Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1447-1454, 2014
https://doi.org/10.5194/isprsarchives-XL-8-1447-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
23 Dec 2014
Remote Sensing Based Analysis of the Role of Land Use/Land Cover on Surface Temperature and Temporal Changes in Temperature; a Case Study of Ajmer District, Rajasthan
A. Hussain, P. Bhalla, and S. Palria Department of Remote Sensing & Geo-informatics, M.D.S. University, Ajmer, India
Keywords: Surface temperature, Processing, Analysis, Correlation, Comparison, Sampling, Satellite, Temporal Abstract. An attempt has been made in this research to analyze temporal variations in surface temperature in Ajmer District Rajasthan. The research is carried out to assess the relationship between the land surface temperatures (LST) and land cover (LC) changes both in quantitative and qualitative ways in Ajmer District area using Landsat TM/ETM+ data over the period 1989 to 2013.in this period we used three temporal TM/ETM data 1989, 2001 and 2013. Remote sensing of Land surface temperature (LST) has traditionally used the Normalized Difference Vegetation Index (NDVI) as the indicator of vegetation abundance to estimate the land surface temperature (LST)–vegetation relationship. Unsupervised classification methods have been taken to prepare the LC map. LST is derived from the thermal band of Landsat TM/ETM+ using the calibration of spectral radiance and emissivity correction of remote sensing. NDVI is derived from the NIR & RED Band using image enhancement technique (Indices). Arc-GIS have been utilized for data visualization. This procedure allowed analyzing whether LULC classes match LST classes. However, the results of such overlaying are hard to interpret. LST and LULC maps of these areas give the understanding on how the classes and corresponding LST have changed from one date to the other. Another option is to collect statistical data. it was impossible to calculate linear regression between LULC map and LST map. A solution to that matter is to use Normalized Vegetation Index (NDVI) instead of LULC classification result.
Conference paper (PDF, 1678 KB)


Citation: Hussain, A., Bhalla, P., and Palria, S.: Remote Sensing Based Analysis of the Role of Land Use/Land Cover on Surface Temperature and Temporal Changes in Temperature; a Case Study of Ajmer District, Rajasthan, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 1447-1454, https://doi.org/10.5194/isprsarchives-XL-8-1447-2014, 2014.

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