دورية أكاديمية

ARCHAEOLOGICAL SURVEY OF THE WESTERN BOUNDARY STRIP OF IRAN THROUGH USING REMOTE SENSING TECHNIQUES.

التفاصيل البيبلوغرافية
العنوان: ARCHAEOLOGICAL SURVEY OF THE WESTERN BOUNDARY STRIP OF IRAN THROUGH USING REMOTE SENSING TECHNIQUES.
المؤلفون: NIKNAMI, KAMAL ALDIN, JABARZADEH, HAYYAN, VAHABI, MAHSA
المصدر: Archeologia e Calcolatori; 2021, Issue 1, p63-80, 18p
مصطلحات موضوعية: REMOTE sensing, ARCHAEOLOGICAL surveying, ARCHAEOLOGICAL excavations, GEOGRAPHY, ARCHAEOLOGICAL discoveries, PREDICTION models
مصطلحات جغرافية: IRAN
مستخلص: A huge irrigation project is being conducted in the Iranian western border and satellite investigation of the area was initially performed in order to identify archaeological settlement sites before they were threatened by the so-called Garmsiri water project. Because of the diverse geography and the inherited critical war conditions such as mined lands, the investigation of ancient sites in this region is not easy; therefore, satellite-based methods can play an important role in the detection and documentation of archaeological sites. The main hypothesis of this study is that all settlements have internal and external characteristics allowing to detect the presence of archaeological sites. The identification of a series of these characteristics in a spatial area will lead to the discovery of archaeological sites. Three general methods which this study utilizes to identify the location of the site include: 1) Identification using satellite images; 2) Identification using the predictive model based on GIS; 3) Integration of satellite images data applying the prediction model. Thereby, those points having a series of internal and external characteristics related to settlement sites were introduced as potential ancient sites. In the field survey, 57 points were confirmed as settlement sites. The perspective of this study helps archaeologists to explore the surface and subsurface remnants of ancient sites without conventional field-walking survey. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:11206861
DOI:10.19282/ac.32.1.2021.04