Diese Daten wurden anhand von 4.716.475 Szenen von Landsat 5, 7 und 8 generiert, die zwischen dem 16. März 1984 und dem 31. Dezember 2021 aufgenommen wurden.
Jeder Pixel wurde mithilfe eines Expertensystems einzeln als „Wasser“ oder „Nicht-Wasser“ klassifiziert. Die Ergebnisse wurden für den gesamten Zeitraum in einem monatlichen Verlauf und für den Änderungsnachweis in zwei Epochen (1984–1999, 2000–2021) zusammengefasst.
Diese Sammlung enthält den gesamten Verlauf der Wassererkennung auf monatlicher Basis. Die Sammlung enthält 454 Bilder, eines für jeden Monat zwischen März 1984 und Dezember 2021.
Bänder
Pixelgröße 30 Meter
Bänder
Name
Pixelgröße
Beschreibung
water
Meter
Wasserschäden für den Monat.
Bitmaske für Wasser
Bits 0–1: Wassererkennung
0: Keine Daten
1: Kein Wasser
2: Wasser
Bildattribute
Bildattribute
Name
Typ
Beschreibung
Monat
DOUBLE
Monat
Jahr
DOUBLE
Jahr
Nutzungsbedingungen
Nutzungsbedingungen
Alle Daten hier werden im Rahmen des Copernicus-Programms erstellt und kostenlos und ohne Einschränkung der Nutzung zur Verfügung gestellt. Die vollständigen Lizenzinformationen finden Sie in der Copernicus-Verordnung.
In Publikationen, Modellen und Datenprodukten, in denen diese Datasets verwendet werden, muss eine entsprechende Quellenangabe erfolgen, einschließlich der Angabe der Datasets und des Zeitschriftenartikels wie im folgenden Zitat.
Wenn Sie die Daten als Ebene in einer veröffentlichten Karte verwenden, fügen Sie bitte den folgenden Quellenangabetext ein: „Quelle: EC JRC/Google“.
Zitate
Quellenangaben:
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)
Dieser Datensatz enthält Karten der räumlichen und zeitlichen Verteilung von Oberflächenwasser von 1984 bis 2021 sowie Statistiken zur Ausdehnung und Veränderung dieser Wasserflächen. Weitere Informationen finden Sie im zugehörigen Zeitschriftenartikel: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) und …
[null,null,[],[[["\u003cp\u003eThe JRC Monthly Water History dataset provides monthly maps of surface water from 1984 to 2021, derived from Landsat imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt offers insights into the location, extent, and change of surface water over time, including change detection for two epochs (1984-1999 and 2000-2021).\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is freely available for use with proper attribution to EC JRC/Google and citation of the associated journal article.\u003c/p\u003e\n"],["\u003cp\u003eEach pixel is classified as water or non-water, and the data is provided at a 30-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is accessible through Google Earth Engine and includes monthly images, allowing for detailed analysis of surface water dynamics.\u003c/p\u003e\n"]]],["The dataset, provided by EC JRC/Google, maps surface water location and distribution from March 1984 to December 2021, using Landsat data. It offers monthly water detection history, comprising 454 images with a 30-meter pixel size. Users can access data via an Earth Engine snippet, and the dataset provides water/non-water classification per pixel. It allows for change detection between two epochs and includes data usage guidelines.\n"],null,["# JRC Monthly Water History, v1.4\n\nDataset Availability\n: 1984-03-16T00:00:00Z--2022-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC / Google](https://global-surface-water.appspot.com)\n\nCadence\n: 1 Month\n\nTags\n:\n[geophysical](/earth-engine/datasets/tags/geophysical) [google](/earth-engine/datasets/tags/google) [history](/earth-engine/datasets/tags/history) [jrc](/earth-engine/datasets/tags/jrc) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [monthly](/earth-engine/datasets/tags/monthly) [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 2021 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\n[Data Users Guide](https://storage.googleapis.com/global-surface-water/downloads_ancillary/DataUsersGuidev2021.pdf).\n\nThese data were generated using 4,716,475 scenes from Landsat\n5, 7, and 8 acquired between 16 March 1984 and 31 December 2021.\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,\n2000-2021) for change detection.\n\nThis Monthly History collection holds the entire history of water detection\non a month-by-month basis. The collection contains 454 images, one for each\nmonth between March 1984 and December 2021.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|---------|------------|--------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `water` | meters | Water detection for the month. |\n| Bitmask for water - Bits 0-1: Water detection - 0: No data - 1: Not water - 2: Water ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|-------|--------|-------------|\n| month | DOUBLE | Month |\n| year | DOUBLE | Year |\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_4/MonthlyHistory/2020_06');\n\nvar visualization = {\n bands: ['water'],\n min: 0.0,\n max: 2.0,\n palette: ['ffffff', 'fffcb8', '0905ff']\n};\n\nMap.setCenter(-121.234, 38.109, 7);\n\nMap.addLayer(dataset, visualization, 'Water');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_4_MonthlyHistory) \n[JRC Monthly Water History, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyHistory) \nThis dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 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_4/MonthlyHistory, geophysical,google,history,jrc,landsat-derived,monthly,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2022-01-01T00:00:00Z \n-59 -180 78 180 \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_4_MonthlyHistory)"]]
