3D Cloud and Storm Reconstruction from Satellite Image

Chuai-Aree, Somporn; Jäger, Willi; Bock, Hans Georg; Krömker, Susanne; Kanbua, Wattana; Siripant, Suchada

doi:10.1007/978-3-540-79409-7_12

Cited by 2 publications

(1 citation statement)

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“…With the availability of cloud‐related data, the data‐driven methodology enables an intuitive and physically meaningful solution for modeling clouds. There are three types of cloud‐related data: satellite images [DNYO98, CAJB*08, DYN09, YLHY13], simulation data [REHL03, HHS07], and photographic images [DSY10, YLH*14, JC16]. In contrast to simulation data and photographic images, satellite images, recording multi‐spectral radiation information, contain more available information for modeling physically realistic clouds and large‐scale cloud systems.…”

Section: Related Workmentioning

confidence: 99%

Modeling Cumulus Cloud Scenes from High‐resolution Satellite Images

Zhang

Liang

Yuan

et al. 2017

Computer Graphics Forum

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Figure 1: Our physically-based method automatically reconstructs large-scale cumulus cloud scenes from high-resolution satellite images.A key aspect of our approach is to extract necessary features for modeling clouds, generating physically sound simulation results. AbstractWe present a reconstruction framework, which fits physically-based constraints to model large-scale cloud scenes from satellite images. Applications include weather phenomena visualization, flight simulation, and weather spotter training. In our method, the cloud shape is assumed to be composed of a cloud top surface and a nearly flat cloud base surface. Based on this, an effective method of multi-spectral data processing is developed to obtain relevant information for calculating the cloud base height and the cloud top height, including ground temperature, cloud top temperature and cloud shadow. A lapse rate model is proposed to formulate cloud shape as an implicit function of temperature lapse rate and cloud base temperature. After obtaining initial cloud shapes, we enrich the shapes by a fractal method and represent reconstructed clouds by a particle system. Experiment results demonstrate the capability of our method in generating physically sound large-scale cloud scenes from high-resolution satellite images.

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