Shrubland land cover

Key: copernicus_shrub | Category: Environmental |

you can find follow up years under "related identifiers/continued by"

Spatial and temporal coverage
Shape type	First	Last	Coverage
Country			100.00 %
Region			100.00 %
District			100.00 %
Total	2015	2019	100.00 %

Data Layer information

Source file is available (Show file)

from datalayers.datasources.copernicus_layer import CopernicusLayer

class CopernicusShrub(CopernicusLayer):

    def __init__(self):
        super().__init__()

        self.area_of_interest = [
            'shrubland',
        ]

Data is available locally

Data is loaded into the database

Log | Files

Operation	Proportion within the area of interest
Database unit	Percentage
Value type	`percentage`
Temporal resolution	`year`

Original data information

Information	Description
Format	TIFF
Format unit	Binary (0=no, 1=yes)
Spatial details	0.1km raster
Spatial coverage	Global
Temporal details	Annualy
Temporal coverage	2015-2019
Source	Copernicus
Language	eng
License	CC-BY-4.0
Date published
Date last accessed	None
Citation	10.3390/rs12061044

The Data Layers data can be accessed via an API. Below you see minimal code snippets to query the data. For more information regarding the API please look at the documentation.

import requests
from requests.auth import HTTPBasicAuth
from urllib.parse import urlencode

import pandas as pd
import matplotlib.pyplot as plt

# set host, like http://localhost:8000, to where your Data Hub is running
HOST = ''
# in case of basic auth set to HTTPBasicAuth('user', 'password')
AUTH = None

q = {
    'datalayer_key': 'copernicus_shrub',

    # Optional filters to narrow down the returned data:
    #'shape_id': '',
    #'shape_type': '',
    #'start_date': '',
    #'end_date': '',
}
d = requests.get(f"{HOST}/api/datalayers/data/?{urlencode(q)}", auth=AUTH).json()
copernicus_shrub_df = pd.DataFrame(d['data'])
copernicus_shrub_df['year'] = pd.to_datetime(copernicus_shrub_df['year'], format="%Y")

There is no ready use snippet for API usage in R yet, though you can adapt the Python example to your R needs.

Shrubland land cover

Data Layer information

src/datalayer/copernicus_shrub.py

Original data information