Understanding Ecology Through 3D Space

Advancing forest ecology research through innovative 3D modeling, physical mechanism simulation, and near-surface remote sensing technologies

3D Forest Structure
Microclimate Modeling
Remote Sensing

Research Focus

Our research bridges the gap between forest structure and microclimate dynamics, developing novel approaches to understand and quantify the complex interactions within forest ecosystems.

3D Light Heterogeneity

Pioneering the development of 3D spatial heterogeneity metrics for forest light environments, enabling unprecedented insights into canopy structure effects on understory conditions.

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Physical Microclimate Models

Building process-based models that simulate temperature, humidity, and radiation dynamics through energy balance and turbulent exchange mechanisms.

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UAV-LiDAR Applications

Leveraging cutting-edge UAV and LiDAR technologies to capture high-resolution 3D forest structure data for ecological modeling and monitoring.

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Plant-Environment Interactions

Investigating how microclimate heterogeneity shapes plant functional traits and community assembly in forest understories.

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Open Source Tools

We develop and maintain open-source software tools to advance forest ecology research worldwide.

Forest Digital Twin System

Ecological constraint-based 3D forest modeling workflow integrating LESS and Helios++ for virtual forest reconstruction.

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ESHI

Coming Soon

Enhanced Synthetic Hemispherical Image tool for high-precision sky view factor estimation from multi-platform LiDAR data.

GlobalForMetMapping

In Development

Global-scale forest microclimate mapping dataset providing hourly temperature and humidity grids. Release planned for Winter 2025.

Key Publications

Featured Paper

FLApy: A Python package for evaluating the 3D light availability heterogeneity within forest communities

Wang, B., Proctor, C., Yao, Z., et al.

Methods in Ecology and Evolution, 2024, 15(9): 1540-1552

Top-tier journal in Applied Ecology (IF: 8.9)

Detection and Quantification of Forest-Agriculture Ecotones Using UAV Imagery

Diversity, 2022 | View Paper

Urban Agglomeration of Kunming and Yuxi Cities: Policy Drivers and Environmental Constraints

Landscape Ecology, 2019 | View Paper

A Novel Forest Microclimate Model Reveals Wind-Mediated Asymmetry at Forest Edges

Agricultural and Forest Meteorology, In Revision

About Wangscape

Wangscape is a research initiative led by Dr. Bin Wang, focusing on advancing our understanding of forest microclimate through innovative 3D modeling and remote sensing approaches. Our work bridges ecology, physics, and computer science to tackle complex environmental challenges.

Based at Yunnan University with collaborations spanning from the Chinese Academy of Sciences to the University of Windsor, we are committed to open science and developing tools that empower researchers worldwide.

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Publications
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Open Tools
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Active Projects