Cited by 196Calibration and Measurement TechniquesRemote Sensing in AgricultureThermal Radiation and Cooling Technologies

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A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives

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Cao, Biao, Liu, Qinhuo, Du, Yongming, Roujean, Jean-Louis, Gastellu-Etchegorry, Jean-Philippe, Trigo, Isabel F., Zhan, Wenfeng, Yu, Yunyue, Cheng, Jie, Jacob, Frédéric, Lagouarde, Jean-Pierre, Bian, Zunjian, Li, Hua, Hu, Tian, Xiao, Qing·2019·Remote Sensing of Environment

DOI 10.1016/j.rse.2019.111304

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Abstract

The Earth surface thermal infrared (TIR) radiation shows conspicuously an anisotropic behavior just like the bi-directional reflectance of visible and near infrared spectral domains. The importance of thermal radiation directionality (TRD) is being more and more widely recognized in the applications because of the magnitude of the effects generated. The effects of TRD were originally evidenced through experiments in 1962, showing that two sensors simultaneously measuring temperature of the same scene may get significantly different values when the viewing geometry is different. Such effect limits inter-comparison of measurement datasets and land surface temperature (LST) products acquired at different view angles, while raising the question of measurement reliability when used to characterize land surface processes. These early experiments fostered the development of modeling approaches to quantify TRD with the aim of developing a correction for Earth surface TIR radiation. Initiatives for pushing the analysis of TIR data through modeling have been lasted since 1970s. They were initially aimed at mimicking the observed TIR radiance with consideration of canopy structure, component emissivities and temperatures, and Earth surface energy exchange processes. Presently, observing the Earth surface TRD effect is still a challenging task because the TIR status changes rapidly. Firstly, a brief theoretical background and the basic radiative transfer equation are presented. Then, this paper reviews the historical development and current status of observing TRD in the laboratory, in-situ, from airborne and space-borne platforms. Accordingly, the TRD model development, including radiative transfer models, geometric models, hybrid models, 3D models, and parametric models are reviewed for surfaces of water, ice and sea, snow, barren lands, vegetation and urban landscapes, respectively. Next, we introduce three potential applications, including normalizing the LST products, estimating the hemispheric upward longwave radiation using multi-angular TIR observations and separating surface component temperatures. Finally, we give hints and directions for future research work. The last section summarizes the study and stresses three main conclusions.

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Light Scattering by Small Particles
van de Hulst, H. C., & Twersky, V. (1957) · Physics Today · doi:10.1063/1.3060205 · Cited by 5,691
Light scattering by small particles
Snowdon, S. (1957) · Journal of the Franklin Institute · doi:10.1016/0016-0032(57)90988-2 · Cited by 3,763
Thermal remote sensing of urban climates
Voogt, J., & Oke, T. R. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00079-8 · Cited by 3,422
Measurement of the Roughness of the Sea Surface from Photographs of the Sun’s Glitter
Cox, C., & Munk, W. H. (1954) · Journal of the Optical Society of America · doi:10.1364/josa.44.000838 · Cited by 2,583
Satellite-derived land surface temperature: Current status and perspectives
Li, Z.-L., Tang, B., Wu, H. B., Ren, H., Yan, G., Wan, Z., Trigo, I. F., & Sobrino, J. A. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.008 · Cited by 2,296
Self-citation
Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model
Verhoef, W. (1984) · Remote Sensing of Environment · doi:10.1016/0034-4257(84)90057-9 · Cited by 2,032
Bidirectional reflectance spectroscopy: 1. Theory
Hapke, B. W. (1981) · Journal of Geophysical Research Atmospheres · doi:10.1029/jb086ib04p03039 · Cited by 1,941
Theory of Reflectance and Emittance Spectroscopy
Hapke, B. W. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9780511524998 · Cited by 1,859
A generalized split-window algorithm for retrieving land-surface temperature from space
Wan, Z., & Dozier, J. (1996) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.508406 · Cited by 1,840
Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature
Norman, J. M., Kustas, W. P., & Humes, K. S. (1995) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(95)02265-y · Cited by 1,786
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Gong, P., Wang, J., Yu, L., Zhao, Y., Zhao, Y., Lu, L., Niu, Z., Huang, X., Fu, H., Liu, S., et al. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.748992 · Cited by 1,707
The radiation regime and architecture of plant stands
Ross, J. (1981) · Springer eBooks · doi:10.1007/978-94-009-8647-3 · Cited by 1,699
A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images
Gillespie, A. R., Rokugawa, S., Matsunaga, T., Cothern, J. S., Hook, S. J., & Kahle, A. B. (1998) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.700995 · Cited by 1,464
A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models
Masson, V. (2000) · Boundary-Layer Meteorology · doi:10.1023/a:1002463829265 · Cited by 1,463
A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region
Qin, Z., Karnieli, A., & Berliner, P. R. (2001) · International Journal of Remote Sensing · doi:10.1080/01431160010006971 · Cited by 1,460
A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data
Roujean, J., Leroy, M., & Deschamps, P. (1992) · Journal of Geophysical Research Atmospheres · doi:10.1029/92jd01411 · Cited by 1,336
Self-citation
Bidirectional reflectance spectroscopy
Hapke, B. W. (1984) · Icarus · doi:10.1016/0019-1035(84)90054-x · Cited by 1,222
A theoretical analysis of the frequency of gaps in plant stands
Nilson, T. (1971) · Agricultural Meteorology · doi:10.1016/0002-1571(71)90092-6 · Cited by 961
Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing
Li, X., & Strahler, A. H. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.134078 · Cited by 920
A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data
Wan, Z., & Li, Z.-L. (1997) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.602541 · Cited by 910
Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design
Li, X., Cheng, G., Liu, S., Xiao, Q., Ma, M., Jin, R., Che, T., Liu, Q., Wang, W., Yuan, Q., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00154.1 · Cited by 858
Self-citation
Mapping land surface emissivity from NDVI: Application to European, African, and South American areas
Valor, E. (1996) · Remote Sensing of Environment · doi:10.1016/0034-4257(96)00039-9 · Cited by 831
An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance
van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., & Su, Z. (2009) · Biogeosciences · doi:10.5194/bg-6-3109-2009 · Cited by 735
The International Urban Energy Balance Models Comparison Project: First Results from Phase 1
Grimmond, S., Blackett, M., Best, M. J., Barlow, J. F., Baik, J.-J., Belcher, S. E., Bohnenstengel, S. I., Calmet, I., Chen, F., Dandou, A., et al. (2010) · Journal of Applied Meteorology and Climatology · doi:10.1175/2010jamc2354.1 · Cited by 565
A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales
Anderson, M. C., Norman, J., Kustas, W. P., Houborg, R., Starks, P. J., & Agam, N. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.07.009 · Cited by 556
Estimating air surface temperature in Portugal using MODIS LST data
Benali, A., Carvalho, A. C., Nunes, J. P., Carvalhais, N., & Santos, A. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.04.024 · Cited by 534
Estimation of air temperature from remotely sensed surface observations
Prihodko, L., & Goward, S. N. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00216-7 · Cited by 528
Modeling radiative transfer in heterogeneous 3-D vegetation canopies
Gastellu‐Etchegorry, J. (1996) · Remote Sensing of Environment · doi:10.1016/0034-4257(95)00253-7 · Cited by 520
Self-citation
Advances in thermal infrared remote sensing for land surface modeling
Kustas, W. P., & Anderson, M. C. (2009) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2009.05.016 · Cited by 501
Land surface emissivity retrieval from satellite data
Li, Z.-L., Wu, H. B., Wang, N., Qiu, S., Sobrino, J. A., Wan, Z., Tang, B., & Yan, G. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.716540 · Cited by 497
Geometrical shadowing of a random rough surface
Smith, B. (1967) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.1967.1138991 · Cited by 492
Emissivity of pure and sea waters for the model sea surface in the infrared window regions
Masuda, K., Takashima, T., & Takayama, Y. (1988) · Remote Sensing of Environment · doi:10.1016/0034-4257(88)90032-6 · Cited by 470
Validation of Collection 6 MODIS land surface temperature product using in situ measurements
Duan, S.-B., Li, Z.-L., Li, H., Göttsche, F.-M., Wu, H., Zhao, W., Leng, P., Zhang, X., & Coll, C. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.02.020 · Cited by 442
Self-citation
Terminology in thermal infrared remote sensing of natural surfaces
Norman, J. M., & Becker, F. (1995) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(95)02259-z · Cited by 441
Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies
Verhoef, W., Li, J., Xiao, Q., & Su, Z. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.895844 · Cited by 433
Self-citation
Watershed Allied Telemetry Experimental Research
Li, X., Li, X., Li, Z., Ma, M., Wang, J., Xiao, Q., Liu, Q., Che, T., Chen, E., Yan, G., et al. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2008jd011590 · Cited by 397
Self-citation
BUBBLE – an Urban Boundary Layer Meteorology Project
Rotach, M. W., Vogt, R., Bernhofer, C., Batchvarova, E., Christen, A., Clappier, A., Feddersen, B., Gryning, S., Martucci, G., Mayer, H., et al. (2005) · Theoretical and Applied Climatology · doi:10.1007/s00704-004-0117-9 · Cited by 388
Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats
Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J., & Li, J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.014 · Cited by 371
Self-citation
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
Lee, C., Cable, M. L., Hook, S. J., Green, R. O., Ustin, S. L., Mandl, D., & Middleton, E. M. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.06.012 · Cited by 354
Geometric-Optical Bidirectional Reflectance Modeling of a Conifer Forest Canopy
Li, X., & Strahler, A. H. (1986) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.1986.289706 · Cited by 353
Quality Control and Interpolations of WOCE-TOGA Drifter Data
Hansen, D. V., & Poulain, P. (1996) · Journal of Atmospheric and Oceanic Technology · doi:10.1175/1520-0426(1996)013 · Cited by 350
DART: a 3D model for simulating satellite images and studying surface radiation budget
Gastellu‐Etchegorry, J., Martin, E., & Gascon, F. (2003) · International Journal of Remote Sensing · doi:10.1080/0143116031000115166 · Cited by 344
Self-citation
Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data
Sobrino, J. A., Li, Z.-L., Stoll, M. P., & BECKER, F. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948760 · Cited by 317
Effects of urban surface geometry on remotely-sensed surface temperature
Voogt, J., & Oke, T. R. (1998) · International Journal of Remote Sensing · doi:10.1080/014311698215784 · Cited by 308
A Historical Perspective of U.S. Climate Divisions
Guttman, N. B., & Quayle, R. G. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077 · Cited by 302
An assessment of remotely sensed land surface temperature
Trigo, I. F., Monteiro, I. T., Olesen, F. S., & Kabsch, E. (2008) · Journal of Geophysical Research Atmospheres · doi:10.1029/2008jd010035 · Cited by 295
Self-citation
Empirical Estimation of Urban Effects on Climate: A Problem Analysis
Lowry, W. P. (1977) · Journal of applied meteorology · doi:10.1175/1520-0450(1977)016 · Cited by 284
Evaluation of ASTER and MODIS land surface temperature and emissivity products using long-term surface longwave radiation observations at SURFRAD sites
Wang, K., & Liang, S. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.03.009 · Cited by 280
Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China
Li, H., Sun, D., Yu, Y., Wang, H., Liu, Y., Liu, Q., Du, Y., Wang, H., & Cao, B. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.11.014 · Cited by 258
Self-citation
A microscale three-dimensional urban energy balance model for studying surface temperatures
Krayenhoff, E. S., & Voogt, J. (2007) · Boundary-Layer Meteorology · doi:10.1007/s10546-006-9153-6 · Cited by 253
Effect of viewing angle on the infrared brightness temperature of snow
Dozier, J., & Warren, S. G. (1982) · Water Resources Research · doi:10.1029/wr018i005p01424 · Cited by 241
Estimation of surface long wave radiation and broadband emissivity using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature/emissivity products
Wang, K., Wan, Z., Wang, P., Sparrow, M., Liu, J., Zhou, X., & Haginoya, S. (2005) · Journal of Geophysical Research Atmospheres · doi:10.1029/2004jd005566 · Cited by 234
DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence
Gastellu‐Etchegorry, J., Lauret, N., Yin, T., Landier, L., Kallel, A., Malenovský, Z., Bitar, A. A., Aval, J., Hmida, S. B., Qi, J., et al. (2017) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2685528 · Cited by 234
Self-citation
Radiative temperature in the heat balance of natural surfaces
Monteith, J. L., & Szeicz, G. (1962) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49708837811 · Cited by 212
Estimating evaporation with thermal UAV data and two-source energy balance models
Hoffmann, H., Nieto, H., Jensen, R., Guzinski, R., Zarco‐Tejada, P. J., & Friborg, T. (2016) · Hydrology and earth system sciences · doi:10.5194/hess-20-697-2016 · Cited by 209
The Diurnal and Seasonal Cycles of Wind-Borne Dust over Africa North of the Equator
N’Tchayi, G. M., Bertrand, J. J., & Nicholson, S. E. (1997) · Journal of applied meteorology · doi:10.1175/1520-0450(1997)036 · Cited by 207
Emissivity of rough sea surface for 8–13 µm: modeling and verification
Wu, X., & Smith, W. L. (1997) · Applied Optics · doi:10.1364/ao.36.002609 · Cited by 205
The ESCOMPTE program: an overview
Cros, B., Durand, P., Cachier, H., Drobinski, P., Fréjafon, E., Kottmeier, C., Perros, P., Peuch, V., Ponche, J., Robin, D., et al. (2004) · Atmospheric Research · doi:10.1016/j.atmosres.2003.05.001 · Cited by 202
Roughness Lengths for Momentum and Heat Derived from Outdoor Urban Scale Models
Kanda, M., KANEGA, M., Kawai, T., MORIWAKI, R., & Sugawara, H. (2007) · Journal of Applied Meteorology and Climatology · doi:10.1175/jam2500.1 · Cited by 196
Thermal emission from particulate surfaces: A comparison of scattering models with measured spectra
Moersch, J. E., & Christensen, P. R. (1995) · Journal of Geophysical Research Atmospheres · doi:10.1029/94je03330 · Cited by 185
Air temperature retrieval from remote sensing data based on thermodynamics
Sun, Y.-J., Wang, J., ZHANG, R., Gillies, R. R., Xue, Y., & Bo, Y.-C. (2004) · Theoretical and Applied Climatology · doi:10.1007/s00704-004-0079-y · Cited by 182
Significance of the remotely sensed thermal infrared measurements obtained over a citrus orchard
Sobrino, J. A., Caselles, V., & Becker, F. (1990) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/0924-2716(90)90077-o · Cited by 180
Scaling Processes between Leaf and Canopy Levels
Norman, J. M. (1993) · Elsevier eBooks · doi:10.1016/b978-0-12-233440-5.50010-5 · Cited by 173
In-situ measured spectral directional emissivity of snow and ice in the 8–14 μm atmospheric window
Hori, M., Aoki, T., Tanikawa, T., Motoyoshi, H., Hachikubo, A., Sugiura, K., Yasunari, T. J., Eide, H. A., Storvold, R., Nakajima, Y., et al. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.11.001 · Cited by 173
Generation of a time-consistent land surface temperature product from MODIS data
Duan, S., Li, Z.-L., Tang, B., Wu, H. B., & Tang, R. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.09.003 · Cited by 172
Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data
Tang, B., & Li, Z.-L. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.04.004 · Cited by 168
Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments
Wen, J., Liu, Q., Xiao, Q., Liu, Q., You, D., Hao, D., Wu, S., & Lin, X. (2018) · Remote Sensing · doi:10.3390/rs10030370 · Cited by 167
Self-citation
Land surface temperature retrieval from MSG1-SEVIRI data
Sobrino, J. A., & Romaguera, M. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.06.009 · Cited by 165
Developing Algorithm for Operational GOES-R Land Surface Temperature Product
Yu, Y., Tarpley, D., Privette, J. L., Goldberg, M. D., Raja, M. K. R. V., Vinnikov, K. Y., & Xu, H. Z. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2006180 · Cited by 164
Self-citation
Analytical parameterization of canopy directional emissivity and directional radiance in the thermal infrared. Application on the retrieval of soil and foliage temperatures using two directional measurements
François, C., Ottlé, C., & Prévot, L. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697217495 · Cited by 163
BRDF models to predict spectral reflectance and emissivity in the thermal infrared
Snyder, W. C., & Wan, Z. (1998) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.655331 · Cited by 163
Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation
Cheng, J., Liang, S., Yao, Y., & Zhang, X. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2012.2206367 · Cited by 159
Self-citation
MODTRAN 5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options: update
Berk, A., Anderson, G. P., Acharya, P. K., Bernstein, L. S., Muratov, L. S., Lee, J., Fox, M. J., Adler-Golden, S. M., Chetwynd, J. H., Hoke, M. L., et al. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.606026 · Cited by 158
Estimating surface air temperatures, from Meteosat land surface temperatures, using an empirical solar zenith angle model
Cresswell, M. P., Morse, A. P., Thomson, M. C., & Connor, S. J. (1999) · International Journal of Remote Sensing · doi:10.1080/014311699212885 · Cited by 156
An experimental study of angular effects on surface temperature for various plant canopies and bare soils
Lagouarde, J., Kerr, Y. H., & Brunet, Y. (1995) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(95)02260-5 · Cited by 152
Self-citation
The Canopy and Aerosol Particles Interactions in TOulouse Urban Layer (CAPITOUL) experiment
Masson, V., Gomès, L., Pigeon, G., Liousse, C., Pont, V., Lagouarde, J.-P., Voogt, J., Salmond, J., Oke, T. R., Hidalgo, J., et al. (2008) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-008-0289-4 · Cited by 152
Self-citation
Angular variation of thermal infrared emissivity for some natural surfaces from experimental measurements
Sobrino, J. A., & Cuenca, J. (1999) · Applied Optics · doi:10.1364/ao.38.003931 · Cited by 151
Modelling daytime thermal infrared directional anisotropy over Toulouse city centre
Lagouarde, J.-P., Henon, A., Kurz, B., Moreau, P., Irvine, M., Voogt, J., & Mestayer, P. G. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.012 · Cited by 150
Self-citation
3-D Scene Modeling of Semidesert Vegetation Cover and its Radiation Regime
Qin, W., & Gerstl, S. A. W. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(00)00129-2 · Cited by 150
Parameterization of air temperature in high temporal and spatial resolution from a combination of the SEVIRI and MODIS instruments
Zakšek, K., & Schroedter‐Homscheidt, M. (2009) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2009.02.006 · Cited by 145
Validation of remotely sensed surface temperature over an oak woodland landscape — The problem of viewing and illumination geometries
Ermida, S. L., Trigo, I. F., DaCamara, C. C., Göttsche, F.-M., Olesen, F. S., & Hulley, G. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.03.016 · Cited by 145
Self-citation
The hot spot effect on a uniform vegetative cover
Kuusk, A. (1985) · Cited by 143
Application of photon recollision probability in coniferous canopy reflectance simulations
Rautiainen, M., & Stenberg, P. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.02.009 · Cited by 138
Terminology in thermal infrared remote sensing of natural surfaces
Norman, J. M., & Becker, F. (1995) · Remote Sensing Reviews · doi:10.1080/02757259509532284 · Cited by 136
Land Surface Temperature product validation using NOAA's surface climate observation networks—Scaling methodology for the Visible Infrared Imager Radiometer Suite (VIIRS)
Guillevic, P., Privette, J. L., Coudert, B., Palecki, M. A., Demarty, J., Ottlé, C., & Augustine, J. A. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.05.004 · Cited by 135
Simulation of leaf transpiration and sap flow in virtual plants: model description and application to a coffee plantation in Costa Rica
Dauzat, J., Rapidel, B., & Berger, A. (2001) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(01)00236-2 · Cited by 133
Surface emissivity and temperature retrieval for a hyperspectral sensor
Borel, C. C. (1998) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.1998.702966 · Cited by 131
Modeling the gap probability of a discontinuous vegetation canopy
Li, X., & Strahler, A. H. (1988) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.3017 · Cited by 127
A conceptual model for effective directional emissivity from nonisothermal surfaces
Li, X., Strahler, A. H., & Friedl, M. A. (1999) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.789646 · Cited by 127
Plant canopy information extraction from composite scene reflectance of row crops
Jackson, R. D., Reginato, R. J., Pinter, P. J., & Idso, S. B. (1979) · Applied Optics · doi:10.1364/ao.18.003775 · Cited by 121
Directional radiometric measurements of row-crop temperatures
KIMES, D. S., & Kirchner, J. A. (1983) · International Journal of Remote Sensing · doi:10.1080/01431168308948548 · Cited by 121
A Stepwise Refining Algorithm of Temperature and Emissivity Separation for Hyperspectral Thermal Infrared Data
Cheng, J., Liang, S., Wang, J. J., & Li, X. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2029852 · Cited by 121
Self-citation
Remote sensing of row crop structure and component temperatures using directional radiometric temperatures and inversion techniques
KIMES, D. S. (1983) · Remote Sensing of Environment · doi:10.1016/0034-4257(83)90026-3 · Cited by 118
Angular anisotropy of satellite observations of land surface temperature
Vinnikov, K. Y., Yu, Y., Goldberg, M. D., Tarpley, D., Romanov, P., László, I., & Chen, M. (2012) · Geophysical Research Letters · doi:10.1029/2012gl054059 · Cited by 117
Self-citation
Asymmetry parameters of the phase function for isolated and densely packed spherical particles with multiple internal inclusions in the geometric optics limit
Mishchenko, M. I., & Macke, A. (1997) · Journal of Quantitative Spectroscopy and Radiative Transfer · doi:10.1016/s0022-4073(97)00012-5 · Cited by 117
Urban energy exchanges monitoring from space
Chrysoulakis, N., Grimmond, S., Feigenwinter, C., Lindberg, F., Gastellu‐Etchegorry, J., Marconcini, M., Mitraka, Z., Stagakis, S., Crawford, B., Olofson, F., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29873-x · Cited by 115
Self-citation
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Caselles, V., & Sobrino, J. A. (1989) · Remote Sensing of Environment · doi:10.1016/0034-4257(89)90022-9 · Cited by 115
Airborne experimental measurements of the angular variations in surface temperature over urban areas: case study of Marseille (France)
Lagouarde, J., Moreau, P., Irvine, M., Bonnefond, J.-M., Voogt, J., & Solliec, F. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.12.011 · Cited by 112
Self-citation
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Pinheiro, A. C., Privette, J. L., Mahoney, R. L., & Tucker, C. J. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.831886 · Cited by 112
Directional anisotropy in thermal infrared measurements over Toulouse city centre during the CAPITOUL measurement campaigns: first results
Lagouarde, J.-P., & Irvine, M. (2008) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-008-0325-4 · Cited by 110
Self-citation
Thermal Infrared (3–14 μm) bidirectional reflectance measurements of sands and soils
Snyder, W. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00166-6 · Cited by 110
Measurements of thermal infrared spectral reflectance of frost, snow, and ice
Salisbury, J. W., D'Aria, D. M., & Wald, A. E. (1994) · Journal of Geophysical Research Atmospheres · doi:10.1029/94jb00579 · Cited by 107
Three-dimensional thermal characterization of forest canopies using UAV photogrammetry
Webster, C. S., Westoby, M., Rutter, N. J., & Jonas, T. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.09.033 · Cited by 106
Canopy directional emissivity: Comparison between models
Sobrino, J. A., Jimenez-Munoz, J. C., & Verhoef, W. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.09.005 · Cited by 105
Global Land Surface Temperature From the Along‐Track Scanning Radiometers
Ghent, D. J., Corlett, G. K., Göttsche, F.-M., & Remedios, J. J. (2017) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd027161 · Cited by 104
A first satellite-based observational assessment of urban thermal anisotropy
Hu, L., Monaghan, A. J., Voogt, J., & Barlage, M. J. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.03.043 · Cited by 103
An Anisotropic Flat Index (AFX) to derive BRDF archetypes from MODIS
Jiao, Z., Hill, M. J., Schaaf, C., Zhang, H., Wang, Z., & Li, X. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.10.017 · Cited by 103
Directional Viewing Effects on Satellite Land Surface Temperature Products Over Sparse Vegetation Canopies—A Multisensor Analysis
Guillevic, P., Bork-Unkelbach, A., Göttsche, F.-M., Hulley, G., Gastellu‐Etchegorry, J., Olesen, F. S., & Privette, J. L. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2260319 · Cited by 101
Self-citation
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Lagouarde, J.-P., Bhattacharya, B. K., Crebassol, P., Gamet, P., Babu, S. S., Boulet, G., Briottet, X., Buddhiraju, K. M., Cherchali, S., Dadou, I., et al. (2018) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2018.8518720 · Cited by 99
Self-citation
Thermal Remote Sensing of Near Surface Environmental Variables: Application Over the Oklahoma Mesonet
Czajkowski, K., Goward, S. N., Stadler, S. J., & Walz, A. (2000) · The Professional Geographer · doi:10.1111/0033-0124.00230 · Cited by 96
Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain
Yan, G., Wang, T., Jiao, Z., Mu, X., Zhao, J., & Chen, L. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.10.026 · Cited by 96
Angular variation of land surface spectral emissivity in the thermal infrared: laboratory investigations on bare soils
Labed, J., & Stoll, M. P. (1991) · International Journal of Remote Sensing · doi:10.1080/01431169108955259 · Cited by 95
3D modeling of satellite spectral images, radiation budget and energy budget of urban landscapes
Gastellu‐Etchegorry, J. (2008) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-008-0344-1 · Cited by 94
Self-citation
Estimation of land surface window (8–12 μm) emissivity from multi‐spectral thermal infrared remote sensing — A case study in a part of Sahara Desert
Ogawa, K., Schmugge, T. J., Jacob, F., & French, A. N. (2003) · Geophysical Research Letters · doi:10.1029/2002gl016354 · Cited by 93
Self-citation
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François, C. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00293-0 · Cited by 93
Modeling the effective emissivity of the urban canopy using sky view factor
Yang, J., Wong, M. S., Menenti, M., & Nichol, J. E. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.04.006 · Cited by 92
Photon recollision probability in modelling the radiation regime of canopies — A review
Stenberg, P., Mõttus, M., & Rautiainen, M. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.05.013 · Cited by 92
A water vapor scaling model for improved land surface temperature and emissivity separation of MODIS thermal infrared data
Malakar, N. K., & Hulley, G. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.04.023 · Cited by 92
Thermal infrared radiative transfer within three‐dimensional vegetation covers
Guillevic, P., Gastellu‐Etchegorry, J., Demarty, J., & Prévot, L. (2003) · Journal of Geophysical Research Atmospheres · doi:10.1029/2002jd002247 · Cited by 91
Self-citation
Angular effect of MODIS emissivity products and its application to the split-window algorithm
Ren, H., Yan, G., Chen, L., & Li, Z.-L. (2011) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2011.02.008 · Cited by 90
Experimental Study of Brightness Surface Temperature Angular Variations of Maritime Pine (Pinus pinaster) Stands
Lagouarde, J., Ballans, H., Moreau, P., Guyon, D., & Coraboeuf, D. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00085-1 · Cited by 86
Self-citation
Modelling directional effects on remotely sensed land surface temperature
Ermida, S. L., DaCamara, C. C., Trigo, I. F., Pires, A. C., Ghent, D. J., & Remedios, J. J. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.12.008 · Cited by 86
Self-citation
Thermal infrared directional emissivity of powdered quartz
Wald, A. E., & Salisbury, J. W. (1995) · Journal of Geophysical Research Atmospheres · doi:10.1029/95jb02400 · Cited by 85
High Spatio- Temporal Resolution Land Surface Temperature Mission - a Copernicus Candidate Mission in Support of Agricultural Monitoring
Koetz, B., Bastiaanssen, W. G. M., Berger, M., Defourney, P., Bello, U. D., Drusch, M., Drinkwater, M. R., Duca, R., Fernandez, V., Ghent, D. J., et al. (2018) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2018.8517433 · Cited by 84
Self-citation
A Model to Calculate what a Remote Sensor `Sees' of an Urban Surface
Soux, A., Voogt, J., & Oke, T. R. (2004) · Boundary-Layer Meteorology · doi:10.1023/b:boun.0000010995.62115.46 · Cited by 83
A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data
Li, J., Li, Z.-L., Menenti, M., Su, Z., Verhoef, W., & Wan, Z. (2003) · International Journal of Remote Sensing · doi:10.1080/0143116031000101576 · Cited by 82
Modeling the observed angular anisotropy of land surface temperature in a Savanna
Pinheiro, A. C., Privette, J. L., & Guillevic, P. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.863827 · Cited by 81
Thermal infrared radiance model for interpreting the directional radiometric temperature of a vegetative surface
Sobrino, J. A., & Caselles, V. (1990) · Remote Sensing of Environment · doi:10.1016/0034-4257(90)90030-p · Cited by 80
A two parameter model to simulate thermal infrared directional effects for remote sensing applications
Duffour, C., Lagouarde, J., & Roujean, J. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.08.012 · Cited by 80
Self-citation
View angle effects in the radiometric measurement of plant canopy temperatures
KIMES, D. S., Idso, S. B., Pinter, P. J., Reginato, R. J., & Jackson, R. D. (1980) · Remote Sensing of Environment · doi:10.1016/0034-4257(80)90087-5 · Cited by 79
Minimum configuration of thermal infrared bands for land surface temperature and emissivity estimation in the context of potential future missions
Sobrino, J. A., & Jimenez-Munoz, J. C. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.03.027 · Cited by 79
On the separate retrieval of soil and vegetation temperatures from ATSR data
Li, Z.-L., Stoll, M. P., Renhua, Z., Li, J., & Su, Z. (2001) · Science China Earth Sciences · doi:10.1007/bf02879653 · Cited by 77
Visualisation of urban surface temperatures derived from satellite images
Nichol, J. E. (1998) · International Journal of Remote Sensing · doi:10.1080/014311698215153 · Cited by 77
Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky
Hong, F., Zhan, W., Göttsche, F.-M., Liu, Z., Zhou, J. P., Huang, F., Lai, J., & Li, M. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.06.008 · Cited by 77
Self-citation
Accuracy assessment of land surface temperature retrievals from MSG2-SEVIRI data
Niclos, R. R., Galve, J. M., Valiente, J. A., Estrela, M. J., & Coll, C. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.04.017 · Cited by 75
Quality Assessment of S-NPP VIIRS Land Surface Temperature Product
Liu, Y., Yu, Y., Yu, P., Göttsche, F.-M., & Trigo, I. F. (2015) · Remote Sensing · doi:10.3390/rs70912215 · Cited by 74
Self-citation
Experimental measurements for studying angular and spectral variation of thermal infrared emissivity
Cuenca, J., & Sobrino, J. A. (2004) · Applied Optics · doi:10.1364/ao.43.004598 · Cited by 73
Experimental characterization and modelling of the nighttime directional anisotropy of thermal infrared measurements over an urban area: Case study of Toulouse (France)
Lagouarde, J.-P., Henon, A., Irvine, M., Voogt, J., Pigeon, G., Moreau, P., Masson, V., & Mestayer, P. G. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.06.022 · Cited by 73
Self-citation
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Wang, W., Liang, S., & Augustine, J. A. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.2005206 · Cited by 72
Angular variation of the infrared emissivity of ice and water surfaces
Rees, G., & JAMES, S. P. (1992) · International Journal of Remote Sensing · doi:10.1080/01431169208904088 · Cited by 69
An Extended 3-D Radiosity–Graphics Combined Model for Studying Thermal-Emission Directionality of Crop Canopy
Liu, Q., Huang, H., Qin, W., Fu, K., & Li, X. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.902272 · Cited by 69
Self-citation
In situ angular measurements of thermal infrared sea surface emissivity—Validation of models
Niclos, R. R., Valor, E., Caselles, V., Coll, C., & Sánchez, J. M. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.09.002 · Cited by 68
Assessing the potential of parametric models to correct directional effects on local to global remotely sensed LST
Ermida, S. L., Trigo, I. F., DaCamara, C. C., & Roujean, J. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.02.066 · Cited by 68
Self-citation
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
Ma, X. L., Wan, Z., Moeller, C. C., Menzel, W. P., & Gumley, L. E. (2002) · Applied Optics · doi:10.1364/ao.41.000909 · Cited by 66
Assessment of an Urban Sensor View Model for thermal anisotropy
Voogt, J. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.05.013 · Cited by 66
Effects of vegetation canopy structure on remotely sensed canopy temperatures
KIMES, D. S. (1980) · Remote Sensing of Environment · doi:10.1016/0034-4257(80)90020-6 · Cited by 66
Effect of Viewing Angle on Canopy Temperature Measurements with Infrared Thermometers1
Fuchs, M., Kanemasu, E. T., Kerr, J. P., & Tanner, C. (1967) · Agronomy Journal · doi:10.2134/agronj1967.00021962005900050040x · Cited by 66
Directional Effects on Land Surface Temperature Estimation From Meteosat Second Generation for Savanna Landscapes
Rasmussen, M. O., Göttsche, F.-M., Olesen, F.-S., & Sandholt, I. (2011) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2011.2144604 · Cited by 65
Viscosity of liquid ferric sulfate solutions and application to the formation of gullies on Mars
Chevrier, V. F., Ulrich, R. K., & Altheide, T. S. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009je003376 · Cited by 64
Influence of soil moisture content on spectral reflectance of bare soils in the 0.4–14 μm domain
Lesaignoux, A., Fabre, S., & Briottet, X. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.743693 · Cited by 64
Angular Normalization of Land Surface Temperature and Emissivity Using Multiangular Middle and Thermal Infrared Data
Ren, H., Liu, R., Yan, G., Mu, X., Li, Z.-L., Nerry, F., & Liu, Q. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2285924 · Cited by 63
Self-citation
A Parametric Hot Spot Model for Optical Remote Sensing Applications
Roujean, J. (2000) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00080-2 · Cited by 61
Self-citation
Evaluation of 10 year AQUA/MODIS land surface temperature with SURFRAD observations
Li, S., Yu, Y., Sun, D., Tarpley, D., Zhan, X., & Chiu, L. S. (2014) · International Journal of Remote Sensing · doi:10.1080/01431161.2013.873149 · Cited by 61
Self-citation
Global Estimates for High-Spatial-Resolution Clear-Sky Land Surface Upwelling Longwave Radiation From MODIS Data
Cheng, J., & Liang, S. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2537650 · Cited by 61
Self-citation
The MISTIGRI thermal infrared project: scientific objectives and mission specifications
Lagouarde, J., Bach, M., Sobrino, J. A., Boulet, G., Briottet, X., Cherchali, S., Coudert, B., Dadou, I., Dedieu, G., Gamet, P., et al. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.716921 · Cited by 60
Self-citation
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Wald, A. E. (1994) · Journal of Geophysical Research Atmospheres · doi:10.1029/94jb01560 · Cited by 60
Infrared sea surface emissivity including multiple reflection effect for isotropic Gaussian slope distribution model
Masuda, K. (2006) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.04.011 · Cited by 60
A New Directional Canopy Emissivity Model Based on Spectral Invariants
Cao, B., Guo, M., Fan, W., Xu, X., Peng, J., Ren, H., Du, Y., Li, H., Bian, Z., Hu, T., et al. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2845678 · Cited by 58
Self-citation
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García‐Santos, V., Valor, E., Caselles, V., Burgos, M. A., & Coll, C. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jd017931 · Cited by 57
The polarized emissivity of a wind-roughened sea surface: A Monte Carlo model
Henderson, B. G., Theiler, J. P., & Villeneuve, P. V. (2003) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.09.003 · Cited by 56
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Yang, J., Wong, M. S., Menenti, M., Nichol, J. E., Voogt, J., Krayenhoff, E. S., & Chan, P. W. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2016.09.007 · Cited by 56
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Yu, T., Gu, X., Tian, G., Legrand, M., Baret, F., Hanocq, J. F., Bosseno, R., & Zhang, Y. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.834196 · Cited by 55
A geometric model to simulate thermal anisotropy over a sparse urban surface (GUTA-sparse)
Wang, D., Chen, Y., & Zhan, W. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.02.051 · Cited by 54
Self-citation
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Zhang, R., Rong, Y., Tian, J., Su, H., Li, Z.-L., & Liu, S. (2015) · Remote Sensing · doi:10.3390/rs70506005 · Cited by 53
Estimation of soil and vegetation temperatures with multiangular thermal infrared observations: IMGRASS, HEIFE, and SGP 1997 experiments
Menenti, M., Li, J., Li, Z.-L., Djepa, V., Wang, J., Stoll, M. P., Su, Z., & Rast, M. (2001) · Journal of Geophysical Research Atmospheres · doi:10.1029/2000jd900671 · Cited by 53
A reprocessing for climate of sea surface temperature from the along-track scanning radiometers: Basis in radiative transfer
Embury, O., Merchant, C. J., & Filipiak, M. J. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.10.016 · Cited by 53
An analytical four-component directional brightness temperature model for crop and forest canopies
Bian, Z., Cao, B., Li, H., Du, Y., Lagouarde, J., Xiao, Q., & Liu, Q. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.03.010 · Cited by 53
Self-citation
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Chehbouni, A., Nouvellon, Y., Kerr, Y. H., Moran, M. S., Watts, C., Prévot, L., Goodrich, D. C., & Rambal, S. (2001) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00183-3 · Cited by 52
Angular variations of brightness surface temperatures derived from dual-view measurements of the Advanced Along-Track Scanning Radiometer using a new single band atmospheric correction method
Coll, C., Galve, J. M., Niclos, R. R., Valor, E., & Barberà, M. J. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.01.021 · Cited by 52
Experimental system for the study of the directional thermal emission of natural surfaces
Li, Z.-L., Zhang, R., Sun, X., Su, H., Tang, X., Zhu, Z., & Sobrino, J. A. (2003) · International Journal of Remote Sensing · doi:10.1080/0143116031000116453 · Cited by 51
Impact of sensor footprint on measurement of directional brightness temperature of row crop canopies
Ren, H., Yan, G., Liu, R., Nerry, F., Li, Z.-L., & Hu, R. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.02.025 · Cited by 51
A hybrid method combining neighborhood information from satellite data with modeled diurnal temperature cycles over consecutive days
Quan, J., Chen, Y., Zhan, W., Wang, J., Voogt, J., & Li, J. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.08.034 · Cited by 51
Self-citation
Synthesis of canopy processes
Norman, J. M. (1989) · Cambridge University Press eBooks · doi:10.1017/cbo9780511752308.010 · Cited by 49
An evaluation of SCOPE: A tool to simulate the directional anisotropy of satellite-measured surface temperatures
Duffour, C., Olioso, A., Demarty, J., van der Tol, C., & Lagouarde, J.-P. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.10.019 · Cited by 49
Self-citation
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Cheng, J., Liang, S., Weng, F., Wang, J., & Li, X. (2010) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2010.2050300 · Cited by 49
Self-citation
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Bailey, B. N., Stoll, R., Pardyjak, E. R., & Miller, N. E. (2015) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2015.11.021 · Cited by 49
Retrieval of Leaf, Sunlit Soil, and Shaded Soil Component Temperatures Using Airborne Thermal Infrared Multiangle Observations
Bian, Z., Xiao, Q., Cao, B., Du, Y., Li, H., Wang, H., Liu, Q., & Liu, Q. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2547961 · Cited by 49
Self-citation
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Morrison, W., Kotthaus, S., Grimmond, S., Inagaki, A., Yin, T., Gastellu‐Etchegorry, J., Kanda, M., & Merchant, C. J. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.05.004 · Cited by 49
Self-citation
Definition of component effective emissivity for heterogeneous and non-isothermal surfaces and its approximate calculation
Chen, L. F., Li, Z.-L., Liu, Q., Chen, S., Tang, Y., & Zhong, B. (2003) · International Journal of Remote Sensing · doi:10.1080/0143116031000116426 · Cited by 47
Self-citation
Angular variation of the bidirectional reflectance of bare soils in the thermal infrared band
Becker, F., Ramanantsizehena, P., & Stoll, M. P. (1985) · Applied Optics · doi:10.1364/ao.24.000365 · Cited by 47
Evaluation of the NCEP and MODIS Atmospheric Products for Single Channel Land Surface Temperature Retrieval With Ground Measurements: A Case Study of HJ-1B IRS Data
Li, H., Liu, Q., Du, Y., Jiang, J., & Wang, H. (2013) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2013.2255118 · Cited by 47
Self-citation
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Merlin, O., & Chehbouni, A. (2003) · International Journal of Remote Sensing · doi:10.1080/0143116031000116408 · Cited by 46
Application of modern radiative transfer tools to model laboratory quartz emissivity
Pitman, K. M., Wolff, M. J., & Clayton, G. C. (2005) · Journal of Geophysical Research Atmospheres · doi:10.1029/2005je002428 · Cited by 46
Directional Anisotropy of Brightness Surface Temperature Over Vineyards: Case Study Over the Medoc Region (SW France)
Lagouarde, J., Dayau, S., Moreau, P., & Guyon, D. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2282492 · Cited by 46
Self-citation
Satellite-derived Sea Surface Temperatures-A Comparison between Operational, Theoretical, and Experimental Algorithms
Barton, I. J. (1992) · Journal of applied meteorology · doi:10.1175/1520-0450(1992)031 · Cited by 45
Modeling Directional Brightness Temperature of the Winter Wheat Canopy at the Ear Stage
Du, Y., Liu, Q., Chen, L., Liu, Q., & Yu, T. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.903401 · Cited by 45
Self-citation
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Hori, M., Aoki, T., Tanikawa, T., Hachikubo, A., Sugiura, K., Kuchiki, K., & Niwano, M. (2013) · Applied Optics · doi:10.1364/ao.52.007243 · Cited by 44
Separating vegetation and soil temperature using airborne multiangular remote sensing image data
Liu, Q., Yan, C., Xiao, Q., Yan, G., & Fang, L. (2011) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2011.10.003 · Cited by 44
Self-citation
Estimation of Upward Longwave Radiation From Vegetated Surfaces Considering Thermal Directionality
Hu, T., Du, Y., Cao, B., Li, H., Bian, Z., Sun, D., & Liu, Q. (2016) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2016.2587695 · Cited by 44
Self-citation
Reassessment of the temperature-emissivity separation from multispectral thermal infrared data: Introducing the impact of vegetation canopy by simulating the cavity effect with the SAIL-Thermique model
Jacob, F., Lesaignoux, A., Olioso, A., Weiss, M., Caillault, K., Jacquemoud, S., Nerry, F., French, A. N., Schmugge, T. J., Briottet, X., et al. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.006 · Cited by 44
Self-citation
The effect of radiometer placement and view on inferred directional and hemispheric radiometric temperatures of an urban canopy
Adderley, C., Christen, A., & Voogt, J. (2015) · Atmospheric measurement techniques · doi:10.5194/amt-8-2699-2015 · Cited by 43
Performance evaluation of four directional emissivity analytical models with thermal SAIL model and airborne images
Ren, H., Liu, R., Yan, G., Li, Z.-L., Qin, Q., Liu, Q., & Nerry, F. (2015) · Optics Express · doi:10.1364/oe.23.00a346 · Cited by 43
Self-citation
Assessment of thermal anisotropy on remote estimation of urban thermal inertia
Zhan, W., Chen, Y., Voogt, J., Zhou, J. P., Wang, J., Ma, W., & Liu, W. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.03.001 · Cited by 42
Self-citation
Driving factors of the directional variability of thermal infrared signal in temperate regions
Duffour, C., Lagouarde, J., Olioso, A., Demarty, J., & Roujean, J. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.02.024 · Cited by 42
Self-citation
Estimation of surface upward longwave radiation from MODIS and VIIRS clear-sky data in the Tibetan Plateau
Jiao, Z., Yan, G., Zhao, J., Wang, T., & Chen, L. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.02.021 · Cited by 41
Estimating mountain glacier surface temperatures from Landsat-ETM + thermal infrared data: A case study of Qiyi glacier, China
Wu, Y., Wang, N., He, J., & Jiang, X. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.03.026 · Cited by 41
Retrieval of canopy component temperatures through Bayesian inversion of directional thermal measurements
Timmermans, J., Verhoef, W., van der Tol, C., & Su, Z. (2009) · Hydrology and earth system sciences · doi:10.5194/hess-13-1249-2009 · Cited by 41
Modeling Angular Dependences in Land Surface Temperatures From the SEVIRI Instrument Onboard the Geostationary Meteosat Second Generation Satellites
Rasmussen, M. O., Pinheiro, A. C., Proud, S., & Sandholt, I. (2010) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2044509 · Cited by 40
Thermal bidirectional gap probability model for row crop canopies and validation
Yan, G., Jiang, L., Wang, J., Chen, L., & Li, X. (2003) · Science China Earth Sciences · doi:10.1007/bf02883250 · Cited by 39
Modeling directional thermal radiance from a forest canopy
McGuire, M., Balick, L., Smith, J. A., & Hutchison, B. A. (1989) · Remote Sensing of Environment · doi:10.1016/0034-4257(89)90016-3 · Cited by 39

Research works printed but not linked: 2

Fan, 2005, Integrative inversion of land surface component temperature. Science in China Ser, D Earth Sciences, 48, 2011
Ma, W., 2009. A computer model for simulating the directional thermal radiance of urban targets (M.S. degree dissertation). Beijing Normal University, Beijing, China.

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See all 196

Authors: Cao, B., Liu, Q., Du, Y., Roujean, J.-L., Gastellu-Etchegorry, J.-P., Trigo, I. F., Zhan, W., Yu, Y., Cheng, J., Jacob, F., Lagouarde, J.-P., Bian, Z., Li, H., Hu, T., & Xiao, Q.
Affiliations: Chinese Academy of Sciences (CN)
Centre National de la Recherche Scientifique (FR)
Portuguese Sea and Atmosphere Institute (PT)
Nanjing University (CN)
National Oceanic and Atmospheric Administration (US)
Beijing Normal University (CN)
Université de Montpellier (FR)
Interaction Sol Plante Atmosphère (FR)
Griffith University (AU)
Corresponding author: Liu, Qinhuo
ORCID: Cao, Biao
Liu, Qinhuo
Du, Yongming
Roujean, Jean-Louis
Gastellu-Etchegorry, Jean-Philippe
Trigo, Isabel F.
Zhan, Wenfeng
Yu, Yunyue
Cheng, Jie
Jacob, Frédéric
Bian, Zunjian
Li, Hua
Hu, Tian
Xiao, Qing
Venue: Remote Sensing of Environment
Publisher: Elsevier BV
Published: 2019-10
Volume: 232
Pages: 111304
ISSN: 0034-4257 (ISSN-L)
DOI: 10.1016/j.rse.2019.111304
OpenAlex: W2963663407
Cited by: 196
References: 282
Citations by year: 2026: 18 · 2025: 43 · 2024: 40 · 2023: 26 · 2022: 12 · 2021: 31 · 2020: 17 · 2019: 8
FWCI: 12.50
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Remote Sensing of Environment (publishedVersion, cc-by)
HAL (submittedVersion, cc-by)
HAL (submittedVersion)
NOAA Institutional Repository (submittedVersion)
Griffith Research Online (submittedVersion, cc-by)
Funders: Chinese Academy of Sciences (XDA15012400)
Institute of Remote Sensing and Digital Earth (Y5SJ1300CX)
National Natural Science Foundation of China (41571359, 41671366, 41571357, 41501366, 41871258, 41571329)
National Key Research and Development Program of China (2018YFA0605503)
China Scholarship Council (201704910069, 2017VCA0034, 2019DC0020, 2017VCC0011)
Topics: Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
Physical Sciences › Engineering › Civil and Structural Engineering › Thermal Radiation and Cooling Technologies
Keywords: land surface temperature, radiative transfer modeling, thermal anisotropy, surface emissivity, snow and ice surfaces, vegetation surface, urban surfaces, barren land

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A review of earth surface thermal radiation directionality observing and modeling: Historical development, current status and perspectives

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