Gap in the data
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start with example_building_footprints.ipynb and reproduce the reported AOI using tiles 31313113 and 31313131. Compare the extracted buildings with the coverage GeoJSON at the supplied coordinates to determine whether the strip is caused by the notebook or missing source data. Done means the cause is identified and the issue has a documented, reproducible result.
Written by the indexing model from the issue text.
Description
First of all, amazing data set!
There seem to be a gap in the data or a little bug in the notebook example_building_footprints.ipynb. These arethe buildings extracted with AOI
[
[
-0.31158648247856036,
51.67080399034276
],
[
-0.31158648247856036,
51.55175362366529
],
[
-0.12320075078847026,
51.55175362366529
],
[
-0.12320075078847026,
51.67080399034276
],
[
-0.31158648247856036,
51.67080399034276
]
]
and tiles
[31313113, 31313131]
As you can see there a strip missing.
I have downloaded the geoJSON containing all the areas covered and there should be data at these coordinates.
Any advice/suggestion?
- Dominant language
- Python
- Stars
- 2k
- Forks
- 278
- PR merge metrics
- No merged PRs in 30d
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First steps
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microsoft/GlobalMLBuildingFootprints#137 · 1 comment ·
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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