Using the surface temperature-albedo space to separate regional soil and vegetation temperatures from ASTER data

Remote Sensing

Volumn 7, Issue 5, 2015, Pages 5828-5848

  Song, Lisheng ^a,b   Liu, Shaomin ^a   Kustas, William P ^b   Zhou, Ji ^c   Ma, Yanfei ^a,d  

^a BEIJING NORMAL UNIVERSITY   (China)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^d HANDAN COLLEGE   (China)

Author keywords

Advanced scanning thermal emission and reflection radiometer (ASTER); Land surface temperature and albedo space; SEB 1S; Soil and vegetation component temperatures; Validation

Indexed keywords

ATMOSPHERIC TEMPERATURE; INFRARED DEVICES; MEAN SQUARE ERROR; RADIOMETERS; REMOTE SENSING; SOILS; SOLAR RADIATION; SURFACE MEASUREMENT; SURFACE PROPERTIES; TRANSPIRATION; UPPER ATMOSPHERE; VEGETATION;

LAND SURFACE TEMPERATURE; SEB-1S; THERMAL EMISSIONS; VALIDATION; VEGETATION COMPONENTS;

SOIL SURVEYS;

EID: 84930030559     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70505828     Document Type: Article

References (48)

1. Wan, Z. New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products. Remote Sens. Environ. 2008, 112, 59-74.
2. Li, Z.; Tang, B.; Wu, H.; Ren, H.; Yan, G. Satellite-derived land surface temperature: Current status and perspectives. Remote Sens. Environ. 2013, 131, 14-37.
3. Crow, W.; Wood, E. The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using ensemble Kalman filtering: A case study based on ESTAR measurements during SGP97. Adv. Water Resour. 2003, 26, 137-149.
4. Anderson, M.; Allen, R.; Morse, A.; Kustas, W. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens. Environ. 2012, 122, 50-65.
5. Kustas, W.; Anderson, M. Advances in thermal infrared remote sensing for land surface modeling. Agric. For. Meteorol. 2012, 149, 2071-2081.
6. Hansen, J.; Ruedy, R.; Sato, M.; Lo, K. Global surface temperature change. Rev. Geophys. 2010, 48, RG4004.
7. Merlin, O.; Rudiger, C.; Al Bitar, A.; Richaume, P.; Walker, J.; Kerr, Y. Disaggregation of SMOS soil moisture in southeastern Australia. IEEE Trans. Geosci. Remote Sen. 2012, 50, 1556-1571.
8. Crow, W.; Kustas, W.; Prueger, J. Monitoring root-zone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model. Remote Sens. Environ. 2008, 112, 1268-1281.
9. Eckmann, T.; Roberts, D.; Still, C. Using multiple endmember spectral mixture analysis to retrieve subpixel fire properties from MODIS. Remote Sens. Environ. 2008, 112, 3773-3783.
10. Eckmann, T.; Roberts, D.; Still, C. Estimating subpixel fire sizes and temperatures from ASTER using multiple endmember spectral mixture analysis. Int. J. Remote Sens. 2009, 30, 5851-5864.
11. Jackson, R.; Idso, S.; Reginato, R.; Pinter, P. Canopy temperature as a crop water stress indicator. Adv. Water Resour. 1981,17,1133-1138.
12. Zhou, J.; Chen, Y.; Wang, J.; Zhan, W. Maximum nighttime urban heat island (UHI) intensity simulation by integrating remotely sensed data and meteorological observations. IEEE J-STARS 2011, 4, 138-146.
13. Holmes, T.R.H.; de Jeu, R.A.M.; Owe, M.; Dolman, A.J. Land surface temperature from Ka band (37 GHz) passive microwave observations. J. Geophys. Res. 2009, 114, D04113.
14. Zhou, J.; Dai, F.; Zhang, X.; Zhao, S.; Li, M. Developing a temporally land cover-based look-up table (TL-LUT) method for estimating land surface temperature based on AMSR-E data over the Chinese landmass. Int. J. Appl. Earth Obs. 2015, 34, 35-50.
15. Kimes. D. Remote sensing of temperature profiles in vegetation canopies using multiple view angles and inversion techniques. IEEE Trans. Geosci. Remote Sens. 1981, 19, 85-90.
16. Zhan, W.; Chen, Y.; Zhou, J.; Li, J. An algorithm for separating soil and vegetation temperatures with sensors featuring a single thermal channel. IEEE Trans. Geosci. Remote Sens. 2011, 49, 1796-1809.
17. Jia, L.; Li, Z.; Menenti, M.; Su, Z.; Verhoef, W.; Wan, Z. A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data. Int. J. Remote Sens. 2003, 24, 4739-4760.
18. Shi, Y. Thermal infrared inverse model for component temperatures of mixed pixels. Int. J. Remote Sens. 2011, 32, 2297-2309.
19. Liu, Q.; Yan, C.; Xiao, Q.; Yan, G.; Fang, L. Separating vegetation and soil temperature using airborne multiangular remote sensing image data. Int. J. Appl. Earth Obs. 2012, 17, 66-75.
20. Soux, A.; Voogt, J.; Oke, T. A model to calculate what a remote sensor "sees" of an urban surface. Bound Lay Meteorol. 2004, 111, 109-132.
21. Ren, H.; Liu, R.; Yan, G.; Mu, X.; Li, Z.; Liu, Q. Angular normalization of land surface temperature and emissivity using multiangular middle and thermal infrared data. IEEE Trans. Geosci. Remote Sens. 2014, 52, 4913-4931.
22. Jiang, L.; Islam, S. A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations. Geophys. Res. Lett. 1999, 26, 2773-2776.
23. Tang, R.; Li, Z.; Tang, B. An application of the Ts-VI triangle method with enhanced edges determination for evapotranspiration estimation from MODIS data in arid and semi-arid regions: Implementation and validation. Remote Sens. Environ. 2010, 114, 540-551.
24. Merlin, O.; Chirouze, J.; Olioso, A.; Jarlan, L.; Chehbouni, G.; Boulet, G. An image-based four-source surface energy balance model to estimate crop evapotranspiration from solar reflectance/thermal emission data (SEB-4S). Agric. For. Meteorol. 2014, 184, 188-203.
25. Merlin, O. An original interpretation of the wet edge of the surface temperature-albedo space to estimate crop evapotranspiration (SEB-1S), and its validation over an irrigated area in northwestern Mexico. Hydrol. Earth Syst. Sci. 2013,17, 3623-3637.
26. Merlin, O.; Jacob, F.; Wigneron, J.; Walker, J.; Chehbouni, G. Multidimensional disaggregation of land surface temperature using high-resolution red, near-infrared, shortwave-infrared, and microwave-L bands. IEEE Trans Geosci. Remote Sens. 2012, 50, 1864-1880.
27. Sandholt, I.; Rasmussen, K.; Andersen, J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sens. Environ. 2002, 79, 213-224.
28. Carlson, T. An overview of the "triangle method" for estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors 2007, 7, 1612-1629.
29. Yang, Y.; Shang, S. A hybrid dual-source scheme and trapezoid framework-based evapotranspiration model (HTEM) using satellite images: Algorithm and model test. J. Geophys. Res. Atmos. 2013, 118, 2284-2300.
30. Zhang, R.; Tian, J.; Su, H.; Sun, X.; Chen, S.; Xia, J. Two improvements of an operational two-layer model for terrestrial surface heat flux retrieval. Sensors 2008, 8, 6165-6187.
31. Long, D.; Singh, V. A Two-source trapezoid model for evapotranspiration (TTME) from satellite imagery. Remote Sens. Environ. 2012, 121, 370-388.
32. Li, X.; Cheng, G.; Liu, S.; Xiao, Q.; Ma, M.; Jin, R.; Che, T.; Liu, Q.; Wang, W.; Qi, Y.; et al. Heihe watershed allied telemetry experimental research (HiWATER): Scientific objectives and experimental design. Bull. Am. Meteorol. Soc. 2013, 94, 1145-1160.
33. Xu, Z.; Liu, S.; Li, X.; Shi, S.; Wang, J.; Zhu, Z.; Xu, T.; Wang, W.; Ma, M. Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE. J. Geophys. Res. 2013, 118, 13140-13157.
34. Li, H.; Sun, D.; Yu, Y.; Wang, H.; Liu, Y.; Liu, Q.; Du, Y.; Wang, H.; Cao, B. Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China. Remote Sens. Environ. 2013, 142, 111-121.
35. Song, L.; Liu, S.; Zhang, X.; Zhou, J.; Li, M. Estimating and validating soil evaporation and crop transpiration during the HiWATER-MUSOEXE. IEEE Geosci. Remote Sens. 2015, 12, 334-338.
36. Sánchez, J.; Kustas, W.; Caselles, V.; Anderson, M. Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations. Remote Sens. Environ. 2008, 112, 1130-1143.
37. Montandon, L.; Small, E. The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI. Remote Sens. Environ. 2008, 112, 1835-1845.
38. Jiang, Z.; Huete, A.; Chen, J.; Chen, Y.; Li, J.; Yan, G.; Zhang, X. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction. Remote Sens. Environ. 2006, 101, 366-378.
39. Gebremichael, M.; Barros, A. Evaluation of MODIS Gross Primary Productivity (GPP) in tropical monsoon regions. Remote Sens. Environ. 2006, 100, 150-166.
40. Zeng, X.; Dickinson, R.; Walker, A.; Shaikh, M.; DeFries, R.; Qi, J. Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling. J. Appl. Meteorol. Clim. 2000, 39, 826-839.
41. Jiménez-Muñoz, J.C.; Sobrinoa, J.A.; Gillespie, A.; Sabol, D.; Gustafson, W. Improved land surface emissivities over agricultural areas using ASTER NDVI. Remote Sens. Environ. 2006, 103, 474-487.
42. Sobrino, J.; Jiménez-Muñoz, J.; Paolini, L. Land surface temperature retrieval from LANDSAT TM 5. Remote Sens. Environ. 2004, 90, 434-440.
43. Zhou, J.; Li, M.; Liu, S.; Jia, Z.; Ma, Y. Validation and performance evaluations of methods for estimating land surface temperatures from ASTER Data in the middle reach of the Heihe River Basin, Northwest China. Remote Sens. 2015, under review.
44. Liang, S. Narrowband to broadband conversions of land surface albedo I: Algorithms. Remote Sens. Environ. 2001, 76, 213-238.
45. Stisen, S.; Sandholt, I.; Nørgaard, A.; Fensholt, R.; Jensen, K. Combining the triangle method with thermal inertia to estimate regional evapotranspiration-Applied to MSG-SEVIRI data in the Senegal River basin. Remote Sens. Environ. 2008, 112, 1242-1255.
46. Guillevic, P.; Biard, J.; Hulley, G.; Privette, J.; Hook, S.; Olioso, A.; Göttschee, F.; Radocinski, R.; Román, M.; Yu, Y.; et al. Validation of land surface temperature products derived from the visible infrared imaging radiometer suite (VIIRS) using ground-based and heritage satellite measurements. Remote Sens. Environ. 2014, 154, 19-37.
47. Duan, S.; Li, Z.; Wang, N.; Wu, H.; Tang, B. Evaluation of six land-surface diurnal temperature cycle models using clear-sky in situ and satellite data. Remote Sens. Environ. 2012, 124, 15-25.
48. Göttsche, F.; Olesen F. Modelling of diurnal cycles of brightness temperature extracted from METEOSAT data. Remote Sens. Environ. 2001, 76, 337-348.