NamburiSrinath/satellite-reservoir-estimation-data

satellite-reservoir-estimation — task inputs

Agent-visible input bundle for the satellite-reservoir-estimation task in Terminal-Bench-Science. Pulled at container build time, pinned to an immutable commit and verified against per-file SHA-256 sums.

This repository deliberately does not identify the site. The task withholds the reservoir's identity from the agent, and this card is reachable from inside the agent container by way of the checksum manifest, so naming the site here would defeat that. Reviewers: the identity, full provenance and audit path are in the task's own README.md in the benchmark repository, outside the agent image.

Contents

satellite-reservoir-estimation/input/{2009..2018}.tar   imagery, one archive per year
satellite-reservoir-estimation/input/dem.tar            elevation model
satellite-reservoir-estimation/input/vector.tar         reservoir boundary and AOI

2,054 files, about 1.0 GB extracted. Shipped as twelve archives rather than loose files because per-request overhead on ~2,000 loose objects costs minutes of build time.

product	source	form as shipped
Landsat Collection 2 Level-2 surface reflectance	USGS	293 acquisitions on one WRS-2 path, Landsat 5/7/8 Tier 1, 2009–2018: every one with at least a quarter of the reservoir outline clear by QA_PIXEL. Six reflectance bands plus QA_PIXEL, original USGS filenames, 30 m, EPSG:32610, cut by window (no resampling) to a 557 × 769 px AOI
3DEP one-metre digital elevation model	USGS	mosaicked to 10 m, clipped to the AOI, publisher's own EPSG:26910, NAVD88 metres
reservoir boundary and AOI	national hydrography waterbody, derived	GeoPackage, EPSG:32610, attributes stripped

All of it is public domain data from USGS, redistributed unmodified apart from the clipping, mosaicking and attribute stripping described above; imagery pixel values are exactly the publisher's. Band files keep their original USGS names on purpose — the band numbering differs across sensors, and that is part of what the task tests.

Provenance

Both products were retrieved through the Microsoft Planetary Computer STAC API (landsat-c2-l2 and the 3DEP one-metre collection); the elevation tiles are also available directly from prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/1m/. The benchmark task records the exact scene identifiers, the acquisition window and the checksums.

No reference values, expected answers or grading material are in this repository. Those live only in the task's verifier image.