Abutaleb, K., Ngie, A., Darwish, A., Ahmed, M., Arafat, S., Ahmed, F., (2015), Assessment of urban heat island using remotely sensed imagery over Greater Cairo, Egypt, Advances in Remote Sensing, 4(01): 1-35.
Ahmed Metwally, A. S., (2018), Landuse Landcover Changes in Delta Province of Egypt: 1984 - 2000 – 2016, Master Thesis, Department of Geoinformatics - Z_GIS University of Salzburg, Austria.
Buettner, K. j. k., Ken, C. D., (1994), Determination of infrared Emissivities of terrestrial Surface, Journal of Geophysical Research, 70(1965): 1329-1337.
Byrne G. F., (1979), Remotely sensed land cover temperature and soil water status – a brief review, Remote Sensing of Environment, 8: 291-305.
Blaschke, T., (2010), Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, 65(1): 2-16.
Chaudhuri, B. B., Sarkar, N., (1995), Texture segmentation using fractal dimension, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 17(1): 72-77.
Caselles, V., Coll, C., Valor, E., Rubio, E., (1995), Mapping land surface emissivity using AVHRR data: Application to La Mancha, Spain, Remote Sensing Reviews, 12(2): 3311– 3330.
Comber, A., Fisher, P., Brunsdon, C., Khmag, A., (2012), Spatial analysis of remote sensing image classification accuracy, Remote Sensing of Environment, 127: 237–246.
Cao, L., Li, P., Zhang, L., Chen, T., (2008), Remote sensing image-based analysis of the relationship between urban heat island and vegetation fraction, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37: 1379-1384.
García-Haro, F. J., Sommer, S., Kemper, T., (2005), Variable multiple endmember spectral mixture analysis (VMESMA), International Journal of Remote Sensing, 26: 2135-2162.
Johnson, B., Tateishi, R., Kobayashi, T., (2012), Remote sensing of fractional green vegetation cover using spatially-interpolated endmembers, Remote Sensing, 4(9): 2619- 2634.
Khandelwal, S., Goyal, R., Kaul, N., Mathew, A., (2017), Assessment of land surface temperature variation due to change in elevation of area surrounding Jaipur, India, The Egyptian Journal of Remote Sensing and Space Science, 20: 1-18.
Kou, X., Jiang, L., Bo, Y., Yan, S., Chai, L., (2016), Estimation of land surface temperature through blending MODIS and AMSR-E data with the Bayesian maximum entropy method, Remote sensing, 8(2): 1-17.
Kogan, F., (1993), United States droughts of late 1980's as seen by NOAA polar orbiting satellites, International conference Geoscience and Remote Sensing Symposium. Pp, 197-199.
Kruse, F. A., (2004), Comparison of ATREM, ACORN, and FLAASH Atmospheric Corrections Using Low-Altitude AVIRIS Data of Boulder, Colorado. Proceedings of 13th JPL Airborne Geoscience Workshop, Pasadena, CA, USA, 31 March–2 April.
Lillesand, T. M., Kiefer, R. W., (2000), Remote sensimg and image interpretation, John Wiley and Sons, 520p.
Latif, M. S., (2014), Land Surface Temperature Retrieval of Landsat-8 Data Using Split Window Algorithm—A Case Study of Ranchi District, International Journal of Engineering Development and Research, 2: 3840-3849.
Mallick, J., Kant, Y., Bharath B. D., (2008), Estimation of Land Surface Temperature over Delhi Using Landsat-7 ETM+, Journal of the Indian Geography :union:, 12(3): 131-140.
Mitraka, Z., Chrysoulakis, N., Doxani, G., Del Frate, F., Berger, M., (2015), Urban surface temperature time series estimation at the local scale by spatial-spectral unmixing of satellite observations, Remote Sensing, 7(4): 4139-4156.
Matthew, M. W., Adler-Golden, S. M., Berk, A., Felde, G., Anderson, G. P., Gorodetzky, D., Paswaters, S., Shippert, S., (2002), Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data, Applied Imagery Pattern Recognition Workshop. Proceedings., Washington, DC, USA.157-163.
Offer, R., Qin, Zh., Derimian, Y., Karnieli, A., (2014), Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm, Sensor, 14(4): 5768–5780.
Oruc, M., Marangoz, A. M., Buyuksalih, G., (2004), Comparison of pixel-based and object-oriented classification approaches using Landsat-7 ETM spectral bands, In Proceedings of XX ISPRS Congress, pp.1-5.
Prata, A. J., (1993), Land surface temperatures derived from the advanced very high resolution radiometer and the along-track scanning radiometer: 1. Theory, Journal of Geophysical Research, 98: 16689– 16702.
Rajeshwari, A., Mani, N. D., (2014), Estimation of Land Surface Temperature of Dindigul District Using Landsat 8 Data, International Journal of Research in Engineering and Technology, 3(5): 1-15.
Sun Y. J., Wang J. F., Zhang R. H., Gillies R. R., Xue Y., Bo, Y. C., (2004), Air temperature retrieved from remote sensing data based on thermodynamics, Theoretical and Applied Climatology, 80(37): 37-48.
Srivastava, P. K., Majumdar, T. J., Bhattacharya, A. K., (2009), Surface Temperature Estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ Thermal Infrared Data, Advances in Space Research, 4: 1563-1574.
Suresh, S., Ajay Suresh, V., Mani, K., (2016), Estimation of land surface temperature of high range mountain landscape of Devikulan Taluk using landsal 8 data, International Journal of Research in Engineering and Technology, 5(1): 2321-7308.
Weng, Q., Lu, D., Schubring, J., (2004), Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment, 89: 467–483.
Xian, G., Crane, M., (2006), An Analysis of Urban Thermal Characteristics and Associated Land Cover in Tampa Bay and Las Vegas Using Satellite Data, Remote Sensing of Environment, 104: 147-156.
Yichun, X., Zongyao, S., Mei, Y., (2008), Remote Sensing Imagery in Vegetation Mapping: A Review, Journal of Plant Ecology, 1(1): 9-23.
Zhan, Q., Meng, F., Xiao, Y., (2015), Exploring the relationships of between land surface temperature, ground coverage ratio and building volume density in an urbanized environment, The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(7): 227-255.
Zhou, W., Troy, A., (2008), An object-based approach for analysing and characterizing urban landscape at the parcel level. International Journal of Remote Sensing, 29: 3119-3135.