This document discusses the HortonMachine library, which is a set of open-source tools for modeling natural hazards. It was created by HydroloGIS, an engineering company in Bolzano, Italy. The HortonMachine library contains tools for hydrology, hydraulics, geomorphology, and forestry modeling. It allows users to analyze erosion processes, drainage networks, and landslides. The library contains commands organized into categories like basin analysis, DEM manipulation, and geomorphology. It provides functions for tasks like pit removal, calculating slope and curvature from a DEM, and extracting drainage networks.
The document provides an overview of Geopaparazzi, an open source mobile mapping application, and the Geopaparazzi Survey Server (GSS). Geopaparazzi allows users to collect georeferenced notes, photos, and GPS tracks in the field. The GSS allows centralized storage and sharing of Geopaparazzi project data. The summary describes how to install and use both Geopaparazzi on Android devices and the GSS using Docker, including collecting and syncing field data, creating user accounts and surveyors, downloading basemaps and overlays, and building custom forms.
Geographic information system and remote sensingchala hailu
ArcMap is where you create maps and access most of the ArcGIS functionality. Remote sensing is an instrument based of observing an object at a far distance without direct contact.
The HortonMachine, for data analysis to help scientists... and not onlyAndrea Antonello
The document summarizes the HortonMachine, an open source geospatial hydrological modeling toolkit. It provides over 30 hydrological, geomorphological, and terrain analysis modules that can be run within the gvSIG desktop GIS application. The HortonMachine includes tools for drainage analysis, interpolation, peak flow estimation, hydraulic modeling, slope stability analysis, and more. It also has utilities for raster and vector data processing, profile extraction from LiDAR, and integration with the field data collection app Geopaparazzi. The goal of the HortonMachine is to provide scientists open source tools for hydrological modeling and analysis within a desktop GIS environment.
This document summarizes the history and future of JGrass, an open source Java GIS application that provides a graphical user interface and plugins for the GRASS GIS. It describes the motivation for JGrass 1.0 and 2.0, challenges faced, and the decision in 2007 to join with the uDig community. Key points covered include improved support for shapefiles, DWG files, and the GRASS raster library in JGrass 3.0 through integration with uDig and its plugins.
Geopaparazzi is a tool for digital field mapping on Android devices. It allows users to take georeferenced photos and notes during surveys and log GPS tracks. The main features include georeferenced notes, photos, sketches and forms; GPS track logging; map viewing of collected data; and import/export of projects. It provides an easy to use interface for collecting field data that can later be integrated into GIS applications.
The document provides an overview of Geopaparazzi, an open source mobile mapping application, and the Geopaparazzi Survey Server (GSS). Geopaparazzi allows users to collect georeferenced notes, photos, and GPS tracks in the field. The GSS allows centralized storage and sharing of Geopaparazzi project data. The summary describes how to install and use both Geopaparazzi on Android devices and the GSS using Docker, including collecting and syncing field data, creating user accounts and surveyors, downloading basemaps and overlays, and building custom forms.
Geographic information system and remote sensingchala hailu
ArcMap is where you create maps and access most of the ArcGIS functionality. Remote sensing is an instrument based of observing an object at a far distance without direct contact.
The HortonMachine, for data analysis to help scientists... and not onlyAndrea Antonello
The document summarizes the HortonMachine, an open source geospatial hydrological modeling toolkit. It provides over 30 hydrological, geomorphological, and terrain analysis modules that can be run within the gvSIG desktop GIS application. The HortonMachine includes tools for drainage analysis, interpolation, peak flow estimation, hydraulic modeling, slope stability analysis, and more. It also has utilities for raster and vector data processing, profile extraction from LiDAR, and integration with the field data collection app Geopaparazzi. The goal of the HortonMachine is to provide scientists open source tools for hydrological modeling and analysis within a desktop GIS environment.
This document summarizes the history and future of JGrass, an open source Java GIS application that provides a graphical user interface and plugins for the GRASS GIS. It describes the motivation for JGrass 1.0 and 2.0, challenges faced, and the decision in 2007 to join with the uDig community. Key points covered include improved support for shapefiles, DWG files, and the GRASS raster library in JGrass 3.0 through integration with uDig and its plugins.
Geopaparazzi is a tool for digital field mapping on Android devices. It allows users to take georeferenced photos and notes during surveys and log GPS tracks. The main features include georeferenced notes, photos, sketches and forms; GPS track logging; map viewing of collected data; and import/export of projects. It provides an easy to use interface for collecting field data that can later be integrated into GIS applications.
1) The document describes Geopaparazzi, an open-source field survey tool, and how it can be used with the Geopaparazzi Survey Server (GSS) for data synchronization across teams.
2) The GSS allows Geopaparazzi users to upload their project data to a central server and download shared basemaps, overlays, and projects.
3) The document provides instructions for installing the GSS docker image and loading sample data into Geopaparazzi using the GSS Sync Android app to retrieve profiles from the server.
The document provides instructions for creating forms in Geopaparazzi using the HortonMachine application. It describes how to:
1. Create sections, tabs, and widgets like text fields, checkboxes, and dropdowns within the form builder application to design a custom survey form for university buildings.
2. Add fields for general information like name, faculty, and number of enrolled students.
3. Add additional tabs for structural details and images.
4. Populate dropdowns by specifying options in the form builder.
5. Designate certain fields like name as mandatory for the survey.
The form can then be exported and used to collect geospatial data on university buildings using the
Geopaparazzi is a tool for digital field mapping on Android devices. It allows taking georeferenced notes, photos, and tracking GPS during surveys. The document discusses preparing background map and feature data for use in Geopaparazzi, including creating MBTiles and Spatialite databases. It also covers using the app to conduct a survey, exporting data for analysis in GIS, and developing simple custom survey forms for structured note taking.
Geopaparazzi: Never Out of Data in the Field
The workshop is dedicated to professionals that needs to collect data from the field and use this information to update or create GIS data, but also to OpenStreetMappers as well as tourists that want to keep a geo-diary. Geopaparazzi is a mobile application for digital field mapping for Android devices developed to support the work of the technicians in the field offering a mapping environment with real time GPS position and a form for structured data collection. The application is easy to use, intuitive and provides just few important functionalities to be used in the field, as for example register GPS tracks and take georeferenced notes and pictures with the possibility to work also off line. The main features available in Geopaparazzi are: - taking georeferenced notes: texts, pictures, sketches and forms - logging GPS tracks - browsing and navigation of the maps and the available data - easy export of the collected data - simple preparation of custom background data. The map view shows the GPS position on the reference background data with the possibility to pan and zoom. From the map view it is possible to add and manage notes and bookmarks and measure distances. Notes and bookmarks can be added directly to the map either in the GPS position or in the center of the map. From a dedicated list view it is possible to visualize, zoom and edit each note. Background data can be personalized using available local data or on-line services with the possibility to use vector offline Mapsforge basemaps, Mbtiles offline databases, TMS (online and offline tiles) and WMS services. Geopaparazzi supports personalized complex forms with combo and check boxes, text fields (that can be constrained to number or string type), pictures (taken using the mobile internal camera) and sketches organized over multiple tabs. The workshop starts with an introduction of the application, installation and main features. Then a short section will be dedicated to the preparation of the input data: background maps and vector layers. Following these sections there is a practical testing of Geopaparazzi outdoor in the field. The last section, back in the room, is dedicated to the export of the collected data to be visualized or used in other GIS environments.
Global mapper tutorial Jimma University Ethiopiachala hailu
This document discusses using Global Mapper software to delineate watersheds and calculate peak runoff for flood analysis. It provides an overview of common hydrological analysis methods for estimating maximum flood levels, and describes using the SCS unit hydrograph method within Global Mapper. It also outlines the basic steps and tools in Global Mapper for watershed delineation and peak runoff calculation.
Geopaparazzi is a free and open source mobile application for collecting geospatial data and taking geotagged photos. It allows users to easily create notes, bookmarks, and track GPS data. Geopaparazzi supports a variety of basemaps and spatial databases. Data can be edited, imported, exported, and viewed in GIS software like gvSIG using plugins. Geopaparazzi has a variety of uses including engineering surveys, emergency management, and field data collection.
Basic operations with Geopaparazzi (start, import, export)silli
Geopaparazzi is a tool for digital field mapping on Android devices. It allows users to take geotagged photos and notes during surveys. Key features include geotagged notes, GPS tracking, map viewing, and easy export of collected data. The document provides instructions on installing Geopaparazzi from the Android Market, taking notes and photos with geotagging, viewing maps and data, and exporting data for use in GIS software.
The document describes using GRASS GIS to detect land cover change over 13 years at a mining site in British Columbia. Atmospherically corrected Landsat images from 2001-2014 were analyzed using image differencing of NDVI, TCT, and PCA outputs. Thresholding identified significant change areas. NDVI detected over 2300 ha of change, while TCT and PCA detected over 2000 ha. The open source and automated nature of GRASS GIS makes it suitable for replicable change detection.
The document summarizes the HortonMachine, a spatial analysis package integrated within the JGrass GIS system. It began as standalone routines in C and has been rewritten in Java and integrated into JGrass. The HortonMachine contains tools for DEM manipulation, geomorphology, network analysis, hillslope analysis, basin attributes, statistics, and hydrogeomorphology modeling. It implements hydrological analyses and aims to provide tools adhering to standards of the scientific community.
Processing Landsat 8 Multi-Spectral Images with GRASS Tools & the potential o...Shaun Lewis
Paul Shapley gave a presentation on processing Landsat 8 multi-spectral images with GRASS tools and the potential of the QGIS-GRASS plugin. He discussed his background and work with QGIS and GRASS for mapping at Neath Port Talbot Borough Planning Department. He provided an overview of Landsat 8 data and demonstrated using GRASS modules to classify Landsat images and analyze changes over time. Shapley also discussed advantages and updates to the QGIS-GRASS plugin, and future projects using GRASS and 3D data for his local development plan monitoring and property mapping.
The document provides instructions for conducting a land use/land cover change detection analysis using GIS. It describes how to download municipal boundary and watershed shapefiles, add them to a map, and clip the watershed layer to the boundaries of New Brunswick. It then explains how to select areas of land use change between 2002 and 2007 using attribute fields, export the selected areas, and calculate acres of residential land use change.
HALE is a tool for creating mappings between different data models and schemas. It allows users to transform and harmonize spatial data, with a focus on complex datasets. HALE provides both a graphical and textual interface for GIS experts to define logical and semantically consistent mappings. It also enables validating transformations step-by-step and comparing source and target data. The document then provides an example usage of HALE to map land use data from a regional plan in Trento, Italy to the INSPIRE data specification.
This document discusses various geoprocessing tools available in QGIS for manipulating spatial data. It describes tools such as convex hull, buffer, union, intersect, clip, symmetrical difference, and dissolve. For each tool, it provides a definition, explains how to use the tool in QGIS, and shows an example of the output layer. The document serves as a guide to common geoprocessing tasks and spatial analysis that can be performed in QGIS.
Map to Image Georeferencing using ERDAS softwareSwetha A
The document provides steps to georeference a satellite image using ERDAS software. It involves opening the image and a georeferenced toposheet in separate viewers, selecting ground control points that match features in both, and using a polynomial geometric model to resample the image. At least 4 GCPs should be selected to georeference the image, which can then be verified using swipe and transparency tools to check the alignment of features.
The document describes an algorithm developed for a road weather information system called CLEAN-ROADS. The algorithm uses open-source tools to forecast road temperatures and inform road maintenance services. It integrates a road weather model called METRo with thermal mapping data and statistical analysis to predict temperatures across entire routes. The resulting decision support system provides customized road weather forecasts to optimize road de-icing and reduce environmental impacts.
Well Plotter is a software for visualizing and analyzing borehole and well drilling data. It contains tools for 1D, 2D and 3D visualization of data. The basic version contains 1D well logs while the 3D edition allows 2D geological sections and 3D fence diagrams. The software imports various data types and formats and allows users to create visualizations for analysis in hydrogeology and related fields. A demo version is available to test the software before purchase.
This document summarizes the contents and structure of the Global Mapper user manual. It provides instructions on how to download the software and manual, and access the manual offline. It also describes the software's registration process and limitations for the unregistered version. The summary covers the program toolbar and menus, including the File, Edit, View, Tools, Search, and Help menus and their main commands.
1) The document describes Geopaparazzi, an open-source field survey tool, and how it can be used with the Geopaparazzi Survey Server (GSS) for data synchronization across teams.
2) The GSS allows Geopaparazzi users to upload their project data to a central server and download shared basemaps, overlays, and projects.
3) The document provides instructions for installing the GSS docker image and loading sample data into Geopaparazzi using the GSS Sync Android app to retrieve profiles from the server.
The document provides instructions for creating forms in Geopaparazzi using the HortonMachine application. It describes how to:
1. Create sections, tabs, and widgets like text fields, checkboxes, and dropdowns within the form builder application to design a custom survey form for university buildings.
2. Add fields for general information like name, faculty, and number of enrolled students.
3. Add additional tabs for structural details and images.
4. Populate dropdowns by specifying options in the form builder.
5. Designate certain fields like name as mandatory for the survey.
The form can then be exported and used to collect geospatial data on university buildings using the
Geopaparazzi is a tool for digital field mapping on Android devices. It allows taking georeferenced notes, photos, and tracking GPS during surveys. The document discusses preparing background map and feature data for use in Geopaparazzi, including creating MBTiles and Spatialite databases. It also covers using the app to conduct a survey, exporting data for analysis in GIS, and developing simple custom survey forms for structured note taking.
Geopaparazzi: Never Out of Data in the Field
The workshop is dedicated to professionals that needs to collect data from the field and use this information to update or create GIS data, but also to OpenStreetMappers as well as tourists that want to keep a geo-diary. Geopaparazzi is a mobile application for digital field mapping for Android devices developed to support the work of the technicians in the field offering a mapping environment with real time GPS position and a form for structured data collection. The application is easy to use, intuitive and provides just few important functionalities to be used in the field, as for example register GPS tracks and take georeferenced notes and pictures with the possibility to work also off line. The main features available in Geopaparazzi are: - taking georeferenced notes: texts, pictures, sketches and forms - logging GPS tracks - browsing and navigation of the maps and the available data - easy export of the collected data - simple preparation of custom background data. The map view shows the GPS position on the reference background data with the possibility to pan and zoom. From the map view it is possible to add and manage notes and bookmarks and measure distances. Notes and bookmarks can be added directly to the map either in the GPS position or in the center of the map. From a dedicated list view it is possible to visualize, zoom and edit each note. Background data can be personalized using available local data or on-line services with the possibility to use vector offline Mapsforge basemaps, Mbtiles offline databases, TMS (online and offline tiles) and WMS services. Geopaparazzi supports personalized complex forms with combo and check boxes, text fields (that can be constrained to number or string type), pictures (taken using the mobile internal camera) and sketches organized over multiple tabs. The workshop starts with an introduction of the application, installation and main features. Then a short section will be dedicated to the preparation of the input data: background maps and vector layers. Following these sections there is a practical testing of Geopaparazzi outdoor in the field. The last section, back in the room, is dedicated to the export of the collected data to be visualized or used in other GIS environments.
Global mapper tutorial Jimma University Ethiopiachala hailu
This document discusses using Global Mapper software to delineate watersheds and calculate peak runoff for flood analysis. It provides an overview of common hydrological analysis methods for estimating maximum flood levels, and describes using the SCS unit hydrograph method within Global Mapper. It also outlines the basic steps and tools in Global Mapper for watershed delineation and peak runoff calculation.
Geopaparazzi is a free and open source mobile application for collecting geospatial data and taking geotagged photos. It allows users to easily create notes, bookmarks, and track GPS data. Geopaparazzi supports a variety of basemaps and spatial databases. Data can be edited, imported, exported, and viewed in GIS software like gvSIG using plugins. Geopaparazzi has a variety of uses including engineering surveys, emergency management, and field data collection.
Basic operations with Geopaparazzi (start, import, export)silli
Geopaparazzi is a tool for digital field mapping on Android devices. It allows users to take geotagged photos and notes during surveys. Key features include geotagged notes, GPS tracking, map viewing, and easy export of collected data. The document provides instructions on installing Geopaparazzi from the Android Market, taking notes and photos with geotagging, viewing maps and data, and exporting data for use in GIS software.
The document describes using GRASS GIS to detect land cover change over 13 years at a mining site in British Columbia. Atmospherically corrected Landsat images from 2001-2014 were analyzed using image differencing of NDVI, TCT, and PCA outputs. Thresholding identified significant change areas. NDVI detected over 2300 ha of change, while TCT and PCA detected over 2000 ha. The open source and automated nature of GRASS GIS makes it suitable for replicable change detection.
The document summarizes the HortonMachine, a spatial analysis package integrated within the JGrass GIS system. It began as standalone routines in C and has been rewritten in Java and integrated into JGrass. The HortonMachine contains tools for DEM manipulation, geomorphology, network analysis, hillslope analysis, basin attributes, statistics, and hydrogeomorphology modeling. It implements hydrological analyses and aims to provide tools adhering to standards of the scientific community.
Processing Landsat 8 Multi-Spectral Images with GRASS Tools & the potential o...Shaun Lewis
Paul Shapley gave a presentation on processing Landsat 8 multi-spectral images with GRASS tools and the potential of the QGIS-GRASS plugin. He discussed his background and work with QGIS and GRASS for mapping at Neath Port Talbot Borough Planning Department. He provided an overview of Landsat 8 data and demonstrated using GRASS modules to classify Landsat images and analyze changes over time. Shapley also discussed advantages and updates to the QGIS-GRASS plugin, and future projects using GRASS and 3D data for his local development plan monitoring and property mapping.
The document provides instructions for conducting a land use/land cover change detection analysis using GIS. It describes how to download municipal boundary and watershed shapefiles, add them to a map, and clip the watershed layer to the boundaries of New Brunswick. It then explains how to select areas of land use change between 2002 and 2007 using attribute fields, export the selected areas, and calculate acres of residential land use change.
HALE is a tool for creating mappings between different data models and schemas. It allows users to transform and harmonize spatial data, with a focus on complex datasets. HALE provides both a graphical and textual interface for GIS experts to define logical and semantically consistent mappings. It also enables validating transformations step-by-step and comparing source and target data. The document then provides an example usage of HALE to map land use data from a regional plan in Trento, Italy to the INSPIRE data specification.
This document discusses various geoprocessing tools available in QGIS for manipulating spatial data. It describes tools such as convex hull, buffer, union, intersect, clip, symmetrical difference, and dissolve. For each tool, it provides a definition, explains how to use the tool in QGIS, and shows an example of the output layer. The document serves as a guide to common geoprocessing tasks and spatial analysis that can be performed in QGIS.
Map to Image Georeferencing using ERDAS softwareSwetha A
The document provides steps to georeference a satellite image using ERDAS software. It involves opening the image and a georeferenced toposheet in separate viewers, selecting ground control points that match features in both, and using a polynomial geometric model to resample the image. At least 4 GCPs should be selected to georeference the image, which can then be verified using swipe and transparency tools to check the alignment of features.
The document describes an algorithm developed for a road weather information system called CLEAN-ROADS. The algorithm uses open-source tools to forecast road temperatures and inform road maintenance services. It integrates a road weather model called METRo with thermal mapping data and statistical analysis to predict temperatures across entire routes. The resulting decision support system provides customized road weather forecasts to optimize road de-icing and reduce environmental impacts.
Well Plotter is a software for visualizing and analyzing borehole and well drilling data. It contains tools for 1D, 2D and 3D visualization of data. The basic version contains 1D well logs while the 3D edition allows 2D geological sections and 3D fence diagrams. The software imports various data types and formats and allows users to create visualizations for analysis in hydrogeology and related fields. A demo version is available to test the software before purchase.
This document summarizes the contents and structure of the Global Mapper user manual. It provides instructions on how to download the software and manual, and access the manual offline. It also describes the software's registration process and limitations for the unregistered version. The summary covers the program toolbar and menus, including the File, Edit, View, Tools, Search, and Help menus and their main commands.
Modelling natural hazards in gvSIG with the HortonMachine pluginsAndrea Antonello
The document summarizes the HortonMachine library, which is an open source geospatial library for hydro-geomorphological analysis and environmental modeling. It discusses the library's development history and capabilities. The library contains models for tasks like geomorphology analysis, raster/vector processing, mobile tools, and more. It also includes tools for visualizing and working with raster data in gvSIG like the raster styler, raster graphic view, and raster values copy. An example is given of how the library's tools could have been used to model a landslide event that occurred in Dimaro, Italy in 2018.
LINUX Tag 2008: 4D Data Visualisation and Quality ControlPeter Löwe
- Preview formats provide a condensed visual view of complex environmental data to aid in quality control and identifying interesting phenomena.
- Formats like flipbook volumes and Contoured Frequency by Altitude Diagrams (CFADs) collapse dimensions to visualize patterns in rainfall and erosivity over space and time.
- These previews make it easier to identify data errors, periods of intense weather, and ensure only reliable data is used for modeling and analysis.
MapReduce provides a programming model for processing large datasets in a distributed, parallel manner. It involves two main steps - the map step where the input data is converted into intermediate key-value pairs, and the reduce step where the intermediate outputs are aggregated based on keys to produce the final results. Hadoop is an open-source software framework that allows distributed processing of large datasets across clusters of computers using MapReduce.
- GNSS raw measurements from Android phones can provide centimeter-level accuracy with dual-frequency receivers and techniques like PPP.
- Tools are available for logging raw GNSS data from Android phones and performing analysis on the logged data, including analyzing errors from ionosphere, troposphere, and signal-in-space.
- Future applications of high-accuracy GNSS from phones include jamming detection, carrier-phase positioning for apps requiring precise location, and signal analysis for effects like ionosphere and multipath.
More and more cities, regions and countries gather point cloud data through airborne Lidar sensors. We explain what is point cloud data, discuss Flanders' large point cloud and the challenges that pose the task of computing a 3D model for each building in Flanders.
This document describes a project to find optimal observation points and routes between them for unmanned vehicles patrolling hazardous terrain. Key points:
- Cost layers are created from terrain data like elevation, forests, slopes, and roads to represent the cost of traversing each area.
- The A* algorithm is used to find lowest-cost paths between observation points, accounting for factors like visibility, proximity to roads and forests, and terrain slope.
- Sample data from North Carolina is used to test the methods, creating cost layers from elevation, soil, forest, and other GIS data in the sample database.
- Scripts are written in Grass GIS shell scripting language to automate the cost layer generation
Accès ouvert aux données météorologiques d’Environnement CanadaVisionGEOMATIQUE2014
Deux services de données géospatiales offerts par le Service météorologique Canada (Environnement Canada) seront présentés.
Le Datamart du SMC permet de télécharger des données brutes produites par le Service météorologique du Canada (SMC) et rend possible la cueillette automatisée des produits et données météorologiques du SMC. Une grande diversité de données s’y retrouvent, tels les avertissements météo, les prévisions publiques en XML, les données brutes de prévision, les observations météorologiques et bien davantage. Le Datamart du SMC jouit d’une grande popularité avec plus de 12 millions d’accès quotidiennement.
Les services web géospatiaux GeoMet permettent au public d’intégrer dans leurs outils SIG, cartes interactives ou appareil mobile, les données brutes de modèles de prévision numérique du temps et de la mosaïque nord-américaine des radars météo par le biais de deux standards de l’Open Geospatial Consortium : le WMS et le KML. Qu’il s’agisse par exemple de la pluie observée par les radar météo ou les prévisions de précipitation de neige ou une animation des prévisions de températures , les utilisations de ces données sont nombreuses et d’une grande valeur pour de nombreux décideurs.
The document summarizes GeoScience Software (GS), a geotechnical software package developed by petroleum professionals to provide powerful yet easy-to-use tools for well data analysis, petrophysics, seismic synthetics, mapping, and more at an affordable price. Key features highlighted include GIS integration, well correlations, comprehensive petrophysical analysis, pore pressure and fracture gradient calculations, seismic functions, data extraction and mapping capabilities. The software was designed by professionals to eliminate complex menus and high costs while putting technical tools directly in the hands of users.
The document discusses GeoScience Software, a company that develops affordable yet powerful geotechnical software. It was founded in 1989 by petroleum exploration professionals to create user-friendly software without large costs or need for IT support. The software called GS was developed by geoscience professionals to provide technical tools that are accessible to a wide range of expertise. It has over 600 installations worldwide and offers integrated well data management, petrophysical analysis, correlations, seismic functions, and other capabilities.
Flood Map Desktop (FMD) is free software that helps users create digital flood insurance rate maps (DFIRMs) using GIS. It allows users to set up geodatabases and project settings to manage flood mapping projects according to FEMA standards. FMD includes tools to create layers, assign symbology, generate maps in multiple formats, and produce final deliverables meeting FEMA requirements. Users report that FMD makes the flood mapping process four times more efficient than previous methods.
Flood Map Desktop (FMD) is free software that helps users create digital flood insurance rate maps (DFIRMs) using GIS. It allows users to set up geodatabases and project settings to manage flood mapping data and produce maps that meet FEMA standards. Final deliverables include FEMA-compliant GIS layers, PDFs and PNGs of the maps, and required metadata. FMD has improved efficiency for DNR's mapping program by streamlining data creation, management, and standardization compared to using FEMA's online Mapping Information Platform.
Use case of Disaster Management System by using Geopaparazzi and MapGuide Ope...Hirofumi Hayashi
In recent years, large-scale disasters have occurred in the countries of
Asia including Japan, rapid collection and sharing of disaster information
is required in order to provide relief and support speedy restoration
of civic services. This presentation discusses the integration and customization
of FOSS4G field survey tools and Web GIS server to facilitate
aggregation and rapid sharing of disaster related field information.
Further, the system also provide realtime interaction between field party and
coordination team. A case study of practical use of the system at the Osaka Water
General Service (OWGS) Corporation will be demonstrated to present the salient
features of the system. The main capability of the system usability is normal
as well as disaster situation will be highlighted.
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
Humanitarian OpenStreetMap Team [H.O.T.] Training for SBTFStandby Task Force
OpenStreetMap is a collaborative project to create a free editable map of the world. It began in 2004 and now has over 1 million users who have collected over 1.8 billion geographic points and 170 million roads through GPS, aerial imagery, and other sources. The OpenStreetMap Foundation and Humanitarian OpenStreetMap Team support the growth of OSM for humanitarian and development contexts. Users can contribute geographic data by tracing imagery, surveying with GPS, or importing public domain data. The data is represented as nodes, ways, and relations which can be tagged and mapped on various online and mobile applications. Studies have found OSM data to be as accurate as commercial datasets where there is significant community mapping activity.
Surpac is the world’s most popular geology and mine planning software used for ore body evaluation, open pit and u/g mine design.It provides tools for geological modelling, surveying, and mine planning.
The HortonMachine library is an open source geospatial library focused on hydro-geomorphological analysis and environmental modeling. It provides tools to analyze environmental processes like floods, debris flows, wood floods, and landslides. The library is integrated into gvSIG and also available as a standalone suite of applications. It contains models for tasks like calculating maximum discharge, evaluating debris flow hazards, and predicting large wood transport during floods. Case studies demonstrate how the tools have been used to model past natural hazard events.
Geopaparazzi and gvSIG allow for digital field mapping and data synchronization. Geopaparazzi is used on Android devices to collect geotagged notes, photos, and GPS tracks. GvSIG prepares background data and forms, and imports Geopaparazzi projects. The Geopaparazzi Survey Server syncs project data to a central server, accessible via a web interface.
Application of a pattern recognition algorithm for single tree detection from...silli
This document evaluates algorithms for detecting individual trees from LiDAR data. It compares local maxima (LM) algorithms on raster and point cloud data to a new pattern recognition algorithm based on geomorphons. All algorithms were tested on a study area in Italy containing different forest structures. The pattern recognition algorithm detected trees most accurately but the point cloud LM algorithm performed best overall. Particle swarm optimization calibration improved detection rates over manual calibration. The algorithms show potential for estimating forest parameters like volume from remote sensing data at large scales.
The document discusses tools for modeling water supply systems using JGrassTools and gvSIG. It summarizes that JGrassTools is an open source geospatial library containing modules for vector/raster processing, geomorphology, forestry, and more. It also includes bindings to the EPANET hydraulic modeling library. A gvSIG plugin was developed to provide a graphical interface for preparing EPANET input data in a GIS environment. This allows generating shapefiles, synchronizing attributes, running EPANET simulations, and visualizing results on maps and charts within gvSIG without needing to install EPANET separately. The tools can help evaluate alternative management strategies to improve water system performance.
A simplified GIS-based model for Large Wood recruitment and connectivity in m...silli
This document describes a GIS-based tool called JGRASSTOOLS for modeling large wood recruitment and connectivity in mountain river basins. The tool uses inputs like digital terrain models, vegetation data, and channel networks to model three main processes: 1) wood recruitment from unstable slopes and hillslopes, 2) wood transport along the river network, and 3) identification of critical sections where wood may accumulate. The overall workflow involves modeling wood sources, propagation along the network, and identifying accumulation points to predict patterns of large wood recruitment and transport during flood events. Future improvements include enhancing the propagation modeling and connecting to LiDAR data.
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JHydro - an implementation of the digital watershedsilli
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A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
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the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
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metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
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image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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IEEE Slovenia GRSS
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Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
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- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
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International Conference on NLP, Artificial Intelligence, Machine Learning an...
2019 08 26_foss4g_workshop_horton
1. FOSS tools for modelling
natural hazards: the
HortonMachine library
Bucharest, August 2019
Silvia Franceschi, Andrea Antonello
Riccardo Rigon
2. ● small (very small) engineering company
● Bolzano (north Italy)
● 2 cofounders: Andrea Antonello, Silvia Franceschi
● from 2005 active in the GFOSS community
HydroloGIS
3. ● environmental engineers specialized in
– hydrology, hydraulics, geomorphology and forestry
– software development
● PhD in
– Environmental Sciences
– Mountain Environment and Agriculture
● developers of
– the HortonMachine library in the fields of: hydrology,
hydraulic, forestry
– Geopaparazzi app for digital field mapping
– gvSIG plugins and customization
● OSGeo Charter Members
HydroloGIS
4. HortonMachine: the purpose
It is developed with the purpose of giving some quantitative
and qualitative instruments for knowing the morphology
of catchments.
Main applications:
• alpine catchments of various dimensions (from some km2
to hundreds km2
)
• different type of DTM (SRTM, Aster, IGM 20 metri, PAT 10
m, LaserAltimetric 0,5-1-2 m)
5. HortonMachine: the history
● published before 2000 as a package of stand alone routines
operating system independently, written in C using the
FluidTurtle libraries and their input/output defined formats.
The visualization of the calculated matrices was made with
other graphical programs or with Mathematica
● integrated in the GIS GRASS to have a direct graphical
interface in TkTcl
● rewritten in Java (2003) and completely integrated in other
GIS systems as SpatialToolbox (uDig, gvSIG)
● available as a set of stand alone executables (2018)
6. HortonMachine: the concepts
MORPHOMETRY EROSION PROCESSES
The purpose of the library is to analyse the erosion
processes, incision processes of the network and the
possibility of landslides.
Considering that the main geomorphological processes in a
catchment are:
- diffusive erosion on the hillslopes
- network's incision processes
- landslides
- sediment transport in the channels
7. Workshop material
● a PDF file containg the tutorial to follow during the
workshop (HM_tutorial_2019.pdf)
● a PDF file with this presentation
(2019_08_26_foss4g_workshop_horton.pdf)
● a ZIP (DTM.zip) file with the data (DTM ascii format)
● a compressed (hortonmachine_0.9.6-20190618.tar.gz) file
containing the HortonMachine applications
8. The HortonMachine installation
● the HortonMachine (HM) tools are supplied as a
compressed file in tar.gz they are normally available on the
git website of the project
● the standalone package of the HM contains the library tools
for working with geospatial data, you can use your favorite
GIS application to visualize them
● extract the content of the compressed file into a folder on
your hard disk
● enter the HM application folder
9. The HM set of modules
different specific
applications
executable
available for
different operating
systems → choose
the right one:
exe / bat : windows
sh : linux / iOS
10. The HM set of modules
● dbviewer: simple and easy to use Spatialite database
viewer
● geopaparazzi_viewer: quick application to visualize the
contents of a Geopaparazzi project
● geoscript: the HortonMachine geoscripting console
● gforms: the application to create complex forms for
georeferenced notes in Geopaparazzi
● lasviewer: simple and easy to use visualizer of LAS data
● mapcalc: tool to perform raster map calculation
● quickfolder: quick visualizer for all GIS data contained in a
folder
● simplenww-viewer: simple visualizer of NWW data
11. The HM set of modules
● sld: tool to create SLD files of style for vector and rater data
● spatialtoolbox: the main application to run the
HortonMachine tools for GIS data analysis
● wms2geotiff: simple application to download a geotiff file
from a WMS service
All the tool of the HortonMachine library dedicated to the
analysis of GIS data, are available with a GUI in the
SpatialToolbox or can be called through a geoscript using the
geoscript console.
12. HortonMachine SpatialToolbox
Open the HM Spatial Toolbox by double clicking on the
right executable for your operating system.
Depending on the PC’s power, the application can take a
little moment to startup.
If it doesn’t on windows, run the hm-spatialtoolbox.bat
to have more informationabout the problems occurring
helping to solve them. One common issue mightfor
example be that the RAM memory given to the module
is larger than the one available on the pc.
13. HortonMachine SpatialToolbox
● to access subcategories: click on the
triangle before the name of the category
● to open a command: select it from the
list
● to search for a command: start typing
the name in the text box on the left side
of the panel
19. HortonMachine SpatialToolbox
The commands are divided in 7 categories:
● Basin
● Dem manipulation
● Geomorphology
● Hillslope
● Hydro-Geomorphology
● Network
● Statistics
20. Discretization of the Terrain
arboton:www.cuahsi.org
The topography is represented by a bivariate continuous
function z = f(x,y) with continuous derivative up to the second
order almost everywhere.
21. Discretization of the Terrain
A GRID is a geographical space of equidistant cells.
Each cell contains a value, for the DTM for example, of
altitude.
arboton:www.cuahsi.org
22. Digital Terrain Models (DTM)
● representation on a regular rectangular grid of the data
constitutes the most common and most efficient form in
which the terrain digital data can be found.
● data in this raster form usually is made by reporting the
vertical coordinate, z, for a subsequent series of points,
along an assigned regular spacing profile.
● main hypothesis on DEM:
➢ data are significant
➢ regular squared grid
➢ 8 direction topology
23. Preliminary operations
unzip the test dataset on harddisk
download the test dataset
merge DTM tiles on area of interest
(Mosaic12)
24. HortonMachine SpatialToolbox
search the module in the
list or start typing the
name in the text box
input files must have the
information of the projection
(CRS) using a prj file for both
vector and raster maps
output maps must be
specified with the
desired extention (shp,
tiff, asc)
25. Primary topographic attributes
Primary topographic attributes are:
● altitude
● slope
● curvature
In Hydrological Modelling the height data is not enough.
It is necessary to eliminate all the depressions that can exist
in the grid.
pit detection → Depitter
26. Primary topographic attributes
● Slope distribution
● Gradient: surface gradient → the water flow directions
and contributes to the determination of the speed
● Slope: drop between each pixel and the adjacent points
placed underneath divided per the length of the path
f y=
∂ z
∂ y
f x=
∂ z
∂ x
∇ z=(f x ,f y)
γ=arctan √f x
2
+f y
2
27. Primary topographic attributes
● Aspect: inclination angle of the gradient (zero towards the
east and the rotation angle anticlockwise)
● Curvatures: is the second derivative of a surface, or the
slope of the slope:
● normal and planar curvatures are locally proportional to each
other and measure the convergence/divergence of the flow
(positive for convergent flow)
● Longitudinal (profile): along the flowlines (max slope direction)
● Tangential (normal): along the contour lines
● Planar (horizontal): intersecting with the XY plane
α=arctan
f x
f y
29. Primary topographic attributes
pit detection
primary attributes
(gradient, slope, curvatures)
unzip the test dataset on harddisk
download the test dataset
merge DTM tiles on area of interest
30. Derived topographic parameters
● Drainage directions: shows how the water flows over the
surface with relation to the topography. Two methods
available:
● D8 (Flow): assign a pointer from each DEM cell to one of its
eight neighbors, either adjacent or diagonal in the direction of
the steepest downward slope
● D8-corrected (DrainDir): D8 method choose the direction
among the two which is closer to the real gradient direction,
this method calculates the estimation of the total deviation
from the gradients, just cumulating the angular or the linear
deviation going from the higher pixel downhill
32. Derived topographic parameters
● Drainage directions: shows how the water flows over the
surface with relation to the topography. Two methods
available:
● D8 (Flow): assign a pointer from each DEM cell to one of its
eight neighbors, either adjacent or diagonal in the direction of
the steepest downward slope
● D8-corrected (DrainDir): D8 method choose the direction
among the two which is closer to the real gradient direction,
this method calculates the estimation of the total deviation
from the gradients, just cumulating the angular or the linear
deviation going from the higher pixel downhill
● Total Contributing Area: upslope catchment (contributing)
areas as the planar projection of the areas afferent to a point
in the basin
35. Derived topographic parameters
● ExtractNetwork: extract channel network from drainage
directions using a threshold value on:
● TCA: only the pixels with contributing area greater than the
threshold are considered channel heads
● product of 2 quantities: i.e. TCA and slopes (representing the
stress tangential to the bottom) → need Gradient
● TCA only in convergent sites: network pixel can be only where
the morphology is convergent → need TopographicClasses
37. Derived topographic parameters
pit detection
definition of the drainage directions
definition of the main network
D8
(Flow)
D8 with correction
(DrainDir)
38. Watershed delineation
● ExtractBasin: extracts a watershed (part of the whole DTM)
from a map of flow directions given the position of the outlet
● coordinates of the basin outlet can be specified in two
ways:
● entering the coordinates in the relative boxes
● clicking on the position of the outlet in the View
● select a point of the extracted network: visualize the
stream river and zoom on the area where you want to
place the basin outlet (better to use the automatic
snapping on a given extracted network)
40. Derived topographic parameters
pit detection
definition of the drainage directions
definition of the main network
extraction of the catchment
D8 with correction
(DrainDir)
D8
(Flow)
41. Watershed analysis
● Cutout: extracts the data of a raster map on the area
defined in an other raster mask map
➢ cut the maps on the region of the extracted basin instead
of running all the commands again to be sure that all the
resulting maps cover exactly the same region
➢ possible problems with modules that need to consider all
the 8 surrounding cells → they miss one or more vaules
on the boundaries (put to NOVALUE)
● Maps to cut are: PIT, DRAINDIR, GRADIENT, SLOPE,
CURVATURES, EXTRACTEDNETWORK, TCA
43. Watershed analysis
● NetworkAttributesBuilder: extracts network attributes and
the vector network based on a raster, the attributes are:
● Hack numbering
● Strahler numbering
● Pfafstetter numbering
● concept for network enumeration: the “extracted”
hydrographic network is, mathematically speaking, an
oriented graph, the elements of such a graph have a tree
topology
44. Watershed analysis
Hack numbering
● HackStream arranges a
channel network starting
from the identification of
the branch according to
Hack.
● the main stream is of order
1
● the (first order) tributaries
of order 2
● the sub-tributaries are of
order 3 and so on.
45. Watershed analysis
Strahler numbering
● sources have Strahler
stream order 1 (marked in
yellow)
● two sources meet and for
a branch with Strahler
order 2
● at every junction of two
stream: if two branches of
different order, m and n,
meet, the resulting stream
has order max(m,n) + 1
46. Watershed analysis
Pfafstetter numbering
● main channel: odd
numbers starting from the
outlet changing at each
confluence
● main tributaries: second
level even numbers
● third level tributaries: third
level even numbers
47. Watershed analysis
● DistanceToOutlet: calculates the projection on the plane of
the distance of each pixel from the basin outlet, measured
along the drainage directions
➢ 0 = topological distance model: pixel number
➢ 1 = simple distance mode: meters
● RescaledDistance: calculates the rescaled distance of
each pixel from the outlet. The total distance to the outlet is
calculated as the sum of:
➢ the distance along the channels
➢ the distance in the hillslopes
➢ required input parameter: ratio between the velocity in
the channel and in the hillslope
49. Hillslopes analysis
● HillslopesToChannelDistance: distance from the river
networks for each hillslope pixel, following the steepest
descent (the drainage directions)
● 0 = topological distance model: pixel number
● 1 = simple distance mode: meters
● Net(Hillslope)Numbering: assigns numbers to the network
links and to their relative hillslopes:
● channel heads are numbered first
● starting again from each source, the drainage direction
are followed till a junction is found
51. Hillslopes analysis
● SplitSubbasins: labels the subbasins of a basin given the
Hack’s number of the channel network up to a selected
order
● i.e. Hack order 2 is specified: extract the subbasins of
Hack order 1 and 2 and the network of the same order
● TopographicClasses (Tc): subdivides the sites of a basin in
the 9 topographic classes identified by the normal
(tangential) and transversal (longitudinal) curvatures:
● 15 → concave sites (classes 30, 70, 90)
● 25 → planar sites (class 10)
● 35 → convex sites (classes 20, 40, 50, 60, 80)
53. Hydro-geomorphology tools
● Ab (AreaPerLength): calculates the draining area per
length unit (A/b),
● A the total upstream area
● b the length of the contour line which is assumed as
drained by the A area estimated based on curvatures
● TopIndex (TopographicIndex): calculates the topographic
index of a basin, it recognizes the sites generating dunnian
surface flow
● logarithm of the ratio between the contributing area and
the slope in each pixel
● sites with higher topographic index become saturated
before than sites with lower topographic index
54. Hydro-geomorphology tools
● Peakflow: semi-distributed model integrated in the
HortonMachine library based on the GIUH (Geomorphologic
Instantaneous Unit Hydrograph) and the width function
● maximum discharge
● the GIUH is calculated using the width function
● precipitation hyetographs constant
● separate superficial (saturated area) and subsuperficial
fluxes (unsaturated area)
● statistics (return time) or event based discharge
56. Hydro-geomorphology tools
● Shalstab: Shalstab algorithm developed by Montgomery
and Dietrich (1994)
● theory of infinite slope with a simplified hydrological
model
● resulting equation shows the ratio between the
contributing area and the length of the boundary in the
point
● function of the soil density, the water density, the angular
slope, the friction angle, the soil transmissivity and the
the effective rain