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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭克聲(Ke-Sheng Cheng) | |
| dc.contributor.author | Ying-Syuan Chen | en |
| dc.contributor.author | 陳映璇 | zh_TW |
| dc.date.accessioned | 2021-06-13T07:55:52Z | - |
| dc.date.available | 2011-08-11 | |
| dc.date.copyright | 2011-08-11 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-21 | |
| dc.identifier.citation | 1. 朱文泉、潘耀忠、何浩、于德永、扈海波，(2006)中國典型植被最大光利用率模擬。科學通報，51(6)，P700~706.
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Remote Sensing of Environment, 83, 214– 231. 29. Parton, W. J. , Scurlock, J. M. O., Ojima, D. S., 1993. Observations and Modeling of Biomass and S oil Organic Matter Dynamics for the Grassland Biome Worldwide [J ] . Global Biogeochemical Cycles , 7 :785—890. 30. Potter, C. S., Randerson, J. T., Field, C. B., 1993. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biochemical Cycle, 7: 811~841. 31. Raymond, E., Hunt, J. R., 1994. Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI. International Journal of Remote Sensing, 15: 1725~1730. 32. Rahman, H., Pinty, B., Verstraete, M.M., 1993. Coupled surface-atmosphere reflectance CSAR model. Part 2: semi-empirical surface model usable with NOAA advanced very high resolution radiometer data. Journal of Geophysical Research 98, 20791–20801. 33. Ruimy, A., and Saugier, B., 1994. 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V., Knyazikhin, Y., Nemani, R. R., Myneni, R. B., 2006. Analysis of Leaf Area Index and Fraction of PAR Absorbed by Vegetation Products From the Terra MODIS Sensor: 2000– 2005. IEEE Transactions on Geoscience and Remote Sensing, VOL. 44, NO. 7 43. Wiegand, C. T., Maas, S. J., Aase, J. K., 1992. Multisite analyses of spectral-biophysical data for wheat [J]. Remote Sensing of Environment, 42:1-21. 44. Zhao, M., Running, S. W., Heinsh, F. A., Nemani, R. R., 2006b. Variations of global terrestrial primary production observed by Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 to 2005. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36284 | - |
| dc.description.abstract | 本研究透過現地量測與Landsat-7ETM+衛星影像兩種尺度偵測水稻田之植生參數於水稻生長期間變化，並探討植生參數與二氧化碳通量之間的相關性。
本研究方法使用Gobron(2006)提出的大氣修正法估算植生冠層入射光合有效輻射吸收率(FAPAR)，並使用Monteith(1972)提出的光能利用率模式估算淨初級生產量(NPP)，最後探討常態化差異植生指標(NDVI)、FAPAR、NPP與渦流相關法(Eddy covariance method)估算求得二氧化碳通量之相關性。衛星影像選擇空間解析度30公尺的美國大地衛星(Landsat-7ETM+)，空間尺度較接近研究區域，將同樣的計算方式應用在衛星影像，最後將現地實驗估算結果與衛星影像估算結果相互驗證。 研究結果顯示，現地估算結果皆有落在衛星影像估算結果之範圍內，代表兩者估算結果一致，另外經由NDVI、FAPAR、NPP與二氧化碳通量變化趨勢圖中，可看出NPP相較於NDVI與FAPAR，也更能偵測出與二氧化碳通量的線性反比變化趨勢，驗證Zhao(2006b)所提出NPP與二氧化碳通量存在良好負相關之論點。 | zh_TW |
| dc.description.abstract | The major purpose of this study is to use field measurements and Landsat-7ETM satellite images to detect the two-scale paddy field parameters in the vegetative growth
period of rice, and to investigate the relationships between the vegetation indices and the carbon dioxide fluxes. In this study, FAPAR was estimated using an algorithm developed by Gobron (2005) , and the Monteith light use efficiency model was used to estimate NPP. Empirical relationships between NDVI, FAPAR, NPP and CO2 flux were established. It was found that NPP is more sensitive than NDVI and FAPAR. Such results are consistent with Zhao (2006b) that NPP is the primary driver of the atmospheric CO2 growth rate. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T07:55:52Z (GMT). No. of bitstreams: 1 ntu-100-R98622014-1.pdf: 7565898 bytes, checksum: 151877fbe850c3c9ab58e0f0536b8409 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 摘要.................................................................................................................................Ⅰ
Abstract...........................................................................................................................Ⅱ 目錄................................................................................................................................Ⅲ 圖目錄............................................................................................................................Ⅴ 表目錄............................................................................................................................Ⅶ 第一章 序論....................................................................................................................1 1.1 研究動機與目的.....................................................................................................1 1.2 研究流程與架構.....................................................................................................2 第二章 文獻回顧............................................................................................................4 2.1 遙測技術應用於植生健康狀態之探討.................................................................4 2.2 葉面積指數(LAI)................................................................................................... 5 2.3 常態化差異植生指標(NDVI) ................................................................................6 2.4 植生冠層入射光合有效輻射吸收率(FAPAR).......................................................7 2.5 淨初級生產量(NPP)..............................................................................................11 2.6 二氧化碳通量(FCO2).......................................................................................... .17 第三章 研究方法...........................................................................................................22 3.1 植生冠層入射光合有效輻射吸收率(FAPAR)估算.............................................22 3.1.1 大氣修正演算法.....................................................................................22 3.1.2 替代演算法.............................................................................................30 3.2 淨初級生產量(NPP)估算......................................................................................32 3.3 衛星影像估算植生參數........................................................................................33 第四章 研究區域與資料...............................................................................................36 4.1 研究區域概述........................................................................................................36 4.2 美國大地衛星(Landsat)簡介.................................................................................38 4.3 衛星影像挑選........................................................................................................40 4.4 實驗儀器概述........................................................................................................40 第五章 結果與討論.......................................................................................................44 5.1 現地量測結果........................................................................................................44 5.1.1 植生冠層入射光合有效輻射吸收率(FAPAR)......................................52 5.1.2 二氧化碳通量.........................................................................................55 5.2 衛星影像推估結果................................................................................................62 5.2.1 常態化差異植生指標(NDVI)...............................................................62 5.2.2 植生冠層入射光合有效輻射吸收率(FAPAR).....................................63 5.2.3 淨初級生產量(NPP)..............................................................................63 5.2.4 衛星影像推估結果驗證........................................................................68 第六章 結論與建議......................................................................................................70 6.1 結論.......................................................................................................................70 6.2 建議.......................................................................................................................71 參考文獻........................................................................................................................72 附錄：符號表................................................................................................................77 | |
| dc.language.iso | zh-TW | |
| dc.subject | 淨初級生產量 | zh_TW |
| dc.subject | 植生冠層入射光合有效輻射吸收率 | zh_TW |
| dc.subject | 常態化差異植生指標 | zh_TW |
| dc.subject | 二氧化碳通量 | zh_TW |
| dc.subject | Landsat-7ETM+ | zh_TW |
| dc.subject | 遙感探測. | zh_TW |
| dc.subject | Landsat-7ETM+ | en |
| dc.subject | Remote sensing. | en |
| dc.subject | CO2 flux | en |
| dc.subject | net primary production (NPP) | en |
| dc.subject | Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) | en |
| dc.subject | Normalized Difference Vegetation Index (NDVI) | en |
| dc.title | 應用衛星影像估算水稻田之植生參數與二氧化碳通量 | zh_TW |
| dc.title | Estimating Vegetation Indices and Carbon Dioxide Flux in Paddy Field Using Remote Sensing Images | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 謝正義(Cheng-I Hsieh) | |
| dc.contributor.oralexamcommittee | 黃文政(Wen-Cheng Huang) | |
| dc.subject.keyword | 常態化差異植生指標,植生冠層入射光合有效輻射吸收率,淨初級生產量,二氧化碳通量,Landsat-7ETM+,遙感探測., | zh_TW |
| dc.subject.keyword | Normalized Difference Vegetation Index (NDVI),Fraction of Absorbed Photosynthetically Active Radiation (FAPAR),net primary production (NPP),CO2 flux,Landsat-7ETM+,Remote sensing., | en |
| dc.relation.page | 77 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-07-21 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物環境系統工程學研究所 | zh_TW |
| 顯示於系所單位： | 生物環境系統工程學系 | |
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