Archaeological Interpretation of Marine Magnetic Data

2012 ◽  
Author(s):  
Robert Gearhart
Keyword(s):  
Remote Sensing ◽  
Magnetic Anomaly ◽  
Remote Sensing Data ◽  
Data Interpretation ◽  
Magnetic Data ◽  
Magnetic Interpretation ◽  
Sensing Data ◽  
The Past ◽  
Archaeological Interpretation ◽  
Historic Significance

Interpreting remote sensing data is one of the most important tasks of archaeologists working in submerged environments. Researchers rely on remote-sensing technologies to aid their search for historic shipwrecks of interest. Magnetometers are essential for detection of buried shipwrecks. The main goal of magnetic interpretation has been to distinguish shipwrecks from debris, usually resulting in an archaeological assessment of each anomaly concerning its potential for historic significance. The past two decades have seen improvement in archaeologists' abilities to detect shipwreck anomalies. This article provides a basic, nonmathematical summary of magnetism relevant to archaeological interpretation and the evolving perceptions of shipwreck anomalies. The basis for assessing magnetic anomaly significance must be firmly rooted in empiricism in order to improve the objectivity of data interpretation.

scholarly journals Mapping Paleohydrologic Features in the Arid Areas of Saudi Arabia Using Remote-Sensing Data

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 417 ◽  
Author(s):  
Mohamed Abdelkareem ◽  
Fathy Abdalla ◽  
Samar Y. Mohamed ◽  
Farouk El-Baz
Keyword(s):  
Remote Sensing ◽  
Saudi Arabia ◽  
Volcanic Activity ◽  
Remote Sensing Data ◽  
Landsat 8 ◽  
Optical Remote Sensing ◽  
Alos Palsar ◽  
Sensing Data ◽  
The Past ◽  
Aeolian Deposits

At present, the Arabian Peninsula is one of the driest regions on Earth; however, this area experienced heavy rainfall in the past thousand years. During this period, catchments received substantial amounts of surface water and sustained vast networks of streams and paleolakes, which are currently inactive. The Advanced Land Observing Satellite (ALOS) Phased Array Type L-band Synthetic Aperture Radar (PALSAR) data reveal paleohydrologic features buried under shallow aeolian deposits in many areas of the ad-Dawasir, Sahba, Rimah/Batin, and as-Sirhan wadis. Optical remote-sensing data support that the middle of the trans-peninsula Wadi Rimah/Batin, which extends for ~1200 km from the Arabian Shield to Kuwait and covers ~200,000 km2, is dammed by linear sand dunes formed by changes in climate conditions. Integrating Landsat 8 Operational Land Imager (OLI), Geo-Eye, Shuttle Radar Topography Mission (SRTM) digital elevation model, and ALOS/PALSAR data allowed for the characterization of paleodrainage reversals and diversions shaped by structural and volcanic activity. Evidence of streams abruptly shifting from one catchment to another is preserved in Wadi ad-Dawasir along the fault trace. Volcanic activity in the past few thousand years in northern Saudi Arabia has also changed the slope of the land and reversed drainage systems. Relics of earlier drainage directions are well maintained as paleoslopes and wide upstream patterns. This study found that paleohydrologic activity in Saudi Arabia is impacted by changes in climate and by structural and volcanic activity, resulting in changes to stream direction and activity. Overall, the integration of radar and optical remote-sensing data is significant for deciphering past hydrologic activity and for predicting potential water resource areas.

scholarly journals A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation

2020 ◽  
Vol 58 (7) ◽  
pp. 4989-4999
Author(s):  
Fabio M. Bayer ◽  
Debora M. Bayer ◽  
Andrea Marinoni ◽  
Paolo Gamba
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Data Interpretation ◽  
Dynamical Model ◽  
Sensing Data

Regularity and causes of grassland variations in China over the past 30 years using remote sensing data

2015 ◽  
Vol 6 (4) ◽  
pp. 330-347 ◽  
Author(s):  
Qingke Wen ◽  
Zengxiang Zhang ◽  
Xiaoli Zhao ◽  
Ling Yi ◽  
Xiao Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
The Past

Evaluation of seasonal water body extents in Central Asia over the past 27 years derived from medium-resolution remote sensing data

2014 ◽  
Vol 26 ◽  
pp. 335-349 ◽  
Author(s):  
Igor Klein ◽  
Andreas J. Dietz ◽  
Ursula Gessner ◽  
Anastassiya Galayeva ◽  
Akhan Myrzakhmetov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Central Asia ◽  
Water Body ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
The Past ◽  
Medium Resolution

scholarly journals Improving the Efficiency of Remote Sensing Data Interpretation by Analyzing Neighborhood Descriptors

2018 ◽  
Vol 28 (3) ◽  
pp. 352-365
Author(s):  
Stanislav A. Yamashkin ◽  
Anatoliy A. Yamashkin
Keyword(s):  
Remote Sensing ◽  
Classification Accuracy ◽  
System Analysis ◽  
Remote Sensing Data ◽  
Automated Analysis ◽  
Data Interpretation ◽  
Space Time ◽  
The State ◽  
Survey Analysis ◽  
Sensing Data

Introduction. In evaluating the space-time structure of the Earth’s surface, the data of remote sensing of the Earth become more important. Increasing the effectiveness of space survey analysis tools is possible through studying the problem of obtaining an integrated space-time characterization of the state of lands. The purpose of this study is to improve the accuracy of the automated analysis of remote sensing data by taking into account the invariant and dynamic descriptors of the vicinity. Materials and Methods. In order to improve the accuracy of the remote sensing data classification, a computation of complex space-time characteristics of the state of the lands was conducted based on the system analysis of data characterizing the dynamic and invariant states of the territory surrounding the geophysical site. The formalization of this process includes methods for calculating a set of numerical descriptors of the neighborhood: local entropy, local range, standard deviation, color moment, histogram of hues, and color cortege. A technique for calculating a complex descriptor based on the Fisher vector is described. To approbate the solution, a plan for the experiment was drawn up and a sample of the initial data was sampled. Results. The approbation of the methodology and the algorithm developed on its basis, implemented as a set of programs, on the test polygon system showed a variation in the classification accuracy in the range of 81–89% (without regard to the neighborhood), and taking into account the neighborhood, it increases to 91–97%. It is revealed that a significant increase in the radius of the analyzed neighborhood leads to a decrease in the classification accuracy. Conclusions. The application of the developed set of programs allows for the rapid implementation of modeling of spatial systems for the purpose of thematic mapping of land use and analyzing the development of emergency situations. The developed methodology for analyzing lands with regard to the descriptors of the neighborhood makes it possible to improve the accuracy of classification.

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