4.7 Article

Developing platform of 3-D visualization of forest landscape

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 157, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2022.105524

Keywords

Forest landscape visualization (FLV); Forest landscape model; Unreal engine; 3D visualization; Tree model; Multi-spatiotemporal scales

Funding

  1. Joint Fund of National Natural Science Foundation of China [U19A2023]
  2. National Key R&D Program of China [2017YFA0604403-3]
  3. National Natural Science Foundation of China [42101107]
  4. Natural Science Foundation of Jilin Province, China [YDZJ202201ZYTS487]

Ask authors/readers for more resources

3D visualization is an efficient tool for understanding forest landscape changes, and the FLV platform has advantages in terms of realism, efficiency, and navigation, providing potential solutions for the digital representation of complex environmental change.
The recording and simulation data of forest landscapes are massive, high-dimensional, and abstract, requiring intuitive representation. 3-D visualization is an efficient tool to comprehend possible landscape changes generated by real-world or forest landscape models. Based on current advantages of game engines (realism and convenience), we developed a platform for 3-D visualization of forest landscapes (FLV). FLV streamlines multiple software and programming languages to break barrier between geographic data and game engine and transforms outputs of forest landscape models into visualization parameters. Compared with previous 3-D visualizations, FLV has better realism, efficiency, and navigation. We used simulation data of post-volcanic eruption forest landscape recovery in Changbai Mountain as a case study and demonstrated functionalities of FLV. FLV can visualize seamlessly from individual tree to forest stand and landscape scales, and from individual year to de-cades and centuries temporal scales. It offers potential solutions for the digital representation of complex environmental change.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available