Video: Fire in Paradise: Mesoscale Simulation of Wildfires

Hädrich, Torsten; Banuti, Daniel T.; Pałubicki, Wojciech; Pirk, Sören; Michels, Dominik L.

doi:10.1103/aps.dfd.2021.gfm.v0025

Cited by 3 publications

(3 citation statements)

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“…The seminal article of Deussen et al [1998] introduced a competition for resources on the plant level, and this approach has been recently extended towards the competition of individual trees in ecosystems [Makowski et al 2019]. Various techniques attempt to simulate ecosystems considering different phenomena, such as erosion or wildfires [Hädrich et al 2021], and even by locally learning plant distributions and using them as interactive brushes [Emilien et al 2015;. Closely related to our approach is the work of Benes et al [2011] that models urban ecosystems by combining wild ecosystem growth from Deussen et al [1998] with controlled plant management.…”

Section: Related Workmentioning

confidence: 99%

Procedural Urban Forestry

et al. 2022

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The placement of vegetation plays a central role in the realism of virtual scenes. We introduce procedural placement models (PPMs) for vegetation in urban layouts. PPMs are environmentally sensitive to city geometry and allow identifying plausible plant positions based on structural and functional zones in an urban layout. PPMs can either be directly used by defining their parameters or learned from satellite images and land register data. This allows us to populate urban landscapes with complex 3D vegetation and enhance existing approaches for generating urban landscapes. Our framework’s effectiveness is shown through examples of large-scale city scenes and close-ups of individually grown tree models. We validate the results generated with our framework with a perceptual user study and its usability based on urban scene design sessions with expert users.

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Section: Related Workmentioning

confidence: 99%

Procedural Urban Forestry

et al. 2022

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“…Using the occupancy, the minimal and maximal height maps, we can reconstruct a watertight triangular mesh for each layer by connecting adjacent non-empty pixels in a 4-neighborhood graph and using their corresponding height. Such side-product mesh can be used for downstream visualisation, computational or simulation tasks such as biomass estimation, forest fire prevention, ecological studies or ground illumination modeling [8,16].…”

Section: Inferencementioning

confidence: 99%

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans

Kalinicheva¹,

Landrieu²,

Mallet³

et al. 2022

Preprint

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The analysis of the multi-layer structure of wild forests is an important challenge of automated large-scale forestry. While modern aerial LiDARs offer geometric information across all vegetation layers, most datasets and methods focus only on the segmentation and reconstruction of the top of canopy. We release WildForest3D, which consists of 29 study plots and over 2000 individual trees across 47 000m 2 with dense 3D annotation, along with occupancy and height maps for 3 vegetation layers: ground vegetation, understory, and overstory. We propose a 3D deep network architecture predicting for the first time both 3D pointwise labels and high-resolution layer occupancy rasters simultaneously. This allows us to produce a precise estimation of the thickness of each vegetation layer as well as the corresponding watertight meshes, therefore meeting most forestry purposes. Both the dataset and the model are released in open access: https://github.com/ ekalinicheva/multi_layer_vegetation.

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“…Since then graphics researchers have managed to continuously push the boundaries in fluid simulation such as realistically simulating water [3] and smoke [4] as well as fluid flow around objects [5]. Recent contributions, e.g., address fluid phenomena such as bubble rings [6] and waves on a vast ocean [7], and even complex natural phenomena such as storms [8], several weather phenomena [9], [10], ecoclimates [11], and wildfires [12]. In 2007, Bridson and M üller-Fischer [13] gave an influential course at SIGGRAPH providing a practical introduction to fluid simulation for graphics enabling the audience to animate fully three-dimensional incompressible flow.…”

Section: Introductionmentioning

confidence: 99%

A Current Loop Model for the Fast Simulation of Ferrofluids

Shao

Huang

Michels

2023

IEEE Trans. Visual. Comput. Graphics

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Ferrofluids are oil-based liquids containing magnetic particles that interact with magnetic fields without solidifying. Leveraging the exploration of new applications of these promising materials (such as in optics, medicine and engineering) requires high fidelity modeling and simulation capabilities in order to accurately explore ferrofluids in silico. While recent work addressed the macroscopic simulation of large-scale ferrofluids using smoothed-particle hydrodynamics (SPH), such simulations are computationally expensive. In their work, the Kelvin force model has been used to calculate interactions between different SPH particles. The application of this model results in a force pointing outwards with respect to the fluid surface causing significant levitation problems. This drawback limits the application of more advanced and efficient SPH frameworks such as divergence-free SPH (DFSPH) or implicit incompressible SPH (IISPH). In this contribution, we propose a current loop magnetic force model which enables the fast macroscopic simulation of ferrofluids. Our new force model results in a force term pointing inwards allowing for more stable and fast simulations of ferrofluids using DFSPH and IISPH.

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Video: Fire in Paradise: Mesoscale Simulation of Wildfires

Cited by 3 publications

References 0 publications

Procedural Urban Forestry

Procedural Urban Forestry

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans

A Current Loop Model for the Fast Simulation of Ferrofluids

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