| 000 | 01560nam a2200277 a 4500 | ||
|---|---|---|---|
| 001 | vtls000045993 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204428.0 | ||
| 008 | 100607t2009 my a f m 000 0 eng d | ||
| 020 | _aTHE0002066(Local) | ||
| 039 | 9 |
_a201905131624 _byusri _c201107132323 _dVLOAD _c201006071022 _dida _c201006070828 _dida _y201006070828 _zida |
|
| 040 | _aUMP | ||
| 090 | _aQC915.6 .N87 2009 rs Bc. | ||
| 100 | 0 | _aNurliyana Md Asari | |
| 245 | 1 | 0 |
_aEstimating daily net radiation flux (Rn) using remote sensing technique / _cNurliyana Binti Md Asar |
| 246 | 3 |
_aEstimating daily net radiation flux (Rn) using remote sensing technique _h[electronic resource] |
|
| 260 |
_aKuantan, Pahang : _bUMP, _c2009 |
||
| 300 |
_axiii, 39 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc |
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| 502 | _aProject paper (Bachelor of Civil Engineering) -- Universiti Malaysia Pahang - 2009 | ||
| 504 | _aBibliography : p. 39 | ||
| 520 | 3 | _aDaily 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). | |
| 650 | 0 | _aEvaporation (Meteorology) | |
| 650 | 0 | _aEvapotranspiration | |
| 650 | 0 | _aRemote sensing | |
| 999 |
_aVIRTUA40 _c1882 _d1888 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992 | ||