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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Pei Du Peijun Cao Wen Xia Junshi |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Remote Sensing and Geographical Information Science, China University of Mining and Technology, Xuzhou City, Jiangsu Province 221008, China (Liu Pei; Du Peijun; Cao Wen; Xia Junshi) |
| Abstract | Remote sensing of Urban Heat Islands (UHIs) usually used Land Use and Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), normalized difference built-up index (NDBI) and Vegetation-Impervious Surface Area (ISA)-Soil (V-I-S) model separately in the past. The purpose of this paper is to examine the relationship between surface thermal patterns with land cover types, NDVI and VIS model as a whole. LST was derived using three different algorithms from remotely sensed images at two different scales and LUCC map was obtained by SVM classification method. The results demonstrate that LST retrieval from Landsat ETM+ image by improved MWA algorithm is more suitable for analyzing relationship between urban structures with urban heat islands in Xuzhou. By analyzing the relationship between LST and land cover type, it also indicated that SVM classified result and VIS have a good uniformity. The analytical correlation between UHIs and different indices indicated that correlation between indices with UHIs change slightly among the different fraction in different city structures. The special distribution of heat island shows that building area, bare land, semi-bare land and land under development are warmer than other surface type, and higher temperature in the UHIs was related to certain land cover types and distributed with a scattered pattern. By making an integration analysis of NDVI, NDBI and LST, it was confirmed that strong positive correlations between LST and NDBI existed, as with negative correlations between LST and NDVI. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 2014276 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424434602 |
| DOI | 10.1109/URS.2009.5137662 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Algorithm design and analysis Satellites Image analysis Image retrieval Land surface Support vector machine classification Vegetation mapping Thermal pollution Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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