Missouri & Watersheds · Water in a Changing Landscape
The decision
Where has mapped surface water changed along a bounded Missouri River, reservoir, or tributary AOI, and which human or agricultural systems are near those changes?
A specific South Dakota water body will be selected only after source QA shows a genuine, interpretable temporal signal. The AOI will not be cherry-picked from a result to imply causation.
The missing information
An early water map and a recent water map are hard to compare mentally. A change layer is more useful when the contributing dates remain visible and nearby systems can be inspected without treating proximity as a cause.
The nouns
| Noun | Public status | Publication requirement |
|---|---|---|
| Surface water | Missing | Stable water classification, dates, cloud/ice and sensor QA |
| Hydrography | Missing | Flowline/waterbody identity and topology provenance |
| Cropland | Missing | Year-specific classes and accuracy limitations |
| Roads or buildings | Missing | Completeness, date, geometry, and scale limits |
| Elevation | Missing | Datum, resolution, and resampling rules |
The analytical sentence
This is a design target, not executable code:
EARLY WATER → COMPARE WITH RECENT WATER → KEEP CHANGE → OVERLAP NEARBY SYSTEMS
The general change verb must define categorical transitions rather than subtracting class codes. The overlay must preserve distance or intersection semantics explicitly.
What happened?
No water-change result has been produced. Publishing a polished map before validating clouds, ice, classification stability, hydrologic identity, and temporal comparability would put documentation ahead of the package.
QA publication gate
The future page must visibly show EARLY WATER → RECENT WATER → CHANGE before
any decision overlay, plus observation counts, missingness, classification
categories, spatial alignment, and a numerical change-area check.
Decision view
Unavailable. The eventual final map may show where measured water-class transitions occur near cropland or infrastructure. It must not infer why water changed.
What this does and does not tell us
Spatial and temporal co-occurrence could guide field review or data requests. It would not establish hydrologic causation, water availability, damage, or regulatory consequence.
Fork this question
- Compare two defensible seasons rather than arbitrary annual snapshots.
- Replace cropland with roads after both sources pass QA.
- Ask how results change with the proximity distance made explicit.