Gee - Global Human Settlements grid data 1975-1990-2000-2014

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 GHSL It depends on the design and implementation of new spatial data mining technology , Allow automated processing and extraction of analysis and knowledge from large amounts of heterogeneous data , These data include ： The global 、 Fine scale satellite image data stream 、 Census data and population sources or voluntary geographic information sources .

GHS-SMOD yes GHSL Adopted urban and rural settlement classification model . It is the degree of urbanization ( DEGURBA ) Concept in GHSL Representation in data scenarios .GHS-SMOD Every grid in is integrated GHSL Built up areas and GHSL Population grid data generation , For reference periods ：1975、1990、2000、2015.

DEGURBA The classification model is based on the definition of human cities and settlements ： It USES 1 Square kilometer grid cells are used as the main input to calculate the population at a given point in time .DEGURBA The population grid cells are divided into three main categories ：“ City Center ”（ City ）、“ Urban agglomeration ”（ Towns and suburbs ） and “ Rural grid cells ”.（ according to ）. stay GHS-SMOD In the implementation , These class abstractions are transformed into “ High density cluster (HDC)”、“ Low density cluster (LDC)” and “ Rural grid cells (RUR)”.

“HDC” And DEGURBA Of “ City Center ” The difference is that , They explain the excessive fragmentation of cities with large low-density residential development areas by integrating built-up floors . stay GHS-SMOD In the middle ,“HDC” Is a continuous population grid cell （4 Connectivity , Gap filling ） Spatial generalization of , Its density shall be at least per square kilometer 1500 Density of residents or building surface > 50% , The minimum total resident population is 50000.“LDC” Is a continuous mesh cell , The density shall be at least per square kilometer 300 Residents , The minimum total population is 5000.“RUR” yes “HDC” and “LDC” Grid cells outside ' Population > 0 And < 300. Everything else is classified as population = 0 The residential area of .

The dataset is in World Mollweide Projection (EPSG:54009) Generated in the .

For more information , Please visit ： http: //ghsl.jrc.ec.europa.eu/ghs_smod.php.

Global human settlements layer (GHSL) The project was approved by the European Commission 、 Support from the joint research centre and the regional and Urban Policy Directorate .GHSL Generate new global spatial information 、 Evidence based analysis and description of the knowledge of human existence on earth .

The resolution of the
1000 rice

Band

full name	describe
smod_code	Degree of Urbanization

smod_code Class table

value	Color	describe
0	000000	Residential area
1	448564	RUR（ Rural grid cells ）
2	70daa4	LDC（ Low density cluster ）
3	ffffff	HDC（ High density cluster ）

Terms of use

GHSL from EC JRC As open and free data production . Authorize reuse , The premise is to confirm the source . For more information , Please read the conditions of use （ European Commission reuse and copyright notice ）.

Code ：

var dataset = ee.ImageCollection('JRC/GHSL/P2016/SMOD_POP_GLOBE_V1')                  .filter(ee.Filter.date('2015-01-01', '2015-12-31'));var degreeOfUrbanization = dataset.select('smod_code');var visParams = {  min: 0.0,  max: 3.0,  palette: ['000000', '448564', '70daa4', 'ffffff'],};Map.setCenter(114.96, 31.13, 4);Map.addLayer(degreeOfUrbanization, visParams, 'Degree of Urbanization');

Citations:

• Pesaresi, Martino; Freire, Sergio (2016): GHS Settlement grid following the REGIO model 2014 in application to GHSL Landsat and CIESIN GPW v4-multitemporal (1975-1990-2000-2015). European Commission, Joint Research Centre (JRC) [Dataset] PID: Joint Research Centre Data Catalogue - GHS-SMOD R2016A - GHS settlement grid, following t... - European Commission

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