SOURCE-LINKED INTELLIGENCE
Ancient irrigation detection and analysis using advanced remote sensing methods
d ancient irrigation systems. UnderTheSands will employ a combination of novel remote sensing techniques (including Multi-Scale Relief Model, Seasonal Multitemporal Vegetation Indices, hybrid machine-deep learning algorithms, archaeomorphology, spatial correlation indices, and historical analyses) and sources (including multispectral imaging, synthetic aperture radar, and TanDEM-X) to produce a workflow for the detection and analysis of ancient irrigation networks in diverse environments. These methods and the training provided during their implementation by a team of leading international researchers will enhance the candidate's profile with cutting-edge techniques that will situate him at the forefront of research in ancient irrigation and boost his career. Machine learning, deep learning, remote sensing, landscape archaeology, ancient irrigation, Near East
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- recordType
- award
- status
- CLOSED
- region
- EU
- value
- 181152.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.