20.500.12556/DKUM-100385 GPU-based solar irradiance estimation over digital surface models using structurally lossless viewshed compression High-resolution solar irradiance modelling over large 3D geospatial data is computationally demanding, and accounting for surface inter-reflection makes it even so. For computational efficiency it requires storing for every part of the surface, explicit knowledge of the other surfaces visible from it (its viewshed). The storage of each surface’s viewshed grows with both the dataset size and the angular resolution, and quickly becomes the dominant mem ory bottleneck. This paper presents a novel Graphics Processing Unit (GPU)-accelerated method for estimating solar potential over Digital Surface Models (DSMs) that model direct, diffuse and reflective irradiances. It keeps the viewshed information compact through a novel structurally lossless compression, i.e., a domain-specific encoding of remote sensing derived visibility data that preserves exactly the visibility structure consumed by the radiative model, rather than a general-purpose integer coder. An ablation analysis over eight synthetic DSMs showed that the best compression scheme reached a compression ratio (CR) of up to ≈3.3, exceeding the general-purpose GPU baselines Binary Packing 32 and Elias-Fano on every dataset. On the largest DSM, whose 29.6GB uncompressed viewshed exceeds the 24GB device memory, compression kept the data resident and re duced the runtime from 6.7h to 0.5h. Finally, the proposed method was applied to LiDAR (Light Detection and Ranging)-derived DSMs for four distinct locations, with the results demonstrating its high applicability. solar irradiance GPGPU viewshed RLE structurally lossless compression sončno obsevanje vidno polje strukturna kompresija brez izgub true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/journal/remotesensing © 2026 by the authors Članek v reviji 2026-09-16 08:57:48 2026-09-16 08:57:49 2026-09-17 03:10:56 0000-00-00 00:00:00 2026 0 0 24 str. no. 17, [article no.] 3044 vol. 18 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2026-07-18 2026-09-03 2026-09-06 004.9 290297859 10.3390/rs18173044 2072-4292 https://www.mdpi.com/2072-4292/18/17/3044 1 ee2c1d38-b19b-11f1-b05b-00155d0001be https://dk.um.si/Dokument.php?lang=slv&id=212556 remotesensing-18-03044.pdf remotesensing-18-03044.pdf 1 DCE933B4251F4D43226203826F0F2EEE d52fb5956ba590bed6be4370f98a200d6a2a53364481e92c8813533b2a166e30 3906d68f-b19c-11f1-b05b-00155d0001be https://dk.um.si/Dokument.php?lang=slv&id=212557 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0