Pengumuman: Semua project nonkomersial yang terdaftar untuk menggunakan Earth Engine sebelum
15 April 2025 harus
memverifikasi kelayakan nonkomersial untuk mempertahankan akses Earth Engine.
Informasi dan Metadata ImageCollection
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Seperti Gambar, ada berbagai cara untuk mendapatkan informasi tentang
ImageCollection. Koleksi dapat dicetak langsung ke konsol,
tetapi cetakan konsol dibatasi hingga 5.000 elemen. Koleksi yang berisi lebih dari 5.000
gambar harus difilter sebelum dicetak. Mencetak koleksi besar akan
menjadi lebih lambat. Contoh berikut menunjukkan berbagai cara untuk mendapatkan informasi tentang koleksi gambar secara terprogram:
Editor Kode (JavaScript)
// Load a Landsat 8 ImageCollection for a single path-row.
var collection = ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')
.filter(ee.Filter.eq('WRS_PATH', 44))
.filter(ee.Filter.eq('WRS_ROW', 34))
.filterDate('2014-03-01', '2014-08-01');
print('Collection: ', collection);
// Get the number of images.
var count = collection.size();
print('Count: ', count);
// Get the date range of images in the collection.
var range = collection.reduceColumns(ee.Reducer.minMax(), ['system:time_start'])
print('Date range: ', ee.Date(range.get('min')), ee.Date(range.get('max')))
// Get statistics for a property of the images in the collection.
var sunStats = collection.aggregate_stats('SUN_ELEVATION');
print('Sun elevation statistics: ', sunStats);
// Sort by a cloud cover property, get the least cloudy image.
var image = ee.Image(collection.sort('CLOUD_COVER').first());
print('Least cloudy image: ', image);
// Limit the collection to the 10 most recent images.
var recent = collection.sort('system:time_start', false).limit(10);
print('Recent images: ', recent);
Penyiapan Python
Lihat halaman
Lingkungan Python untuk mengetahui informasi tentang Python API dan penggunaan
geemap untuk pengembangan interaktif.
import ee
import geemap.core as geemap
Colab (Python)
# Load a Landsat 8 ImageCollection for a single path-row.
collection = (
ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')
.filter(ee.Filter.eq('WRS_PATH', 44))
.filter(ee.Filter.eq('WRS_ROW', 34))
.filterDate('2014-03-01', '2014-08-01')
)
display('Collection:', collection)
# Get the number of images.
count = collection.size()
display('Count:', count)
# Get the date range of images in the collection.
range = collection.reduceColumns(ee.Reducer.minMax(), ['system:time_start'])
display('Date range:', ee.Date(range.get('min')), ee.Date(range.get('max')))
# Get statistics for a property of the images in the collection.
sun_stats = collection.aggregate_stats('SUN_ELEVATION')
display('Sun elevation statistics:', sun_stats)
# Sort by a cloud cover property, get the least cloudy image.
image = ee.Image(collection.sort('CLOUD_COVER').first())
display('Least cloudy image:', image)
# Limit the collection to the 10 most recent images.
recent = collection.sort('system:time_start', False).limit(10)
display('Recent images:', recent)
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[[["\u003cp\u003eThis guide demonstrates how to programmatically retrieve information from Earth Engine ImageCollections, such as size, date range, image properties, and specific images.\u003c/p\u003e\n"],["\u003cp\u003eYou can print an ImageCollection to the console, but for collections larger than 5000 images, filtering is necessary before printing to avoid slowdowns.\u003c/p\u003e\n"],["\u003cp\u003eExamples are provided using the JavaScript and Python APIs for tasks like filtering, sorting, getting statistics, and limiting the collection size.\u003c/p\u003e\n"],["\u003cp\u003eIt shows how to get specific images from the collection, including the least cloudy or the most recent ones, based on properties and sorting.\u003c/p\u003e\n"],["\u003cp\u003eThe code snippets are readily usable in Code Editor, Colab, or any Python environment set up for Earth Engine, with \u003ccode\u003egeemap\u003c/code\u003e suggested for interactive Python development.\u003c/p\u003e\n"]]],[],null,["# ImageCollection Information and Metadata\n\nAs with Images, there are a variety of ways to get information about an\n`ImageCollection`. The collection can be printed directly to the console,\nbut the console printout is limited to 5000 elements. Collections larger than 5000\nimages will need to be filtered before printing. Printing a large collection will be\ncorrespondingly slower. The following example shows various ways of getting information\nabout image collections programmatically:\n\n### Code Editor (JavaScript)\n\n```javascript\n// Load a Landsat 8 ImageCollection for a single path-row.\nvar collection = ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')\n .filter(ee.Filter.eq('WRS_PATH', 44))\n .filter(ee.Filter.eq('WRS_ROW', 34))\n .filterDate('2014-03-01', '2014-08-01');\nprint('Collection: ', collection);\n\n// Get the number of images.\nvar count = collection.size();\nprint('Count: ', count);\n\n// Get the date range of images in the collection.\nvar range = collection.reduceColumns(ee.Reducer.minMax(), ['system:time_start'])\nprint('Date range: ', ee.Date(range.get('min')), ee.Date(range.get('max')))\n\n// Get statistics for a property of the images in the collection.\nvar sunStats = collection.aggregate_stats('SUN_ELEVATION');\nprint('Sun elevation statistics: ', sunStats);\n\n// Sort by a cloud cover property, get the least cloudy image.\nvar image = ee.Image(collection.sort('CLOUD_COVER').first());\nprint('Least cloudy image: ', image);\n\n// Limit the collection to the 10 most recent images.\nvar recent = collection.sort('system:time_start', false).limit(10);\nprint('Recent images: ', recent);\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# Load a Landsat 8 ImageCollection for a single path-row.\ncollection = (\n ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')\n .filter(ee.Filter.eq('WRS_PATH', 44))\n .filter(ee.Filter.eq('WRS_ROW', 34))\n .filterDate('2014-03-01', '2014-08-01')\n)\ndisplay('Collection:', collection)\n\n# Get the number of images.\ncount = collection.size()\ndisplay('Count:', count)\n\n# Get the date range of images in the collection.\nrange = collection.reduceColumns(ee.Reducer.minMax(), ['system:time_start'])\ndisplay('Date range:', ee.Date(range.get('min')), ee.Date(range.get('max')))\n\n# Get statistics for a property of the images in the collection.\nsun_stats = collection.aggregate_stats('SUN_ELEVATION')\ndisplay('Sun elevation statistics:', sun_stats)\n\n# Sort by a cloud cover property, get the least cloudy image.\nimage = ee.Image(collection.sort('CLOUD_COVER').first())\ndisplay('Least cloudy image:', image)\n\n# Limit the collection to the 10 most recent images.\nrecent = collection.sort('system:time_start', False).limit(10)\ndisplay('Recent images:', recent)\n```"]]
