The multisource rasters for the detection of ancient irrigation traces - central Iraq - 48 bands

RADOGOST 2026 Dataset Open access

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Authors: Nazarij Buławka, Héctor A. Orengo, Felipe Lumbreras, Iban Berganzo‐Besga, Ekta Gupta
DOI: 10.82343/gnavo3
Cited by: 0

Abstract

The dataset comprises a composite created in Google Earth Engine and reference data, which are used to detect levees in Mesopotamia with the Swin UNETR deep learning model and to evaluate its accuracy. The data used in the study were assembled from multitemporal Landsat 5 imagery, Sentinel-1 SAR imagery, Sentinel-2 multispectral imagery, and the Copernicus GLO-30 DSM and were combined with vegetation and moisture indices, PCA reductions of seasonal variability, and Multi-Scale Relief Model (MSRM) outputs.

Fields of Study & Subjects

Archaeological Research and Protection Synthetic Aperture Radar (SAR) Applications and Techniques Remote-Sensing Image Classification

Publication details

Journal / source
RADOGOST
Publication date
6 February 2026
Language
EN
Document type
Dataset