TESTING OF V3.SUN MODULE PROTOTYPE FOR SOLAR RADIATION MODELLING ON 3D OBJECTS WITH COMPLEX GEOMETRIC STRUCTURE
| Autor: | Ján Šašak, M. Bombara, Michal Gallay, Katarína Onačillová, Vladimír Sedlák, S. Zubal, Jozef Šupinský, Ján Kaňuk, Jaroslav Hofierka |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
lcsh:Applied optics. Photonics
Structure (mathematical logic) Laser scanning lcsh:T business.industry Computer science 0211 other engineering and technologies lcsh:TA1501-1820 02 engineering and technology computer.file_format Radiation 010502 geochemistry & geophysics Solar energy lcsh:Technology 01 natural sciences Photogrammetry lcsh:TA1-2040 Computer graphics (images) Raster graphics lcsh:Engineering (General). Civil engineering (General) business computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W15, Pp 35-40 (2019) |
| ISSN: | 2194-9034 |
| Popis: | High-resolution solar radiation modelling requires the three-dimensional geometric structure of the landscape to be respected. Currently, remote sensing methods such as laser scanning and close-range photogrammetry are most commonly used for detailed mapping. The output is detailed 3D models containing buildings, trees, relief and other landscape features. The raster approach allows modeling solar energy for relief, but it is unsuitable for landscape objects such as buildings and trees. The polygonal features vector approach is mainly designed for buildings. Our goal is to create a freely available tool for highly detailed solar radiation modelling for geometrically complex 3D landscape objects. In the paper, we present a prototype of the v3.sun module. We propose a solution of solar radiation modeling designed for all landscape features based on TIN data structure. In the paper, tests of the proposed algorithmic solution for various types of 3D data obtained from the above-mentioned collection methods are demonstrated. |
| Databáze: | OpenAIRE |
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