Crowdsourced Mapping.zip
From the dataset abstract
Crowdsourced data from OpenStreetMap is used to automate the classification of satellite images into different land cover classes (impervious, farm, forest, grass, orchard, water).
Source: Crowdsourced Mapping
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Additional Information
Field | Value |
---|---|
Data last updated | September 7, 2018 |
Metadata last updated | September 7, 2018 |
Created | September 7, 2018 |
Format | ZIP |
License | No License Provided |
Created | over 6 years ago |
Media type | application/zip |
Size | 1,097,464 |
format | ZIP |
id | d72956a0-836d-496f-bacb-9bdf3ae17aca |
last modified | over 6 years ago |
md5 | 0c905160fc62a52cb65302dbd1531441 |
on same domain | True |
package id | ce9d525f-7c27-43fe-9e29-2e0efc3a5218 |
position | 1 |
proxy url | https://scidm.nchc.org.tw/en/dataset/ce9d525f-7c27-43fe-9e29-2e0efc3a5218/resource/d72956a0-836d-496f-bacb-9bdf3ae17aca/nchcproxy/Crowdsourced%20Mapping.zip |
revision id | d7d363a6-ac4a-4703-ac11-60ec470682ce |
sha256 | 4ca6c79bcfe0fc0894a4dd706d7b63053410d144b282c2dde39734af8df36140 |
state | active |
url type | upload |
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