Mapping with Aerial Photographs: Recording the Past, the Present, and the Invisible at Marj Rabba, Israel

Hill, Austin; Rowan, Yorke M.; Kersel, Morag M.

doi:10.5615/neareastarch.77.3.0182

Cited by 23 publications

(16 citation statements)

References 2 publications

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“…Semi-automated detection of looting in Afghanistan using multispectral imagery resolution of 10-20mm per pixel (e.g. Hill et al 2014;Kersel & Hill 2015). Aerial mapping at the site of Fifa in Jordan allowed the excavators to document looting pits that targeted individual burials, and this method, in the future, could even allow the volume of these pits to be measured (Salopek 2014).…”

Section: Methodsmentioning

confidence: 99%

Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis

et al. 2017

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Section: Methodsmentioning

confidence: 99%

Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis

et al. 2017

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“…Although the value for archaeological survey of near infrared imagery and near infrared-derived vegetation indices such as NDVI (Normalized Difference Vegetation Index), has long been known and applied to satellite imagery [20][21][22] a new generation of affordable, lightweight near infrared sensors designed for low elevation drone-based imaging have recently become available. While archaeologists wishing to record low-elevation, multi-spectral data had previously been limited to custom modified visible light cameras [23,24], recently developed specialized multi-spectral sensors like the MicaSense RedEdge series, the Parrot Sequoia, the Sentera Quad Sensor, the Mapir Kernel, and the Slantrange 3p can now record individual spectral bands as separate images and are specifically designed for integration with commercial drones. Cheaper commercial multi-spectral options exist as well, like the Mapir Survey 3 and Agrocam Geo NDVI, which are more similar to the older DIY options and record multiple spectral bands on a single RGB (red, green, blue) sensor that has been specially filtered to record narrower bands that include the near infrared.…”

Section: Multi-spectral Nir Imagingmentioning

confidence: 99%

Archaeological Remote Sensing Using Multi-Temporal, Drone-Acquired Thermal and Near Infrared (NIR) Imagery: A Case Study at the Enfield Shaker Village, New Hampshire

2020

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While archaeologists have long understood that thermal and multi-spectral imagery can potentially reveal a wide range of ancient cultural landscape features, only recently have advances in drone and sensor technology enabled us to collect these data at sufficiently high spatial and temporal resolution for archaeological field settings. This paper presents results of a study at the Enfield Shaker Village, New Hampshire (USA), in which we collect a time-series of multi-spectral visible light, near-infrared (NIR), and thermal imagery in order to better understand the optimal contexts and environmental conditions for various sensors. We present new methods to remove noise from imagery and to combine multiple raster datasets in order to improve archaeological feature visibility. Analysis compares results of aerial imaging with ground-penetrating radar and magnetic gradiometry surveys, illustrating the complementary nature of these distinct remote sensing methods. Results demonstrate the value of high-resolution thermal and NIR imagery, as well as of multi-temporal image analysis, for the detection of archaeological features on and below the ground surface, offering an improved set of methods for the integration of these emerging technologies into archaeological field investigations.

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“…Provided that the models exhibit sufficient spatial fidelity and geospatial accuracy, they can be used to measure architectural and landscape features (Wernke et al 2014). They can also be used for routine site and landscape monitoring (Rinaudo et al 2012; Seitz and Altenbach 2011), heritage documentation (Harrison-Buck et al 2016; Wechsler et al 2016), and the detection of looting or other forms of heritage destruction (Fiorillo et al 2013; Hill et al 2014; Howland et al 2014; Kersel and Hill 2015).…”

Section: Resultsmentioning

confidence: 99%

A Beginner's Guide to Mesoscale Survey with Quadrotor-UAV Systems

Olson

Rouse

2018

Adv. archaeol. pract.

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Quadrotor-UAV (unmanned aerial vehicle) systems are becoming increasingly ubiquitous in archaeological field research for the production of digital elevation models and orthophoto mosaics of sites, monuments, and landscapes. In order to make up for the lack of suitable imagery to use in a larger project on the landscapes surrounding Bronze Age tell sites in the Murghab delta of eastern Turkmenistan, we developed a protocol for the deployment of out-of-the-box UAV systems to document sites and their immediate environs. This article discusses the fundamentals of aerial survey based on our experience deploying a quadrotor UAV, using examples from our case study of the site of Togolok 1. We argue that the approach we developed is particularly useful for mesoscale survey, between 1 and 5 km2, and is particularly useful for producing technical quality outputs, even by relative newcomers to UAV-based aerial survey.

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Mapping with Aerial Photographs: Recording the Past, the Present, and the Invisible at Marj Rabba, Israel

Cited by 23 publications

References 2 publications

Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis

Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis

Archaeological Remote Sensing Using Multi-Temporal, Drone-Acquired Thermal and Near Infrared (NIR) Imagery: A Case Study at the Enfield Shaker Village, New Hampshire

A Beginner's Guide to Mesoscale Survey with Quadrotor-UAV Systems

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