Sheikh Naimullah, Faidrullah (2007) Normalized Different Vegetation Index for Water Pipeline Leakage Detection. In: The 28th Asian Conference on Remote Sensing 2007, 12-16 November 2007, PWTC, Kuala Lumpur, Malaysia.
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Water pipeline leakage are the main contributor in Non-Revenue Water (NRW) percentage with 60%, followed by unregistered meter (23%), illegal use including fraudulent or unmetered connections (12%) and for maintenance and public usage (5%). In Malaysia, conventional techniques are still used in detecting water pipeline leakage. This technique is not efficient due to taken long period of times to produce a results, highly in cost, need for many operators to handle the equipments, and hard to implement for wide coverage areas. Through this study, satellite image processing such as landuse classification and vegetation indices can be used for detecting pipeline leakage at Mempatih, Pahang. The objective of the study is (i) to perform NDVI through SPOT5 image in the study area, (ii) to examine the accuracy of NDVI derived from SPOT5 image with spectroradiometer using RMSE analysis, and (iii) performed probability of normal distribution to validate the results. The result shows, RMSE between NDVI derived from SPOT5 and NDVI from spectroradiometer reflection gives a small error with 0.1. Meanwhile, the relationship between NDVI and MSI (R2=0.7803) gives high correlation compared to the NDWI (R2=0.7683). The probability result shows that 81.02% of NDVI at buffered area is valid to encounter the pipeline leakage problem in the study area.
|Item Type:||Conference or Workshop Item (Other)|
|Uncontrolled Keywords:||Remote sensing, NDVI and water pipeline leakage|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)|
|Divisions:||Geoinformation Science And Engineering (Formerly known)|
|Deposited By:||En. Tajul Ariffin Musa|
|Deposited On:||02 Jan 2008 03:45|
|Last Modified:||01 Jun 2010 03:20|
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