공지사항:
2025년 4월 15일 전에 Earth Engine 사용을 위해 등록된 모든 비상업용 프로젝트는 Earth Engine 액세스를 유지하기 위해
비상업용 자격 요건을 인증해야 합니다.
ee.Filter.eq
컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
지정된 값과 동일한 메타데이터로 필터링합니다.
생성된 필터를 반환합니다.
사용 | 반환 값 |
---|
ee.Filter.eq(name, value) | 필터 |
인수 | 유형 | 세부정보 |
---|
name | 문자열 | 필터링할 속성 이름입니다. |
value | 객체 | 비교할 값입니다. |
예
코드 편집기 (JavaScript)
// The GOES Mesoscale images come in two domains.
// Separate the two groups using ee.Filter.eq.
var goes17_mcmipm = ee.ImageCollection('NOAA/GOES/17/MCMIPM');
var goes17_mcmipm_2019 =
goes17_mcmipm.filterDate(ee.Date('2019-11-01'), ee.Date('2019-11-05'));
var d1 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 1));
var d2 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 2));
print(goes17_mcmipm_2019.size());
print(d1.size());
print(d2.size());
Python 설정
Python API 및 geemap
를 사용한 대화형 개발에 관한 자세한 내용은
Python 환경 페이지를 참고하세요.
import ee
import geemap.core as geemap
Colab (Python)
# The GOES Mesoscale images come in two domains.
# Separate the two groups using ee.Filter.eq.
goes17_mcmipm = ee.ImageCollection('NOAA/GOES/17/MCMIPM')
goes17_mcmipm_2019 = goes17_mcmipm.filterDate(
ee.Date('2019-11-01'), ee.Date('2019-11-05')
)
d1 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 1))
d2 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 2))
print(goes17_mcmipm_2019.size().getInfo())
print(d1.size().getInfo())
print(d2.size().getInfo())
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[[["\u003cp\u003e\u003ccode\u003eee.Filter.eq()\u003c/code\u003e filters an ImageCollection based on property values, returning a new filtered collection.\u003c/p\u003e\n"],["\u003cp\u003eIt takes two arguments: \u003ccode\u003ename\u003c/code\u003e (the property to filter on) and \u003ccode\u003evalue\u003c/code\u003e (the value to match).\u003c/p\u003e\n"],["\u003cp\u003eThis filter is useful for selecting specific data within an ImageCollection, such as isolating images with particular metadata attributes, as demonstrated with the GOES Mesoscale imagery example.\u003c/p\u003e\n"]]],[],null,["# ee.Filter.eq\n\n\u003cbr /\u003e\n\nFilter to metadata equal to the given value.\n\n\u003cbr /\u003e\n\nReturns the constructed filter.\n\n| Usage | Returns |\n|-----------------------------|---------|\n| `ee.Filter.eq(name, value)` | Filter |\n\n| Argument | Type | Details |\n|----------|--------|---------------------------------|\n| `name` | String | The property name to filter on. |\n| `value` | Object | The value to compare against. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// The GOES Mesoscale images come in two domains.\n// Separate the two groups using ee.Filter.eq.\nvar goes17_mcmipm = ee.ImageCollection('NOAA/GOES/17/MCMIPM');\nvar goes17_mcmipm_2019 =\n goes17_mcmipm.filterDate(ee.Date('2019-11-01'), ee.Date('2019-11-05'));\n\nvar d1 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 1));\nvar d2 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 2));\nprint(goes17_mcmipm_2019.size()); \nprint(d1.size());\nprint(d2.size());\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# The GOES Mesoscale images come in two domains.\n# Separate the two groups using ee.Filter.eq.\ngoes17_mcmipm = ee.ImageCollection('NOAA/GOES/17/MCMIPM')\ngoes17_mcmipm_2019 = goes17_mcmipm.filterDate(\n ee.Date('2019-11-01'), ee.Date('2019-11-05')\n)\n\nd1 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 1))\nd2 = goes17_mcmipm_2019.filter(ee.Filter.eq('domain', 2))\nprint(goes17_mcmipm_2019.size().getInfo())\nprint(d1.size().getInfo())\nprint(d2.size().getInfo())\n```"]]