학술논문

Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
Document Type
Periodical
Source
IEEE Geoscience and Remote Sensing Magazine IEEE Geosci. Remote Sens. Mag. Geoscience and Remote Sensing Magazine, IEEE. 9(1):232-257 Mar, 2021
Subject
Geoscience
Power, Energy and Industry Applications
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Laser radar
Vegetation mapping
Three-dimensional displays
Surface emitting lasers
Optical sensors
Ecosystems
Optical reflection
Language
ISSN
2473-2397
2168-6831
2373-7468
Abstract
The advent of lidar has revolutionized the way we observe and measure vegetation structure from the ground and from above and represents a major advance toward the quantification of 3D ecological observations. Developments in lidar hardware systems and data processing algorithms have greatly improved the accessibility and ease of use of lidar observations in ecological studies. A wide range of studies has been devoted to accurately measuring and modeling vegetation structural and functional attributes from lidar data across a range of spatial scales (from individual organs to global scales) and ecosystem types (e.g., forest, agricultural, grassland, and urban ecosystems).