Estimating daily net radiation flux (Rn) using remote sensing technique

Daily net radiation (R24n) is key variable in hydrological studies. This study highlight Remote Sensing (Rs) technique for derivation of R24n. Satellite image was used in order to determine spatially distributed information on daily net radiation using land surface temperature, albedo and short wave...

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Main Author: Nurliyana, Md Asar
Format: Undergraduates Project Papers
Language:English
Published: 2009
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/1267/
http://umpir.ump.edu.my/id/eprint/1267/1/CD4371.pdf
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author Nurliyana, Md Asar
author_facet Nurliyana, Md Asar
author_sort Nurliyana, Md Asar
building UMP Institutional Repository
collection Online Access
description Daily net radiation (R24n) is key variable in hydrological studies. This study highlight Remote Sensing (Rs) technique for derivation of R24n. Satellite image was used in order to determine spatially distributed information on daily net radiation using land surface temperature, albedo and short wave radiation. Reasonable estimates of R24n were obtained for spatially distributed Land use and Land cover (LULC).
first_indexed 2025-11-15T01:11:55Z
format Undergraduates Project Papers
id ump-1267
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:11:55Z
publishDate 2009
recordtype eprints
repository_type Digital Repository
spelling ump-12672015-03-03T07:49:55Z http://umpir.ump.edu.my/id/eprint/1267/ Estimating daily net radiation flux (Rn) using remote sensing technique Nurliyana, Md Asar QC Physics Daily net radiation (R24n) is key variable in hydrological studies. This study highlight Remote Sensing (Rs) technique for derivation of R24n. Satellite image was used in order to determine spatially distributed information on daily net radiation using land surface temperature, albedo and short wave radiation. Reasonable estimates of R24n were obtained for spatially distributed Land use and Land cover (LULC). 2009-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1267/1/CD4371.pdf Nurliyana, Md Asar (2009) Estimating daily net radiation flux (Rn) using remote sensing technique. Faculty of Civil Engineering & Earth Resources, Universiti Malaysia Pahang.
spellingShingle QC Physics
Nurliyana, Md Asar
Estimating daily net radiation flux (Rn) using remote sensing technique
title Estimating daily net radiation flux (Rn) using remote sensing technique
title_full Estimating daily net radiation flux (Rn) using remote sensing technique
title_fullStr Estimating daily net radiation flux (Rn) using remote sensing technique
title_full_unstemmed Estimating daily net radiation flux (Rn) using remote sensing technique
title_short Estimating daily net radiation flux (Rn) using remote sensing technique
title_sort estimating daily net radiation flux (rn) using remote sensing technique
topic QC Physics
url http://umpir.ump.edu.my/id/eprint/1267/
http://umpir.ump.edu.my/id/eprint/1267/1/CD4371.pdf