LSTzoom Data Bundle

Constellr's product deliverables include several layers, which are outlined below.

Data layers

Layers	Description	File Format
metadata.json	Metadata description	json
vnir02.tiff - vnir09.tiff¹	VNIR Surface Reflection per band at 10m, 20m, 30m, and 60m resolution	Cloud optimized geotiff
lst.tiff	LST data	Cloud optimized geotiff
rgb_composite.tiff	True color (RGB) quicklook	Cloud optimized geotiff
lst_composite.tiff	Temperature quicklook	Cloud optimized geotiff
rgb_thumbnail.jpg	RGB Thumbnail	jpg
lst_thumbnail.jpg	LST Thumbnail	jpg
scl_mask_XXm.tiff	Scene Classification Layer (e.g. vegetation, water) at 10m, 20m, 30m, and 60m resolution	Cloud optimized geotiff
vnirXX_qa.tiff	Quality Assessment Layer for each VNIR band	Cloud optimized geotiff
tcwv.tiff²	Total Column Water Vapour	Cloud optimized geotiff
aot.tiff³	Aerosol Optical Thickness	Cloud optimized geotiff

Files, as described above, will be downloaded via a .zip file from the data store. The .zip file will have the following naming convention:

Naming convention

[Acquisition time] _ [Product] _ [data order ID]

Example
20240512T095854Z _ LSTzoom _ cae562b6-04a2-48cf-a044-eb61064e4c9b

Last update: September, 2025

Band 01 and 10 are excluded, as they do not represent surface information. ↩
The creation of the tcwv.tiff file is not possible if a scene is covered entirely by water or clouds. In this case, no tcwv.tiff file will be available and the SR will rely on modelled data. ↩
The availability of the aot.tiff files for a scene depends on the presence of dark and vegetated pixels in the corresponding scene. If such pixels are not available, the AOT.tiff file will be missing and the SR will rely on modelled data. ↩

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