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碩士學(xué)位論文 SAR影像在濕地植被地上生物量估測(cè)中的應(yīng)用，正文共62頁(yè)。
【摘要】 濕地是主要的陸地生態(tài)系統(tǒng)之一,研究濕地的生態(tài)系統(tǒng)特征和規(guī)律有著重要的意義。運(yùn)用合成孔徑雷達(dá)(SAR)影像進(jìn)行生物量估算,是生態(tài)學(xué)研究中較為新穎的課題。作為一種新型傳感器,SAR具有全天時(shí)、全天候的特點(diǎn),不受氣候影響,對(duì)水反應(yīng)敏感,對(duì)地物具有一定的穿透能力,是極其重要的濕地生態(tài)水文信息源。特別是濕地水陸交界復(fù)雜的生態(tài)環(huán)境特征,雷達(dá)影像可作為與光學(xué)影像估測(cè)生物量的補(bǔ)充。本文以三江平原內(nèi)陸沼澤濕地——洪河國(guó)家級(jí)自然保護(hù)區(qū)為例,通過(guò)2009年生長(zhǎng)季實(shí)測(cè)采集的17個(gè)沼澤植被樣方的干濕重?cái)?shù)據(jù),結(jié)合同一時(shí)間段內(nèi)HH/VV極化下的ASAR影像、PALSAR影像和TM影像,以SAR影像不同極化的后向散射系數(shù)、TM影像的歸一化植被指數(shù)(NDVI)和實(shí)測(cè)生物量干濕重?cái)?shù)據(jù)為相關(guān)變量,建立回歸模型和水云模型的擬合方程,以其余8個(gè)樣方的實(shí)測(cè)值作為檢驗(yàn)樣本,對(duì)擬合方程進(jìn)行精度評(píng)價(jià),研究SAR與TM影像估測(cè)濕地生物量的差異性。研究的主要結(jié)論有：以模型擬合相關(guān)度來(lái)看,ASAR影像VV極化下線性擬合方程相關(guān)度最高,R2達(dá)0.622,以精度評(píng)價(jià)結(jié)果及生物量分布圖看,則ASAR影像HH極化下的相關(guān)結(jié)果較好。從水云模型的擬合結(jié)果及精度評(píng)價(jià)結(jié)果看,各影像的擬合相關(guān)度及殘差系數(shù)相差不大,但生物量分布圖與實(shí)際差異較大。ASAR影像HH極化下生物量線性估測(cè)結(jié)果優(yōu)于TM影像估測(cè)結(jié)果,表明雷達(dá)遙感影像在濕地生物量估測(cè)方面與光學(xué)遙感影像具有較強(qiáng)的互補(bǔ)作用。
【Abstract】 Wetland is one of the major land ecosystems with significance to discover the characteristics and ecological laws. The estimation of wetland biomass by Synthesize Aperture Radar (SAR) is a novel subject. As a new type sensor, SAR has advantages for wetland applications such as all time, all weather, sensitive on water and definite capability through the ground. Therefore, it can be apply for generating some important information about wetland ecology and hydrology, especially with the complex ecological habitat of the transitional place between land and water, radar images can be a supplement of optical images for wetland biomass estimation.In this paper, as a case study of SAR application on Honghe National Natural Reserve (HNNR), the wet weight and dry weight field data of 17 quadrats of diverse vegetation in a growing season from the study area in 2009 were gathered and ASAR/PALSAR/TM images were acquired at the same time with field work. The backscattering coefficient of polarimetric radar, NDVI index of TM image and wet and dry weight data was taken as correlation variable, the fitting equations of regression models and water cloud model were built to estimate biomass, a validation was made from 8 measured quadrats as the test samples to evaluate the accuracy assessment and the difference between SAR and TM in wetland biomass estimation. The conclusions of the research are got as following.As the value of fitted models, the relations in linear equations of ASAR image in VV polarization are higher than other conditions, and the value of R2 is 0.622, from the accuracy assessment and the biomass estimation diagrams, the results in HH polarization of ASAR image condition approach to better.As the results of fitted equations and accuracy assessment of Water Cloud Model using SAR images, the difference between correlations and average residual coefficients is closely, but the biomass estimation diagrams varies obviously compare to original circumstances.The results of linear regression biomass estimation in HH polarization of ASAR image situation are better than TM image. It announces the efficient complementary between the SAR image and optical remote sensing image in wetland biomass estimation.
【關(guān)鍵詞】 濕地生物量； SAR； 水云模型； 估測(cè)；
【Key words】 wetland biomass； SAR； Water Cloud Model； estimation；
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