Datafetch
A Python package for retrieving 3DEP's geospatial data and enable users to easily manipulate, transform, subsample and visualize the data.
LiDAR (light detection and ranging) is a popular remote sensing mechanism used for measuring the exact distance of an object on the earth's surface. Since the introduction of GPS technology, it has become a widely used method for calculating accurate geospatial measurements. These geospatial data are used for different analysis purposes.
The Purpose of this project is to help users retrieve these data and enable them to use it easily
The Project will make it easier for users to access the AWS public dataset.
Data Source Used:
License
1 maintainer
Metadata
1 maintainer
Release files for AgriTech 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| AgriTech-0.1.tar.gz | 5.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| AgriTech-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 kB
Release files / AgriTech-0.1.tar.gz
| Download URL | AgriTech-0.1.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6
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Release files / AgriTech-0.1-py3-none-any.whl
| Download URL | AgriTech-0.1-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6
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