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研究生: 鄭吉宏
Cheng, Chi-Hung
論文名稱: 區域蒸發散推估方法
Methods for Estimating Regional Evapotranspiration
指導教授: 游保杉
Yu, Pao-Shan
學位類別: 碩士
Master
系所名稱: 工學院 - 水利及海洋工程學系
Department of Hydraulic & Ocean Engineering
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 65
中文關鍵詞: 葉面積指數MODIS衛星影像區域蒸發散
外文關鍵詞: Leaf Area Index, Moderate-resolution Imaging Spectroradiometer (MODIS) images, regional evapotranspiration
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  • 本研究目的為利用現地觀測與MODIS衛星影像兩種方法推估區域蒸發散,以討論不同估算方法之差異。現地觀測是採用樹液流與土壤含水量觀測,以觀測樹液流的方式計算植物蒸散量,經由葉面積指數進行尺度放大後計算區域蒸散量,再與土壤含水量變化所獲得之蒸發量相加,即為現地觀測的區域蒸發散量值;而衛星蒸發散的方法是利用MODIS衛星影像推估蒸發散公式所需要的氣象因子而來,首先針對衛星影像進行前置處理作業,採用無雲霧干擾之MODIS影像資料估算氣象因子,配合Penman-Monteith法與SEBAL法兩種估算蒸發散方法估算區域蒸發散量,最後再以評鑑指標探討現地區域蒸發散與衛星區域蒸發散量之差異。
    研究發現衛星區域蒸發散量均較現地區域蒸發散來的大,首先改進衛星估算葉面積指數的估算方式後,兩者間的差異仍無改進,後續分析發現使用衛星估算的氣象因子有誤差,改以現地觀測資料計算衛星區域蒸發散後,發現有明顯的改善,而且以Aqua MODIS配合Penman-Monteith法估算區域蒸發散的結果與現地區域蒸發散最接近。

    The objective of this study proposed herein is to discuss the differences between field experiment and Moderate-resolution Imaging Spectroradiometer (MODIS) images methods by adopting them in estimation of regional evapotranspiration. During the field experiment, sap flow and soil moisture measurements were respectively used to calculate regional transpiration (derived by scaling up Leaf Area Index) and evaporation which were then combined to provide regional evapotranspiration of field experiment. On the other hand, regional evapotranspiration of satellite remote sensing as proposed in this study was estimated by plugging meteorological factors into the calculating equation of Penman-Monteith and SEBAL methods. Above all, the detection and removal of cloud and haze in satellite images is necessarily proceeded. Finally, we used evaluation indicators to analyze the diversity of regional evapotranspiration between field experiment and satellite remote sensing.
    Results of this study indicated that the estimation result of satellite remote sensing has higher regional evapotranspiration than field experiment does. In order to compensate the bias between the two calculating results, the study intended to change the procedure of estimating Leaf Area Index estimation from satellite remote sensing first, but resulted in no significant improvement due to the existing deviation from meteorological factors of satellite remote sensing. Then, we found out that regional evapotranspiration would show more improvement if we replace meteorological factors of satellite remote sensing with field experiment data. For better accuracy of regional evapotranspiration, it is highly suggested to estimate regional evapotranspiration applying Aqua MODIS with Penman-Monteith method.

    中文摘要 I Abstract II 誌謝 IV 目錄 V 圖目錄 VII 表目錄 IX 第一章 緒論 1 1.1 研究動機與目的 1 1.2 研究方法之概述 2 1.3 研究區域 3 1.4 本文組織架構 4 第二章 文獻回顧 6 2.1 衛星影像之應用 6 2.2 樹液探針之應用 11 第三章 估算蒸發散之方法 13 3.1 現地觀測方法 13 3.1.1 實地觀測介紹 13 3.1.2 現地觀測推估區域蒸發散 16 3.2 MODIS影像推估區域蒸發散 19 3.2.1 MODIS感測器簡介 20 3.2.2 MODIS衛星影像處理 22 3.2.3 MODIS影像計算Penman-Monteith方法 26 3.2.4 MODIS影像計算地表能量演算平衡(SEBAL)方法 31 第四章 區域蒸發散估算之結果分析 38 4.1 現地觀測區域蒸發散之結果 38 4.2 MODIS遙測蒸發散之結果 43 4.3區域蒸發散比較 45 第五章 結論與建議 56 5.1 結論 56 5-2 建議 57 參考文獻 59

    1. 江彥峰,(2004),應用MODIS衛星影像推估森林生態系蒸發散量,國立屏東科技大學森林所碩士論文。
    2. 何漢傑,(2008),利用MODIS影像於水稻田蒸發散量之研究,國立中央大學太空科學研究所碩士論文。
    3. 吳聲沅,(2008),利用樹液探針研究環境參數對植物蒸散之影響,國立中央大學土木工程研究所碩士論文。
    4. 杜榮鴻,(2005),應用MODIS影像推估潛勢蒸發散量之研究,國立成功大學水利及海洋工程研究所碩士論文。
    5. 林錦源,(2006),應用土壤含水量觀測推估蒸發散量之研究,國立成功大學水利及海洋工程研究所碩士論文。
    6. 邱奕霖,(2005),地表過程蒸發散之觀測與分析,國立中央大學水文科學研究所碩士論文。
    7. 洪志凱,(2004),樹液探針之發展與應用,國立台灣科技大學機械工程所碩士論文。
    8. 馬仕穆,(2000),以SPOT衛星影像資料推估南仁山森林生態系之葉面積指數與凋落物,國立屏東科技大學碩士論文。
    9. 張子瑩,(2010),應用遙測影像於地表熱通量平衡之研究,國立中央大學太空科學研究所博士論文。
    10. 郭振民,(2009),整合為星遙測與無線化樹汁流觀測推估區域蒸發散,國立成功大學水利及海洋工程研究所博士論文。
    11. 陳俐如,(2005),鴛鴦湖地區台灣扁柏樹液流動之探討,國立東華大學自然資源管理研究所碩士論文。
    12. 陳奕穎,(2004),發展遙測資料反演可感熱與潛熱通量之研究,國立中央大學水文科學研究所碩士論文。
    13. 曾忠一,(1988),大氣衛星遙測學,國立編譯館主編渤海堂文化事業公司印行。
    14. 童慶斌、陳主惠,(2001),台灣地區合理之蒸發散折算係數與區域蒸發散量估算方法之建立(1/2)及(2/2)。 經濟部水資源局計畫報告。
    15. 鄭祈全、邱祈榮、陳燕章,(1997),應用遙測方法估測台灣杉林分之葉面積指數。 台灣林業科學,12(2),309-317。
    16. 蕭葆羲,(2002),風工程,國立海洋大學河海工程系出版。
    17. 鍾譯靚,(2001),利用衛星遙測估算蒸發散量與熱通量之研究,國立臺灣大學土木工程學研究所碩士論文。
    18. 羅勻謙,(2004),鴛鴦湖地區台灣扁柏森林生態系蒸散作用之研究,國立東華大學自然資源管理研究所碩士論文。
    19. 羅時凡,魏浚紘,李崇誠,陳朝圳,(2009),遙測技術應用於溪頭地區柳杉人工林之森林健康調查,林業研究季刊,31(1),37-54。
    20. Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., (1998), Crop evapotranspiration guide for computing crop water requirements FAO Irrigation and Drainage Paper, 56.
    21. Bastiaanssen, W.G.M.,(2000), SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology, 229(1-2), 87-100.
    22. Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A., and Holtslag, A.A.M., (1998), A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation., Journal of Hydrology, 212-213,198-212.
    23. Bisht, G., and Bras, R. L., (2010), Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study. Remote Sensing of Environment, 114(7), 1522-1534.
    24. Brutsaert, W., and Sugita, M., (1992), Regional surface fluxes under nonuniform soil moisture conditions during drying. Water Resources Research, 28(6), 1669-1674.
    25. Crago, R.D.,(1996), Conservation and variability of the evaporative fraction during the daytime. Journal of Hydrology, 180(1-4), 173-194
    26. Daughtry, C.S.T., Kustas, W.P., and Moran, M.S., (1990), Spectral estimates of net radiation and soil heat flux. Remote Sensing of Environment, 32, 111-124.
    27. Dawson, T. E., Burgess, S. S. O., Tu, K. P., Oliveira, R. S., Santiago, L. S., Fisher, J. B., (2007), Nighttime transpiration in woody plants from contrasting ecosystems. Tree Physiology, 27(4), 561-575.
    28. Dyer, A.J.,(1974), A review of flux–profile relationships, Boundary-Layer Meteorol., 3, 363-372.
    29. Brutsaert, W. and Sugita, M., (1992), Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation. Journal of Geophysical Reseacher-Atmosphere, 97(D17), 18377-18382
    30. Elhaddad, A., Garcia, L. A., and Chavez, J. L., (2011), Using a Surface Energy Balance Model to Calculate Spatially Distributed Actual Evapotranspiration. Journal of Irrigation and Drainage Engineering-Asce, 137(1), 17-26.
    31. Esaias, W. E., Abbott, M. R., Barton, I., Brown, O. B., Campbell, J. W., Carder, K. L., (1998), An overview of MODIS capabilities for ocean science observations. Ieee Transactions on Geoscience and Remote Sensing, 36(4), 1250-1265.
    32. Granier. A.,(1987), Evaluation of transpiration in a Douglas-fir stand by means of sap flow measurements. Tree Physiology,3(4), 309-320.
    33. Guerschman, J. P., Van Dijk, A., Mattersdorf, G., Beringer, J., Hutley, L. B., Leuning, R., (2009), Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia. Journal of Hydrology, 369(1-2), 107-119.
    34. Hashimoto, H., Dungan, J. L., White, M. A., Yang, F., Michaelis, A. R., Running, S. W., (2008), Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sensing of Environment, 112(1), 142-155.
    35. Immerzeel, W. W., and Droogers, P., (2008), Calibration of a distributed hydrological model based on satellite evapotranspiration. Journal of Hydrology, 349(3-4), 411-424.
    36. Jensen, M.E., Burman, R.D., and Allen, R.G., (1990), Evapotranspiration and Irrigation Water Requirement, American Society of Civil Engineers, New York.
    37. Jiang, L., Islam, S., Guo, W., Jutla, A. S., Senarath, S. U. S., Ramsay, B. H., (2009), A satellite-based Daily Actual Evapotranspiration estimation algorithm over South Florida. Global and Planetary Change, 67(1-2), 62-77.
    38. Justice, C. O., Vermote, E., Townshend, J. R. G., Defries, R., Roy, D. P., Hall, D. K., (1998), The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research. Ieee Transactions on Geoscience and Remote Sensing, 36(4), 1228-1249.
    39. Kumagai, T., Aoki, S., Nagasawa, H., Mabuchi, T., Kubota, K., Inoue, S., (2005), Effects of tree-to-tree and radial variations on sap flow estimates of transpiration in Japanese cedar. Agricultural and Forest Meteorology, 135(1-4), 110-116.
    40. Jiang L., Islam S., Guo W.,(2009), A satellite-based Daily Actual Evapotranspiration estimation algorithm over South Florida., Global and Planetary Change,67(1-2), 62-77.
    41. Lillesand, T.M., and Kiefer R.W., (1994), Remote Sensing and Image Interpretation., John Wiley and Sons., 256
    42. Lu, X. L., & Zhuang, Q. L., (2010), Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data. Remote Sensing of Environment, 114(9), 1924-1939.
    43. Maeda, E. E., Wiberg, D. A., and Pellikka, P. K. E., (2011a), Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya. Applied Geography, 31(1), 251-258.
    44. Maeda, E. E., Wiberg, D. A., & Pellikka, P. K. E., (2011b), Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya. Applied Geography, 31(1), 251-258.
    45. Menenti, M., and Choudhury, B.J., (1993), Parameterization of land surface evaporation by means of location dependent potential evaporation and surface temperature range., Proceeding of IAHS conference on Land Surface Processes, IAHS Publ., 212, 561-568.
    46. Petitcolin F., and Vermote E., (2002), Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data., Remote Sensing of Environment, 83, 112-134.
    47. Prata, A. J., (1996), A new long-wave formula for estimating downward clear-sky radiation at the surface. Quarterly Journal of the Royal Meteorological Society, 122(533), 1127-1151.
    48. Sun Z, Gebremichael M, Ardo J., (2011), Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data. Hydrology and Earth System Sciences,15(1),163-170.
    49. Teixeira, A. H. d. C., Bastiaanssen, W. G. M., Ahmad, M. D., and Bos, M. G. (2009). Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle Sao Francisco River basin, Brazil Part A: Calibration and validation. Agricultural and Forest Meteorology, 149(3-4), 462-476.
    50. Vancutsem, C., Ceccato, P., Dinku, T., & Connor, S. J., (2010), Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa. Remote Sensing of Environment, 114(2), 449-465.
    51. Venturim, V., Islam, S., & RodrigueZ, L., (2008a), Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model. Remote Sensing of Environment, 112(1), 132-141.
    52. Venturim, V., Islam, S., & RodrigueZ, L., (2008b), Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model. Remote Sensing of Environment, 112(1), 132-141.
    53. Vicente-Serrano S.M., Lasanta T., Gracia C.,(2010), Aridification determines changes in forest growth in Pinus halepensis forests under semiarid Mediterranean climate conditions, Agricultural and Forest Meteorology, 150(4), 614-628.
    54. Wang, K. C., & Liang, S. L., (2008), An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture. Journal of Hydrometeorology, 9(4), 712-727.
    55. Wilson, K.B., Hanson, P.J., Mulholland, P.J., Baldocchi, D.D. and Wullschleger, S.D., (2001), A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance, Agricultural and Forest Meteorology,106(2),153-168.
    56. Xiao Z.Q., Liang S.L., Wang J.D.,(2011), Real-time retrieval of Leaf Area Index from MODIS time series data., Remote Sensing of environment, 115(1), 97-106.
    57. Yao, Y. J., Qin, Q. M., Ghulam, A., Liu, S. M., Zhao, S. H., Xu, Z. W., (2011), Simple method to determine the Priestley-Taylor parameter for evapotranspiration estimation using Albedo-VI triangular space from MODIS data. Journal of Applied Remote Sensing, 5.
    58. Zheng G., Moskal L.M., (2009), Retrieving Leaf Area Index (LAI) Using Remote Sensing:Theories, Methods and Sensors., Sensors,9(4), 2719-2745.
    59. Zhang, J., Hu, Y., Xiao, X., Chen, P., Han, S., Song, G., (2009), Satellite-based estimation of evapotranspiration of an old-growth temperate mixed forest. Agricultural and Forest Meteorology, 149(6-7), 976-984.
    60. Zhang, K., Kimball, J. S., Mu, Q., Jones, L. A., Goetz, S. J., & Running, S. W., (2009), Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005. Journal of Hydrology (Amsterdam), 379(1-2), 92-110.

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