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101.
Speckle noise in synthetic-aperture radar (SAR) images severely hinders remote sensing applications; therefore, the appropriate removal of speckle noise is crucial. This paper elaborates on the multilayer perceptron (MLP) neural-network model for SAR image despeckling by using a time series of SAR images. Unlike other filtering methods that use only a single radar intensity image to derive their parameters and filter that single image, this method can be trained using archived images over an area of interest to self-learn the intensity characteristics of image patches and then adaptively determine the weights and thresholds by using a neural network for image despeckling. Several hidden layers are designed for feedforward network training, and back-propagation stochastic gradient descent is adopted to reduce the error between the target output and neural-network output. The parameters in the network are automatically updated in the training process. The greatest advantage of MLP is that once the despeckling parameters are determined, they can be used to process not only new images in the same area but also images in completely different locations. Tests with images from TerraSAR-X in selected areas indicated that MLP shows satisfactory performance with respect to noise reduction and edge preservation. The overall image quality obtained using MLP was markedly higher than that obtained using numerous other filters. In comparison with other recently developed filters, this method yields a slightly higher image quality, and it demonstrates the powerful capabilities of computer learning using SAR images, which indicate the promising prospect of applying MLP to SAR image despeckling. 相似文献
102.
以内蒙古自治区开鲁县玉米作物为研究对象,将生育期内玉米遥感影像所提取的多种植被指数和实地采样点的测产数据作为训练值,利用BP(back propagation)神经网络和遗传算法优化BP(GA-BP)神经网络估产模型,得出网络预测的玉米产量数值。通过决定系数R 2和均方根误差RMSE,比较实测产量与预测产量之间的精度,BP神经网络模型R^2为0.8452,RMSE(%)为28.37;遗传算法优化BP神经网络模型R^2为0.9850,RMSE(%)为6.70,表明遗传算法优化BP神经网络估产模型具有一定可行性和可信度。 相似文献
103.
基于日本KiK-net强震动观测记录,以提高计算震中方位角的准确性为目标,研究记录参量(加速度、速度、位移)、计算时间窗和滤波频带对偏振分析方法计算震中方位角结果的影响。结果表明,在该研究的地震数据条件下,采用位移记录、计算时间窗为1 s、滤波频带取0.1~20 Hz时,可以获得最佳的震中方位角计算结果,震中方位角的计算偏差为45°时所占比例为88%。 相似文献
104.
The Shenandoah Watershed Study (established in 1979) and the Virginia Trout Stream Sensitivity Study (established in 1987) serve to increase understanding of hydrological and biogeochemical changes in western Virginia mountain streams that occur in response to acidic deposition and other ecosystem stressors. The SWAS-VTSSS program has evolved over its 40+ year history to consist of a temporally robust and spatially stratified monitoring framework. Currently stream water is sampled for water quality bi-hourly during high-flow events at three sites and weekly at four sites within Shenandoah National Park (SHEN), and quarterly at 72 sites and on an approximately decadal frequency at ~450 sites within the wider western Virginia Appalachian region. Stream water is evaluated for pH, acid neutralizing capacity (ANC), base cations (calcium, magnesium, sodium and potassium ion), acid anions (sulphate, nitrate and chloride), silica, ammonium, and conductivity with a subset of samples evaluated for monomeric aluminium and dissolved organic carbon. Hourly stream discharge (four sites) and in-situ measurements of conductivity, water and air temperature (three sites) are also measured within SHEN. Here we provide an overview and timeline of the SWAS-VTSSS stream water monitoring program, summarize the field and laboratory methods, describe the water chemistry and hydrologic data sets, and document major watershed disturbances that have occurred during the program history. Website links and instructions are provided to access the stream chemistry and time-series monitoring data in open-access federal databases. The purpose of this publication is to promote awareness of these unique, long-term data sets for wider use in catchment studies. The water chemistry and hydrologic data can be used to investigate a wide range of biogeochemical research questions and provide key inputs for models of these headwater stream ecosystems. SWAS-VTSSS is an ongoing program and quality assured data sets are uploaded to the databases annually. 相似文献
105.
Dynamic,discontinuous stream networks: hydrologically driven variations in active drainage density,flowing channels and stream order 下载免费PDF全文
Despite decades of research on the ecological consequences of stream network expansion, contraction and fragmentation, surprisingly little is known about the hydrological mechanisms that shape these processes. Here, we present field surveys of the active drainage networks of four California headwater streams (4–27 km2) spanning diverse topographic, geologic and climatic settings. We show that these stream networks dynamically expand, contract, disconnect and reconnect across all the sites we studied. Stream networks at all four sites contract and disconnect during seasonal flow recessions, with their total active network length, and thus their active drainage densities, decreasing by factors of two to three across the range of flows captured in our field surveys. The total flowing lengths of the active stream networks are approximate power‐law functions of unit discharge, with scaling exponents averaging 0.27 ± 0.04 (range: 0.18–0.40). The number of points where surface flow originates obey similar power‐law relationships, as do the lengths and origination points of flowing networks that are continuously connected to the outlet, with scaling exponents averaging 0.36–0.48. Even stream order shifts seasonally by up to two Strahler orders in our study catchments. Broadly, similar stream length scaling has been observed in catchments spanning widely varying geologic, topographic and climatic settings and spanning more than two orders of magnitude in size, suggesting that network extension/contraction is a general phenomenon that may have a general explanation. Points of emergence or disappearance of surface flow represent the balance between subsurface transmissivity in the hyporheic zone and the delivery of water from upstream. Thus the dynamics of stream network expansion and contraction, and connection and disconnection, may offer important clues to the spatial structure of the hyporheic zone, and to patterns and processes of runoff generation. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献
106.
107.
地下水质动态变化及其趋势研判是区域水资源调配决策的重要依据.本文以全国2007~2017年国家级地下水监测网水质数据为基础,结合典型地区的代表性监测组分超标特征及动态趋势,开展了地下水质动态变化过程研究,结果表明:全国地下水监测中以Ⅳ类水质点占比最大,其次为Ⅱ类水质点;Ⅰ~Ⅲ类水质点数量较少,而且占比以降低为主,Ⅳ和Ⅴ类地下水监测点逐渐增加,其中Ⅳ类水质点的比例由40.50%增加至51.45%;全国地下水质主要的超标组分为pH、总硬度、总溶解性固体、硫酸盐、氯化物、高锰酸钾指数、铁、锰、氟化物、"三氮".以华北地区、华东地区、西南地区和西北地区为代表,分析研究典型地区地下水质的动态变化过程及其影响因素,结果显示,在地下水位变化较大的地区,地下水质状况随着地下水位变化明显,在地下水位波动较小的地区,地下水质状况也基本上变化较小.研究成果对于科学评价地下水资源、合理制定区域地下水开发利用规划、防治地下水污染等具有一定的指导作用. 相似文献
108.
基于SBAS- InSAR技术的西藏雄巴古滑坡变形特征 总被引:2,自引:0,他引:2
大型古滑坡及其强变形和复活灾害日益频发,已造成重大灾害事件和严重损失.古滑坡的发育、变形影响因素多、机理复杂和识别难度大,本文采用SBAS-InSAR技术,结合遥感解译,获取了金沙江西岸雄巴村古滑坡2017年10月至2020年6月间的地表变形特征.研究表明,雄巴古滑坡方量巨大,可达2.6×108~6×108 m3,根据InSAR形变监测结果,滑坡前缘发育H1和H2等2个大型强变形区,变形级别分为4级:极强变形区(-132.1 mm/a≤VLOS<-58.5 mm/a)、强变形区(-58.5 mm/a≤VLOS<-20.3 mm/a)、中等变形区(-20.3 mm/a≤VLOS<l.8 mm/a)和弱变形区(1.8 mm/a≤VLOS<55.4 mm/a);其中H1变形区,最大累计变形量达203.8 mm,H2变形区变形量达302.1 mm.受金沙江河流侵蚀,特别是上游75 km的2018年10月和11月白格2次滑坡-堵江-溃坝-泥石流/洪水灾害链对雄巴古滑坡坡脚的侵蚀,加剧了雄巴古滑坡的变形,其中H1变形区的蠕滑速率是白格滑坡灾害链发生前的14~16倍,灾害链引起H2区发生变形,雄巴古滑坡整体呈现牵引式复活状态.基于SBAS-InSAR的形变监测结果得到了野外的验证,目前H1变形区前缘出现局部垮塌,滑体中横向和竖向裂缝发育,局部呈现拉张状态.雄巴古滑坡目前呈现持续变形中,部分地段为加速变形,雄巴古滑坡发生大规模复活将导致堰塞金沙江-溃坝-泥石流灾害链,应加强雄巴古滑坡的空—天—地一体化监测预警,为该区正在规划建设的重大工程和流域性地质安全风险提供技术支撑和科学依据. 相似文献
109.
1948年川西理塘M7. 3地震是川滇菱形块体内部近一个世纪以来发生的震级最大的走滑型地震。在对此次同震地表破裂进行详细调查基础上,利用差分GPS对同震地表破裂带进行了精确测量与统计分析。结果揭示该地表破裂的现存长度为36 km,北端始于无量河以北,往东南沿藏坝盆地北东缘、德巫盆地东南缘,延伸至德巫乡北,分为南、北两段,而在交德附近存在约3 km长的地表破裂空区。对同震地表破裂的线密度和同震水平位错量进行分段统计后揭示,此次地震的宏观震中应位于德巫盆地中部交德东南约4~5 km处。对理塘同震地表破裂的Riedel剪切分析结果指示,该破裂带主要由R剪切组成,以发育雁列状排列的挤压鼓包(Push- up)为主要特征,伴有少量R′剪切与T裂缝,缺少P型与X型剪切。其中R剪切占95%以上,其在藏坝段(北段)的优势方向为318°,德巫段(南段)为315°,整条地表破裂带的R剪切平均方向为316°。同时发现,此次地震形成的雁列状挤压鼓包主要以平缓的“弧形”为主,这与1981年道孚MS 6. 9地震和2010年玉树MS 7. 1地震地表破裂带中出现大量反“S”形挤压鼓包有所不同,推断与走滑断裂滑动速率密切相关。沿强滑动速率走滑断层地震破裂带的Riedel剪切发育会更为完善,挤压鼓包也更发育,易形成反“S”形,反之则以平缓的“弧形”为特征。综合分析认为,1948年理塘同震地表破裂带的展布主要受藏坝盆地与德巫盆地控制,而且藏坝段(北段)与德巫段(南段)的R剪切方向存在偏差,这可能与两个拉分盆地的发育程度有关。 相似文献
110.
Roseanna J. Mayfield Peter G. Langdon C. Patrick Doncaster John A. Dearing Rong Wang Gaute Velle Kimberley L. Davies Stephen J. Brooks 《第四纪科学杂志》2021,36(3):360-376
Much is known about how climate change impacts ecosystem richness and turnover, but we have less understanding of its influence on ecosystem structures. Here, we use ecological metrics (beta diversity, compositional disorder and network skewness) to quantify the community structural responses of temperature-sensitive chironomids (Diptera: Chironomidae) during the Late Glacial (14 700–11 700 cal a bp ) and Holocene (11 700 cal a bp to present). Analyses demonstrate high turnover (beta diversity) of chironomid composition across both epochs; however, structural metrics stayed relatively intact. Compositional disorder and skewness show greatest structural change in the Younger Dryas, following the rapid, high-magnitude climate change at the Bølling–Allerød to Younger Dryas transition. There were fewer climate-related structural changes across the early to mid–late Holocene, where climate change was more gradual and lower in magnitude. The reduced impact on structural metrics could be due to greater functional resilience provided by the wider chironomid community, or to the replacement of same functional-type taxa in the network structure. These results provide insight into how future rapid climate change may alter chironomid communities and could suggest that while turnover may remain high under a rapidly warming climate, community structural dynamics retain some resilience. 相似文献