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Google Earth Engine(GEE)——全球建筑物矢量图免费下载Open Buildings V1 Polygons

之前我们已经介绍过了关于微软全球建筑物提取的矢量图。

数据介绍:

这个大规模的开放数据集包括从高分辨率的50厘米卫星图像中得出的建筑物轮廓。它包含了5.16亿个建筑物的检测结果,覆盖了1940万平方公里的区域(占非洲大陆的64%)。

对于这个数据集中的每一栋建筑,我们都包括描述其在地面上的足迹的多边形、表明我们对这是一栋建筑的确定程度的信心分数,以及与建筑中心相对应的Plus代码。没有关于建筑物类型、街道地址或除几何形状以外的任何细节的信息。

建筑物足迹对一系列重要的应用很有用:从人口估计、城市规划和人道主义反应到环境和气候科学。该项目设在加纳,目前的重点是非洲大陆。

推断工作是在2021年4月期间进行的。

时间:

2021-04-30T00:00:00 - 2021-04-30T00:00:00

Dataset Provider

​​Google Research - Open Buildings​​

Collection Snippet

​ee.FeatureCollection("GOOGLE/Research/open-buildings/v1/polygons")​

代码:

 Google Earth Engine(GEE)——全球建筑物矢量图免费下载Open Buildings V1 Polygons_build

// Visualization of GOOGLE/Research/open-buildings/v1/polygons.

var t = ee.FeatureCollection('GOOGLE/Research/open-buildings/v1/polygons');

var t_060_065 = t.filter('confidence >= 0.60 && confidence < 0.65');
var t_065_070 = t.filter('confidence >= 0.65 && confidence < 0.70');
var t_gte_070 = t.filter('confidence >= 0.70');

Map.addLayer(t_060_065, {color: 'FF0000'}, 'Buildings confidence [0.60; 0.65)');
Map.addLayer(t_065_070, {color: 'FFFF00'}, 'Buildings confidence [0.65; 0.70)');
Map.addLayer(t_gte_070, {color: '00FF00'}, 'Buildings confidence >= 0.70');
Map.setCenter(3.389, 6.492, 17); // Lagos, Nigeria
Map.setOptions('SATELLITE');

 

Google Earth Engine(GEE)——全球建筑物矢量图免费下载Open Buildings V1 Polygons_提取_02

 Google Earth Engine(GEE)——全球建筑物矢量图免费下载Open Buildings V1 Polygons_build_03

FeatureView Snippet(快速加载矢量的最新方法,没有瓦片感)

​ui.Map.FeatureViewLayer("GOOGLE/Research/open-buildings/v1/polygons_FeatureView")​

 代码:

 

var fvLayer = ui.Map.FeatureViewLayer(
'GOOGLE/Research/open-buildings/v1/polygons_FeatureView');

var visParams = {
rules: [
{
filter: ee.Filter.expression('confidence >= 0.60 && confidence < 0.65'),
color: 'FF0000'
},
{
filter: ee.Filter.expression('confidence >= 0.65 && confidence < 0.70'),
color: 'FFFF00'
},
{
filter: ee.Filter.expression('confidence >= 0.70'),
color: '00FF00'
},
]
};

fvLayer.setVisParams(visParams);
fvLayer.setName('Buildings');

Map.setCenter(3.389, 6.492, 17); // Lagos, Nigeria
Map.add(fvLayer);
Map.setOptions('SATELLITE');

FeatureView ID

GOOGLE/Research/open-buildings/v1/polygons_FeatureView

Ingestion parameters

Thinning option

Value

Max features per tile

12000

Thinning strategy

Higher density

sourceVersion

2021-07-20T21:22:23.620127Z

 波段:

Name

Type

Description

area_in_meters

Double

Area in square meters of the polygon.

confidence

Double

Confidence score [0.5;1.0] assigned by the model.

full_plus_code

String

The full [Plus Code](https://plus.codes/) at the building polygon centroid.

longitude_latitude

undefined

Centroid of the polygon.

数据引用:

W. Sirko, S. Kashubin, M. Ritter, A. Annkah, Y.S.E. Bouchareb, Y. Dauphin, D. Keysers, M. Neumann, M. Cisse, J.A. Quinn. Continental-scale building detection from high resolution satellite imagery. ​​arXiv:2107.12283​​, 2021. 


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