Sea erosion at Ada Foah: assessment of impacts and proposed mitigation measures

Sea erosion is a serious threat to life and property in coastal towns. The coastline of Ada Foah has been facing sea erosion and occasional flooding for several decades. This research investigated the socio-economic and environmental impacts of these geomorphic processes using social survey methods of data collection and shoreline change analysis. The main research tools used include questionnaire survey, interviews and Digital Shoreline Analysis System (DSAS) 4.2 software using extracted shorelines of 1926 ground survey sheet and 2008 Landsat ETM+ image to determine shoreline change between the periods. The research identified some environmental and socio-economic impacts of the sea erosion on the coastal community, and these include the destruction of coastal ecosystems and infrastructure such as offices of institutions, school blocks and roads. The ramifications of these problems include homelessness, unemployment and poverty, which compel victims to migrate. Results of shoreline change analysis indicate that, the Ada Foah shoreline has been receding since 1926 to date with a mean change in shoreline of 280.49?m and an average annual rate of 3.46?m/year. To protect the coastline from the battering sea, a sea defence project, comprising sand nourishment and the construction of groynes, is being undertaken.     

Monitoring shoreline change on Djerba Island using GIS and multi-temporal satellite data

In the absence of a generic approach to study shoreline changes, this research focus on the development of a generic methodology to detect, measure, analyze, and predict shoreline changes to manage coastal environment. The unique strength of this approach is that it incorporates image processing techniques, remotely sensed derived data into a GIS to analyze measure, and predict and visualize shoreline changes. It is independent from the study region or the remote sensing data. This methodology uses Speeded Up Robust Feature to detect the study regions from satellite images automatically. Also, it proposes a model of shoreline using the Canny edge detector on Normalized Difference Water Index image. To measure the changes, Digital Shoreline Analysis System extension of ArcGIS was used and the End Point Rate (EPR) and Linear Regression Rate (LRR) approaches were used on the modeled shoreline. The EPR is calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline. A LRR statistic can be determined by fitting a least-squares regression line to all shoreline points for a particular transect. Three regions of the island of Djerba in Tunisia were selected for this study; Rass Errmall, El Kastil, and Aghir. Accretions as well as erosion processes were observed in the study areas between 1984 and 2009. The average of the erosion was around ?6.95 m/year in Aghir. The average of erosion is around ?4.09 m/year and accretion trend is around +11.7 m/year in Rass Errmall. El Kastil was under a remarkable accretion with 21.14 m/year during the same period.     

Investigating the application of pixel-level and product-level image fusion approaches for monitoring surface water changes

The aim of this paper was to investigate the suitability of the pixel-level and product-level image fusion approaches to detect surface water changes. In doing so, firstly, the principal component analysis technique was applied to Landsat TM 2010 multispectral image to generate the PC components. Several pixel-level image fusion techniques were then performed to merge the Landsat ETM+ 2000 panchromatic with the PC1PC2PC3 band combination of Landsat TM 2010 imagery to highlight the surface water changes between the two images. The suitability of the resulting fused images for surface water change detection was evaluated quantitatively and visually. Finally, the support vector machine (SVM) technique was applied to the qualified fused images to map the highlighted changes. Furthermore, a product level fusion (PLF) approach based on various satellite-derived indices was employed to detect the surface water changes between ETM+ 2000 and TM 2010 images. The accuracy of the resulting change maps was assessed based on a reference change map produced using visual interpretation. The results demonstrated the effectiveness of the proposed approaches for surface water change detection, especially using the Gram Schmidt-SVM, PLF-NDWI, and PLF-NDVI methods which improved the accuracy of change detection over 99.70 %.     

三沙湾海岸线时空演变

海岸带是海陆之间的过渡区域,是人类活动和经济发展较为活跃的地区。海岸线时空演变研究对海岸带资源开发与保护有重要意义,但国内外对三沙湾海岸线时空演变研究较少。本文基于25 a的卫星遥感资料,解译出4个时相的三沙湾海岸线,定量分析海岸线变化趋势,并研究海岸线演变的主要因素。研究表明,25 a的三沙湾海岸线总体长度呈增长趋势：1988-1996年岸线总长度变化不大;2003年较1996年增加约6 947 m、增长约11.5%;2003-2013年岸线总长度增加较为明显,2013年较2003年增加约24 128 m、增长约39.6%,其增速约为1996-2003的3.4倍。砂质岸线长度基本稳定,基岩和泥质岸线长度有所减少,人工岸线在逐年增加,这主要是滩地围垦、港口建设和海岸人工改造等人为因素造成的。     

Monitoring of the shoreline change using remote sensing and GIS: a case study of Al Hawasnah tidal inlet, Al Batinah coast, Sultanate of Oman

One of the most effective means of monitoring the cumulative effects of natural processes and human activities on the shoreline is to study the patterns of shoreline change over time. An attempt has been made to study the shoreline changes along Al Batinah, Sultanate of Oman, at the outlet of Wadi Al Hawasnah. The previous studies showed that Al Batinah coastline is generally stable except where coastal engineering structures like harbors, corniches, ports, and recharge dams are present. Remote sensing and GIS techniques are widely used in the coastal geomorphology because they provide the best sources to study the long-term shoreline changes. Rapid shoreline changes at the mouth of Wadi Al Hawasnah have been measured using proxy data derived mainly from satellite images from 2000 to 2005. The mouth of Wadi Al Hawasnah is now completely blocked after the construction of recharge dam at the upper stream of Wadi Al Hawasnah and Wadi Bani Umar in 1995. There has been no discharge to the sea after the construction of the dam. Furthermore, beach profiles of this area show erosion close to the south of the tidal inlet and accretion further south. The shorelines in the northwest of the tidal inlet remained stable.     

粤港澳大湾区1975—2018年海岸线时空演变与影响因素分析

提要:海岸带是陆地向海洋延伸的过渡地带,是人口最为密集、人类活动最频繁的区域,全球超过50％的人口和60％的GDP总量集聚在离海岸线不足100 km的区域.海岸线对海平面上升、海岸侵蚀、港湾淤积、湿地生态资源、近海海域环境等具有重要的指示作用.本研究利用遥感影像获取了粤港澳大湾区(以下简称大湾区)1975—2018年间...     

Mapping coastal erosion at the Nile Delta western promontory using Landsat imagery

A set of six Landsat satellite images with 5–9 years apart was used in a post-classification analysis to map changes occurred at Rosetta promontory between 1973 and 2008 due to coastal erosion. Spectral information were extracted from two multi-spectral scanner (MSS) images (1973 and 1978), three thematic mapper (TM) images (1984, 1990, and 1999), and one enhanced thematic mapper plus (ETM+) image (2008). To estimate the quantity of land loss in terms of coastal erosion, a supervised classification scheme was applied to each image to highlight only two classes: seawater and land. The area of each class was then estimated from the number of pixels pertaining to this class in every image. In addition, the shoreline position was digitized to address retreat/advance pattern throughout the study period. Results showed that Rosetta promontory had lost 12.29 km² of land between 1973 and 2008 and the shoreline withdrew southward about 3.5 km due to coastal erosion. Most land loss and shoreline retreat occurred between 1973 and 1978 (0.55 km²/year and 132 m/year, respectively). Coastal protection structures were constructed successively at the promontory. These structures have considerably contributed to reduce coastal erosion; however, they promoted downdrift erosion.     

Monitoring and analysis of changes in a wetland landscape in Xingzi county

Wetlands play an important role in water conservation, environmental protection, and biodiversity conservation. Remote sensing is an economical and efficient technique for wetland monitoring which can limit disturbance in sensitive areas and support wetland conservation. In this paper, we used three phases of Thematic Mapper/Enhanced Thematic Mapper plus (TM/ETM+) remote sensing images from October 1989, October 1999, and October 2009 to study wetlands in Xingzi County. The images were segmented using the object-oriented remote sensing image interpretation software eCognition Developer 8.64, then segmented images were classified by slope, digital elevation model (DEM) data, Normalized Difference Vegetation Index (NDVI), Specific Leaf Area Vegetation Index (SLAVI), and Land and Water Masks (LWM) index to produce land type classification maps. Land use change information was obtained by analyzing the superposition of two classification maps of the wetland area from different years. The results showed that landscape patches in Xingzi County displayed fragmentation in their spatial distribution over time. Based on an index of changes in landscape patches, the fastest growing landscape type is grassland, while the fastest decreasing type is irrigated land. Dominant driving factors of changes in Xingzi County’s wetland landscape are population growth and policy changes.     

海南岛西北部海岸线时空变化分析

基于遥感与GIS技术,利用高空间分辨率遥感卫星SPOT-5和GF-2影像数据,对海南岛西北部地区海口市南渡江—东方市2005年和2016年2个时期的海岸线进行人机交互解译,并对其10 a来的时空变化特征进行了分析。结果表明: 10 a间,海南岛西北部海岸线时空变化显著,主要影响因素为人工开发建设; 人工海岸线增幅达到113%,其占比由2005年的24.3%上升至2016年的51.6%; 除部分淤泥质海岸线和砂质海岸线转化为人工海岸线外,自然海岸线以侵蚀为主,局部地区有少量淤积。不同地区海岸线变化特点不同: 儋州市和澄迈县海岸线资源丰富,开发力度较大; 临高县和昌江黎族自治县自然海岸线以侵蚀为主,淤积少; 东方市和澄迈县海岸线侵蚀较少,较易淤积。分析结果可为海南岛西北部海岸线调查、开发和保护提供一定的科学依据。     

CPF变化对Landsat TM/ETM+辐射校正结果的影响

随着时间的推移,卫星传感器的老化会使得原有的辐射定标参数文件(CPF)失效。最典型的当属Landsat-5卫星,该卫星自1984年发射以来,已经进行了多次CPF修正;而Landsat-7卫星的CPF也经过了数次修改,以保证辐射校正结果的准确性。以Landsat TM/ETM+遥感影像为例,分别以2003、2009年的CPF对它们进行辐射校正,并对结果进行对比。结果表明,除ETM+的绿光波段外,TM、ETM+影像基于2009年CPF计算的各波段均值都要小于2003年。而这一变化也使得由此计算的指数产生差异：归一化植被指数(NDVI)间的差异可达0.48%,建筑用地指数(IBI)间的差异可达5.94%。     

Geomorphological evolution of marine heads on the eastern coast of Red Sea at Saudi Arabian region,using remote sensing techniques

The eastern coast of the Red Sea is characterized by the presence of numerous marine heads that differ in terms of shape, size, geological setting, structures, and composition. This difference directly affects geomorphological evolution. In the present study, Ras Al-Shabaan was chosen as a most important area in this coast. Field investigations supported with photo-interpretation techniques were performed for studying of geomorphological features of Ras Al-Shabaan. On the other hand, the remotely sensed imagery data has been used extensively in the identification of geological and geomorphological details of Ras Al-Shabaan. The geomorphological studies showed that depositional processes of wadis and channels are predominant at the Ras Al-Shabaan coast. The changes in geomorphological and geological data of Ras Al-Shabaan were identified by remote sensing image software. Two Landsat ETM+ images from 1990 and 2010 have been processed. The analysis of remote sensing data combined with field investigations and reference data were used to monitor, delineate, and describe the geomorphological changes of Ras Al-Shabaan coast during proceedings of supervised classification of ground units. Hence, the change detection statistics have been used in ground units. Geological and geomorphological maps were digitized by using ArcGIS software. Remote sensing techniques and geographic information system (GIS) were employed in order to monitor the results of changes occurred in the line of the coast. The satellite image processing and water index data were transferred to the ArcGIS program to draw the coast lines and to stand on the changes occurred. Thereby, it was possible to identify the most prominent landforms and geomorphic units of this area. Results showed that platforms, barriers, rocky heads, islands, coral reefs, submerged reefs, tidal channels, dissolution grooves, sabkhas, inlet system, waves work, and shoreline processes were included in coastal prominent landforms. The circumstances that formed this coast are not permanent, as it is changing rapidly and continuously due to erosion and uplift processes.     

New algorithms for shoreline monitoring from coastal video systems

Video systems have become widely used all around the world in coastal monitoring strategies, allowing both high temporal and spatial sampling frequency, with low logistic and costs efforts. The present paper deals with a new tool for coastal images processing, aimed at the automatic shoreline detection and data analysis. The tool is composed by a shoreline detection routine implemented in a web-application, addressed at images processing (i.e. shoreline extraction and geo-rectification), data analysis and sharing results about beach actual state and shore evolution in quasi-real time. The Shoreline Detection Model (SDM) is based on a new algorithm, implementing image-processing procedures, which allows extracting the sea/land boundary from automatic segmented Timex images. The SDM calibration and validation has been performed on different coastal images derived from a video monitoring system installed at Alimini (Lecce, IT) in 2005, by comparing automatic shoreline contours with the manual detected ones. Moreover, in December 2015, new video monitoring systems were installed in South Italy (Porto Cesareo and Torre Canne, Apulia region), at sandy beaches affected by erosion phenomena. The application of the SDM on images recorded by the new systems has allowed testing the model feasibility at sites characterized by different morphological features and geographical exposition. The present describes in detail the SDM algorithm and the image processing procedures used. The results of the model calibration and validation performed at Alimini and the tests performed at Porto Cesareo on first images are reported.     

辽宁省海岸线近百年变迁特征分析

基于RS和GIS技术,利用多期遥感影像数据,结合地形图、历史海图,定量分析了辽宁省海岸线近百年变迁特征.结果表明,自1909年以来,辽宁省海岸线的构型和长度发生了很大变化,陆地面积也相应增加.在全省范围内,从时序变化看,1909~1932年期间,海岸线变化最大,陆地面积增加最多,年增加速率也较快,1950~1980年期间,海岸线变化速率最小.从空间上看,各地段的岸线变化极不均衡,主要变化区域是辽东湾北部淤泥质海岸,大连附近的基岩岸段变化最小,最大的变化区段是双台子河段、复州湾和大洋河附近.     

Detecting temporal shoreline changes and erosion/accretion rates,using remote sensing,and their associated sediment characteristics along the coast of North Sinai,Egypt

The variation during 15 years in the shoreline along the North Sinai coast has been determined by analysing TM and ETM true colour Landsat images from 1986 to 2001. The analyses identified erosion and accretion patterns along the coast. The shoreline has advanced west of El Bardawil inlet1, El Bardawil inlet2, and El Arish Harbour, where the wave-induced littoral transport has been halted by jetty construction and beach growth rates are 20,681, 69,855 and 20,160 m²/year, respectively. On the downdrift side of the constructed jetties to the east, the shoreline is retreating and beaches erode at rates of −71,710, −69,968, and −11,760 m²/year, respectively. Sedimentological analyses of beach sediment samples have indicated selective transport of heavy minerals according to their densities and grain sizes. A general correspondence has been found between variation in grain size, sorting and heavy-mineral content of beach sand and the patterns of shoreline changes.     

Utilizing image processing techniques in lithologic discrimination of Buwatah area, Western Arabian Shield

The main task of this article is the evaluation of the IHS color transformation fusion, color composite ratios, and principal component analysis techniques for lithologic discrimination of the basement rocks exposed at Buwatah area, Western Arabian Shield, Saudi Arabia. Landsat ETM+ images were prepared and used to perform this task using PCI Geomatica software. IHS fusion technique was conducted through four main processing steps: (1) registration of the multispectral image (7, 4, and 2 in RGB) to the panchromatic image and then resample it to the same spatial resolution as that of the panchromatic image; (2) transformation of the three multispectral bands from RGB to IHS space; (3) substitution of the intensity value from the high spatial resolution panchromatic band; and finally (4) back transformation to RGB. The band ratios 5/7, 3/1, and 4/3 displayed in RGB, respectively, were used to produce the color composite ratio image. The first principal component (PC1), the second principal component (PC2), and the third principal component (PC3), displayed in RGB, respectively, were used to construct the color composite principal component image. The resultant images successfully discriminated the exposed rock units in the study area and a lithologic map has been constructed that is subjected to precise field verification. The stratigraphy of the area under consideration starts with metavolcanics and associated volcaniclastics as an oldest rock unit, followed by granodiorite–diorite, pink granite, biotite granite, acidic and basic dykes, and Cenozoic volcanics. A new rock unit (biotite granite) has been introduced that was not represented in previous mapping of the considered sector. The biotite granite is verified by field and petrographical studies.     

基于边缘特征的遥感影像小波变换融合法

如何将不同空间分辨率遥感影像合理有效地融合在一起,保持原始多光谱影像的光谱特性,提高影像的分类精度和空间分解力,这是遥感影像数据融合处理的热点研究问题。在对原始遥感影像进行小波变换的基础上,提取高空间分辨率影像边缘特征信息,并与原始多光谱影像进行了融合处理。以IRS、SPOT和ETM卫星影像为资料进行实验,结果表明,该方法在提高影像的空间分辨率的同时,能够很好地保持影像的光谱特性,尤其在空间分辨率差异较大的影像融合中,该方法在保持影像光谱特性方面要优于其他的融合方法。     

Recovering the large gaps in Landsat 7 SLC-off imagery using weighted multiple linear regression (WMLR)

Since 2003, the permanent failure of the scan line corrector (SLC) of the Landsat Enhanced Thematic Mapper Plus (ETM+) sensor has seriously limited the scientific applications and usability of ETM+ data. While a number of methods have been conducted to fill the regular un-scanned locations in ETM+ SLC-off images, only a few researches have been developed to recover the large gap areas in such images. In this study, an innovative gap filling method has been introduced to reconstruct the large gap locations in SLC-off images via multi-temporal auxiliary fill images. A correlation is established between the corresponding pixels in the target SLC-off image and two auxiliary fill images in parallel using the multiple linear regression (MLR) model in two successive steps. In the first step, almost half the gap locations have been recovered using the MLR model, then in the second step a weighted multiple linear regression (WMLR) algorithm is proposed to recover the remaining missing values. The simulated and actual case studies show that the proposed approach may provide a powerful tool for recovering the large gaps in SLC-off images, especially when there is a long time interval between the auxiliary fill images and the target SLC-off image.     

Spatial variability of soil quality in the surroundings of a saline lake environment

The spatial variability of the quality of the soil on the shores of a lagoon affected by hydromorphy and/or salinity can be identified (Laguna de Villacañas, Castilla La Mancha) by the use of multitemporal Landsat images in order to analyse these changes. For this purpose, TM and ETM images along with field observations and certain edaphic laboratory parameters are used. In order to identify saline-hydromorphic soils, the spatial variability of chemical and physical properties of a transect, which includes from Solonchaks to Regosols and Cambisols, have been correlated with the Normalised Difference Vegetation Index (NDVI). This index, chosen for specific dates, has proven to be very useful in detecting halophytic vegetation and relating it to the variability of the quality of these soils.     

Quantitative modeling of groundwater in Satluj River basin of Rupnagar district of Punjab using remote sensing and geographic information system

Water is a fluctuating resource making it difficult to measure in time and in space. To demonstrate the efficiency of the geographic information system (GIS) for groundwater studies, information on the parameters controlling groundwater such as lithology, geomorphology and lineament analysis were analyzed. LISS-III and Landsat satellite image of the area was used to infer information on the geologic lineaments and geomorphology. To delineate linear features enhancement and direction, filtering was performed on single bands of Landsat images. Thematic maps for geology, slope, geomorphology and lineament were prepared and integrated in GIS by assigning the weights and ranking to various parameters controlling the occurrence of groundwater to generate the groundwater potential map for the study area. The results indicate that the floodplain of river and its adjoining areas have very good groundwater potential, whereas the steeply sloping area in the northern part having high relief and slope possesses poor groundwater potential.     

遥感与化探数据融合技术在金矿预测中的应用

作为一种先进的多元数据融合技术,遥感与化探数据融合技术的目的在于能从原始的遥感图像中获得较高质量的图像和提取实际需要的蚀变信息.文章首先研究了几个典型的遥感与化探融合的算法(如PCA、ISODATA、MLC等),然后提出了一个新的使用了专家系统的基于3个层次(像素级、特征级和决策级)的遥感与化探数据融合方法.该方法通过在招远金矿区应用示范,结果表明这种新的方法较之传统的遥感与化探融合方法是一种行之有效的遥感找矿技术方法.