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The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malaysia

Hassaballa A., Abdul-Haleem and Matori , Abdul Nasir (2011) The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malaysia. International Journal of Civil & Environmental Engineering IJCEE-IJENS , 11 (05). pp. 23-28.

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Abstract

Split window technique has been applied in this study to extract Land Surface Temperature (Ts) as a step leading to the retrieval of surface soil moisture and evapotranspiration over four study areas in Perak Tengah& Manjong, where the areas were selected according to the difference in surface cover type. Multiple NOAA/AVHRR images throughout June-August (2009) were acquired over the study area and processed; measured ground air temperature data (Ta) for the targeted areas were collected as well. Normalized Difference Vegetation Index (NDVI) and land surface Emissivity (ε) were calculated from image visible bands 1&2. The brightness temperature from bands 4&5 was then used with ε to derive Ts using three different split window algorithms. The results showed a good correlation between satellite estimated Ts and measured Ta especially when Uliveri algorithm was applied over the agricultural area with R reaching 87%. The application of the three formulas produced results that are in agreement with one another with accuracy ranges between 90 – 99%. This ensures the usefulness of using Uliveri, and Becker over the study area. A reasonable negative relationship also was found between NDVI and Ts over the uniform vegetation covers, indicating the applicability/suitability of the so called “Triangle method”. The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong)

Item Type:Article
Academic Subject One:Academic Department - Civil Engineering - Geotechnic and highway
Academic Subject Two:Geosciences
Departments / MOR / COE:Departments > Civil Engineering
ID Code:10789
Deposited By: Assoc Prof Dr Abd Nassir Matori
Deposited On:16 Dec 2013 23:48
Last Modified:20 Mar 2017 03:23

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