http://www.i-scholar.in/index.php/JGSI/article/download/70750/61283

Records of the Geological Survey of India

Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)

This paper explores the nature and dynamics of adaptation and resilience in the face of a diverse and varied environmental and ecological context using the case study of South Asia’s Indus Civilization (ca. 3000–1300 BC). Most early complex societies developed in regions where the climatic parameters faced by ancient subsistence farmers were varied but rain falls primarily in one season. In contrast, the Indus Civilization developed in a specific environmental context that spanned a very distinct environmental threshold, where winter and summer rainfall systems overlap. There is now evidence to show that this region was directly subject to climate change during the period when the Indus Civilization was at its height (ca. 2500–1900 BC). The Indus Civilization, therefore, provides a unique opportunity to understand how an ancient society coped with diverse and varied ecologies and change in the fundamental environmental parameters. This paper integrates research carried out as part of the Land, Water and S...

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Adaptation to Variable Environments, Resilience to Climate Change: Investigating Land, Water and Settlement in Indus Northwest India

This paper presents an innovative multisensor, multitemporal machine-learning approach using remote sensing big data for the detection of archaeological mounds in Cholistan (Pakistan). The Cholistan Desert presents one of the largest concentrations of Indus Civilization sites (from ca 3300 to 1500 BC). Cholistan has figured prominently in theories about changes in water availability, the rise and decline of the Indus Civilization, and the transformation of fertile monsoonal alluvial plains into an extremely arid margin. This paper implements a multisensor, multitemporal machine-learning approach for the remote detection of archaeological mounds. A classifier algorithm that employs a large-scale collection of synthetic-aperture radar and multispectral images has been implemented in Google Earth Engine, resulting in an accurate probability map for mound-like signatures across an area that covers ca 36,000 km2 The results show that the area presents many more archaeological mounds than previously recorded, extending south and east into the desert, which has major implications for understanding the archaeological significance of the region. The detection of small ( 30 ha) suggests that there were continuous shifts in settlement location. These shifts are likely to reflect responses to a dynamic and changing hydrological network and the influence of the progressive northward advance of the desert in a long-term process that culminated in the abandonment of much of the settled area during the Late Harappan period.

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Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data.

The EAMENA (Endangered Archaeology of the Middle East and North Africa) project is a collaboration between the Universities of Leicester, Oxford and Durham; it is funded by the Arcadia Fund and the Cultural Protection Fund. This paper explores the development of the EAMENA methodology, and discusses some of the problems of working across such a broad region. We discuss two main case studies: the World Heritage site of Cyrene illustrates how the project can use satellite imagery (dating from the 1960s to 2017), in conjunction with published data to create a detailed set of database records for a single site and, in particular, highlights the impact of modern urban expansion across the region. Conversely, the Homs Cairns case study demonstrates how the EAMENA methodology also works at an extensive scale, and integrates image interpretation (using imagery dating from the 1960s to 2016), landuse mapping and field survey (2007–2010) to record and analyse the condition of hundreds of features across a small study region. This study emphasises the impact of modern agricultural and land clearing activities. Ultimately, this paper assesses the effectiveness of the EAMENA approach, evaluating its potential success against projects using crowd-sourcing and automation for recording archaeological sites, and seeks to determine the most appropriate methods to use to document sites and assess disturbances and threats across such a vast and diverse area.

From above and on the ground : geospatial methods for recording endangered archaeology in the Middle East and North Africa.

Materializing Harappan identities: Unity and diversity in the borderlands of the Indus Civilization

Here we illustrate a ground map approach that uses orthorectified CORONA KH4B images and declassified topographical maps to study historical land-use dynamics and to help planning archaeological survey in the monsoonal semi-arid alluvial plains of North Gujarat, India. In spite of its generalized use in archaeological applications, CORONA photographs have rarely been used in Indian archaeological contexts. The methods discuss a cost-effective and integrated protocol for: (i) obtaining ground control points (GCPs) and orthorectify CORONA photographs when very high-resolution imagery or detailed topographic maps are not available; and (ii) evaluating the integration of declassified datasets into Google Earth Pro for addressing archaeological surveys in remote areas. The merging of CORONA imagery with declassified USA and the former USSR historical military maps provided a picture of the human–environment interaction in North Gujarat of the past 40 years, prior to the intense development of mechanical agriculture and regional irrigation channels. We conclude by identifying the human and climate-induced taphonomical processes that are obliterating a fragile landscape characterized by archaeological scatters located in fossilized sand dunes. Copyright © 2014 John Wiley & Sons, Ltd.

CORONA Photographs in Monsoonal Semi-arid Environments: Addressing Archaeological Surveys and Historic Landscape Dynamics over North Gujarat, India

http://digital.csic.es/bitstream/10261/78822/1/Madella-2010-Social%20and%20environmental%20transitions%20in%20arid%20zones....Antiquity_%20Project%20Gallery.pdf

Social and environmental transitions in arid zones: the North Gujarat Archaeological Project — NoGAP

Recent excavations at Shikarpur, a fortified Harappan site situated near the Gulf of Kuchchh in Gujarat, Western India, brought to light a large collection of Rohri chert blades. Chert found in the Rohri hill near Sukkur in Sindh, central Pakistan is distinctive and easily identifiable. The wide distribution of standardized Rohri chert blades is often regarded as a testimony to the Harappan efficiency in long distance trade and craft production. The possibility of localized production of Rohri chert blades in Gujarat is often negated due to the constraints of raw-material availability. The absence of Rohri chert working debitage from most of the sites in Gujarat, has lent support to this position. The Shikarpur Rohri blade assemblage however incorporates more than 650 blades, a large fluted blade-core and a few Rohri chert debitage. These have led the excavators to suggest that some of the blades found at Shikarpur were locally produced from raw materials brought to the site from the Rohri hills. Typo-technological features of the Rohri chert assemblage from Shikarpur have been analysed in this background. These along with metrical features of the assemblage are compared with Rohri chert assemblages from other major Harappan sites in the region to check the validity of the proposed ‘limited local production’.

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S.V. Rajesh

Papers

Materializing Harappan identities: Unity and diversity in the borderlands of the Indus Civilization

CORONA Photographs in Monsoonal Semi-arid Environments: Addressing Archaeological Surveys and Historic Landscape Dynamics over North Gujarat, India

Social and environmental transitions in arid zones: the North Gujarat Archaeological Project — NoGAP

Shikarpur lithic assemblage: New questions regarding Rohri chert blade production

Continuation of a Tradition over Five Thousand Years: Lithic Assemblage from Loteshwar, North Gujarat, Western India