Synchronizing 3D LiDAR-based reconstruction of animals and environment for in situ ecosystem characterization
Year: 2025
Type: article
Abstract: Recreating the physical structure of the world in three dimensions offers insights into the fine-grained changes of ecosystems and the principles of ecosystem organization. However, suitable data to synchronously measure how animals interact with their environment in three dimensions are scarce. This dimensional discrepancy between three-dimensional animal information and environmental structural data can have major implications for ecological studies. Here, we introduce a LiDAR-based trapping sampling method centered on the concept of three-dimensional animal remote sensing, aiming to enhance animal ecological research by synchronously collecting three-dimensional animal information and habitat structural data. Such efforts are valuable because they establish an effective bridge between animals and their three-dimensional habitat, facilitating a deeper understanding of their interactions and ecosystem dynamics.
Source: Information Geography
Authors: Haitao Yang, Yanjun Su, Baoguo Li, Qinghua Guo
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: hybrid
Estimated APC paid: $2,200
Awards: G1661711720, G4309690634, G7236599270
OpenAlex ID: W4410739937
