NDLI: Extraction of gap and canopy properties using LiDAR and multispectral data for forest microclimate modelling

Content Provider	IEEE Xplore Digital Library
Author	Latif, Z.A. Blackburn, G.A.
Copyright Year	2010
Description	Author affiliation: Lancaster Environment Centre, Lancaster University LA1 4YQ, Lancaster, United Kingdom (Latif, Z.A.; Blackburn, G.A.)
Abstract	The creation of gaps in forest canopies can dramatically change the microclimate and soil water balance which strongly influences the process of regeneration and biodiversity within forest ecosystems. Hence, understanding the microclimatic conditions in canopy gaps is a prerequisite in developing and improving techniques for forest management and conservation practices. However, information is scarce on how the size and shape of gaps and their spatial distribution affects the microclimate and soil water balance across forest stands. In the present study we investigated the potential for retrieving forest gap and canopy attributes from LiDAR and multispectral sensors in order to provide new opportunities for modelling forest microclimates. A spatially explicit microclimate model (FORGAP-BD) was developed which could be driven using inputs from remote sensing. The model was implemented for a study site in the broadleaved deciduous forest, Eaves Wood, UK in order to quantify the spatio-temporal dynamics of microclimates over an entire forest stand.
Starting Page	1
Ending Page	5
File Size	1084489
Page Count	5
File Format	PDF
ISBN	9781424471218
e-ISBN	9781424471225
DOI	10.1109/CSPA.2010.5545315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-21
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Broadleaved deciduous Shape LiDAR Water conservation Data mining Multispectral Remote sensing Global Positioning System Laser radar Spatial Soil Spatial resolution Water resources Classification tree analysis Meteorology
Content Type	Text
Resource Type	Article

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