NDLI: Study on Land Surface Temperature Based on Landsat Image over Penang Island, Malaysia

Content Provider	IEEE Xplore Digital Library
Author	Tan, K.C. Lim, H.S. MatJafri, M.Z. Abdullah, K.
Copyright Year	2009
Abstract	Land surface temperature (LST) have been widely usedfor environmental studies and urban heat island (UHI),using satellite derived images. LST retrieval fromsatellite images has many advantages for research ascompared with in-situ measurement of air temperatures.For example, it will help to reduce the time consuming,more coverage of the study area with the high spatialresolution, etc. The objective of our study is to retrievethe LST over Penang Island and compare the trend andaverage value of LST within different types of (land useor land cover) LULC changes in single satellite image.LST was retrieved by ATCOR3_T using PCI Geomatica10.1 image processing software. The supervisedclassification was chosen to classified LULC changesover Penang Island. From the result obtained fromdifferent classification method, maximum likelihoodclassification showed the most accurate result comparedwith minimum distance-to-mean and parallelepipedmethods. The urban areas with high density resultedshown the highest LST between different LULC changes.These changes in LULC yield the significant differencein LST between urban and rural area. Therefore, LSTproved to be a good and effective tool to predict theimpact of LST to different LULC. Besides, therelationship between LST and NDVI also beeninvestigated for different LULC changes in this study.The strong negative and positive correlation wasobserved between LST and NDVI for different LULCchanges.
Starting Page	525
Ending Page	529
File Size	1331600
Page Count	5
File Format	PDF
ISBN	9780769537894
DOI	10.1109/CGIV.2009.94
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Image retrieval Urban areas Land surface Landsat 5 TM. Land surface temperature LST Remote sensing Temperature measurement Satellites Thermal pollution Spatial resolution ATCOR3_T
Content Type	Text
Resource Type	Article

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