Anuncio: Todos los proyectos no comerciales registrados para usar Earth Engine antes del
15 de abril de 2025 deben
verificar su elegibilidad no comercial para mantener el acceso a Earth Engine.
Descripción general de FeatureCollection
Organiza tus páginas con colecciones
Guarda y categoriza el contenido según tus preferencias.
Los grupos de atributos relacionados se pueden combinar en una FeatureCollection para permitir operaciones adicionales en todo el conjunto, como filtrar, ordenar y renderizar.
Además de los componentes simples (geometría y propiedades), las colecciones de componentes también pueden contener otras colecciones.
El constructor FeatureCollection
Una forma de crear un FeatureCollection es proporcionarle al constructor una lista de atributos. No es necesario que los componentes tengan el mismo tipo de geometría ni las mismas propiedades. Por ejemplo:
Editor de código (JavaScript)
// Make a list of Features.
var features = [
ee.Feature(ee.Geometry.Rectangle(30.01, 59.80, 30.59, 60.15), {name: 'Voronoi'}),
ee.Feature(ee.Geometry.Point(-73.96, 40.781), {name: 'Thiessen'}),
ee.Feature(ee.Geometry.Point(6.4806, 50.8012), {name: 'Dirichlet'})
];
// Create a FeatureCollection from the list and print it.
var fromList = ee.FeatureCollection(features);
print(fromList);
Configuración de Python
Consulta la página
Entorno de Python para obtener información sobre la API de Python y el uso de geemap para el desarrollo interactivo.
import ee
import geemap.core as geemap
Colab (Python)
# Make a list of Features.
features = [
ee.Feature(
ee.Geometry.Rectangle(30.01, 59.80, 30.59, 60.15), {'name': 'Voronoi'}
),
ee.Feature(ee.Geometry.Point(-73.96, 40.781), {'name': 'Thiessen'}),
ee.Feature(ee.Geometry.Point(6.4806, 50.8012), {'name': 'Dirichlet'}),
]
# Create a FeatureCollection from the list and print it.
from_list = ee.FeatureCollection(features)
display(from_list)
Las geometrías individuales también se pueden convertir en un FeatureCollection de
un solo Feature:
Editor de código (JavaScript)
// Create a FeatureCollection from a single geometry and print it.
var fromGeom = ee.FeatureCollection(ee.Geometry.Point(16.37, 48.225));
print(fromGeom);
Configuración de Python
Consulta la página
Entorno de Python para obtener información sobre la API de Python y el uso de geemap para el desarrollo interactivo.
import ee
import geemap.core as geemap
Colab (Python)
# Create a FeatureCollection from a single geometry and print it.
from_geom = ee.FeatureCollection(ee.Geometry.Point(16.37, 48.225))
display(from_geom)
Conjuntos de datos de tablas
Earth Engine aloja una variedad de conjuntos de datos de tablas. Para cargar un conjunto de datos de tabla, proporciona el ID de la tabla al constructor FeatureCollection. Por ejemplo, para cargar datos de las ecorregiones de RESOLVE, haz lo siguiente:
Editor de código (JavaScript)
var fc = ee.FeatureCollection('RESOLVE/ECOREGIONS/2017');
Map.setCenter(12.17, 20.96, 3);
Map.addLayer(fc, {}, 'ecoregions');
Configuración de Python
Consulta la página
Entorno de Python para obtener información sobre la API de Python y el uso de geemap para el desarrollo interactivo.
import ee
import geemap.core as geemap
Colab (Python)
fc = ee.FeatureCollection('RESOLVE/ECOREGIONS/2017')
m = geemap.Map()
m.set_center(12.17, 20.96, 3)
m.add_layer(fc, {}, 'ecoregions')
display(m)
Ten en cuenta que, al igual que con los conjuntos de datos de imágenes, puedes buscar conjuntos de datos de tablas en el Catálogo de datos de Earth Engine.
Muestras aleatorias
Para obtener una colección de puntos aleatorios en una región especificada, puedes usar lo siguiente:
Editor de código (JavaScript)
// Define an arbitrary region in which to compute random points.
var region = ee.Geometry.Rectangle(-119.224, 34.669, -99.536, 50.064);
// Create 1000 random points in the region.
var randomPoints = ee.FeatureCollection.randomPoints(region);
// Display the points.
Map.centerObject(randomPoints);
Map.addLayer(randomPoints, {}, 'random points');
Configuración de Python
Consulta la página
Entorno de Python para obtener información sobre la API de Python y el uso de geemap para el desarrollo interactivo.
import ee
import geemap.core as geemap
Colab (Python)
# Define an arbitrary region in which to compute random points.
region = ee.Geometry.Rectangle(-119.224, 34.669, -99.536, 50.064)
# Create 1000 random points in the region.
random_points = ee.FeatureCollection.randomPoints(region)
# Display the points.
m = geemap.Map()
m.center_object(random_points)
m.add_layer(random_points, {}, 'random points')
display(m)
Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons, y los ejemplos de código están sujetos a la licencia Apache 2.0. Para obtener más información, consulta las políticas del sitio de Google Developers. Java es una marca registrada de Oracle o sus afiliados.
Última actualización: 2025-07-25 (UTC)
[null,null,["Última actualización: 2025-07-25 (UTC)"],[[["\u003cp\u003e\u003ccode\u003eFeatureCollection\u003c/code\u003es group related features, enabling operations like filtering, sorting, and rendering.\u003c/p\u003e\n"],["\u003cp\u003eYou can create \u003ccode\u003eFeatureCollection\u003c/code\u003es using a list of features, a single geometry, or by loading a table dataset using its ID.\u003c/p\u003e\n"],["\u003cp\u003eEarth Engine provides access to various table datasets, searchable in the Data Catalog.\u003c/p\u003e\n"],["\u003cp\u003eRandom point samples within a specified region can be generated using \u003ccode\u003eee.FeatureCollection.randomPoints()\u003c/code\u003e.\u003c/p\u003e\n"]]],["`FeatureCollection` combines related features, enabling operations like filtering and sorting. You can create one by providing a list of features, even with varied geometries and properties, or from a single geometry. Loading table datasets is done by using the `FeatureCollection` constructor with a table ID. The `randomPoints` method generates random points within a region, and both table data and random points can be displayed.\n"],null,["# FeatureCollection Overview\n\nGroups of related features can be combined into a `FeatureCollection`, to\nenable additional operations on the entire set such as filtering, sorting and rendering.\nBesides just simple features (geometry + properties), feature collections can also contain\nother collections.\n\nThe `FeatureCollection` constructor\n-----------------------------------\n\nOne way to create a `FeatureCollection` is to provide the constructor with\na list of features. The features don't need to have the same geometry type or the same\nproperties. For example:\n\n### Code Editor (JavaScript)\n\n```javascript\n// Make a list of Features.\nvar features = [\n ee.Feature(ee.Geometry.Rectangle(30.01, 59.80, 30.59, 60.15), {name: 'Voronoi'}),\n ee.Feature(ee.Geometry.Point(-73.96, 40.781), {name: 'Thiessen'}),\n ee.Feature(ee.Geometry.Point(6.4806, 50.8012), {name: 'Dirichlet'})\n];\n\n// Create a FeatureCollection from the list and print it.\nvar fromList = ee.FeatureCollection(features);\nprint(fromList);\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# Make a list of Features.\nfeatures = [\n ee.Feature(\n ee.Geometry.Rectangle(30.01, 59.80, 30.59, 60.15), {'name': 'Voronoi'}\n ),\n ee.Feature(ee.Geometry.Point(-73.96, 40.781), {'name': 'Thiessen'}),\n ee.Feature(ee.Geometry.Point(6.4806, 50.8012), {'name': 'Dirichlet'}),\n]\n\n# Create a FeatureCollection from the list and print it.\nfrom_list = ee.FeatureCollection(features)\ndisplay(from_list)\n```\n\nIndividual geometries can also be turned into a `FeatureCollection` of\njust one `Feature`:\n\n### Code Editor (JavaScript)\n\n```javascript\n// Create a FeatureCollection from a single geometry and print it.\nvar fromGeom = ee.FeatureCollection(ee.Geometry.Point(16.37, 48.225));\nprint(fromGeom);\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# Create a FeatureCollection from a single geometry and print it.\nfrom_geom = ee.FeatureCollection(ee.Geometry.Point(16.37, 48.225))\ndisplay(from_geom)\n```\n\n### Table Datasets\n\nEarth Engine hosts a variety of table datasets. To load a table dataset, provide the\ntable ID to the `FeatureCollection` constructor. For example, to load\nRESOLVE Ecoregions data:\n\n### Code Editor (JavaScript)\n\n```javascript\nvar fc = ee.FeatureCollection('RESOLVE/ECOREGIONS/2017');\nMap.setCenter(12.17, 20.96, 3);\nMap.addLayer(fc, {}, 'ecoregions');\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\nfc = ee.FeatureCollection('RESOLVE/ECOREGIONS/2017')\nm = geemap.Map()\nm.set_center(12.17, 20.96, 3)\nm.add_layer(fc, {}, 'ecoregions')\ndisplay(m)\n```\n\nNote that as with image datasets, you can search for table datasets in the\n[Earth Engine Data Catalog](/earth-engine/datasets).\n\n### Random Samples\n\nTo get a collection of random points in a specified region, you can use:\n\n### Code Editor (JavaScript)\n\n```javascript\n// Define an arbitrary region in which to compute random points.\nvar region = ee.Geometry.Rectangle(-119.224, 34.669, -99.536, 50.064);\n\n// Create 1000 random points in the region.\nvar randomPoints = ee.FeatureCollection.randomPoints(region);\n\n// Display the points.\nMap.centerObject(randomPoints);\nMap.addLayer(randomPoints, {}, 'random points');\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# Define an arbitrary region in which to compute random points.\nregion = ee.Geometry.Rectangle(-119.224, 34.669, -99.536, 50.064)\n\n# Create 1000 random points in the region.\nrandom_points = ee.FeatureCollection.randomPoints(region)\n\n# Display the points.\nm = geemap.Map()\nm.center_object(random_points)\nm.add_layer(random_points, {}, 'random points')\ndisplay(m)\n```"]]
