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...
Main Author: | |
---|---|
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 |
id |
ump-1267 |
---|---|
recordtype |
eprints |
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. |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
QC Physics |
spellingShingle |
QC Physics Nurliyana, Md Asar Estimating daily net radiation flux (Rn) using remote sensing technique |
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). |
format |
Undergraduates Project Papers |
author |
Nurliyana, Md Asar |
author_facet |
Nurliyana, Md Asar |
author_sort |
Nurliyana, Md Asar |
title |
Estimating daily net radiation flux (Rn) using remote sensing technique |
title_short |
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_sort |
estimating daily net radiation flux (rn) using remote sensing technique |
publishDate |
2009 |
url |
http://umpir.ump.edu.my/id/eprint/1267/ http://umpir.ump.edu.my/id/eprint/1267/1/CD4371.pdf |
first_indexed |
2023-09-18T21:54:16Z |
last_indexed |
2023-09-18T21:54:16Z |
_version_ |
1777413973589622784 |