Tell Asmar Footprint Watch
A satellite change-detection layer anchored to the published footprints of the Gimilsin Temple and Palace of the Rulers at Tell Asmar, now extended to the private-house blocks and grave areas mapped in the Diyala houses-and-graves volume. New disturbance — looting pits, vehicle tracks, encroaching construction — is flagged inside and around those documented zones, with alerts ranked by documented grave density so the most looting-prone burial areas surface first. Multi-date imagery is radiometrically normalized before comparison, and the coarse 1972–1992 Landsat archive is used only as a mound-scale historical baseline.
Concept
One capability: footprint-anchored change detection. The product georeferences the published outlines of the Gimilsin Temple and the Palace of the Rulers [0] — plus, new in this iteration, the private-house blocks and associated grave areas published in the Diyala houses-and-graves volume [1] — onto current high-resolution satellite imagery of the Tell Asmar mound, then runs periodic image comparisons that flag new disturbance inside and immediately around those documented zones. The output is a ranked alert list (e.g., 'new pit cluster ~40 m from the palace's west wall, inside the documented grave area of the northern residential block'), not a dashboard suite. The anchor remains the point: regional looting surveys of Iraqi tells exist, but tying alerts to the exact documented extent of named buildings, house blocks and burial grounds tells the site manager not just that the mound changed, but which published structures and grave groups are specifically at risk.
What the new evidence adds
- From two buildings to the whole published site. The houses-and-graves volume [1] (a print-only 30 cm folio with fold-out maps and grave plans) documents residential blocks and grave areas across the Diyala sites, including Tell Asmar's quarters. This extends the anchor set from two public monuments to the looting-prone residential and burial zones, and gives alert ranking a principled signal: documented grave density. Burial areas are where looters expect grave goods, so new disturbance there should outrank disturbance in empty ground.
- Grave plans turn noise into a mask. A prior open question feared that dense graves and old excavation trenches would generate false positives. The published grave plans largely answer it: 1930s–40s excavation scars can be digitized as a known-disturbance mask and subtracted from the baseline, so comparisons flag only new disturbance. What looked like a noise problem becomes both a filter and a prioritization signal.
- Reliable multi-date comparison. Scattergram-controlled relative radiometric normalization [2] — developed for the 21-year Landsat MSS archive (1972–1992) — is an established method for making imagery from different dates, seasons and sensors comparable before change detection. Applying the same normalization to the watch's high-resolution image pairs suppresses false alarms from purely radiometric differences. The MSS archive itself also supplies a pre-looting baseline: 1972–1992 imagery predates the major Iraqi looting waves of the 1990s–2000s.
Bounds and open questions
- Resolution bound. MSS pixels (~60–80 m) cannot resolve individual looting pits. The MSS baseline is therefore bounded to mound- and zone-scale context — encroaching construction, land-use conversion, large earthmoving — while pit-level alerts still depend on current sub-meter imagery. This partially answers the minimum-resolution question: coarse archives set context; high-resolution imagery does detection.
- The digitization burden grows. Two building outlines were a bounded one-time task; fold-out maps and grave plans across residential blocks are a larger one, though still finite. Georeferencing accuracy of 1940s-era print plans to modern WGS84 remains unvalidated in the field and should be checked against visible mound features before alerts carry distance claims.
- The roadmap risk sharpens. A grave-density map is exactly the target list looters would want. The density layer and digitized grave plans must sit in an access-controlled layer shared only with heritage authorities; what circulates is the alert list, not the underlying maps.
- Response capacity. Whether the Iraq State Board of Antiquities and Heritage can act on prioritized alerts in remote areas remains open; the product ranks alerts, it cannot assume enforcement.
- Scope discipline. The named scope stays Tell Asmar. The volume covers the wider Diyala region, so the same footprint-anchored method could later be replicated at neighboring Diyala sites — a follow-on, not this product. The tool also remains a monitoring-and-alert service, not a 3D reconstruction, a development-screening registry, or an object-provenance lookup.
Written by GLM · 11 Oct 2026 · revised 1× with new research (latest 12 Oct 2026, Gemma 4 and GLM)
AI assessment
A highly focused, evidence-backed monitoring tool that transforms static archaeological maps into a dynamic security alert system for high-risk burial zones.
- Evidence strength 5/5
- The idea directly leverages specific, high-fidelity print sources (the Diyala volume) and applies a validated radiometric normalization method to solve the noise problem of multi-date imagery.
- Market pull 4/5
- There is a clear, urgent need for prioritized security in looting-prone regions, and the named beneficiaries (UNESCO, WMF) have a vested interest in site preservation.
- Novelty & moat 4/5
- While it shares data sources with other catalog ideas, it shifts the utility from 'screening' or 'indexing' to 'active security monitoring' via change detection.
- Feasibility 4/5
- The technical pipeline (digitization -> normalization -> change detection) is standard in remote sensing, though the manual digitization of fold-out maps is a labor-intensive first step.
- Wedge clarity 5/5
- The wedge is exceptionally sharp: a ranked alert list for a single site (Tell Asmar) based on grave density, avoiding the 'platform' trap.
- Simplicity / focus 5/5
- The product is strictly limited to one function—footprint-anchored change detection—with a clear output and a defined geographic scope.
Scored by Gemma 4 · 12 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
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Business analysis
The PESTEL analysis reveals a high-impact tool with strong technological feasibility, but one that is critically dependent on strict data security and the operational capacity of Iraqi authorities. While the technical pipeline for change detection is robust, the primary risks are legal/security-related, specifically the danger of the grave-density map becoming a roadmap for looters.
Political2
Economic2
Social2
Technological3
Environmental2
Legal2
The project's viability depends heavily on the political stability of Iraq and the legal cooperation of the State Board of Antiquities and Heritage. · Generated 2026-10-12 by Gemma 4AI-generatedFull PESTEL Analysis →
Who benefits
Runs satellite-based heritage damage assessment across Iraq; georeferenced Diyala house and grave polygons let its analysts score new disturbance against documented burial zones.
- Iraq State Board of Antiquities and Heritageorganization
Receives a prioritized patrol list for the burial-rich quarters of the Diyala sites instead of alerts for two buildings only.
- State Board of Antiquities and Heritage (Iraq)organization
It receives a ranked patrol list tied to the palace and temple footprints rather than generic alerts somewhere on the mound.
- ASOR Cultural Heritage Initiativesorganization
Produces site-condition and looting reports on Iraqi sites used by authorities and funders; the watch layer turns its Diyala coverage from site-level to zone-level.
- World Monuments Fundorganization
It runs conservation programs in Iraq; disturbance alerts anchored to documented buildings help it prioritize emergency response.
- UNESCOorganization
It documents the state of Iraqi cultural heritage; a monitored baseline tied to a published record supports its condition reporting.
Research it builds on
- Relative Radiometric Normalization of Landsat Multispectral Scanner (MSS) Data Using an Automatic Scattergram—Controlled RegressionChristopher D. Elvidge, Ding Yuan, R. D. Weerackoon et al. · 2026 · 169 citationsAll ideas from this paper →
- The Gimilsin Temple and the Palace of the Rulers at Tell AsmarHenri Frankfort, Seton Lloyd, Thorkild Jacobsen et al. · 2026 · 98 citationsAll ideas from this paper →
- Private Houses and Graves in the Diyala RegionPinhas Delougaz, Harold D. Hill, Seton Lloyd · 2026 · 87 citationsAll ideas from this paper →