LandScan global population distribution data from 2000 to 2017

LandScan global population distribution data comes from East View Cartographic, developed by the U.S. Department of Energy's Oak Ridge National Laboratory (ORNL). LandScan uses innovative methods such as GIS and remote sensing, and is the social standard for the release of global population data. It is the world's most accurate and reliable statistical analysis data of global population dynamics based on geographical location, with distribution models and the best resolution.
The Landscan global population distribution data set provides global demographic data from 2000 to 2017, with a spatial resolution close to 1km*1km. Preface – Bed Length Artificial Intelligence Tutorial

LandScan global population distribution data is a global population distribution data set that provides population estimates at the 1 square kilometer grid level. The dataset uses a variety of data sources, including remote sensing data, GIS data, census data, and other demographic data, as well as a number of machine learning and statistical modeling techniques to estimate the population in each grid.

This data can be used in a variety of applications such as public health, emergency response, environmental assessment, and market research. For example, in the field of public health, LandScan data can be used to monitor and predict disease outbreaks; in the field of emergency response, these data can help respond to natural disasters or other emergencies; in the field of environmental assessment, these data can be used to assess urbanization and The impact of land use change on ecosystems; in the field of market research, these data can be used to determine the market size and number of potential consumers in densely populated areas.

In summary, LandScan global population distribution data is a very useful dataset that can be used in a variety of fields and applications.

Dataset ID: 

LANDSCAN/GLOBAL_POP

Time range: 2000-2017

Scope: Global

Source:  eastview

Copy code snippet: 

var images = pie.ImageCollection("LANDSCAN/GLOBAL_POP")

band 

name type resolution Invalid value describe
pop int32 1000m -2147483647 Estimated number of residents in each grid cell

 Attributes

date

string

Image date

Code:

/**
* @File    :   TPDC/HWSD_V1_2
* @Time    :   2021/05/20
* @Author  :   piesat
* @Version :   1.0
* @Contact :   400-890-0662
* @License :   (C)Copyright 航天宏图信息技术股份有限公司
* @Desc    :   加载LANDSCAN全球人口分布数据集
*/

//加载LANDSCAN全球人口分布数据
var img = pie.ImageCollection("LANDSCAN/GLOBAL_POP")
             .filterDate("2016-1-1", "2016-12-31")
            .select("pop");
//定位地图中心
Map.setCenter(108.251, 33.515, 3);   
//加载影像
Map.addLayer(img, {min: 0, max: 3000, palette: ['060606', '337663', '337663', 'ffffff']}, "全球人口");

 Preface – Bed Length Artificial Intelligence Tutorial

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Origin blog.csdn.net/qq_31988139/article/details/132607142