[1] Mitraka, Z., et al., Improving the estimation of urban surface emissivity based on sub-pixel classification of high resolution satellite imagery. Remote Sensing of Environment, 2012. 117: p. 125-134.
[2] Li, Z.-L., et al., Satellite-derived land surface temperature: Current status and perspectives. Remote Sensing of Environment, 2013. 131: p. 14-37.
[3] Li, Z.-L., et al., Evaluation of six methods for extracting relative emissivity spectra from thermal infrared images. Remote Sensing of Environment, 1999. 69(3): p. 197-214.
[4] Becker, F. and Z.L. Li, Surface temperature and emissivity at various scales: Definition, measurement and related problems. Remote Sensing Reviews, 1995. 12(3-4): p. 225-253.
[5] Tang, B.-H., et al., An improved NDVI-based threshold method for estimating land surface emissivity using MODIS satellite data. International Journal of Remote Sensing, 2015(ahead-of-print): p. 1-15.
[6] Rong, Y., et al. Emissivity measurement for low emissivity objects by two blackbody tube methods. in IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2012. Munich, Germany, July 22-27.
[7] Jiang, J.-x., Q.-h. Liu, and H. Li. A modified NDVI threshold method for estimating LSE from FY3A/VIRR data. in 2nd International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). 2012. Nanjing, Jiangsu, China, 01-03 Jun: IEEE.
[8] Boonmee, M., Land Surface Temperature and Emissivity Retrieval from Thermal Infrared Hyperspectral Imagery. 2007, Rochester Institute of Technology, PHD Thesis.
[9] Sobrino, J.A., et al., Land surface emissivity retrieval from different VNIR and TIR sensors. IEEE Transactions on Geoscience and Remote Sensing, 2008. 46(2): p. 316-327.
[10] Van de Griend, A. and M. Owe, On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. International Journal of remote sensing, 1993. 14(6): p. 1119-1131.
[11] Bastiaanssen, W., et al., A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. Journal of hydrology, 1998. 212: p. 198-212.
[12] [12 Snyder, W.C., et al., Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing, 1998. 19(14): p. 2753-2774.
[13] Sun, D. and R.T. Pinker, Estimation of land surface temperature from a Geostationary Operational Environmental Satellite (GOES‐8). Journal of Geophysical Research: Atmospheres (1984–2012), 2003. 108(D11).
[14] Wan, Z. and Z.-L. Li, A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data. Geoscience and Remote Sensing, IEEE Transactions on, 1997. 35(4): p. 980-996.
[15] Realmuto, V. Separating the effects of temperature and emissivity: Emissivity spectrum normalization. in Proc. 2nd TIMS Workshop. 1990.
[16] Coll, C., et al., Adjusted Normalized Emissivity Method for surface temperature and emissivity retrieval from optical and thermal infrared remote sensing data. Journal of Geophysical Research: Atmospheres (1984–2012), 2003. 108(D23).
[17] Valor, E., et al. The Adjusted Normalized Emissivity Method (ANEM) for land surface temperature and emissivity recovery. in Geoscience and Remote Sensing Symposium, 2003. IGARSS'03. Proceedings. 2003 IEEE International. 2003. IEEE.
[18] Richter, R. and D. Schläpfer, Atmospheric/topographic correction for satellite imagery, in DLR report DLR-IB. 2014: DLR-German Aerospace Center, Germany.
[19] Kahle, A.B., D.P. Madura, and J.M. Soha, Middle infrared multispectral aircraft scanner data: Analysis for geological applications. Applied Optics, 1980. 19(14): p. 2279-2290.
[20] Gillespie, A.R., et al., Temperature/emissivity separation algorithm theoretical basis document, version 2.4. ATBD contract NAS5-31372, NASA, 1999.
[21] Barducci, A. and I. Pippi, Temperature and emissivity retrieval from remotely sensed images using the “grey body emissivity” method. Geoscience and Remote Sensing, IEEE Transactions on, 1996. 34(3): p. 681-695.
[22] Wang, N., et al., Retrieval of atmospheric and land surface parameters from satellite-based thermal infrared hyperspectral data using a neural network technique. International Journal of Remote Sensing, 2013. 34(9-10): p. 3485-3502.
[23] Ma, X.L., et al., Simultaneous retrieval of atmospheric profiles, land-surface temperature, and surface emissivity from Moderate-Resolution Imaging Spectroradiometer thermal infrared data: Extension of a two-step physical algorithm. Applied optics, 2002. 41(5): p. 909-924.
[24] Taylor, S.E., Measured emissivity of soils in the southeast United States. Remote Sensing of Environment, 1979. 8(4): p. 359-364.
[25] Salisbury, J.W. and D.M. D'Aria, Emissivity of terrestrial materials in the 8–14 μm atmospheric window. Remote Sensing of Environment, 1992. 42(2): p. 83-106.
[26] Wang, K., et al., Estimation of surface long wave radiation and broadband emissivity using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature/emissivity products. Journal of Geophysical Research: Atmospheres (1984–2012), 2005. 110(D11).
[27] Joseph, G., Fundamentals of remote sensing. 2005: Universities Press.
[28] Minacapilli, M., et al., Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models. Hydrology and Earth System Sciences, 2009. 13(7): p. 1061-1074.
[29] Allen, R., et al., SEBAL (Surface Energy Balance Algorithms for Land). Advance Training and Users Manual–Idaho Implementation, version, 2002. 1: p. 97.
[30] [30] Feizizadeh, B., et al., Monitoring land surface temperature relationship to land use/land cover from satellite imagery in Maraqeh County, Iran. Journal of Environmental Planning and Management, 2013. 56(9): p. 1290-1315.
[31] Reuter, D., et al. The thermal infrared sensor on the landsat data continuity mission. in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International. 2010. IEEE.
[32] Ogawa, K., et al., Estimation of broadband land surface emissivity from multi-spectral thermal infrared remote sensing. Agronomie, 2002. 22(6): p. 695-696.
[33] Hulley, G.C., S.J. Hook, and A.M. Baldridge, Validation of the North American ASTER Land Surface Emissivity Database (NAALSED) version 2.0 using pseudo-invariant sand dune sites. Remote Sensing of Environment, 2009. 113(10): p. 2224-2233.
[34] Tang, B.-H., et al., Estimation of broadband surface emissivity from narrowband emissivities. Optics express, 2011. 19(1): p. 185-192.
[35] Wan, Z. and J. Dozier, A generalized split-window algorithm for retrieving land-surface temperature from space. Geoscience and Remote Sensing, IEEE Transactions on, 1996. 34(4): p. 892-905.
[36] Becker, F. and Z.-L. Li, Temperature-independent spectral indices in thermal infrared bands. Remote Sensing of Environment, 1990. 32(1): p. 17-33.
[37] Prata, A., Land surface temperature measurement from space: AATSR algorithm theoretical basis document. Contract Report to ESA, CSIRO Atmospheric Research, Aspendale, Victoria, Australia, 2002. 2002: p. 1-34.
[38] Hu, H., F. Chen, and Q. Wang. Estimating the effective wavelength of the thermal band for accurate brightness temperature retrieval: methods and comparison. in Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on. 2011. IEEE.
[39] Jiménez‐Muñoz, J.C. and J.A. Sobrino, A generalized single‐channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research: Atmospheres (1984–2012), 2003. 108(D22).
[40] Irons, J.R., J.L. Dwyer, and J.A. Barsi, The next Landsat satellite: The Landsat data continuity mission. Remote Sensing of Environment, 2012. 122: p. 11-21.
[41] Coll, C., et al., Validation of Landsat-7/ETM+ thermal-band calibration and atmospheric correction with ground-based measurements. Geoscience and Remote Sensing, IEEE Transactions on, 2010. 48(1): p. 547-555.
[42] Salisbury, J.W., A. Wald, and D.M. D'Aria, Thermal‐infrared remote sensing and Kirchhoff's law: 1. Laboratory measurements. Journal of Geophysical Research: Solid Earth (1978–2012), 1994. 99(B6): p. 11897-11911.
[43] Korb, A.R., et al., Portable Fourier transform infrared spectroradiometer for field measurements of radiance and emissivity. Applied Optics, 1996. 35(10): p. 1679-1692.
[44] Quan, W., et al., A modified Becker’s split-window approach for retrieving land surface temperature from AVHRR and VIRR. Acta Meteorologica Sinica, 2012. 26: p. 229-240.
[45] Baldridge, A., et al., The ASTER spectral library version 2.0. Remote Sensing of Environment, 2009. 113(4): p. 711-715.
[46] Caselles, E., et al., Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe. Remote Sensing of Environment, 2012. 124: p. 321-333.
[47] Sobrino, J.A., J.C. Jiménez-Muñoz, and L. Paolini, Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of environment, 2004. 90(4): p. 434-440.
[48] Bhowmick, D., N.A. Hamm, and E.J. Milton, Use of an Airborne Imaging Spectrometer as a Transfer Standard for Atmospheric Correction of SPOT-HRG Data. Spatial data quality: from process to decisions, 2009.
[49] Coll, C., et al., Ground measurements for the validation of land surface temperatures derived from AATSR and MODIS data. Remote Sensing of Environment, 2005. 97(3): p. 288-300.
[50] Zakšek, K., K. Oštir, and Ž. Kokalj, Sky-view factor as a relief visualization technique. Remote Sensing, 2011. 3(2): p. 398-415.
[51] Baret, F., G. Guyot, and D. Major. TSAVI: a vegetation index which minimizes soil brightness effects on LAI and APAR estimation. in Geoscience and Remote Sensing Symposium, 1989. IGARSS'89. 12th Canadian Symposium on Remote Sensing., 1989 International. 1989. IEEE.
[52] Panda, S.S., D.P. Ames, and S. Panigrahi, Application of vegetation indices for agricultural crop yield prediction using neural network techniques. Remote Sensing, 2010. 2(3): p. 673-696.
[53] Qi, J., et al., A modified soil adjusted vegetation index. Remote sensing of environment, 1994. 48(2): p. 119-126.
[54] Feizizadeh, B. and T. Blaschke. Thermal remote sensing for land surface temperature monitoring: Maraqeh County, Iran. in Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. 2012. IEEE.
[55] Choudhury, B.J., et al., Relations between evaporation coefficients and vegetation indices studied by model simulations. Remote sensing of environment, 1994. 50(1): p. 1-17.
[56] Wang, K. and S. Liang, Evaluation of ASTER and MODIS land surface temperature and emissivity products using long-term surface longwave radiation observations at SURFRAD sites. Remote Sensing of Environment, 2009. 113(7): p. 1556-1565.
[57] Valor, E. and V. Caselles, Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Remote sensing of Environment, 1996. 57(3): p. 167-184.
[58] Jiménez-Muñoz, J.C., et al., Improved land surface emissivities over agricultural areas using ASTER NDVI. Remote Sensing of Environment, 2006. 103(4): p. 474-487.
[59] Momeni, M. and M. Saradjian, Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by Day/Night LST algorithm. Remote Sensing of Environment, 2007. 106(2): p. 190-198.
[60] Oltra-Carrió, R., et al., Land surface emissivity retrieval from airborne sensor over urban areas. Remote Sensing of Environment, 2012. 123: p. 298-305.
[61] Walawender, J.P., M.J. Hajto, and P. Iwaniuk. A new ArcGIS toolset for automated mapping of land surface temperature with the use of LANDSAT satellite data. in Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. 2012. IEEE.
[62] Cristóbal, J., et al., Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature. Journal of Geophysical Research: Atmospheres (1984–2012), 2009. 114(D8).
[63] Jiménez-Muñoz, J., et al. Fractional vegetation cover estimation from PROBA/CHRIS data: Methods, analysis of angular effects and application to the land surface emissivity retrieval. in Proc. 3rd Workshop CHRIS/Proba. 2005.
[64] Li, Z.-L., et al., Land surface emissivity retrieval from satellite data. International Journal of Remote Sensing, 2013. 34(9-10): p. 3084-3127.
[65] Peres, L.F. and C.C. DaCamara, Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI. Geoscience and Remote Sensing, IEEE Transactions on, 2005. 43(8): p. 1834-1844.
[66] Gao, Y. and W. Zhang, LULC classification and topographic correction of Landsat-7 ETM+ imagery in the Yangjia River Watershed: the influence of DEM resolution. Sensors, 2009. 9(3): p. 1980-1995.
[67] Blaschke, T., Object based image analysis for remote sensing. ISPRS journal of photogrammetry and remote sensing, 2010. 65(1): p. 2-16.
[68] Martínez, L., et al. Improvement of the thermal emissivity calculated with the vegetation cover method by using optical atmospherically corrected images. in Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International. 2007. IEEE.
[69] Tang, H. and Z.-L. Li, Future Development and Perspectives, in Quantitative Remote Sensing in Thermal Infrared. 2014, Springer. p. 257-279.
[70] Yu, X., X. Guo, and Z. Wu, Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method. Remote Sensing, 2014. 6(10): p. 9829-9852.
[71] Weng, Q. and P. Fu, Modeling annual parameters of clear-sky land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data. Remote Sensing of Environment, 2014. 140: p. 267-278.
[72] Weng, Q., P. Fu, and F. Gao, Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. Remote Sensing of Environment, 2014. 145: p. 55-67.
[73] Roy, D.P., et al., Landsat-8: Science and product vision for terrestrial global change research. RS of Environment, 2014. 145: p. 154-172.
[74] Cook, M., et al., Development of an operational calibration methodology for the Landsat thermal data archive and initial testing of the atmospheric compensation component of a Land Surface Temperature (LST) Product from the archive. Remote Sensing, 2014. 6(11): p. 11244-11266.
[75] Markham, B.L., et al., Landsat sensor performance: history and current status. IEEE Transactions on Geoscience and Remote Sensing,, 2004. 42(12): p. 2691-2694.
[76] Huang, C., et al., An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment, 2010. 114(1): p. 183-198.
[77] Jiménez-Muñoz, J.C., et al., Revision of the single-channel algorithm for land surface temperature retrieval from Landsat thermal-infrared data. IEEE Transactions on Geoscience and Remote Sensing, , 2009. 47(1): p. 339-349.
[78] Qin, Z.-h., A. Karnieli, and P. Berliner, A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 2001. 22(18): p. 3719-3746.
[79] Jimenez-Munoz, J.C., et al., Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data. Geoscience and Remote Sensing Letters, IEEE, 2014. 11(10): p. 1840-1843.
[80] Du, C., et al., A practical split-window algorithm for estimating land surface temperature from Landsat 8 data. Remote Sensing, 2015. 7(1): p. 647-665.
[81] Barsi, J.A., et al. Validation of a web-based atmospheric correction tool for single thermal band instruments. in Optics & Photonics 2005. 2005. International Society for Optics and Photonics.
[82] Barsi, J., J.L. Barker, and J.R. Schott. An atmospheric correction parameter calculator for a single thermal band earth-sensing instrument. in IEEE International Geoscience and Remote Sensing Symposium, 2003. IGARSS'03. Proceedings. 2003. IEEE.
[83] Coll, C., et al., Validation of Landsat-7/ETM+ thermal-band calibration and atmospheric correction with ground-based measurements. IEEE Transactions on Geoscience and Remote Sensing, , 2010. 48(1): p. 547-555.
[84] Tang, B.-H., et al., Estimation and validation of land surface temperatures from Chinese second-generation polar-orbit FY-3A VIRR data. Remote Sensing, 2015. 7(3): p. 3250-3273.
[85] Jiménez-Muñoz, J.C., et al., Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data. Geoscience and Remote Sensing Letters, IEEE, 2014. 99: p. 1-4.
[86] Barsi, J.A., et al., Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration. Remote Sensing, 2014. 6(11): p. 11607-11626.