Application of Distributed Temperature Sensing for coupled mapping of sedimentation processes and spatio‐temporal variability of groundwater discharge in soft‐bedded streams

The delineation of groundwater discharge areas based on Distributed Temperature Sensing (DTS) data of the streambed can be difficult in soft‐bedded streams where sedimentation and scouring processes constantly change the position of the fibre optic cable relative to the streambed. Deposition‐induced temperature anomalies resemble the signal of groundwater discharge while scouring will cause the cable to float in the water column and measure stream water temperatures. DTS applied in a looped layout with nine fibre optic cable rows in a 70 × 5 m section of a soft‐bedded stream made it possible to detect variability in streambed temperatures between October 2011 and January 2012. Detailed monthly streambed elevation surveys were carried out to monitor the position of the fibre optic cable relative to the streambed and to quantify the effect of sedimentation processes on streambed temperatures. Based on the simultaneous interpretation of streambed temperature and elevation data, a method is proposed to delineate potential high‐groundwater discharge areas and identify deposition‐induced temperature anomalies in soft‐bedded streams. Potential high‐discharge sites were detected using as metrics the daily minimum, maximum and mean streambed temperatures as well as the daily amplitude and standard deviation of temperatures. The identified potential high‐discharge areas were mostly located near the channel banks, also showing temporal variability because of the scouring and redistribution of streambed sediments, leading to the relocation of pool‐riffle sequences. This study also shows that sediment deposits of 0.1 m thickness already resulted in an increase in daily minimum streambed temperatures and decrease in daily amplitude and standard deviation. Scouring sites showed lower daily minimum streambed temperatures and higher daily amplitude and standard deviation compared with areas without sedimentation and scouring. As a limitation of the approach, groundwater discharge occurring at depositional and scouring areas cannot be identified by the metrics applied. Copyright © 2015 John Wiley & Sons, Ltd.     

Estimating uncertainty associated with water stages from a single SAR image

It is the goal of remote sensing to infer information about objects or a natural process from a remote location. This invokes that uncertainty in measurement should be viewed as central to remote sensing. In this study, the uncertainty associated with water stages derived from a single SAR image for the Alzette (G.D. of Luxembourg) 2003 flood is assessed using a stepped GLUE procedure. Main uncertain input factors to the SAR processing chain for estimating water stages include geolocation accuracy, spatial filter window size, image thresholding value, DEM vertical precision and the number of river cross sections at which water stages are estimated. Initial results show that even with plausible parameter values uncertainty in water stages over the entire river reach is 2.8 m on average. Adding spatially distributed field water stages to the GLUE analysis following a one-at-a-time approach helps to considerably reduce SAR water stage uncertainty (0.6 m on average) thereby identifying appropriate value ranges for each uncertain SAR water stage processing factor. For the GLUE analysis a Nash-like efficiency criterion adapted to spatial data is proposed whereby acceptable SAR model simulations are required to outperform a simpler regression model based on the field-surveyed average river bed gradient. Weighted CDFs for all factors based on the proposed efficiency criterion allow the generation of reliable uncertainty quantile ranges and 2D maps that show the uncertainty associated with SAR-derived water stages. The stepped GLUE procedure demonstrated that not all field data collected are necessary to achieve maximum constraining. A possible efficient way to decide on relevant locations at which to sample in the field is proposed. It is also suggested that the resulting uncertainty ranges and flood extent or depth maps may be used to evaluate 1D or 2D flood inundation models in terms of water stages, depths or extents. For this, the extended GLUE approach, which copes with the presence of uncertainty in the observed data, may be adopted.     

森林植被动态变化信息的遥感检测

本文以云南省泸水县为例,探讨了利用遥感技术从LANDSAT TM图像中检测森林植被动态变化的方法。该方法,首先对1988年的LANDSAT TM图像进行几何校正,并将1999年的L ANDSAT TM图像与其配准。其次,分别从1988年和1999年的L ANDSAT TM图像中提取植被指数。然后,将1999年的植被指数减去1988年的植被指数,得到植被指数差值图像。最后,利用目视识别的方法,在植被指数差值图像上确定森林植被增加和减少的阈值,从而提取出森林植被的动态变化信息。由于云和雪的影响,造成一些伪变化的信息,为此,进一步将云和雪的信息提取出来,并将这部分伪变化信息掩模掉。该研究表明,此法可以简单有效地将森林植被的动态变化信息予以检测.     

基于Landsat7ETM+的青岛地区热岛效应反演及分析

用水源热泵技术,将矿井回风、矿井水、洗浴废水、冷却水（风）中的低品位废热转变为供热热能。该热泵热回收技术系统可靠、经济效益好,可达到节能减排的目的。该文分析了矿井系统中的废热类型和应用原理,给出了矿井回风、矿井水、洗浴废水、冷却水（风）废热回收量的计算方法,并分析了山东济宁梁宝寺煤矿矿井废热回收供热系统设计实例。认为该技术的应用为矿区提供了生产、生活必备的热源和热水,节约了生产成本,保障了煤矿企业的绿色生产,改善了矿区周围的生活环境。     

遥感技术在全球环境变化研究中的作用

具有快速、多波段、周期性、大面积覆盖等观测能力的空间遥感技术,是全球环境变化研究中不可替代的重要手段。随着遥感技术在国际上的蓬勃发展,遥感技术在我国全球环境变化研究中也开始得到了广泛的应用。简述了遥感技术在我国土地覆盖、森林与草场、海洋调查与灾害监测方面的应用情况以及所取得的成果。这些研究为遥感技术在全球环境变化研究中的深入应用奠定了基础。     

三维遥感影像数据库系统的研究与实现

介绍了以3S技术为手段，采用目前较为先进的三层结构体系，使用Dephi开发工具，结合数据库技术、遥感技术，尝试以数据库SQL Server组织、存储、管理海量的中巴资源卫星遥感影像数据和新疆1：10万地形矢量数据，应用OpenGL技术实现海量三维遥感影像数据的三维立体显示浏览，进而完成全疆三维遥感影像库建库和三维显示及漫游．     

汶川地震重灾区泥石流沟内崩滑物空间分布的RS-GIS定量方法

汶川地震在山区引发大量崩塌、滑坡,形成大量的固体松散碎屑物质堆积在沟谷内(CLCAR,崩滑碎屑区),使得地震山区泥石流活动性增强。以岷江上游四川省汶川县银杏乡、映秀镇的15条泥石流沟的SPOT遥感影像为基础,利用GIS技术对CLCAR空间分布进行分析。建立CLCAR与流域高程、主沟侧距和沟口纵距的分布函数T(x)、M(x)和G(x),对CLCAR的空间分布特征进行描述;并计算其积分(DT、DM和DG)作为CLCAR空间分布特征的定量化参数。结果表明,函数T(x)、M(x)和G(x)能够较全面描述CLCAR的空间分布特征,DT、DM和DG能够作为CLCAR空间分布特征的定量化参数。泥石流沟谷内CLCAR的空间分布对泥石流的形成及规模具有一定的影响;在对灾区泥石流研究时有必要考虑泥石流沟内CLCAR空间分布特征。     

天山地区遥感解译及铀矿化地质特征

本文通过卫星照片解译对天山地区的地层进行了划分,尤其是通过线性构造的解译把天山地区分成了若干个不同性质的地块,并对构造规模进行了分级。此外,还讨论了新老构造的继承关系,构造与岩体之间的相互依存关系等。本文又通过环形体的解译进一步确定了火山岩的喷发期次、活动规模及其与铀矿化的关系。通过对花岗岩体侵入期次和相带的划分,进而在解译中配合四道能谱测量判读标志来分析不同影象地质体的可能含铀丰度。另外还探讨了褶皱构造各要素的半定最估算的可能性。     

Use of multitemporal remote sensing data for mapping the Alfios River network changes from 1977 to 2000

Alfios is the biggest river of the Peloponnese and the ninth longest river in Greece. It drains an area of almost 2575 km² in Western Peloponnese and discharges at Kiparissiakos Gulf. Due to its extent, the Alfios basin presents complex physiography and geomorphology.

During the last 50 years, major direct human activities have had an important impact on the river network shape and on the valley floor morphology. The most important human activities were the channel straightening caused by meander cut-offs in 1950, the construction of two dams: the Ladonas dam in 1955 and the Flokas dam in 1968 and the illegal in-stream gravel extraction that started in the 1960s and continues until today. As a result, the Alfios riverbed has presented very rapid vertical and horizontal (lateral) erosion and significant changes to its network shape. The drainage network follows a straighter course, the number of meanders has been reduced and the seventh order branch is deeply incised. Besides the morphological impacts to the river network shape there are also serious economic damages caused by human activity. During the winter of 1999, the Flokas dam bridge was closed for a long period due to damages at its foundation caused by the heavy rain and illegal gravel extraction. Transportation between the villages in the area became extremely difficult and time consuming and the cost of the repairs was estimated at 500 000 euros. In this study, there is an effort to map the network shape transformation for the period 1977–2000 using multitemporal and multisensor satellite images. One Landsat MSS image, three Landsat TM images, two Landsat ETM images, and one Terra ASTER image have been orthorectified and processed in order to cover the specific period. Principal Component Analysis (PCA) method and Geographical Information System (GIS) techniques have been applied to map the changes in the Alfios River channel. The drainage network straightening and the cut-off of five big meanders were detected and mapped. These changes occurred between 1986 and 2000.