Abstract

Techniques were implemented to extract anthropogenic features in the desert region of North Sinai using data from the first- and second-generation Phased Array type L-band Synthetic Aperture Radar (PALSAR-1 and 2). To obtain a synoptic view over the study area, a mosaic of average, multitemporal (De Grandi) filtered PALSAR-1 σ° backscatter of North Sinai was produced. Two subset regions were selected for further analysis. The first included an area of abundant linear features of high relative backscatter in a strategic, but sparsely developed area between the Wadi Tumilat and Gebel Maghara. The second included an area of low backscatter anomaly features in a coastal sabkha around the archaeological sites of Tell el-Farama, Tell el-Mahzan, and Tell el-Kanais. Over the subset region between the Wadi Tumilat and Gebel Maghara, algorithms were developed to extract linear features and convert them to vector format to facilitate interpretation. The algorithms were based on mathematical morphology, but to distinguish apparent man-made features from sand dune ridges, several techniques were applied. The first technique took as input the average σ° backscatter and used a Digital Elevation Model (DEM) derived Local Incidence Angle (LAI) mask to exclude sand dune ridges. The second technique, which proved more effective, used the average interferometric coherence as input. Extracted features were compared with other available information layers and in some cases revealed partially buried roads. Over the coastal subset region a time series of PALSAR-2 spotlight data were processed. The coefficient of variation (CoV) of De Grandi filtered imagery clearly revealed anomaly features of low CoV. These were compared with the results of an archaeological field walking survey carried out previously. The features generally correspond with isolated areas identified in the field survey as having a higher density of archaeological finds, and interpreted as possible islands of dry land, which may have been surrounded by lagoons, rivers, and swamplands in antiquity. It is suggested that these surrounding areas may still have a higher water content, sufficient to be detected in processed Synthetic Aperture Radar (SAR) imagery.

Highlights

  • The present paper describes a methodology for anthropogenic feature extraction from Synthetic Aperture Radar (SAR) data of North Sinai, from regional to local scales, and some preliminary results of its implementation

  • The present paper describes novel approaches for anthropogenic feature extraction in desert regions at various scales, and using both the phase and amplitude of the SAR signal

  • The Aeolian sand dune fields are characterised by very low backscatter, while higher backscatter is observed over the irrigated fields of the Nile Delta and over the exposed rock formations backscatter is observed over the irrigated fields of the Nile Delta and over the exposed rock of Um

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Summary

Introduction

Remote sensing is widely applied in archaeological research to map, prospect, and monitor large and often inaccessible areas at low cost [1,2,3]. While optical remote sensing techniques are Remote Sens. 2016, 8, 825 already well established, relatively few studies have made use of remotely sensed Synthetic Aperture. Research on the feasibility of spaceborne Synthetic Aperture Radar to carry out large scale, systematic archaeological surveys in the North Sinai is one of the objectives of the Satellite Remote. Sensing in Support to Egyptological Research (SatER) team. SatER is a research group of the Institute for Ancient Mediterranean Studies (ISMA) of the Italian National Research Council (CNR) coordinated by G. Its ultimate aim is to support the CNR Multidisciplinary Egyptological

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