Research on LAI Retrieving Applied for Virtual Reality Simulation of Vegetation

Tong Pan; Xiao Jing Li; Hao Peng Wang; Kai Zhao

doi:10.4028/www.scientific.net/AMM.263-266.1473

Paper Titles

Research of Applying Usability Engineering to Design of Distance Education System
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Research on Dynamic Authorization Access Control Strategy Model of Distributed Multi-Organization MIS
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Research on Flexible Web Application Data Modeling Based on XML Database
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Research on LAI Retrieving Applied for Virtual Reality Simulation of Vegetation
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Research on Optimization Method of Extreme Learning Machine
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Research on Task-Oriented Application Design
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Research on the Universities Library Information Wed Portal Based on the Concept of Web2.0
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Scalable Checkpointing-Based Rollback Recovery Protocol for Geographically Distributed Systems
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Research on LAI Retrieving Applied for Virtual...

Research on LAI Retrieving Applied for Virtual Reality Simulation of Vegetation

Abstract:

It is the key process for developing usability of virtual reality simulation of vegetation taking into account soil, chemistry elements of water, temperature and humidity of land surface, and lighting. Retrieving the characteristics of vegetation from remote sensing data effectively and exactly, building the relationship between remote sensing data and interfaces of VR-vegetation models are important. The paper discusses dense vegetation model, nondense vegetation model, and two-stream approximation model applied for LAI retrieving, analyzes the efficiency of the methods; presents the process and method of LAI retrieving based on FPAR. The research offers the key methods and theoretic support for virtual reality simulation of vegetation based on spatial remote sensing information. The research is the primary work of digital agriculture, and important for monitoring corn growth and estimating in northeast of China.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

1473-1477

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.1473

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Online since:

December 2012

Authors:

Tong Pan*, Xiao Jing Li, Hao Peng Wang, Kai Zhao

Keywords:

LAI, Remote Sensing, Retrieving, VR-Based Simulation of Vegetation

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* - Corresponding Author

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