A web processing service for GNSS realistic planning

Federici, Bianca; Giacomelli, Davide; Sguerso, Domenico; Vitti, Alfonso; Zatelli, Paolo

doi:10.1007/s12518-011-0058-9

Cited by 12 publications

(11 citation statements)

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“…GRASS GIS is the leading GIS Free and Open Source Software (FOSS), used in research and education [27]. Its availability under the GNU GPL license allows for the modification and adaptation of its code to a wide range of GIS applications; see, e.g., [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

New Tools for the Classification and Filtering of Historical Maps

Gobbi

Ciolli

Porta

et al. 2019

IJGI

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Historical maps constitute an essential information for investigating the ecological and landscape features of a region over time. The integration of heritage maps in GIS models requires their digitalization and classification. This paper presents a semi-automatic procedure for the digitalization of heritage maps and the successive filtering of undesirable features such as text, symbols and boundary lines. The digitalization step is carried out using Object-based Image Analysis (OBIA) in GRASS GIS and R, combining image segmentation and machine-learning classification. The filtering step is performed by two GRASS GIS modules developed during this study and made available as GRASS GIS add-ons. The first module evaluates the size of the filter window needed for the removal of text, symbols and lines; the second module replaces the values of pixels of the category to be removed with values of the surrounding pixels. The procedure has been tested on three maps with different characteristics, the “Historical Cadaster Map for the Province of Trento” (1859), the “Italian Kingdom Forest Map” (1926) and the “Map of the potential limit of the forest in Trentino” (1992), with an average classification accuracy of 97%. These results improve the performance of classification of heritage maps compared to more classical methods, making the proposed procedure that can be applied to heterogeneous sets of maps, a viable approach.

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Section: Introductionmentioning

confidence: 99%

New Tools for the Classification and Filtering of Historical Maps

Gobbi

Ciolli

Porta

et al. 2019

IJGI

Self Cite

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“…Another method for survey planning is to design a programme which can track satellite positions at all times, such as those employing a two-line element set (which describes the orbits of earth-orbiting satellites) as proposed by [33] or the Keplerian parameters used in the GRASS module employed by [35]. These methods are heavy in terms of computational performance but will provide the user with real-time information on satellite position.…”

Section: Satellite Locationmentioning

confidence: 99%

“…In their work on satellite visibility, [24] also applied the 3D Analyst Line of Sight tool. In [35], the authors applied the r.obstruction and r.planning.static modules in GRASS for their work on GNSS planning.…”

Section: Visibility Calculation In a Gismentioning

confidence: 99%

Combining 2D Mapping and Low Density Elevation Data in a GIS for GNSS Shadow Prediction

Cahalane

2015

IJGI

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The number of satellites visible to a Global Navigation Satellite System (GNSS) receiver is important for high accuracy surveys. To aid with this, there are software packages capable of predicting GNSS visibility at any location of the globe at any time of day. These prediction packages operate by using regularly updated almanacs containing positional data for all navigation satellites; however, one issue that restricts their use is that most packages assume that there are no obstructions on the horizon. In an attempt to improve this, certain planning packages are now capable of modelling simple obstructions whereby portions of the horizon visible from one location can be blocked out, thereby simulating buildings or other vertical structures. While this is useful for static surveys, it is not applicable for dynamic surveys when the GNSS receiver is in motion. This problem has been tackled in the past by using detailed, high-accuracy building models and designing novel methods for modelling satellite positions using GNSS almanacs, which is a time-consuming and costly approach. The solution proposed in this paper is to use a GIS to combine existing, freely available GNSS prediction software to predict pseudo satellite locations, incorporate a 2.5D model of the buildings in an area created with national mapping agency 2D vector mapping and low density elevation data to minimise the need for a full survey, thereby providing savings in terms of cost and time. Following this, the ESRI ArcMap viewshed tool was used to ascertain what areas exhibit poor GNSS visibility due to obstructions over a wide area, and an accuracy assessment of the procedure was made.

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“…The sample of areal evaluation of the number of visible satellites in this software is in Figure 1. The work (Federici, B. et all. 2010) describes the GNSS planning tool, which was created as a module for a freely-accessible Open Source GIS of GRASS software.…”

Section: Related Workmentioning

confidence: 99%

The use of GIS technology for planning of GNSS measurement

Bartoněk

Opatřilová

2014

Advances in Intelligent Systems

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Global navigation satellite systems (GNSS), along with geographic information systems (GIS), are currently one of the most growing geo-information technologies. However, there is very little of projects which use of mutual support these technologies. The projects are mainly aimed at solving particular problems (signal propagation in a given area, coverage of GNSS signal, solutions of influence of barriers on the accuracy of measurement, etc.). This paper describes a global view on the interaction GNSS and GIS from standpoint of planning of measurement. The main benefit of GIS technology with support of spatial analyses consists in simulating the real environment and determining of effective deployment of GNSS methods in this locality. GIS thus partially replaces a reconnaissance of the terrain and it allows an increasing the entire measurement process about a hierarchical level above, i.e. into field of planning and management. The essence of method is the division of the area into sub-areas according to the conditions for GNSS measurements, and an optimal surveying method is assigned for each area. The paper describes a mathematical model and technique of implementation of the method into ArcGIS environment. Fuzzy logic is used due to the uncertainty of the conditions for the deployment of GNSS methods. The project also includes an expert system in which existing experience with GNSS measurements are stored. It is assumed that this expert system will be continuously updated and it will contribute to a gradual increase in the quality of the whole planning process. The proposed system is described by a form of block scheme and by a form of the state diagram in UML.

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A web processing service for GNSS realistic planning

Cited by 12 publications

References 0 publications

New Tools for the Classification and Filtering of Historical Maps

New Tools for the Classification and Filtering of Historical Maps

Combining 2D Mapping and Low Density Elevation Data in a GIS for GNSS Shadow Prediction

The use of GIS technology for planning of GNSS measurement

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