Separating vegetation and soil temperature using airborne multiangular remote sensing image data

International Journal of Applied Earth Observation and Geoinformation

Volumn 17, Issue 1, 2012, Pages 66-75

  Liu, Qiang ^a,b   Yan, Chunyan ^c   Xiao, Qing ^a   Yan, Guangjian ^a,b   Fang, Li ^a  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

Component temperature; Multiangular remote sensing; WATER

Indexed keywords

ACCURACY ASSESSMENT; AIRBORNE SENSING; ALGORITHM; EVAPOTRANSPIRATION; IMAGE ANALYSIS; LAND SURFACE; SOIL TEMPERATURE; SURFACE TEMPERATURE; THERMAL INFRARED MULTISPECTRAL SCANNER; VEGETATION COVER;

EID: 84864523869     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2011.10.003     Document Type: Article

References (35)

1. Baret, F., Jacquemoud, S., Hanocq, J.F., 1993. About the soil line concept in remote sensing. Advances in Space Research 13 (5), 281-284.
2. Becker, F., Li., Z.L., 1990. Toward a local split window method over land surface. International Journal of Remote Sensing 11 (3), 369-393.
3. Fan, W.J., Xu, X.R., 2004. The correlation of multi-angle thermal infrared data and the choice of optimal view angles. Science in China Series D 47 (6), 570-576.
4. Fang, L., Liu, Q., Xiao, Q., Liu, Q.H., Liu, Z.G., 2009. Design and implementation of airborne wide-angle infrared dual-mode line/area array scanner in heihe experiment. Advances in Earth Science (Chinese Journal) 24 (7), 696-704.
5. Gillespie, A.R., 1992. Spectral mixture analysis of Multispectral thermal infrared images. Remote Sensing of Environment 42, 137-145.
6. Jia, L., Li, Z.L., Menenti, M., Su, Z., Verhoef, W., Wan, Z.M., 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.
7. Jia, L., 2004. Modeling heat exchanges at the land-atmosphere interface using Multiangular thermal infrared measurements. Wageningen University, ISBN 90-8504-041-8, p 199.
8. Kang, G.T., Yan, G.J., Ren, H.Z., et al., 2009. A comparison of different ground based radiative temperature measurement methods on the field patch scale. Advance in Earth Science (Chinese Journal) 24 (7), 784-792.
9. Kuusk, A., 1991. The hot spot effect in plant canopy reflectance. In: Myneni, R.B., Ross, J. (Eds.), Photon-Vegetation Interactions. Applications in Optical Remote Sensing and Plant Ecology. Springer-Verlag, Berlin, pp. 139-159.
10. Li, X.W., Strahler, A., Friedl, M., 1999a. A conceptual model for effective directional emissivity from non-isothermal surface. IEEE Transactions on Geoscience and Remote Sensing 37 (5), 2508-2517.
11. Li, X.W., Wang, J.D., 1999. The definition of effective emissivity of land surface at the scale of remote sensing pixels. Chinese Science Bulletin 44 (23), 2 154-2 158.
12. Li, X., Li, X.W., Li, Z.Y., et al., 2009. Watershed allied telemetry experimental research. Journal of Geophysical Research 114 (D22103), doi:10.1029/2008JD011590.
13. Li, X., Li, X.W., Roth, K., Menenti, M., Wagner, W., 2011. Preface observing and modeling the catchment scale water cycle. Hydrology and Earth System Sciences 15, 597-601, doi:10.5194/hess-15-597-2011.
14. Li, Z.L., Becker, F., 1993. Feasibility of land surface temperature and emissivity determination from AVHRR data. Remote Sensing of Environment 43, 67-85.
15. Li, Z.L., Becker, F., Stoll, M.P., et al., 1999b. Evaluation of six methods for extracting relative emissivity spectral from thermal infrared images. Remote Sensing of Environment 69, 197-214.
16. Li, Z.L., Stoll, M.P., Zhang, R.H., Jia, L., Su, Z.B., 2001. On the separate retrieval of soil and vegetation temperatures from ATSR data. Science in China Series D 44 (2), 97-111.
17. Liu, Q., 2002, Study on component temperature inversion algorithm and the scale structure for remote sensing pixel. Ph.D. Dissertation of Chinese Academy of Sciences (in Chinese), 111 pp.
18. Liu, Q., Xiao, Q., Liu, Z.G., Li, X., Ma, M.G., et al., 2008. WATER: dataset of airborne WiDAS mission in the Zhangye-Yingke-Huazhaizi flight zone on June 29, 2008, Institute of Remote Sensing Applications. Chinese Academy of Sciences; Beijing Normal University; Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, doi:10.3972/water973.0201.db.
19. Liu, Q., Xiao, Q., Liu, Z.G., Fang, L., Peng, J.J., Li, B., 2010. Image processing method of airborne WiDAS sensor in WATER campaign. Remote Sensing Technology and Application (Chinese Journal) 25 (6), 797-804.
20. Liu, Q.H., Gu, X.F., Li, X.W., 2000. Study on thermal infrared emission directionality over crop canopies with TIR camera imagery. Science in China Series E 43 (Supp.), 95-103.
21. Liu, Q.H., Liu, Q., Xin, X.Z., et al., 2001. Experimental study on directionality in thermal infrared observations of corn canopy. In: Proc. IGARSS'01, Sydney, Australia.
22. Ma, M.G., Liu, Q., Yan, G.J., et al., 2009. Simultaneous remote sensing and ground based experiment in the Heihe River Basin: experiment of forest hydrology and arid region hydrology in the middle reaches. Advance in Earth Science (Chinese Journal) 24 (7), 681-695.
23. McMillin, L.M., 1975. Estimation of sea surface temperature from two infrared window measurement with different absorption. Journal of Geophysical Research 80, 5113-5117.
24. Menenti, M., Jia, L., Li, Z.L., Djepa, V., Wang, J., Stoll, M.P., Su, Z.B., Rast, M., 2001. Estimation of soil and vegetation temperatures with multiangular thermal infrared observations: IMGRASS, HEIFE, and SGP 1997 experiments. Journal of Geophysical Research 106, 11,997-12,010, doi:10.1029/2000JD900671.
25. Menenti, M., Jia, L., Li, Z.L., 2008. Multiangular thermal infrared observations of terrestrial vegetation. Advances in Land Remote Sensing: System, Modeling, Inversion and Application, vol. 1. Springer Verlag, Chap, pp. 51-93.
26. Mu, X.H., Yan, G.J., Li, Z.L., 2008. Uncertainty and sensitivity ratio of parameters in estimating and promoting retrieval accuracy. International Journal of Remote Sensing 29 (17), 4891-4905.
27. Sobrino, J.A., Romaguera, M., S'oria, G., Zaragoza, et al., 2005. Thermal measurements in the framework of SPARC. In: Proceedings of the ESA WPP-250: SPARC final workshop, 4-5 July, p. 2005.
28. Timmermans, J., Verhoef, W., van der Tol, C., et al., 2009a. Retrieval of canopy component temperatures through Bayesian inversion of directional thermal measurements. Hydrology and Earth Systems Sciences 13 (7), 1249-1260.
29. Timmermans, J., Gieske, A.S.M., van der Tol, C., et al., 2009b. Automated directional measurement system for the acquisition of thermal radiative measurements of vegetative canopies. Sensors 9 (3), 1409-1422.
30. Verhoef, W., 1984. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment 16, 125-141.
31. Wan, Z.M., Dozier, J., 1996. A generalized split-window algorithm for retrieving land surface temperature from space. IEEE Transactions on Geoscience and Remote Sensing 34 (4), 892-905.
32. Wan, Z.M., Li, Z.L., 1997. A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data. IEEE Transactions on Geoscience and Remote Sensing 35 (4), 980-996.
33. Wang, J.D., Li, X.W., Sun, X.M., et al., 2000. Component temperatures inversion for remote sensing pixel based on directional thermal radiation model. Science in China Series E 43 (Suppl.), 41-47.
34. Wang, J.F., 2000. An airborne multi-angle TIR/VNIR imaging system. Remote Sensing Reviews 19 (1-4), 161-170.
35. Xu, X.R., Chen, L.F., Zhuang, J.L., 2001. Genetic inverse algorithm for retrieval of component temperature of mixed pixel by multi-angle thermal infrared remote sensing data. Science in China Series D 44 (4), 363-372.