遙感混合像元日蒸散模型及應(yīng)用研究
本文選題:遙感 + 蒸散; 參考:《中國科學(xué)院大學(xué)(中國科學(xué)院遙感與數(shù)字地球研究所)》2017年碩士論文
【摘要】:蒸散是水量平衡的主要分量,又是能量平衡的重要組成部分。遙感是目前公認的估算區(qū)域尺度蒸散的最有效方法。但是,下墊面的非均勻和時間尺度的擴展問題是遙感估算蒸散量研究的難點。論文針對下墊面地類的非均勻性造成的遙感混合像元,建立了適應(yīng)不同尺度、不同數(shù)據(jù)源的非均勻地表蒸散模型;并將遙感觀測到的瞬時地表蒸散量擴展到了日尺度,提高了模型的實際應(yīng)用價值。論文首先根據(jù)蒸發(fā)比的含義和馬賽克模型的思想,采用面積加權(quán)的思想,推導(dǎo)出了混合像元蒸發(fā)比的計算方法。在推導(dǎo)過程中,論文提出了兩個關(guān)鍵假設(shè):(1)混合像元中各亞像元的有效能在誤差范圍內(nèi)大致相等,且等于混合像元的有效能;(2)將混合像元中地類的亞像元的蒸發(fā)比的值與該地類純像元的蒸發(fā)比的值建立某種聯(lián)系,從而使亞像元蒸發(fā)比可以被該地類純像元的蒸發(fā)比的值代替。對于混合像元中亞像元蒸發(fā)比代表性的假設(shè),論文利用遙感反演與站點實測數(shù)據(jù)相對比的方法,討論了七種假設(shè)方案,最終根據(jù)數(shù)理基礎(chǔ)和誤差情況選定最鄰近純像元蒸發(fā)比來代替混合像元中亞像元地類的蒸發(fā)比。根據(jù)混合像元蒸發(fā)比計算公式,進一步推導(dǎo)出了混合像元蒸散量的估算方法,建立了混合像元日蒸散模型。同時,利用HJ1-B衛(wèi)星采用先聚合再反演的方法,將30m分辨率的參數(shù)統(tǒng)一到地表溫度參量的300m尺度,然后在此基礎(chǔ)上進行水熱通量反演。之后利用混合像元日蒸散模型對該結(jié)果進行尺度校正,并利用Hiwater(Heihe Watershed Allied Telemetry Experimental Research)非均勻下墊面多尺度蒸散發(fā)觀測試驗提供的渦度相關(guān)數(shù)據(jù)對結(jié)果進行驗證,得到的結(jié)果相較于均勻地表假設(shè)的模型有一定的提高。
[Abstract]:Evapotranspiration is the main component of water balance and an important component of energy balance. Remote sensing is currently recognized as the most effective method for estimating evapotranspiration at regional scale. However, the inhomogeneity of underlying surface and the expansion of time scale are the difficulties in the estimation of evapotranspiration by remote sensing. In this paper, a heterogeneous evapotranspiration model for different scales and different data sources is established, and the instantaneous surface evapotranspiration observed by remote sensing is extended to a daily scale. The practical application value of the model is improved. Firstly, according to the meaning of evaporation ratio and the idea of mosaic model, the method of calculating the evaporation ratio of mixed pixel is deduced by using the area weighting idea. In the process of derivation, two key assumptions are put forward: 1) the effective efficiency of each sub-pixel in the mixed pixel is approximately equal in the error range. And the effective ratio is equal to the mixed pixel.) the value of the evaporation ratio of the subpixel of the ground class in the mixed pixel is related to the value of the evaporation ratio of the local pure pixel, so that the sub-pixel evaporation ratio can be replaced by the value of the evaporative ratio of the local pure pixel. For the representation hypothesis of the subpixel evaporation ratio of mixed pixels, this paper discusses seven hypothetical schemes by comparing remote sensing inversion with measured data. Finally, the nearest pure pixel evaporation ratio is selected according to the mathematical basis and error situation to replace the evaporation ratio of the subpixel ground class of the mixed pixel. Based on the formula of evaporative ratio of mixed pixel, the method of estimating the evapotranspiration of mixed pixel is derived, and the daily evapotranspiration model of mixed pixel is established. At the same time, by using HJ1-B satellite, the parameters of 30m resolution are unified to 300m scale of the surface temperature parameter by the method of first aggregation and then inversion, and then the water and heat flux inversion is carried out on this basis. Then the mixed pixel daily evapotranspiration model is used to calibrate the results, and the vorticity correlation data from the multi-scale evapotranspiration observation on the non-uniform underlying surface of Hiwater(Heihe Watershed Allied Telemetry Experimental research are used to verify the results. The obtained results are better than the model of uniform surface hypothesis.
【學(xué)位授予單位】:中國科學(xué)院大學(xué)(中國科學(xué)院遙感與數(shù)字地球研究所)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP751
【參考文獻】
相關(guān)期刊論文 前10條
1 于文濤;李靜;柳欽火;曾也魯;尹高飛;趙靜;徐保東;;中國地表覆蓋異質(zhì)性參數(shù)提取與分析[J];地球科學(xué)進展;2016年10期
2 周倜;彭志晴;辛?xí)灾?李福根;;非均勻地表蒸散遙感研究綜述[J];遙感學(xué)報;2016年02期
3 矯京均;辛?xí)灾?余珊珊;周倜;彭志晴;;HJ-1衛(wèi)星數(shù)據(jù)估算地表能量平衡[J];遙感學(xué)報;2014年05期
4 ZHONG Bo;MA Peng;NIE AiHua;YANG AiXia;YAO YanJuan;Lü WenBo;ZHANG Hang;LIU QinHuo;;Land cover mapping using time series HJ-1 / CCD data[J];Science China(Earth Sciences);2014年08期
5 何磊;王瑤;別強;方鏡堯;趙傳燕;;基于SEBS-METRIC方法的黑河流域中游地區(qū)農(nóng)田蒸散[J];蘭州大學(xué)學(xué)報(自然科學(xué)版);2013年04期
6 徐自為;劉紹民;徐同仁;丁闖;;不同土壤熱通量測算方法的比較及其對地表能量平衡閉合影響的研究[J];地球科學(xué)進展;2013年08期
7 YU ShanShan;XIN XiaoZhou;LIU QinHuo;;Estimation of clear-sky longwave downward radiation from HJ-1B thermal data[J];Science China(Earth Sciences);2013年05期
8 張榮華;杜君平;孫睿;;區(qū)域蒸散發(fā)遙感估算方法及驗證綜述[J];地球科學(xué)進展;2012年12期
9 張慧;申雙和;溫學(xué)發(fā);孫曉敏;米娜;;陸地生態(tài)系統(tǒng)碳水通量貢獻區(qū)評價綜述[J];生態(tài)學(xué)報;2012年23期
10 李新;李小文;李增元;王建;馬明國;劉強;肖青;胡澤勇;車濤;王介民;柳欽火;陳爾學(xué);閻廣建;劉紹民;王維真;張立新;王錦地;牛錚;晉銳;冉有華;王亮緒;;黑河綜合遙感聯(lián)合試驗研究進展:概述[J];遙感技術(shù)與應(yīng)用;2012年05期
相關(guān)博士學(xué)位論文 前2條
1 劉朝順;區(qū)域尺度地表水熱的遙感模擬及應(yīng)用研究[D];南京信息工程大學(xué);2008年
2 辛?xí)灾?用定量遙感方法計算地表蒸散[D];中國科學(xué)院研究生院(遙感應(yīng)用研究所);2003年
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