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1.
应用MODIS影像估测太湖水体悬浮物浓度   总被引:4,自引:0,他引:4       下载免费PDF全文
以太湖为研究区域,同步获取悬浮物浓度实测数据、水体反射光谱数据和MODIS卫星影像数据,构建基于中分辨率成像光谱仪(MODIS)的悬浮物遥感估测模型.为了削弱大气效应,对MODIS影像了进行了粗略大气纠正.通过悬浮物特征光谱分析,将MODIS各敏感波段及波段组合与悬浮物浓度实测值进行相关分析,并应用实测光谱数据进行验证.在此基础上,运用回归分析建立半经验反演模型,并对模型进行了评价和应用.研究结果表明,MODIS影像可以很好地对大型内陆湖泊的悬浮物浓度进行遥感估测.250 m波段2 500 m波段4与1 000 m波段14是探测悬浮物的敏感波段.波段组合上,500 m组合因子r4/r3、r4-r3估测悬浮物含量的精度很高,适于构建反演模型;1 000 m波段8、11、131、4的多元组合也是构建模型的较好选择(R2均不低于0.85).  相似文献   

2.
利用遥感影像反演地物反射率,大气校正必不可少。对于高光谱影像,其信噪比与多波段遥感影像相比非常低,消除大气的影响显得尤为重要。在大气辐射传输模型Modtran4.0基础上,给出了一种直接、有效的大气校正参数计算方法。结合MODIS/TERRA大气温湿度廓线产品,使用此方法计算了高光谱影像Hyperion大气校正参数,并用于Hyperion影像的部分波段的反射率反演,与卫星过境时地面同步实测的典型地物反射率以及高光谱大气校正软件ACORN的计算结果进行比较,获得了比较好的结果。研究表明,大气辐射传输模型和卫星遥感大气参数产品相结合用于遥感影像的大气校正是可行的。  相似文献   

3.
基于6S模型的MODIS影像逐像元大气校正及其应用   总被引:1,自引:0,他引:1  
以获取地物真实反射率为目的,介绍了逐像元大气校正的方法。应用6S模型逐像元综合考虑太阳天顶角、传感器天顶角、相对方位角、大气气溶胶厚度、观测波段以及地表海拔这6个参数,生成查找表,统计分析各参数关于反射率的敏感度;并与以往单一参数校正的方法比较了校正的效果。结果表明,逐像元大气校正算法更加接近地物的真实反射率。利用MODIS地表反射率产品对大气校正的结果进行验证,单一参数、逐像元大气校正的相对误差分别控制在26.9%和12.7%以内;在以植被指数(NDVI)为例的后续遥感定量化反演过程中,逐像元比单一参数大气校正方法计算的NDVI平均高出14.4%。  相似文献   

4.
利用自动气象站观测的长波辐射计算得到的地表温度对MODIS地表温度(LST)产品在青藏高原中部连续多年冻土区的精度进行验证, 并利用具有较高空间分辨率的Landsat 5 TM和Landsat 7 ETM+反演的地表温度与MODIS LST产品进行了对比分析. 结果表明: 白天MODIS LST产品的平均绝对误差(MAE)和均方根误差(RMSE)分别约为3.42~4.41 ℃和4.41~5.29 ℃, 夜晚MODIS产品MAE和RMSE分别为2.15~2.90 ℃和3.05~3.78 ℃, 精度高于白天; MODIS LST与TM、ETM+反演的地表温度一致性较好, 相关系数分别达到0.85和0.95. 说明MODIS LST产品在连续多年冻土区的适用性较高, 是研究多年冻土地表热状况的一个非常好的数据源. 而且, 不同空间尺度的遥感数据之间一致性较好, 可考虑将多源遥感数据应用于多年冻土热状况监测研究.  相似文献   

5.
热红外遥感是地热资源勘查中的常用技术,对江西寻乌地区的Landsat 8热红外影像采用单窗算法,根据MODIS影像计算大气水汽含量,并逐步获取反演参数,得到地表温度反演结果;利用MOD11_L2地表温度产品对结果进行对比分析,验证反演有效性。通过对已有地热资料和地质构造背景的研究,总结地热形成的有利构造条件,分析地表反演温度与已有地热及断裂构造之间的空间关系,建立地热异常区圈定依据,并剔除假异常,最终在研究区圈定了11个潜在地热异常区,为该区地热勘查提供依据。  相似文献   

6.
辽东湾海水透明度的遥感估算模型   总被引:2,自引:0,他引:2  
海水透明度和水质存在很好的相关性,是水质的重要童度之一.利用卫星遥感估算获取透明度可弥补常规采样方法的数据离散化、耗时长且费用高的缺陷,可得到大尺度海洋透明度分布.以辽东湾为研究区,利用现场实测光谱模拟了MODIS波段从而削除大气干扰,在分析MODIS特征波段基础上,通过比较单波段算法和波段比值法等算法,建立了透明度遥...  相似文献   

7.
重点综述了近年来利用MODIS,AIRS,AMSU,MLS,DNB,COSMIC,HIRDLS以及SOFIE等卫星资料分析和研究大气重力波波动的若干研究进展,并简要概述了相关的地基观测结果以及数值模拟研究,列举了卫星观测与地基观测和数值模式在大气重力波分析中的联合应用结果。总的来说,卫星遥感资料在临近空间环境特性研究中发挥着重要作用,与其他资料联合起来可分析不同波源激发波动的尺度,不稳定条件与波动发生和波动形态的关系,波动在气候过程中的作用,波与波之间的相互作用以及波流相互作用等。  相似文献   

8.
基于MODIS和AMSR-E资料的青海省旬合成雪被图像精度评价   总被引:1,自引:0,他引:1  
利用2002年10月1日至2008年3月31日青海省MODIS/Terra-Aqua每日雪被产品(MOD10A1、MYD10A1)和AMSR-E/Aqua每日雪水当量产品,研究了MODIS和AMSR-E旬数据的融合算法,合成了AMSR-E旬积雪分类图像(AE_10D)、MODIS旬积雪分类图像(MOYD_10D)及二者...  相似文献   

9.
利用大亚湾2011年2月10日一景环境星HJ1B热红外遥感影像,通过MODTRAN计算得到大气上、下行辐射和大气透过率,再运用经验公式计算星下辐亮度,分别用大气辐射传输方程模型法、覃志豪单窗算法和Jimenez-Munoz&Sobrino单通道算法反演大亚湾地区海表温度。将三种方法反演的结果与MODIS海表温度对比,其中覃志豪普适性单窗算法反演的海表温度与MODIS海表温度一致性最好,获得的精度较高,RTM算法与覃志豪单窗反演的结果平均误差在0.7K左右。  相似文献   

10.
积雪反照率在全球气候和能量收支平衡模型中起着重要的作用. 利用祁连山地区大冬树垭口站点反照率实测数据对由TM/ETM+得到的反照率数据进行标定, 然后将TM/ETM+反照率数据通过升尺度对MODIS逐日积雪反照率(SAD)产品在晴空条件下的精度进行了验证. 同时, 发展了一个基于MODIS SAD与AMSR-E SWE数据融合并结合Noah积雪反照率参数化方案估算MODIS SAD数据云下积雪反照率的算法, 通过统计分析纠正了云对积雪反照率的影响, 对云下积雪反照率进行了验证分析. 结果表明:MODIS SAD产品在祁连山地区的精度要低于大面积积雪覆盖的平坦地区(如格陵兰岛), 其平均绝对误差及均方根误差分别为0.0548和0.0727; 云下积雪反照率估算方法可以有效地获取云覆盖下积雪像元的反照率值, 纠正后的无云MODIS SAD数据与地面观测值有较好的一致性, 其平均绝对误差为0.078.  相似文献   

11.
利用MODIS热红外数据反演地表温度前应处理的几个问题   总被引:4,自引:0,他引:4  
中分辨率成像光谱仪(M0DIS)作为甚高分辨率扫描仪(AVHRR)等的换代产品,必然考虑到利用MODIS红外数据来反演地表温度.首先通过大气窗口的分析,在MODIS的16个热红外波段中可以选择7个波段,即波段20、22、23、29、31、32、33.它们与相应的AVHRR波段有着共同的波谱响应范围,但利用反演算法时应注意它们比较大的相关性.在MODIS热红外通道的定标处理中,使其记数值换算为具有物理意义的辐射亮度值.  相似文献   

12.
Vegetation is a natural source of Volatile Organic Compounds (VOC) that plays an important role in atmospheric chemistry. The main objective of the current study is to implement a model to quantify process-based VOC emissions from plants that focuses on the relationship between the sensitivity of VOC emission estimates to spatial resolution data, based on scientific knowledge and vegetation dynamics derived from satellite observations. The Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) were elected to examine this issue using different resolutions of satellite-derived products: 22m from the DEIMOS-1 satellite, and 250m and 1000m provided by MODIS. The study is focused on an area of 80×80km2 in Portugal for 2011. Detailed land cover and meteorological data are also included in the emission quantification algorithm. The primary outcomes were determined using a multi-scale analysis showing spatial and temporal variations in the vegetation parameters and modeling results. The results confirm that the emissions model is highly sensitive to the spatial resolution of the satellite-derived data, resulting in about a 30% difference in total isoprene emissions for the study area.  相似文献   

13.
Data of normalized water leaving radiance at a wavelength 859 nm Lwn(859) of 250-m spatial resolution obtained from Moderate Ocean Color Scanners (MODIS) installed on Aqua and Terra satellites were used to study meteorological waves. These waves are caused by atmospheric internal gravity waves at the expense of a change of atmospheric pressure impacting the sea surface and bringing a change in its level; they are observable everywhere in the ocean. Examples of meteorological waves were considered for the eastern part of the Black Sea, where they appeared as stripes of alternate brightness on Lwn(859) images. It is shown that meteorological waves at one and the same place can be totally generated by atmospheric waves spreading at different heights of the lower troposphere. The 3D characteristics of meteorological waves were evaluated including the direction of wave propagation, crest length reaching more than one hundred kilometers, wavelength of several tens centimeters, and wave amplitude of several tens of centimeters. For conditions of intermittent cloudiness, imposition in a difference mode of the level L1b radiance image with the signature of atmospheric waves in a cloud and of the level L2 water leaving the radiance image with the signature of meteorological waves enabled us to examine the phase structure of waves and to reveal the existence of resonance.  相似文献   

14.
Suspended sediments concentration (SSC) in surface water derived from bottom sediment resuspension or discharge of sediment-laden rivers is an important indication of coastal water quality and changes rapidly in high-energy coastal area. Since artificial neural networks (ANN) had been proven successful in modeling a variety of geophysical transfer functions, an ANN model to simulate the relationship between surface water SSC and satellite-received radiances was employed. In situ SSC measurements from the Hangzhou Bay and the Moderate-resolution Imaging Spectroradiometer (MODIS) 250 m daily products were adopted in this study. Significant correlations were observed between in situ measurements and band 1–2 reflectance values of MODIS images, respectively. Results indicated that application of ANN model with one hidden layer appeared to yield superior simulation performance (r 2 = 0.98; n = 25) compared with regression analysis method. The RMSE for the ANN model was less than 10%, whereas the RMSE for the regression analysis was more than 25%. Results also showed that different tidal situations affect the model simulation results to some extent. The SSC of surface water in Hangzhou Bay is high and changes rapidly due to tidal flood and ebb during a tidal cycle. The combined utilization of Terra and Aqua MODIS data can capture the tidal cycle induced dynamic of surface water SSC. This study demonstrated that MODIS 250 m daily products and ANN model are useful for monitoring surface SSC dynamic within high-energy coastal water environments.  相似文献   

15.
The use of Synthetic Aperture Radar interferometry (InSAR) in northern Chile, one of the most seismically active regions in the world, is of great importance. InSAR enables geodesists not only to accurately measure Earth’s motions but also to improve fault slip map resolution and our knowledge of the time evolution of the earthquake cycle processes. Fault slip mapping is critical to better understand the mechanical behavior of seismogenic zones and has fundamental implications for assessing hazards associated with megathrust earthquakes. However, numerous sources of errors can significantly affect the accuracy of the geophysical parameters deduced by InSAR. Among them, atmospheric phase delays caused by changes in the distribution of water vapor can lead to biased model parameter estimates and/or to difficulties in interpreting deformation events captured with InSAR. The hyper-arid climate of northern Chile might suggest that differential delays are of a minor importance for the application of InSAR techniques. Based on GPS, Moderate Resolution Imaging Spectroradiometer (MODIS) data our analysis shows that differential phase delays have typical amplitudes of about 20 mm and may exceptionally exceed 100 mm and then may impact the inferences of fault slip for even a Mw 8 earthquakes at 10% level. In this work, procedures for mitigating atmospheric effects in InSAR data using simultaneous MODIS time series are evaluated. We show that atmospheric filtering combined with stacking methods are particularly well suited to minimize atmospheric contamination in InSAR imaging and significantly reduce the impact of atmospheric delay on the determination of fundamental earthquake parameters.  相似文献   

16.
李诺  韩其飞  马英  黄晓东 《冰川冻土》2022,44(6):1740-1747
Snow cover is of great hydrological,ecological,and climatic significance in the Tibetan Plateau. MODIS snow products are widely used at present but are seriously affected by clouds. Scholars at home and abroad have developed a variety of cloud removal products for raw MODIS daily snow products,but the accuracy of these products in the Tibetan Plateau has not been evaluated comprehensively. Therefore,this paper uses Landsat-8 data with high resolution as the reference value to conduct systematic verification of three datasets of cloud-free snow products released on a daily basis. The results show that compared with the two sets of products (M*D10A1GL06 and MODIS_Dysno_Cloudfree),which are produced based on raw MODIS daily snow cover product realized by NSIDC(National Snow and Ice Data Center),the MODIS CGF SCE product produced based on MODIS surface reflectance data,has a great advantage in snow identification accuracy. The MODIS CGF SCE product optimized the NDSI threshold for different land cover types. Although the accuracy of snow identification was significantly improved,the problem of large snow identification error in forest areas was still not effectively resolved,and there was a high underestimate error. © 2022 Science Press (China).  相似文献   

17.
基于MODIS双卫星积雪遥感数据的积雪日数空间分布研究   总被引:4,自引:2,他引:2  
刘俊峰  陈仁升 《冰川冻土》2011,33(3):504-511
结合Terra和Aqua卫星的积雪产品,获取2001-2006年全国新的逐日积雪覆盖数据,并利用此数据通过两种方案获取了全国积雪日数分布,对比发现3大稳定积雪区中,新疆地区积雪稳定性及连续性最好,东北其次,而青藏高原地区最差;通过595个气象台站年积雪日数数据分区分不同植被类型修正MODIS获得的年积雪日数.结果表明:...  相似文献   

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