Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn

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 an...

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Main Authors: Abd Latif, Zulkiflee (Dr.), Blackburn, George Alan (Dr.)
Format: Article
Language:en
Published: UiTM Press 2011
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Online Access:https://ir.uitm.edu.my/id/eprint/62895/1/62895.pdf
https://ir.uitm.edu.my/id/eprint/62895/
https://jeesr.uitm.edu.my/v1/
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author Abd Latif, Zulkiflee (Dr.)
Blackburn, George Alan (Dr.)
author_facet Abd Latif, Zulkiflee (Dr.)
Blackburn, George Alan (Dr.)
author_sort Abd Latif, Zulkiflee (Dr.)
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description 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 spatial 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 spatiotemporal dynamics of microclimates over an entire forest stand.
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institution Universiti Teknologi Mara
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spelling my.uitm.ir-628952025-07-31T03:54:01Z https://ir.uitm.edu.my/id/eprint/62895/ Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn jeesr Abd Latif, Zulkiflee (Dr.) Blackburn, George Alan (Dr.) Remote Sensing 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 spatial 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 spatiotemporal dynamics of microclimates over an entire forest stand. UiTM Press 2011-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/62895/1/62895.pdf Abd Latif, Zulkiflee (Dr.) and Blackburn, George Alan (Dr.) (2011) Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn. (2011) Journal of Electrical and Electronic Systems Research (JEESR) <https://ir.uitm.edu.my/view/publication/Journal_of_Electrical_and_Electronic_Systems_Research_=28JEESR=29.html>, 4 (1): 2. pp. 10-18. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/
spellingShingle Remote Sensing
Abd Latif, Zulkiflee (Dr.)
Blackburn, George Alan (Dr.)
Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn
title Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn
title_full Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn
title_fullStr Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn
title_full_unstemmed Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn
title_short Deriving spatial inputs for forest microclimate modelling using remote sensing techniques / Zulkiflee Abd Latif and George Alan Blackburn
title_sort deriving spatial inputs for forest microclimate modelling using remote sensing techniques / zulkiflee abd latif and george alan blackburn
topic Remote Sensing
url https://ir.uitm.edu.my/id/eprint/62895/1/62895.pdf
https://ir.uitm.edu.my/id/eprint/62895/
https://jeesr.uitm.edu.my/v1/
url_provider http://ir.uitm.edu.my/