이 데이터 세트에는 1984년부터 2019년까지의 지표수 위치 및 시간 분포 지도가 포함되어 있으며 이러한 수면의 범위와 변화에 관한 통계가 제공됩니다.
자세한 내용은 관련 학술지 논문인 전 세계 지표수 및 장기적 변화의 고해상도 매핑(Nature, 2016) 및 온라인 데이터 사용자 가이드를 참고하세요.
이 데이터는 1984년 3월 16일과 2019년 12월 31일 사이에 획득한 Landsat 5,7,8의 장면 4, 185, 439개를 사용하여 생성되었습니다.
각 픽셀은 전문가 시스템을 사용하여 물 / 물 아님으로 개별적으로 분류되었으며 결과는 변경 감지를 위해 전체 기간과 두 시대 (1984~1999년, 2000~2019년)에 대한 월별 기록으로 수집되었습니다.
이 매핑 레이어 제품은 7개의 밴드가 포함된 이미지 1개로 구성됩니다.
지난 35년간의 지표수의 공간적 및 시간적 분포의 다양한 측면을 매핑합니다. 물이 감지된 적이 없는 영역은 마스크 처리됩니다.
여기에 있는 모든 데이터는 Copernicus 프로그램에 따라 생성되며 사용 제한 없이 무료로 제공됩니다. 전체 라이선스 정보는 코페르니쿠스 규정을 참고하세요.
이러한 데이터 세트를 사용하는 간행물, 모델, 데이터 제품에는 다음 인용과 같이 데이터 세트와 학술지 논문을 인용하는 등 적절한 출처 표시가 포함되어야 합니다.
데이터를 게시된 지도의 레이어로 사용하는 경우 '출처: EC JRC/Google'이라는 저작자 표시 텍스트를 포함하세요.
인용
인용:
Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward,
High-resolution mapping of global surface water and its long-term changes.
Nature 540, 418~422 (2016). (doi:10.1038/nature20584)
이 데이터 세트에는 1984년부터 2019년까지의 지표수의 위치 및 시간 분포 지도가 포함되어 있으며 이러한 수면의 범위와 변화에 관한 통계가 제공됩니다. 자세한 내용은 관련 학술지 논문인 High-resolution mapping of global surface water and its long-term changes (Nature, 2016) 및 …을 참고하세요.
[null,null,[],[[["\u003cp\u003eThis dataset provides maps of global surface water and its changes from 1984 to 2019, derived from Landsat 5, 7, and 8 imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt includes occurrence, change, seasonality, recurrence, and transition classifications of surface water.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset offers various bands, including water frequency, change detection, and seasonality, at a 30-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eData is freely available for use with proper attribution to EC JRC/Google and citation of the associated journal article.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze the data using Google Earth Engine.\u003c/p\u003e\n"]]],["The dataset maps surface water's location and temporal distribution from March 16, 1984, to December 31, 2019, using Landsat data. It classifies each pixel as water or non-water, providing monthly histories and change detection for two epochs (1984-1999 and 2000-2019). Seven bands map the spatial and temporal distribution, including water occurrence, change, seasonality, recurrence, and transitions. The data, provided by EC JRC/Google, is available through Google Earth Engine and is free to use with proper citation.\n"],null,["# JRC Global Surface Water Mapping Layers, v1.2 [deprecated]\n\nDataset Availability\n: 1984-03-16T00:00:00Z--2020-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC / Google](https://global-surface-water.appspot.com)\n\nTags\n:\n[geophysical](/earth-engine/datasets/tags/geophysical) [google](/earth-engine/datasets/tags/google) [jrc](/earth-engine/datasets/tags/jrc) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [surface](/earth-engine/datasets/tags/surface) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [water](/earth-engine/datasets/tags/water) \n\n#### Description\n\nThis dataset contains maps of the location and temporal\ndistribution of surface water from 1984 to 2019 and provides\nstatistics on the extent and change of those water surfaces.\nFor more information see the associated journal article: [High-resolution\nmapping of global surface water and its long-term changes](https://www.nature.com/nature/journal/v540/n7633/full/nature20584.html)\n(Nature, 2016) and the online [Data Users Guide](https://storage.googleapis.com/global-surface-water/downloads_ancillary/DataUsersGuidev2.pdf).\n\nThese data were generated using 4,185,439 scenes from Landsat\n5, 7, and 8 acquired between 16 March 1984 and 31 December 2019.\nEach pixel was individually classified into water / non-water\nusing an expert system and the results were collated into a monthly\nhistory for the entire time period and two epochs (1984-1999,\n2000-2019) for change detection.\n\nThis mapping layers product consists of 1 image containing 7 bands.\nIt maps different facets of the spatial and temporal distribution of\nsurface water over the last 35 years. Areas where water has\nnever been detected are masked.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------|-------|------|-----|------------|---------------------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `occurrence` | % | 0 | 100 | meters | The frequency with which water was present. |\n| `change_abs` | % | -100 | 100 | meters | Absolute change in occurrence between two epochs: 1984-1999 vs 2000-2019. |\n| `change_norm` | % | -100 | 100 | meters | Normalized change in occurrence. (epoch1-epoch2)/(epoch1+epoch2) \\* 100 |\n| `seasonality` | | 0 | 12 | meters | Number of months water is present. |\n| `recurrence` | % | 0 | 100 | meters | The frequency with which water returns from year to year. |\n| `transition` | | | | meters | Categorical classification of change between first and last year. |\n| `max_extent` | | | | meters | Binary image containing 1 anywhere water has ever been detected. |\n| Bitmask for max_extent - Bit 0: Flag indicating if water was detected or not - 0: Not water - 1: Water ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n**transition Class Table**\n\n| Value | Color | Description |\n|-------|---------|-----------------------|\n| 0 | #ffffff | No change |\n| 1 | #0000ff | Permanent |\n| 2 | #22b14c | New permanent |\n| 3 | #d1102d | Lost permanent |\n| 4 | #99d9ea | Seasonal |\n| 5 | #b5e61d | New seasonal |\n| 6 | #e6a1aa | Lost seasonal |\n| 7 | #ff7f27 | Seasonal to permanent |\n| 8 | #ffc90e | Permanent to seasonal |\n| 9 | #7f7f7f | Ephemeral permanent |\n| 10 | #c3c3c3 | Ephemeral seasonal |\n\n### Terms of Use\n\n**Terms of Use**\n\nAll data here is produced under the Copernicus Programme and is provided\nfree of charge, without restriction of use. For the full license\ninformation see the Copernicus Regulation.\n\nPublications, models, and data products that make use of these datasets\nmust include proper acknowledgement, including citing datasets and the\njournal article as in the following citation.\n\nIf you are using the data as a layer in a published map, please include the\nfollowing attribution text: 'Source: EC JRC/Google'\n\n### Citations\n\nCitations:\n\n- Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward,\n High-resolution mapping of global surface water and its long-term changes.\n Nature 540, 418-422 (2016). ([doi:10.1038/nature20584](https://doi.org/10.1038/nature20584))\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.Image('JRC/GSW1_2/GlobalSurfaceWater');\n\nvar visualization = {\n bands: ['occurrence'],\n min: 0.0,\n max: 100.0,\n palette: ['ffffff', 'ffbbbb', '0000ff']\n};\n\nMap.setCenter(59.414, 45.182, 6);\n\nMap.addLayer(dataset, visualization, 'Occurrence');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_2_GlobalSurfaceWater) \n[JRC Global Surface Water Mapping Layers, v1.2 \\[deprecated\\]](/earth-engine/datasets/catalog/JRC_GSW1_2_GlobalSurfaceWater) \nThis dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) and ... \nJRC/GSW1_2/GlobalSurfaceWater, geophysical,google,jrc,landsat-derived,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2020-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://global-surface-water.appspot.com)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_2_GlobalSurfaceWater)"]]
