Published March 19, 2022
| Version v1
Dataset
Open
Reference Datasets for: SHAFTS (v2022.3): a deep-learning-based Python package for Simultaneous extraction of building Height And FootprinT from Sentinel Imagery
Authors/Creators
Description
These are reference building height and footprint datasets which consist of 46 cities worldwide and support the development of SHAFTS (https://github.com/LllC-mmd/3DBuildingInfoMap).
Files
BuildingFootprint_1000m.zip
Files
(70.6 MB)
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md5:cabb2431bacde78ee8993c2f97badfbf
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1.1 MB | Preview Download |
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md5:8c99e49fce6d65aae7089a013eeda7d4
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29.3 MB | Preview Download |
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md5:0862b2762d2ea907aff31a10a5987231
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7.9 MB | Preview Download |
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md5:ff105ffe5ab7dabece2e2e8b76418358
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3.1 MB | Preview Download |
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md5:bd5066a8ff61332d98abf937c253ab4b
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683.6 kB | Preview Download |
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md5:fe28d15bd281700654563a99768821e6
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21.0 MB | Preview Download |
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md5:1913055c5db918eadf059251421af20a
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5.5 MB | Preview Download |
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md5:51c81349ef87f7c4725a1f04b13c9801
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2.0 MB | Preview Download |