r.survey: a tool for calculating visibility of variable- size objects based on orientation
| Autor: | Ivan Marchesini, Txomin Bornaetxea |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Surface (mathematics)
Geographic information system Computer science Variable size Geography Planning and Development 0211 other engineering and technologies 0507 social and economic geography Terrain 02 engineering and technology Library and Information Sciences viewsheds Computer vision geographic information system 021101 geological & geomatics engineering visual impact business.industry Orientation (computer vision) viewshed 05 social sciences Visibility (geometry) terrain survey visibility GIS Identification (information) Viewshed analysis Artificial intelligence recognition business 050703 geography Information Systems |
| Zdroj: | Addi. Archivo Digital para la Docencia y la Investigación instname |
| Popis: | Identification of terrain surface features can be done using approaches such as visual observation or remote sensing image processing. Accurate detection of survey targets at the ground level primarily depends on human visual acuity or sensor resolution, and then on acquisition geometry (i.e. the relative position and orientation between the surveyor and the terrain). Further, the delimitation of the observer's viewshed boundary or of the sensor's ground footprint is sometimes insufficient to ensure that all enclosed targets can be correctly detected. Size and orientation can hamper ground target visibility. In this paper we describe a new release of r.survey, an open-source spatial analysis tool for terrain survey assessment. This tool offers the necessary information to assess how terrain morphology is perceived by observers and/or sensors by means of three basic visibility metrics: 3D distance, view angle, and solid angle. It is also fully customizable, allowing single or multiple observation points, ground or aerial point of view, and size setting of the observed target, making it useful for many different purposes. This work was supported by the postdoctoral fellowship program of the Basque Government obtained by one of the authors [grant numbers POS_2019_1_0020] in collaboration with the Geological Survey of Canada; the research group IT1029-16 of the University of the Basque Country (UPV/EHU); and the geomorphology group of CNR IRPI. |
| Databáze: | OpenAIRE |
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