired by the most common sensors. <br><br> Here, the results achieved through this new capability applied to two stacks (one ascending and one descending) of three TerraSAR-X images each, acquired over Trento (Northern Italy) testfield, are presented. Global accuracies achieved are around 6 metres. These first results are promising and further analysis are expected for a more complete assessment of DATE application to SAR imagery.

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First analysis of software metrics

10.53731/r294649-6f79289-8cvzx ◽

2015 ◽

Author(s):

Martin Fenner

Keyword(s):

Open Source ◽

Open Source Software ◽

Software Metrics ◽

Software Repositories ◽

First Results

Last week I wrote about software.lagotto.io, an instance of the lagotto open source software collecting metrics for the about 1,400 software repositories included in Sciencetoolbox. In this post I want to report the first results analyzing the data.Number of software repositories (out of 1,404) ...

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An open-source based toolchain for the georeferencing of old cadastral maps

10.7287/peerj.preprints.2222v2 ◽

2016 ◽

Author(s):

Jean-Michel Follin ◽

Maïté Fahrasmane ◽

Élisabeth Simonetto

Keyword(s):

Land Cover ◽

Open Source ◽

Programming Language ◽

Open Source Software ◽

Human Activities ◽

Historical Data ◽

Cadastral Maps ◽

First Results ◽

The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

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An open-source based toolchain for the georeferencing of old cadastral maps

10.7287/peerj.preprints.2222v3 ◽

2016 ◽

Author(s):

Jean-Michel Follin ◽

Maïté Fahrasmane ◽

Élisabeth Simonetto

Keyword(s):

Land Cover ◽

Open Source ◽

Programming Language ◽

Open Source Software ◽

Human Activities ◽

Historical Data ◽

Cadastral Maps ◽

First Results ◽

The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

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An open-source based toolchain for the georeferencing of old cadastral maps

10.7287/peerj.preprints.2222v1 ◽

2016 ◽

Author(s):

Jean-Michel Follin ◽

Maïté Fahrasmane ◽

Élisabeth Simonetto

Keyword(s):

Land Cover ◽

Open Source ◽

Programming Language ◽

Open Source Software ◽

Human Activities ◽

Historical Data ◽

Cadastral Maps ◽

First Results ◽

The Web

More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.

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Mapping of land cover with open‐source software and ultra‐high‐resolution imagery acquired with unmanned aerial vehicles

Remote Sensing in Ecology and Conservation ◽

10.1002/rse2.144 ◽

2020 ◽

Vol 6 (4) ◽

pp. 487-497 ◽

Cited By ~ 3

Author(s):

Ned Horning ◽

Erica Fleishman ◽

Peter J. Ersts ◽

Frank A. Fogarty ◽

Martha Wohlfeil Zillig

Keyword(s):

High Resolution ◽

Land Cover ◽

Unmanned Aerial Vehicles ◽

Open Source ◽

Open Source Software ◽

Aerial Vehicles ◽

High Resolution Imagery

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Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data

BMC Bioinformatics ◽

10.1186/1471-2105-10-87 ◽

2009 ◽

Vol 10 (1) ◽

pp. 87 ◽

Cited By ~ 159

Author(s):

Navdeep Jaitly ◽

Anoop Mayampurath ◽

Kyle Littlefield ◽

Joshua N Adkins ◽

Gordon A Anderson ◽

...

Keyword(s):

Mass Spectrometry ◽

High Resolution ◽

Open Source ◽

Open Source Software ◽

Software Package ◽

High Resolution Mass Spectrometry ◽

Mass Spectrometry Data ◽

Open Source Software Package ◽

Automated Processing ◽

Resolution Mass

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GeoNet: An open source software for the automatic and objective extraction of channel heads, channel network, and channel morphology from high resolution topography data

Environmental Modelling & Software ◽

10.1016/j.envsoft.2016.04.026 ◽

2016 ◽

Vol 83 ◽

pp. 58-73 ◽

Cited By ~ 42

Author(s):

Harish Sangireddy ◽

Colin P. Stark ◽

Anna Kladzyk ◽

Paola Passalacqua

Keyword(s):

High Resolution ◽

Open Source ◽

Open Source Software ◽

Channel Morphology ◽

Channel Network ◽

Topography Data

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A COMPLETE FOS APPROACH FOR INDOOR CROWDSOURCED MAPPING: CASE STUDY ON SAPIENZA UNIVERSITY OF ROME FACULTIES

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xliii-b4-2020-361-2020 ◽

2020 ◽

Vol XLIII-B4-2020 ◽

pp. 361-365

Author(s):

A. Mascitelli ◽

M. Ravanelli ◽

S. Mattoccia ◽

C. Berardocco ◽

A. Mazzoni

Keyword(s):

Open Source ◽

Open Source Software ◽

Positive Impact ◽

Resource Planning ◽

Indoor Navigation ◽

Indoor Environments ◽

University Of Rome ◽

Available Information

Abstract. Indoor mapping is an essential process in several applications such as the visualization of space and its utilization, security and resource planning, emergency planning and location-based alerts and, last but not least, indoor navigation. In this work, a completely free and open-source (FOS) approach to map indoor environments, and to navigate through them, is presented. Our tests were carried out within Sapienza University of Rome public buildings; in detail, Letters and Philosophy faculty and Engineering faculty indoor environments were mapped. To reach this goal, only open source software such as Quantum GIS (QGIS) and open-source platforms like Open Street Map (OSM) and its indoor viewer, Open Level Up (OLU) were adopted. A database of indoor environments of the two faculties, completely compatible with OLU, was created through QGIS. In this way, a public territorial information system of classrooms, offices and laboratories is accessible to everyone who can, hence, add or modify the information, following the principle of crowdsourcing and of Volunteered Geographic Information (VGI). The developed procedure is now standard and its outputs accepted by the OSM community. Hence, the long-term developments of this project are the proposal for the volunteered and cooperative indoor mapping and design of strategic buildings and infrastructures (hospitals, schools, public offices, shopping centers, stations, airports etc.), starting from the available information (indoor layouts) and knowledge acquired through experience of people who normally work inside them and/or visit them frequently. In this context it is possible to state that the development of VGI for internal maps for strategic buildings, infrastructures and denied GNSS environments, not only supports and improves internal and external navigation without interruption, but can also have a significant positive impact on security and emergency management.

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BUILDINGS IN HIGH RESOLUTION SAR IMAGES - IDENTIFICATION BASED ON CITYGML DATA

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsannals-ii-3-w4-9-2015 ◽

2015 ◽

Vol II-3/W4 ◽

pp. 9-16 ◽

Cited By ~ 2

Author(s):

S. Auer ◽

A. Donaubauer

Keyword(s):

High Resolution ◽

City Center ◽

Sar Images ◽

Data Format ◽

Building Geometry ◽

First Results ◽

Automated Processing ◽

Urban Scene ◽

System Data ◽

Sar Imagery

Motivated by the distinct appearance of facades in high resolution SAR images with respect to signal incidence angles and polarizations, this paper introduces a way to fuse SAR imagery and 3D GIS (geoinformation system) data (format: CityGML) based on SAR simulation methods. To this end, the known building geometry is used to simulate the extent of building layover for identifying the related image parts in high resolution TerraSAR-X images. The simulated SAR images are generated and geocoded by an automated processing chain which is initialized by the automated parsing of the CityGML dataset and the TerraSAR-X orbit file. Confirming the functionality of the developed interface between simulation and CityGML, first results are presented for an urban scene in the Munich city center in order to discuss future opportunities in the context of change detection applications.

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