GHSL: Global Human Settlement Layers, Built-Up Grid 1975-1990-2000-2015 (P2016) [deprecated]

JRC/GHSL/P2016/BUILT_LDSMT_GLOBE_V1
Dataset Availability
1975-01-01T00:00:00Z–2014-12-31T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.Image("JRC/GHSL/P2016/BUILT_LDSMT_GLOBE_V1")
Tags
built
builtup
jrc
landsat-derived
population

Description

The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information sources.

These data contain a multitemporal information layer on built-up presence as derived from Landsat image collections (GLS1975, GLS1990, GLS2000, and ad-hoc Landsat 8 collection 2013/2014).

The data have been produced by means of Global Human Settlement Layer methodology in 2015.

For more information visit: https://ghsl.jrc.ec.europa.eu/ghs_bu.php and https://ghsl.jrc.ec.europa.eu/documents/GHSL_data_access.pdf.

The Global Human Settlement Layer (GHSL) project is supported by the European Commission, Joint Research Center, and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet.

Bands

Pixel Size
38 meters

Bands

Name Min Max Pixel Size Description
built meters

Multitemporal built-up presence

cnfd 0 255 meters

Gaps-filled confidence grid on the built-up class aggregated for 2014. 0 = 100% confidence of no built-up, 127 = 50% decision cut off, 255 = 100% conficence of yes built-up

dm meters

Mosaic of data availability in the different epochs.

built Class Table

Value Color Description
1 #0c1d60

Water surface

2 #000000

Land no built-up in any epoch

3 #448564

Built-up from 2000 to 2014 epochs

4 #70daa4

Built-up from 1990 to 2000 epochs

5 #83ffbf

Built-up from 1975 to 1990 epochs

6 #ffffff

built-up up to 1975 epoch

dm Class Table

Value Color Description
1 None

No data availability for any epoch

2 None

1975

3 None

1990

4 None

1975 and 1990

5 None

2000

6 None

1975 and 2000

7 None

1990 and 2000

8 None

1975, 1990, and 2000

9 None

2015

10 None

1975 and 2015

11 None

1990 and 2015

12 None

1975, 1990, and 2015

13 None

2000 and 2015

14 None

1975, 2000, and 2015

15 None

1990, 2000. and 2015

16 None

1995, 1190, 2000, and 2015

Terms of Use

Terms of Use

The GHSL has been produced by the EC JRC as open and free data. Reuse is authorised, provided the source is acknowledged. For more information, please read the use conditions (European Commission Reuse and Copyright Notice).

Citations

Citations:
  • Pesaresi, Martino; Ehrilch, Daniele; Florczyk, Aneta J.; Freire, Sergio; Julea, Andreea; Kemper, Thomas; Soille, Pierre; Syrris, Vasileios (2015): GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014). European Commission, Joint Research Centre (JRC) [Dataset] PID: https://data.europa.eu/89h/jrc-ghsl-ghs_built_ldsmt_globe_r2015b

  • Pesaresi, Martino; Ehrlich, Daniele; Florczyk, Aneta J.; Freire, Sergio; Julea, Andreea; Kemper, Thomas; Soille, Pierre; Syrris, Vasileios (2015): GHS built-up confidence grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014). European Commission, Joint Research Centre (JRC) [Dataset] PID: https://data.europa.eu/89h/jrc-ghsl-ghs_built_ldsmtcnfd_globe_r2015b

  • Pesaresi, Martino; Ehrlich, Daniele; Florczyk, Aneta J.; Freire, Sergio; Julea, Andreea; Kemper, Thomas; Soille, Pierre; Syrris, Vasileios (2015): GHS built-up datamask grid derived from Landsat, multitemporal (1975, 1990, 2000, 2014). European Commission, Joint Research Centre (JRC) [Dataset] PID: https://data.europa.eu/89h/jrc-ghsl-ghs_built_ldsmtdm_globe_r2015b

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.Image('JRC/GHSL/P2016/BUILT_LDSMT_GLOBE_V1');
var builtUpMultitemporal = dataset.select('built');
var visParams = {
  min: 1.0,
  max: 6.0,
  palette: ['0c1d60', '000000', '448564', '70daa4', '83ffbf', 'ffffff'],
};
Map.setCenter(8.9957, 45.5718, 12);
Map.addLayer(builtUpMultitemporal, visParams, 'Built-Up Multitemporal');
Open in Code Editor