35 4 2016 12 GLOBAL GEOLOGY Vol. 35 No. 4 Dec. 2016 1004 5589 2016 04 1151 07 130026 Landsat 5 TM Landsat 7 ETM + 12 12 1 2 TM ETM + P468. 023 A doi 10. 3969 /j. issn. 1004-5589. 2016. 04. 028 Surface temperature inversion based on time series taking Songjianghe region for example HAN Ting-ting XING Li-xin ZHANG Fu-kun LI Chang-wei College of Geo-exploration Science and Technology Jilin University Changchun 130026 China Abstract For the study of the degree of change in the temperature difference after the effect of factors such as the vegetation and surface conditions in the same region at different phases Landsat 5 TM and Landsat 7 ETM + thermal infrared data were taken as the data source and different surface true temperatures of 12 months in Songjianghe region were inversed based on radiative transfer equation method and the affecting factors of appearing steady temperature abnormal area were analyzed. While the mean and variance results of 12 months were calculated. The results show that 1 temperature anomaly region in the average temperature anomaly image shows a very similar trend with the majority while the northwest region and the central region of the image appear more temperature anomalies 2 The variance of the high temperature anomaly area in the original series of the variance image is large i. e. the temperature fluctuations in the time series is large. The variance of the original series of images in high vegetation coverage area is small that is the time - series change in temperature is stable. Key words TM and ETM + surface temperature radiative transfer equation method Songjianghe region Jilin Province 2016-01-16 2016-06-24 2014 13-13. 1954-. E-mail xinglx@ jlu. edu. cn
1152 35 0 LST Land surface temperature 1 127 15' ~ 1 127 45'E 41 00' ~ 42 20' N 89. 2% 2 TM GIS 1989 2010 3 TM ETM + 1993 2005 4 MODIS 31 32 5 2 2. 1 TM ETM + 12 TM6 120 m ETM + 6 60 m 1 1 Table 1 Data sources 1 2 3 4 5 6 7 8 9 10 11 12 2002 2002 2003 2002 2002 2002 1997 2000 2010 2001 2002 2002 2. 2 Band61 62
4 1153 M 2 T λ 3 3 0. 995 4 5 ε surface = 0. 962 5 + 0. 061 4F v - 0. 046 1P 2 V ε building = 0. 958 9 + 0. 086F v - 0. 067 1P 2 V 4 5 3 L λ = L minλ + Q - Q minλ L maxλ - L minλ / Q maxλ - Q minλ 1 Q DN L minλ Q = 0 L maxλ Q maxλ = Q Q maxλ Q minλ 1 T = K 2 /ln( K 3. 2 1 /LT + 1) 6 P V ETM + K 1 = 666. 09W / m 2 sr μm K 2 = 1 282. 71K TM 7 K 1 = 607. 76 W / m 2 sr μm K 2 = P V = ( NDVI - NDVI ) / S NDVI V - NDVI ( ) S 2 2 LT = L λ - L - T θ ( 1 - ε) L /T θ ε 7 NDVI NDVI S NDVI NDVI V NASA NDVI NDVI 7 T θ NDVI P V 1 NDVI L L 10 NDVI P V 0 NDVI ε surface ε building P V 3. 1 4 DN NASA Http / /atmcorr. gsfc. nasa. gov / LT 9 1 260. 56K LT 7 12 NDVI = ( NIR - R ) / ( NIR + R) 3 1 R NIR 3. 3 2 2 ~ T λ 3 M 1 T λ 3
世 1154 图1 Fig. 1 界 地 质 松江河地区地表温度异常反演 Surface temperature anomaly inversion of Songjianghe region 第 35 卷
4 1155 Table 2 2 Inversion table of land surface temperature 1 2 3 4 5 6 7 8 9 10 11 12 T 1 / - 12. 93-9. 89 2. 50 8. 01 14. 89 25. 92 28. 11 24. 45 13. 86 12. 78-9. 39-20. 05 T 1 / - 13. 08-10. 01 1. 89 8. 88 16. 85 24. 63 26. 32 26. 79 11. 75 14. 88-9. 85-21. 63 3 Table 3 Inversion mean and variance results of different time surface temperatures / M + 1S M + 1. 5S M + 2S 2002. 01-12. 931 3 2. 719 6-10. 211 7-8. 851 9-7. 492 1 2002. 02-9. 898 6 1. 886 4-8. 012 2-7. 069 0-6. 125 7 2003. 03 2. 505 0 1. 601 3 4. 106 3 4. 907 0 5. 707 6 2002. 04 14. 017 0 2. 847 9 16. 865 0 18. 289 0 19. 713 0 2003. 05 14. 898 3 3. 066 9 17. 965 3 19. 498 8 21. 032 3 2002. 06 25. 922 7 3. 119 9 29. 042 7 30. 602 7 32. 162 7 1997. 07 28. 118 6 3. 504 2 31. 622 9 33. 375 0 35. 127 1 2000. 08 24. 459 1 1. 628 9 26. 088 1 26. 902 6 27. 717 1 2010. 09 13. 861 8 1. 454 2 15. 316 1 16. 043 2 16. 770 4 2001. 10 12. 786 1 2. 392 0 15. 178 2 16. 374 3 17. 570 3 2002. 11-9. 396 0 1. 873 5-7. 522 4-6. 585 6-5. 648 9 2002. 12-20. 058 5 2. 639 7-17. 418 8-16. 098 9-14. 779 0 4 2001 10 TM Table 4 TM image surface temperature inversion of October 2001 / 2324 2325 2326 2327 1756 9. 771 9 9. 284 4 8. 229 1 7. 710 5 1757 10. 281 8 9. 827 2 8. 794 1 7. 710 2 1758 1759 10. 786 1 11. 296 3 10. 284 8 10. 279 2 8. 749 6 9. 266 2 7. 712 9 7. 720 4 2001 10 Landsat5 TM 120m Landsat7 ETM + 60m 4 5 5 11 1760 11. 332 4 9. 801 5 9. 275 1 7. 765 3 1761 10. 851 1 9. 290 6 8. 745 7 7. 709 9 1762 9. 810 7 7. 710 2 7. 709 3 7. 702 9 1763 8. 764 7 6. 664 7 6. 698 4 6. 287 3 1764 7. 753 2 6. 687 6 6. 141 1 5. 619 5 1765 7. 200 1 6. 154 7 5. 613 1 5. 087 8 1766 6. 676 8 6. 668 6 5. 609 5 5. 077 5 1767 6. 282 9 6. 667 8 6. 210 9 5. 619 5 1768 6. 602 7 6. 668 6 6. 771 2 6. 159 1 1769 7. 191 7 7. 188 2 6. 663 7 6. 151 2 1770 7. 191 4 7. 138 2 6. 193 4 6. 138 4 1771 7. 709 8 7. 730 6 6. 188 6 6. 675 2
1156 35 5 2001 10 ETM + 12 1 2 Table 5 ETM + image surface temperature inversion of October 2001 / 2324 2325 2326 2327 1756 12. 906 5 12. 823 3 12. 403 7 12. 693 3 1757 12. 198 5 12. 330 1 11. 869 6 11. 989 9 1758 12. 204 3 11. 976 8 11. 483 1 11. 650 5 1759 12. 305 4 11. 991 7 11. 951 2 13. 228 9 1760 12. 470 8 13. 105 2 14. 124 8 14. 943 8 1761 13. 142 4 14. 841 9 16. 103 8 17. 383 1 1762 13. 516 4 16. 818 4 19. 425 5 20. 119 7 1763 15. 013 9 18. 236 1 20. 851 3 21. 427 2 1764 16. 099 5 19. 480 6 21. 216 5 21. 495 3 1765 16. 687 7 19. 594 7 20. 752 8 20. 823 4 1766 17. 278 5 19. 073 4 19. 619 4 20. 066 3 1767 17. 368 8 18. 903 2 19. 333 9 19. 384 1 1768 17. 478 2 18. 986 9 19. 589 5 19. 172 8 1769 16. 868 4 18. 428 1 18. 882 8 19. 218 3 1770 16. 523 7 17. 711 3 18. 782 6 19. 363 1 1771 15. 356 6 16. 968 1 18. 903 2 19. 484 8 2a 2b 12 11 3 ~ 5 8 ~ 17 12 6 ~ 8 9 ~ 10 1 12 2 a. 12 b. 12 Fig. 2 2 12 Surface temperature anomaly inversion map of 12 months in Songjianghe region
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