ee.FeatureCollection.filterBounds

用于按与几何图形的交集过滤集合的快捷方式。如果集合中某个商品的覆盖区无法与指定几何图形相交，则该商品将被排除。

这等同于 this.filter(ee.Filter.bounds(...))。

返回过滤后的集合。

用法返回
FeatureCollection.filterBounds(geometry)集合
参数类型详细信息
此：collection集合Collection 实例。
geometryComputedObject|FeatureCollection|Geometry要相交的几何图形、要素或集合。

示例

代码编辑器 (JavaScript)

// FeatureCollection of global power plants.
var powerPlants = ee.FeatureCollection('WRI/GPPD/power_plants');

// FeatureCollection of counties in Oregon, USA.
var oregonCounties = ee.FeatureCollection('TIGER/2018/States')
                         .filter('STATEFP == "41"');

// Filter global power plants to those that intersect Oregon counties.
var oregonPowerPlants = powerPlants.filterBounds(oregonCounties.geometry());

// Display Oregon power plants on the map.
Map.setCenter(-120.492, 44.109, 6);
Map.addLayer(oregonPowerPlants);

Python 设置

如需了解 Python API 和如何使用 geemap 进行交互式开发，请参阅 Python 环境页面。

import ee
import geemap.core as geemap

Colab (Python)

# FeatureCollection of global power plants.
power_plants = ee.FeatureCollection('WRI/GPPD/power_plants')

# FeatureCollection of counties in Oregon, USA.
oregon_counties = ee.FeatureCollection('TIGER/2018/States').filter(
    'STATEFP == "41"'
)

# Filter global power plants to those that intersect Oregon counties.
oregon_power_plants = power_plants.filterBounds(oregon_counties.geometry())

# Display Oregon power plants on the map.
m = geemap.Map()
m.set_center(-120.492, 44.109, 6)
m.add_layer(oregon_power_plants)
m