Title
Habitat diversity indicators (2017-2021_ grid)
License
Not Specified
+ The original author did not specify a license.

Abstract

The dataset contains a collection of habitat diversity metrics that are computed from the maps of agricultural land use in Germany. The metrics are calculated at the level of a 10x10 km grid for Germany at annual basis for the years 2017 to 2021.

For a description of the fields please see the supplemental information below.

Publication Date
Type
Vector Data
Keywords
Category
Farming
Rearing of animals and/or cultivation of plants. Examples: agriculture, irrigation, aquaculture, plantations, herding, pests and diseases affecting crops and livestock.
Regions
Germany
Responsible
Group
Fernerkundungsatlas
Attribution
Tetteh, Gideon; Schwieder, Marcel; Gocht, Alexander; Erasmi, Stefan: Habitat diversity indicators for open land in Germany (2017-2021).
Maintenance Frequency
data is updated every year
Restrictions

Data are available on request from Marcel Schwieder.

Edition
Version 2.01
Purpose

The data provide the basis for the Thünen Earth Observation Atlas.

Language
English
Supplemental Information

# Field description (ALUC = Agricultural land use class)
saa_* = Share of ALUC area in the total agricultural area (0 <= saa <= 1)
sta_* = Share of ALUC area in the total area of the polygon (0 <= sta <= 1)
shei = Shannons's evenness index (0 <= shei < 1)
sidi = Simpson's diversity index (0 <= sidi < 1)
pd = Patch density (pd >= 0)
ed = Edge Density (ed >= 0)
tperi_m = total perimeter (in meters) of all agricultural fields intersecting the polygon
tagra_ha = total agricultural area (in hectares) of the polygon
tarea_ha = total area (in hectares) of the polygon


# Agricultural land use class (ALUC)
200    Permanent grassland
1101    Winter wheat
1102    Winter barley
1103    Winter rye
1201    Spring barley
1202    Spring oat
1300    Maize
1401    Potato
1402    Sugar beet 
1501    Winter rapeseed
1502    Sunflower
1602    Cultivated grassland
1603    Vegetables
1611    Peas
1612    Broad bean
1613    Lupin
1614    Soy
3001    Small woody features
3002    Other agricultural areas
3003    Fallow land
3004    Other areas
4001    Grapevine
4002    Hops
4003    Orchard

Spatial Representation Type
vector data is used to represent geographic data
Attribute Name Label Description
wkb_geometry
ogc_fid
saa_200_2017
saa_1101_2017
saa_1102_2017
saa_1103_2017
saa_1201_2017
saa_1202_2017
saa_1300_2017
saa_1401_2017
saa_1402_2017
saa_1501_2017
saa_1502_2017
saa_1602_2017
saa_1603_2017
saa_1611_2017
saa_1612_2017
saa_1613_2017
saa_1614_2017
saa_3001_2017
saa_3002_2017
saa_3003_2017
saa_3004_2017
saa_4001_2017
saa_4002_2017
saa_4003_2017
sta_200_2017
sta_1101_2017
sta_1102_2017
sta_1103_2017
sta_1201_2017
sta_1202_2017
sta_1300_2017
sta_1401_2017
sta_1402_2017
sta_1501_2017
sta_1502_2017
sta_1602_2017
sta_1603_2017
sta_1611_2017
sta_1612_2017
sta_1613_2017
sta_1614_2017
sta_3001_2017
sta_3002_2017
sta_3003_2017
sta_3004_2017
sta_4001_2017
sta_4002_2017
sta_4003_2017
shei_2017
sidi_2017
pd_2017
ed_2017
tperi_m_2017
tagra_ha_2017
tarea_ha_2017
saa_200_2018
saa_1101_2018
saa_1102_2018
saa_1103_2018
saa_1201_2018
saa_1202_2018
saa_1300_2018
saa_1401_2018
saa_1402_2018
saa_1501_2018
saa_1502_2018
saa_1602_2018
saa_1603_2018
saa_1611_2018
saa_1612_2018
saa_1613_2018
saa_1614_2018
saa_3001_2018
saa_3002_2018
saa_3003_2018
saa_3004_2018
saa_4001_2018
saa_4002_2018
saa_4003_2018
sta_200_2018
sta_1101_2018
sta_1102_2018
sta_1103_2018
sta_1201_2018
sta_1202_2018
sta_1300_2018
sta_1401_2018
sta_1402_2018
sta_1501_2018
sta_1502_2018
sta_1602_2018
sta_1603_2018
sta_1611_2018
sta_1612_2018
sta_1613_2018
sta_1614_2018
sta_3001_2018
sta_3002_2018
sta_3003_2018
sta_3004_2018
sta_4001_2018
sta_4002_2018
sta_4003_2018
shei_2018
sidi_2018
pd_2018
ed_2018
tperi_m_2018
tagra_ha_2018
tarea_ha_2018
saa_200_2019
saa_1101_2019
saa_1102_2019
saa_1103_2019
saa_1201_2019
saa_1202_2019
saa_1300_2019
saa_1401_2019
saa_1402_2019
saa_1501_2019
saa_1502_2019
saa_1602_2019
saa_1603_2019
saa_1611_2019
saa_1612_2019
saa_1613_2019
saa_1614_2019
saa_3001_2019
saa_3002_2019
saa_3003_2019
saa_3004_2019
saa_4001_2019
saa_4002_2019
saa_4003_2019
sta_200_2019
sta_1101_2019
sta_1102_2019
sta_1103_2019
sta_1201_2019
sta_1202_2019
sta_1300_2019
sta_1401_2019
sta_1402_2019
sta_1501_2019
sta_1502_2019
sta_1602_2019
sta_1603_2019
sta_1611_2019
sta_1612_2019
sta_1613_2019
sta_1614_2019
sta_3001_2019
sta_3002_2019
sta_3003_2019
sta_3004_2019
sta_4001_2019
sta_4002_2019
sta_4003_2019
shei_2019
sidi_2019
pd_2019
ed_2019
tperi_m_2019
tagra_ha_2019
tarea_ha_2019
saa_200_2020
saa_1101_2020
saa_1102_2020
saa_1103_2020
saa_1201_2020
saa_1202_2020
saa_1300_2020
saa_1401_2020
saa_1402_2020
saa_1501_2020
saa_1502_2020
saa_1602_2020
saa_1603_2020
saa_1611_2020
saa_1612_2020
saa_1613_2020
saa_1614_2020
saa_3001_2020
saa_3002_2020
saa_3003_2020
saa_3004_2020
saa_4001_2020
saa_4002_2020
saa_4003_2020
sta_200_2020
sta_1101_2020
sta_1102_2020
sta_1103_2020
sta_1201_2020
sta_1202_2020
sta_1300_2020
sta_1401_2020
sta_1402_2020
sta_1501_2020
sta_1502_2020
sta_1602_2020
sta_1603_2020
sta_1611_2020
sta_1612_2020
sta_1613_2020
sta_1614_2020
sta_3001_2020
sta_3002_2020
sta_3003_2020
sta_3004_2020
sta_4001_2020
sta_4002_2020
sta_4003_2020
shei_2020
sidi_2020
pd_2020
ed_2020
tperi_m_2020
tagra_ha_2020
tarea_ha_2020
saa_200_2021
saa_1101_2021
saa_1102_2021
saa_1103_2021
saa_1201_2021
saa_1202_2021
saa_1300_2021
saa_1401_2021
saa_1402_2021
saa_1501_2021
saa_1502_2021
saa_1602_2021
saa_1603_2021
saa_1611_2021
saa_1612_2021
saa_1613_2021
saa_1614_2021
saa_3001_2021
saa_3002_2021
saa_3003_2021
saa_3004_2021
saa_4001_2021
saa_4002_2021
saa_4003_2021
sta_200_2021
sta_1101_2021
sta_1102_2021
sta_1103_2021
sta_1201_2021
sta_1202_2021
sta_1300_2021
sta_1401_2021
sta_1402_2021
sta_1501_2021
sta_1502_2021
sta_1602_2021
sta_1603_2021
sta_1611_2021
sta_1612_2021
sta_1613_2021
sta_1614_2021
sta_3001_2021
sta_3002_2021
sta_3003_2021
sta_3004_2021
sta_4001_2021
sta_4002_2021
sta_4003_2021
shei_2021
sidi_2021
pd_2021
ed_2021
tperi_m_2021
tagra_ha_2021
tarea_ha_2021