Study of Ancient Land Boundaries at Tauric Chersonesos Using Satellite Images

2019 ◽  
Vol 25 (1) ◽  
pp. 44-58 ◽  
Author(s):  
Edgar A. Terekhin ◽  
Tatiana N. Smekalova
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Satellite Images ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Field Surveys ◽  
The 1960S ◽  
Better Than ◽  
Made In

Abstract The near chora (agricultural land) of Tauric Chersonesos was investigated using multiyear remote sensing data and field surveys. The boundaries of the land plots were studied with GIS (Geographic Information Systems) technology and an analysis of satellite images. Reliable reconstruction of the borders has been done for 231 plots (from a total of about 380), which is approximately 53% of the Chersonesean chora. During the last 50 years, most of the ancient land plots have been destroyed by modern buildings, roads, or forests. However, in the 1960s, a significant part of the chora was still preserved. Changes in preservation with time were studied with the aid of satellite images that were made in 1966 and 2015. During that period, it was found that the number of plots with almost-complete preservation decreased from 47 to 0. Those land plots whose preservation was better than 50% dropped from 104 to 4. A temporal map shows this decline in preservation. It was found that the areas of land plots could be determined accurately with satellite images; compared to field surveys, this accuracy was about 99%.

Cuckoo Search Based Decision Fusion Techniques for Natural Terrain Understanding

2014 ◽  
Vol 5 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Arpita Sharma ◽  
Samiksha Goel
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Cuckoo Search ◽  
Decision Fusion ◽  
Majority Voting ◽  
Natural Terrain ◽  
Terrain Features ◽  
Level Fusion ◽  
Better Than

This paper proposes two novel nature inspired decision level fusion techniques, Cuckoo Search Decision Fusion (CSDF) and Improved Cuckoo Search Decision Fusion (ICSDF) for enhanced and refined extraction of terrain features from remote sensing data. The developed techniques derive their basis from a recently introduced bio-inspired meta-heuristic Cuckoo Search and modify it suitably to be used as a fusion technique. The algorithms are validated on remote sensing satellite images acquired by multispectral sensors namely LISS3 Sensor image of Alwar region in Rajasthan, India and LANDSAT Sensor image of Delhi region, India. Overall accuracies obtained are substantially better than those of the four individual terrain classifiers used for fusion. Results are also compared with majority voting and average weighing policy fusion strategies. A notable achievement of the proposed fusion techniques is that the two difficult to identify terrains namely barren and urban are identified with similar high accuracies as other well identified land cover types, which was not possible by single analyzers.

Introducing Flood Susceptibility Index Using Remote-Sensing Data and Geographic Information Systems

2017 ◽  
pp. 381-400
Author(s):  
Nikolaos Stathopoulos ◽  
Kleomenis Kalogeropoulos ◽  
Christos Polykretis ◽  
Panagiotis Skrimizeas ◽  
Panagiota Louka ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Sensing Data ◽  
Susceptibility Index ◽  
Flood Susceptibility

scholarly journals Integrating Remote Sensing Data Into Geographic Information Systems

Eos ◽  
2011 ◽  
Vol 92 (18) ◽  
pp. 154-154 ◽  
Author(s):  
Tom G. Farr ◽  
Stephanie Granger ◽  
Steve Kopp
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Sensing Data

scholarly journals THE EXPERIENCE OF THE USE OF GEOGRAPHICAL INFORMATION SYSTEMS IN ARCHAEOLOGICAL RESEARCHES OF THE BROWARKA RIVER BASIN OF PEREIASLSAV REGION

2018 ◽  
Vol 26 (1) ◽  
pp. 190-200
Author(s):  
S. V. Vovkodav
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
River Basin ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Archaeological Sites ◽  
Research Focus ◽  
Settlement Systems ◽  
Sensing Data

The article describes experience of using geographic information systems in archaeological research of the Brovarka river basin. This river is а part of surface waters of Pereiaslav region and it is located in the south-eastern part of the region. The study of sites in the region began in the middle of the XIX century. From this time until the end of the 1960s the research focus was concentrated only on the certain objects of the micro-region. During the next period (up to the early 1990s) the several field studies was conducted on the territory, that allows to accumulate many archaeological materials. Despite the aforementioned, yet the purposeful study of the territory was not carried out. In the early 2000s a generalization of information about archaeological sites in the micro-region and their further field survey was started. So, we have begun a comprehensive study of archaeological sites, lined up within the Brovarka river basin. The need to operate a large amount of diverse information and to attract a wide range of sources has forced us to use new approaches in the study of the past of the region: the use of geographic information systems, remote sensing data and GPS positioning. The main research focus was concentrated on the study of the ancient settlement systems. The study was carried out in the context of the implementation of following three areas: а records of archaeological sites, an analysis of the spatial characteristics of ancient settlement systems and use of remote sensing data for different research needs. The particular features and results of their implementation are proposed in this publication.

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