Abstract
Abstract. The article discusses methods for constructing and using digital photogrammetric and cartographic models as a basis for growing tree height control and plantation planning in aerodrome areas. Forests or gardens in the take-off and landing flight areas, exceeding special limitation surfaces, are dangerous obstacles and intended to cut down. Tree and bush vegetation should be under periodic monitoring because of their growth. The research was aimed to determine the maximum permissible obstacle height and tree age when it reaches the obstacle limitation surface altitude. For these purposes, it is proposed to use geospatial modeling and geoinformation analysis methods. As a basis for geospatial models, remote sensing optical stereo images were used. The allowable height is calculated as a difference between 3D obstacle limitation surface and the earth surface altitude values. The article presents the study results for a Belarus climatic zone, where the tree species predictive age in reaching the maximum permissible height is calculated. The main goal of the technology is to manage the aerodrome forest plantation growth without further labor-intensive monitoring, while ensuring the safety of aircraft flights.
Highlights
Aerodromes and airports are often located in areas densely covered with forest or park vegetation (Belarus, Germany, Estonia etc.)
To ensure that the total error of modeling does not exceed this value, the choice of survey has to take into account the image resolution, the accuracy of geolocation, and the errors in building and filtering a digital terrain model (DTM)
Isolines with equal heights are drawn on the difference matrix with a given step that does not exceed the vertical accuracy of obstacle determining (Figure 3)
Summary
Aerodromes and airports are often located in areas densely covered with forest or park vegetation (Belarus, Germany, Estonia etc.). To observe the dynamics of vegetation obstacle changes for a Spain aerodrome, a spatial-temporal analysis on radar and GNSS data was conducted (Contreras-Alonso et al, 2020). In areas where forest vegetation has been eliminated, it is necessary to grow new plantations in order to avoid uncontrolled tree or bush overgrowth, which would need to be eliminated when certain heights are reached. As a scientific paper review reveals, the aerodrome obstacle identification and collision risk assessment have been carried out on satellite and UAS imagery, lidar and radar sensor’s data. The current research considers the problems of aerodrome flight safety, forested area monitoring and re-afforestation planning. It is obvious, that tree growth rate depends on the climate and soil conditions, species, age and canopy density. The proposed solution is mathematical and cartographic modeling based on the geospatial data
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