Trend assessment of spatio-temporal change of Tehran Heat Island using satellite images

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 40, Issue 1W5, 2015, Pages 657-663

  Saradjian, M R ^a   Sherafati, Sh ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Satellite images; Thermal inertia; Urban climate; Urban Heat Island

Indexed keywords

ATMOSPHERIC TEMPERATURE; CARBON DIOXIDE; CLIMATE CHANGE; FOSSIL FUELS; LAND SURFACE TEMPERATURE; LANDFORMS; REMOTE SENSING; SATELLITES; SURFACE MEASUREMENT; SURFACE PROPERTIES;

BARE SOILS; HEAT ISLAND; LAND SURFACE TEMPERATURE; SATELLITE IMAGES; SPATIO-TEMPORAL CHANGES; TEMPERATURE VARIABILITY; THERMAL INERTIA; URBAN AREAS; URBAN CLIMATES; URBAN HEAT ISLAND;

VEGETATION;

EID: 84974602107     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XL-1-W5-657-2015     Document Type: Conference Paper

References (20)

1. Anon., 2008. NOAA Polar Orbiter Data User's Guide Section 3.3. [Online] Available at: http://www.ncdc.noaa.gov/oa/pod-guide/ncdc/docs/podug/html/c3/sec3-3.htm [Accessed 12 Novembwr 2010].
2. Anon., 2010. www.yale.edu/ceo/Documentation/DN-to-Kelvin.pdf. [Online] Available at: http://www.yale.edu/ceo/
3. Becker, F. & Li, Z., 1990. Towards a local split window method over land surface. international journal of remote sensing, p. 369-393.
4. Dousset, B. & Gourmelon, F., 2003. Satellite multi-sensor data analysis of urban surface temperatures and landcover. ISPRS Journal of Photogrammetry & Remote Sensing, pp. 43-54.
5. Durbha, S., King, R. L. & Younan, N. H., 2007. Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer. Remote Sens. Environ, Volume 107, pp. 348-361.
6. Fabrizi, R., Bonafoni, S. & Biondi, R., 2010. Satellite and Ground-Based Sensor for the Urban Heat Island Analysis in the City of Rome. Remote Sensing, pp. 1400-1415.
7. Hu, Y. & Jia, G., 2010. Influene of land use change on urban heat island derived from multi-sensor data. International Journal of Climatology, pp. 1382-1395.
8. Kerr, Y. H., Lagouarde, J. P., Nerry, F. & Ottle, C., 2005. Land surface temperature retrieval techniques and applications. In: Thermal Remmote Sensing in Land Surface Processes. s.l.:s.n., pp. 33-109.
9. Mahmudian, A. a., Ghasemi, H., Houshmand fini, g. r. & Artidar, R., 2006. A glance at Tehran from the beginnig uptill now. Tehran: GITASHENASI Geographical & Cartographic Institute.
10. Moser, G., Serpico & B, S., 2009. Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data. Temperature Estimation From Remote Sensing Data, 3(47), pp. 909-921.
11. Nakano, M. & Kalpoma, K. A., 2004. Automatic GCP creation for NOAA AVHRR image Geometric Correction. Anchorage, AK, IEEE international, pp. 3733-3735.
12. Poli, G., Adembri, G., Gherardelli, M. & Tommasini, M., 2010. Dynamic threshold cloud detection algorithm improvement for AVHRR seviri images. s.l., IEEE, p. 4146-4149.
13. Pu, R., Gong, P., Michishita, R. & Sasagawa, T., 2006. Assessment of multi-resolution and multi-sensor data for urban surface temperature retrieval. Remote Sensing of Environment, pp. 211-225.
14. Sobrino, J. A., Jimenez-Munoz, J. C. & Polini, L., 2004. Land surface temperature retrieval from LANDSAT TM5. Remote Sensing of Environment, pp. 434-440.
15. Streutker, D., 2003. Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment, pp. 282-289.
16. Tso, B. & Mather, P. M., 2009. CLASSIFICATION METHODS FOR REMOTELY SENSED DATA. 2nd ed. s.l.:Taylor & Francis Group, LLC.
17. Valor, E. & Caselles, V., 1996. Mapping land surface emissivity from NDVI: application to European, and south American Areas. Remotr Sensing of Environment, p. 167-184.
18. Vapnik, V., 1979. Estimation of dependences based on empirical data. Nauka, Moscow, Springer-Verlag.
19. Weng, Q., Lu, D. & Schubring, J., 2004. Estimation of land surface temperature-vegetation abundance ralationship for urban heat island studies. Remote Sensing of Environment, p. 467-483.
20. Zhu, S.-Y., Yin, Q. & Kuang, D.-B., 2006. Using characteristic spectral bands of OMIS1 imaging spectrometer to retrieve urban land surface temperature. International Journal of Remote Sensing, pp. 1661-1676.