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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >A geomatics data integration technique for coastal change monitoring
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A geomatics data integration technique for coastal change monitoring

机译：用于沿海变化监测的地理数据集成技术

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This paper reports research carried out to develop a novel method of monitoring coastal change, using an approach based on digital elevation models (DEMs). In recent years change monitoring has become an increasingly important issue, particularly for landforms and areas that are potentially hazardous to human life and assets. The coastal zone is currently a sensitive policy area for those involved with its management, as phenomena such as erosion and landslides affect the stability of both the natural and the built environment. With legal and financial implications of failing to predict and react to such geomorphological change, the provision of accurate and effective monitoring is essential. Long coastlines and dynamic processes make the application of traditional surveying difficult, but recent advances made in the geomatics discipline allow for more effective methodologies to be investigated.A solution is presented, based on two component technologies - the Global Positioning System (GPS) and digital small format aerial pbotogrammetry - using data fusion to eliminate the disadvantages associated with each technique individually. A sparse but highly accurate DEM, created using kinematic GPS, was used as control to orientate surfaces derived from the relative orientation stage of photogrammetric processing. A least squares surface matching algorithm was developed to perform the orientation, reducing the need for costly and inefficient ground control point survey. Change detection was then carried out between temporal data epochs for a rapidly eroding coastline (Filey Bay, North Yorkshire). The surface matching algorithm was employed to register the datasets and determine differences between the DEM series. Large areas of change were identified during the lifetime of the study. Results of this methodology were encouraging, the flexibility, redundancy and automation potential allowing an efficient approach to landform monitoring. Copyright (c) 2005 John Wiley & Sons, Ltd.
机译：本文报道了为开发一种监测沿海变化的新方法而进行的研究，该方法使用了基于数字高程模型（DEM）的方法。近年来，变化监控已成为越来越重要的问题，尤其是对于那些可能对人类生命和财产构成潜在危险的地貌和地区。对于那些参与管理的地区，沿海地区目前是一个敏感的政策领域，因为侵蚀和山体滑坡等现象会影响自然环境和建筑环境的稳定性。由于无法预测和应对此类地貌变化会产生法律和财务影响，因此提供准确有效的监控至关重要。漫长的海岸线和动态过程使传统测绘的应用变得困难，但是地理学领域的最新进展允许研究更有效的方法。基于全球定位系统（GPS）和数字化这两种技术，提出了一种解决方案小型航空象形图-使用数据融合消除与每种技术相关的缺点。使用运动学GPS创建的稀疏但高度精确的DEM被用作对从摄影测量过程的相对定向阶段得出的表面进行定向的控件。开发了最小二乘曲面匹配算法来执行定向，从而减少了对昂贵且效率低下的地面控制点测量的需求。然后在快速侵蚀的海岸线（北约克郡Filey湾）的时间数据纪元之间进行更改检测。使用表面匹配算法来注册数据集并确定DEM系列之间的差异。在研究生命周期中发现了大范围的变化。这种方法的结果令人鼓舞，其灵活性，冗余性和自动化潜力使人们可以有效地监测地形。版权所有（c）2005 John Wiley＆Sons，Ltd.

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