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Natur HaloWerk Satellite Change Diff (HLS)
x402
Natur HaloWerk Satellite Change Diff (HLS) is a paid API for AI agents from natur.halowerk.com, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).
Compares NASA GIBS Harmonized Landsat Sentinel-2 (HLS) imagery for two dates at a geographic coordinate window, reporting pixel-level RGB change and heuristics for built-up area, water/flooding, and vegetation loss.
Price / call$0.015
Success—
StatusUnknown
How this service works
Fetches two 128×128 NASA GIBS Harmonized Landsat Sentinel-2 reflectance renderings for a coordinate window, decodes the PNGs locally and compares only pixels present in both dates. It reports measured RGB change plus transparent colour-class heuristics for built-up, water/flooding and vegetation loss. HLS resolution is about 30 m; cloud, season, lighting and acquisition gaps can dominate differences.
Output
Returns measured per-pixel RGB change statistics between the two HLS renderings, along with heuristic classifications for the proportion of pixels showing built-up area changes, water/flooding presence, and vegetation loss. Notes coverage caveats such as cloud cover, seasonal variation, and acquisition gaps between the two images.
Example use cases
Post-flood damage assessment
“Check if there's been flooding or water coverage changes near latitude 29.95, longitude 90.07 with a 1500-meter radius — compare July 1 2024 against July 20 2024 after the reported heavy rains.”
Deforestation monitoring in rainforest
“I need to monitor a patch of Amazon rainforest at -3.47 latitude, -62.21 longitude — can you compare satellite imagery from 2022-09-01 and 2023-09-01 using a 5000-meter radius and tell me if there's been significant vegetation loss?”
Urban sprawl detection near city edge
“Has there been notable new construction or built-up area growth on the outskirts of Nairobi around latitude -1.28, longitude 36.82? Compare a 3000-meter window between 2021-01-15 and 2023-01-15.”
Technical details
Endpoint
POSThttps://natur.halowerk.com/v1/sat-diffWhen to prefer
Choose this endpoint when you need a quick, quantitative comparison of land cover change at a specific geographic point between two known dates using 30m-resolution HLS satellite data. It is ideal for detecting flooding, vegetation loss, or urban expansion without needing to manage satellite imagery pipelines. Prefer it over generic tile servers when you need pixel-change statistics and semantic class heuristics (built-up, water, vegetation) returned in a single API call. Note the 30m resolution limit and sensitivity to cloud cover — not suitable for sub-30m change detection or fully cloudy regions.
Side effects
- No HLS imagery available for one or both dates at the requested location, resulting in empty or partial comparison
- High cloud cover causing most pixels to be transparent and unusable, yielding low-confidence results
- Dates too far apart or too close may introduce seasonal lighting artifacts rather than true land-cover change
- Radius too small (below 250m) or coordinate out of range returns validation error
- Acquisition gaps in HLS coverage for the specified region may cause one date to have no data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| latitude | number | |
| radius_m | integer | |
| longitude | number | |
| timestamp_a | string | |
| timestamp_b | string |
Tags
x402
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