Integrated RS, GIS and GPS approaches to archaeological prospecting in the Hexi Corridor, NW China: a case study of the royal road to ancient Dunhuang

Luo, Lei; Wang, Xinyuan; Liu, Chuansheng; Guo, Huadong; Du, Xiaocui

doi:10.1016/j.jas.2014.07.009

Cited by 49 publications

(30 citation statements)

References 29 publications

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“…Through the backstage management subsystem, the system data backup strategy can also be set up, and the backup of the data can be finished. Super user administrator privileges can also be achieved on the system landing personnel and landing time of view, to facilitate the analysis of abnormal events [7]. The architecture of the intelligent operation management system of the integrated pipe corridor is shown in Figure 1.…”

Section: The Composition Of the Systemmentioning

confidence: 99%

Research on the Development of Intelligent Management System for Urban Underground Corridor Based on Cloud Computing

Yang¹

2017

dtcse

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At present, there are many problems such as low reliability and poor interaction in the city comprehensive corridor monitoring system. In order to solve these problems, an integrated corridor management system based on cloud computing technology is put forward. The system hardware architecture is based on the Internet of Things technology, which consists of three layers: field equipment layer, network layer and monitoring center. The software architecture is divided into corridor integrated monitoring system, corridor pipeline management system, operation and maintenance management system and emergency management system, and each subsystem is integrated with service-oriented programming. In addition, the system establishes a unified access portal. Through the desktop computers and intelligent terminals, users can achieve the monitoring of the operation of the integrated corridor.

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Section: The Composition Of the Systemmentioning

confidence: 99%

Research on the Development of Intelligent Management System for Urban Underground Corridor Based on Cloud Computing

Yang¹

2017

dtcse

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“…In brief, they are not usable for quantitative remote sensing applications, but are still interesting for archaeological object recognition and visual applications (Luo et al, 2014). All image slices were clipped with each image covering a ground area of 900 m × 600 m. Using 15 m panchromatic orthorectified Landsat-8 OLI image as a base, all clips were geo-referenced in ArcGIS10.1 with minimal root mean square error.…”

Section: Googleearth Imagesmentioning

confidence: 99%

“…Although it does not provide multispectral information, it allows for regional investigations (Sadr and Rodier, 2012;Kempe and AlMalabeh, 2013) even small archaeological sites and features to be detected (Luo et al, 2014), which is a huge step forward for archaeological purpose. GoogleEarth Pro is a business-oriented upgrade to GoogleEarth.…”

Section: Introductionmentioning

confidence: 99%

“…The applications of GIS in archaeology are visualization, spatial analysis and archaeological predictive modeling (Luo et al, 2014). GIS-based archaeology is now paid more and more attention all over the world and there have been many successful cases which are mostly engaged in archaeological mapping, prospection and relic management (Espa et al, 2006;Evans et al, 2007;Alexakis et al, 2011;Sadr and Rodier, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Ancient Stone Tidal Weirs in Penghu Archipelago: Distribution, Category, Structure and Function, a Google Earth and GIS Approach

Luo

Wang

Liu

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The aim of this study was to give a comprehensive archaeological investigation for Penghu's stone tidal weirs (STWs) based on both Google Earth and GIS. Firstly, this study uses GoogleEarth Pro tools to clip a GeoEye-1 image (acquisition date: 22/07/2013) and a WorldView-2 image (acquisition date: 25/01/2014) for Chipei Island and Husi Island, respectively, and save them at a "premium resolution" of 4800 dpi. More, using 15 m panchromatic orthorectified Landsat images as a base, two clips were geo-referenced in ENVI 5.1 with minimal root mean square error. Furthermore, the STWs were manual extracted from the two GoogleEarth images in ArcGIS 10.1. Category and size statistics are presented; construction structure and weir function are discussed. Lastly, by using GIS analyses, STWs characteristics of intertidal flats across Penghu archipelago have been mapped and related to key geographical environmental variables. From spring to summer of 2015 our research team conducted investigations into Penghu's STWs based on different seasons and time periods of GoogleEarth historic images. Our results showed that, distributed amongst Penghu's coastline, there are 503 STWs. Compared with the official survey results (around 592 STWs), the counts are similar but the GoogleEarth-based method is more time-saving and efficient.

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“…In order to identify these buried archaeological features, different types of remote sensing imagery have been used including aerial photographs [1,3,4], spaceborne and airborne RADAR images [5][6][7], airborne LIDAR images [8,9], as well as imaging spectroscopy [10][11][12][13]. Recently, archaeologists interested in detecting archaeological features are increasingly employing very high resolution (VHR) commercial satellite imagery [14][15][16][17][18][19][20]. These data sources and practices will most probably continue to play a constructive role in the identification of archaeological features in the future.…”

Section: Introductionmentioning

confidence: 99%

Automated Extraction of the Archaeological Tops of Qanat Shafts from VHR Imagery in Google Earth

et al. 2014

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Qanats in northern Xinjiang of China provide valuable information for agriculturists and anthropologists who seek fundamental understanding of the distribution of qanat water supply systems with regard to water resource utilization, the development of oasis agriculture, and eventually climate change. Only the tops of qanat shafts (TQSs), indicating the course of the qanats, can be observed from space, and their circular archaeological traces can also be seen in very high resolution imagery in Google Earth. The small size of the TQSs, vast search regions, and degraded features make manually extracting them from remote sensing images difficult and costly. This paper proposes an automated TQS extraction method that adopts mathematical morphological processing methods before an edge detecting module is used in the circular Hough transform approach. The accuracy OPEN ACCESSRemote Sens. 2014, 6 11957 assessment criteria for the proposed method include: (i) extraction percentage (E) = 95.9%, branch factor (B) = 0 and quality percentage (Q) = 95.9% in Site 1; and (ii) extraction percentage (E) = 83.4%, branch factor (B) = 0.058 and quality percentage (Q) = 79.5% in Site 2. Compared with the standard circular Hough transform, the quality percentages (Q) of our proposed method were improved to 95.9% and 79.5% from 86.3% and 65.8% in test sites 1 and 2, respectively. The results demonstrate that wide-area discovery and mapping can be performed much more effectively based on our proposed method.

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Integrated RS, GIS and GPS approaches to archaeological prospecting in the Hexi Corridor, NW China: a case study of the royal road to ancient Dunhuang

Cited by 49 publications

References 29 publications

Research on the Development of Intelligent Management System for Urban Underground Corridor Based on Cloud Computing

Research on the Development of Intelligent Management System for Urban Underground Corridor Based on Cloud Computing

Ancient Stone Tidal Weirs in Penghu Archipelago: Distribution, Category, Structure and Function, a Google Earth and GIS Approach

Automated Extraction of the Archaeological Tops of Qanat Shafts from VHR Imagery in Google Earth

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