Separate retrievals of soil and vegetation temperatures using two methods

References

• Anderson, M. C., J. M. Norman, G. R. Diak, W. P. Kustas, and J. R. Mecikalski. 1997. “A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing.” Remote Sensing of Environment 60 (2): 195–216. https://doi.org/10.1016/S0034-4257(96)00215-5.
   Web of Science ®Google Scholar
• Bian, Z., B. Cao, H. Li, Y. Du, W. Fan, Q. Xiao, and Q. Liu. 2020. “The Effects of Tree Trunks on the Directional Emissivity and Brightness Temperatures of a Leaf-Off Forest Using a Geometric Optical Model.” IEEE Transactions on Geoscience and Remote Sensing 59 (6): 5370–5386. https://doi.org/10.1109/TGRS.2020.3011157.
   Web of Science ®Google Scholar
• Bian, Z., B. Cao, H. Li, Y. Du, J. P. Lagouarde, Q. Xiao, and Q. Liu. 2018. “An Analytical Four-Component Directional Brightness Temperature Model for Crop and Forest Canopies.” Remote Sensing of Environment 209:731–746. https://doi.org/10.1016/j.rse.2018.03.010.
   Web of Science ®Google Scholar
• Bian, Z., B. Cao, H. Li, Y. Du, L. Song, W. Fan, and Q. Liu. 2017. “A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index.” Remote Sensing 9 (8): 780. https://doi.org/10.3390/rs9080780.
   Web of Science ®Google Scholar
• Cao, B., Q. Liu, Y. Du, J. L. Roujean, J. P. Gastellu-Etchegorry, I. F. Trigo, and Q. Xiao. 2019. “A Review of Earth Surface Thermal Radiation Directionality Observing and Modeling: Historical Development, Current Status and Perspectives.” Remote Sensing of Environment 232:111304. https://doi.org/10.1016/j.rse.2019.111304.
   Web of Science ®Google Scholar
• Dozier, J. 1981. “A Method for Satellite Identification of Surface Temperature Fields of Subpixel Resolution.” Remote Sensing of Environment 11:221–229. https://doi.org/10.1016/0034-4257(81)90021-3.
   Web of Science ®Google Scholar
• Hu, Y., and Y. Gao. 1994. “Some New Understandings of Processes at the Land Surface in Arid Area from the HEIFE.” Acta Meteorologica Sinica 52 (3): 285–296.
   Google Scholar
• Jia, L., Z. L. Li, M. Menenti, Z. Su, W. Verhoef, and Z. Wan. 2003. “A Practical Algorithm to Infer Soil and Foliage Component Temperatures from Bi-Angular ATSR-2 Data.” International Journal of Remote Sensing 24 (23): 4739–4760. https://doi.org/10.1080/0143116031000101576.
   Web of Science ®Google Scholar
• Jiang, Y., R. Tang, X. Jiang, Z. L. Li, and C. Gao. 2019. “Estimation of Soil Evaporation and Vegetation Transpiration Using Two Trapezoidal Models from MODIS Data.” Journal of Geophysical Research: Atmospheres 124 (14): 7647–7664. https://doi.org/10.1029/2019JD030542.
   Web of Science ®Google Scholar
• Jiang, Y., R. Tang, and Z. L. Li. 2022. “A Framework of Correcting the Angular Effect of Land Surface Temperature on Evapotranspiration Estimation in Single-Source Energy Balance Models.” Remote Sensing of Environment 283:113306. https://doi.org/10.1016/j.rse.2022.113306.
   Web of Science ®Google Scholar
• Li, X., X. Li, Z. Li, M. Ma, J. Wang, Q. Xiao, and H. Ren. 2009. “Watershed Allied Telemetry Experimental Research.” Journal of Geophysical Research: Atmospheres 114 (D22). https://doi.org/10.1029/2008JD011590.
   Google Scholar
• Liu, S. M., X. Li, Z. W. Xu, T. Che, Q. Xiao, M. Ma, Q. Liu, et al. 2018. “The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China.” Vadose Zone Journal 17 (1): 1–21. https://doi.org/10.2136/vzj2018.04.0072.
   Web of Science ®Google Scholar
• Liu, X., B. H. Tang, Z. L. Li, C. Zhou, W. Wu, and M. O. Rasmussen. 2020. “An Improved Method for Separating Soil and Vegetation Component Temperatures Based on Diurnal Temperature Cycle Model and Spatial Correlation.” Remote Sensing of Environment 248:111979. https://doi.org/10.1016/j.rse.2020.111979.
   Web of Science ®Google Scholar
• Li, M., J. Zhou, Z. Peng, S. Liu, F. M. Göttsche, X. Zhang, and L. Song. 2019. “Component Radiative Temperatures Over Sparsely Vegetated Surfaces and Their Potential for Upscaling Land Surface Temperature.” Agricultural and Forest Meteorology 276:107600. https://doi.org/10.1016/j.agrformet.2019.05.031.
   Web of Science ®Google Scholar
• Long, D., and V. P. Singh. 2012. “A Two-Source Trapezoid Model for Evapotranspiration (TTME) from Satellite Imagery.” Remote Sensing of Environment 121:370–388. https://doi.org/10.1016/j.rse.2012.02.015.
   Web of Science ®Google Scholar
• Menenti, M., L. Jia, and Z. L. Li. 2008. “Multi-angular Thermal Infrared Observations of Terrestrial Vegetation.“ Advances in Land Remote Sensing, edited byS. Liang, 51–93. Dordrecht: Springer. https://doi.org/10.1007/978-1-4020-6450-0_4.
   Google Scholar
• Minnis, P., and M. M. Khaiyer. 2000. “Anisotropy of Land Surface Skin Temperature Derived from Satellite Data.” Journal of Applied Meteorology 39 (7): 1117–1129. https://doi.org/10.1175/1520-0450(2000)039<1117:AOLSST>2.0.CO;2.
   Google Scholar
• Moffat, A., W. Webber, and J. Zobel 2007. “Strategic System Comparisons via Targeted Relevance Judgments”. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, Amsterdam The Netherlands, 375–382.
   Google Scholar
• Peng, Z., R. Tang, Y. Jiang, M. Liu, and Z. L. Li. 2022. “Global Estimates of 500 M Daily Aerodynamic Roughness Length from MODIS Data.” ISPRS Journal of Photogrammetry and Remote Sensing 183:336–351. https://doi.org/10.1016/j.isprsjprs.2021.11.015.
   Web of Science ®Google Scholar
• Sobrino, J., and V. Caselles. 1991. “A Methodology for Obtaining the Crop Temperature from NOAA-9 AVHRR Data.” International Journal of Remote Sensing 12 (12): 2461–2475. https://doi.org/10.1080/01431169108955280.
   Web of Science ®Google Scholar
• Song, L., S. Liu, W. P. Kustas, J. Zhou, Z. Xu, T. Xia, and M. Li. 2016. “Application of Remote Sensing-Based Two-Source Energy Balance Model for Mapping Field Surface Fluxes with Composite and Component Surface Temperatures.” Agricultural and Forest Meteorology 230:8–19. https://doi.org/10.1016/j.agrformet.2016.01.005.
   Web of Science ®Google Scholar
• Sun, D., L. Fang, and Y. Yu. 2012. “GOES LST Algorithm Theoretical Basis Document”. College Park, MD, USA: NOAA NESDIS Center for Satellite Applications and Research.
   Google Scholar
• Tang, R., and Z. L. Li. 2017. “An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration from Remote Sensing Data.” IEEE Transactions on Geoscience and Remote Sensing 55 (10): 5818–5832. https://doi.org/10.1109/TGRS.2017.2715361.
   Web of Science ®Google Scholar
• Tasumi, M., R. G. Allen, and R. Trezza. 2008. “At-Surface Reflectance and Albedo from Satellite for Operational Calculation of Land Surface Energy Balance.” Journal of Hydrologic Engineering 13 (2): 51–63. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:2(51).
   Web of Science ®Google Scholar
• Timmermans, J., W. Verhoef, C. Van der Tol, and Z. Su. 2009. “Retrieval of Canopy Component Temperatures Through Bayesian Inversion of Directional Thermal Measurements.” Hydrology and Earth System Sciences 13 (7): 1249–1260. https://doi.org/10.5194/hess-13-1249-2009.
   Web of Science ®Google Scholar
• Williams, S. L. 2014. Separation of Mixed Radiometric Land Cover Temperatures in Time-Delayed Bi-Angular Views Using Estimated Fractional Differential Coefficients. New Mexico: New Mexico State University.
   Google Scholar
• Xie, F., H. Shao, Z. Liu, C. Liu, C. Zhang, G. Yang, and N. Cai. 2016. “Retrieval of the Pixel Component Temperatures from Multi-Band Thermal Infrared Image Using Bayesian Inversion Technique.“ SProc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing TechnologyPIE Asia-Pacific Remote Sensing, New Delhi, India, Vol. 9880, 535–547. Bellingham, Washington USA: SPIE.
   Google Scholar
• Yang, J., and L. Jia. 2014. “Retrieval of Soil and Vegetation Component Temperatures Based on Dual-Angular AATSR Remote Sensing Data.” Remote Sensing Technology and Application 29 (2): 247–257.
   Google Scholar
• Zhan, W., Y. Chen, J. Wang, J. Zhou, J. Quan, W. Liu, and J. Li. 2012. “Downscaling Land Surface Temperatures with Multi-Spectral and Multi-Resolution Images.” International Journal of Applied Earth Observation and Geoinformation 18:23–36. https://doi.org/10.1016/j.jag.2012.01.003.
   Web of Science ®Google Scholar
• Zhang, R. H., X. M. Sun, W. M. Wang, J. P. Xu, Z. L. Zhu, and J. Tian. 2005. “An Operational Two-Layer Remote Sensing Model to Estimate Surface Flux in Regional Scale: Physical Background.” Science in China Series D: Earth Sciences 48 (S1): 225–244.
   Google Scholar
• Zhang, R., J. Tian, H. Su, X. Sun, S. Chen, and J. Xia. 2008. “Two Improvements of an Operational Two-Layer Model for Terrestrial Surface Heat Flux Retrieval.” Sensors 8 (10): 6165–6187. https://doi.org/10.3390/s8106165.
   PubMed Web of Science ®Google Scholar
• Zhaoliang, L., M. P. Stoll, Z. Renhua, J. Li, and S. Zhongbo. 2001. “On the Separate Retrieval of Soil and Vegetation Temperatures from ATSR Data.” Science in China Series D: Earth Sciences 44 (2): 97–111. https://doi.org/10.1007/BF02879653.
   Google Scholar