Remote sensing monitoring of changes potentially associated to obstacles to air navigation

Pinelli, G.; Veracini, Tiziana

doi:10.1109/igarss.2015.7326457

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…The correct identification of obstacles around airports is essential to ensure the safety and regularity of air operations. In this context, there are several works concerning methodological proposals to identify obstacles to airports (Parrish andNowak 2009, Pinelli andVeracini 2015, Audu 2016, Falavigna, Iescheck andSouza 2020). Falavigna, Iescheck and Souza (2020) identified and quantified Salgado Filho International Airport obstacles in Porto Alegre city (Brazil), using 3D models of urban plots, buildings, and PBZPA.…”

Section: Introductionmentioning

confidence: 99%

Obstacles Risk Classification Model in Aerodromes Protection Zones Using the Multi-Criteria Decision Analysis Ahp

2021

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Aerodromes protection zones are defined by plans that establish the limits that objects can project into airspace without affecting the safety and regularity of air operations. These plans are composed of a set of imaginary threedimensional surfaces that impose restrictions on the use of properties within the protection zones. Our research problem is how to classify the risk of obstacles in aerodromes protection zones. In this paper, we propose a methodology to obtain an obstacle risk classification model. We defined the risk factors and applied a questionnaire to an expert in civil aviation. The obstacle risk classification model resulted from the specialist analysis and by applying the analytic hierarchy process (AHP) for multi-criteria decision analysis. The advantage of the AHP in studies that use specialists' empiric knowledge for risk modeling is the treatment of uncertainties, and the use of tangibles and intangibles criteria. The results showed that the most significant influence on the risk of an obstacle is how much that obstacle protrudes the limiting surfaces, followed by the distance between the obstacle and the nearest airport runway threshold, the limiting surface in which the obstacle is, and the nature of the obstacle.

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Section: Introductionmentioning

confidence: 99%

Obstacles Risk Classification Model in Aerodromes Protection Zones Using the Multi-Criteria Decision Analysis Ahp

2021

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“…The safety of aircraft near an aerodrome during the approach, takeoff and taxiing is a critical issue of great importance in flight operations. The correct identification of obstacles around airports is an important issue to ensure the safe takeoff and landing of aircraft (Pinelli and Veracini, 2015). About aviation safety, these authors evaluated the risk of obstacles and risk-mitigating operations and presented a methodology for detecting changes using orthorectified pairs of highresolution multispectral satellite images acquired from the same geographical area and at different times.…”

Section: Introductionmentioning

confidence: 99%

3d Modeling to Identify and Quantify Obstacles in Aerodrome Protection Zone

2020

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Aerodromes protection zones are defined by plans that are determined by three-dimensional (3D) limiting surfaces, which establish the airspace that must remain clear of obstacles, imposing some restrictions on land use. The objective of this paper is to generate 3D models of the surrounding area of Salgado Filho International Airport, considering the constructive altimetric limit established in the Aerodrome Protection Zone Basic Plan (PBZPA), to identify and quantify obstacles related to plots (urban land parcels) and buildings. The adopted methodology includes the analysis and selection of geospatial data, data modeling and performing spatial analysis on the generated 3D models. The results showed that out of a total of 106,838 plots, covering an area of 69.68 km², 4,826 plots (4.52%) exceeded the limiting surface and 1,054 plots (0.99%) represent critical areas where constructions may not be allowed. And, out of a total of 200,573 buildings, 26,418 of them (13.17%) exceeded the limit imposed by PBZPA's. Also, the methodology is valid for detecting and quantifying critical areas concerning the constructive viability of the plots, affected areas regarding the height of the plots and buildings, and for identifying obstacles to aerodromes according to their respective airspace laws.

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Remote sensing monitoring of changes potentially associated to obstacles to air navigation

Cited by 2 publications

References 4 publications

Obstacles Risk Classification Model in Aerodromes Protection Zones Using the Multi-Criteria Decision Analysis Ahp

Obstacles Risk Classification Model in Aerodromes Protection Zones Using the Multi-Criteria Decision Analysis Ahp

3d Modeling to Identify and Quantify Obstacles in Aerodrome Protection Zone

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