PrecisionMapper
Description
Python package to communicate with precisionmapper.com
Requirements
- Python 3
- pip3
Installation
pip3 install -U precisionmapperPackage usage
# -*- coding: utf-8 -*-
from precisionmapper import PrecisionMapper
pm = PrecisionMapper(login=_LOGIN, password=_PASSWORD)
pm.sign_in()
shared_surveys = pm.get_shared_surveys()
for survey in shared_surveys:
print(survey)Example output :
[High School Sample] (California, United States - 12/02/2017 23:52) : 103 images, 3.69 GB, sensor : RGB, id : 17130
[Neighborhood Construction Sample] (Virginia, United States - 10/02/2017 16:36) : 34 images, 1.56 GB, sensor : RGB, id : 17590
[Micasense RedEdge Sample] (N/A - 31/01/2017 21:24) : 505 images, 2.37 GB, sensor : Blue, Green, Red, NIR, Red edge, id : 17321
[Palm Tree Farm Sample] (Bahia, Brazil - 08/07/2016 17:30) : 175 images, 12.4 GB, sensor : RGB, id : 17453
[Solar Panel Farm Sample] (Georgia, United States - 27/05/2016 23:31) : 168 images, 3.12 GB, sensor : RGB, id : 17424
[Construction Site Sample] (Florida, United States - 03/02/2016 17:03) : 287 images, 6.52 GB, sensor : BGNIR, id : 17135
[Wheat Disease Sample] (Leicestershire, United Kingdom - 15/06/2015 12:45) : 121 images, 4.81 GB, sensor : RGB, id : 2946
[Wheat - Sample 1] (Leicestershire, United Kingdom - 15/06/2015 11:55) : 225 images, 10.5 GB, sensor : RGB, id : 2947
[Wheat - Sample 2] (Leicestershire, United Kingdom - 15/06/2015 11:04) : 242 images, 7.65 GB, sensor : BGNIR, id : 2948
[3D Sample] (City of Stoke-on-Trent, United Kingdom - 22/05/2015 13:20) : 477 images, 10.6 GB, sensor : RGB, id : 2942API server usage
An API server based on Flask is also available for this project.
Read the documentation in the python-flask folder.
