Questo set di dati contiene mappe della distribuzione spaziale e temporale
dell'acqua di superficie dal 1984 al 2021 e fornisce
statistiche sull'estensione e sul cambiamento di queste superfici acquatiche.
Per maggiori informazioni, consulta l'articolo della rivista associato: High-resolution
mapping of global surface water and its long-term changes
(Nature, 2016) e la Guida per gli utenti dei dati online.
Questi dati sono stati generati utilizzando 4.716.475 scene di Landsat
5, 7 e 8 acquisite tra il 16 marzo 1984 e il 31 dicembre 2021.
Ogni pixel è stato classificato individualmente come acqua / non acqua
utilizzando un sistema esperto e i risultati sono stati raccolti in una cronologia mensile
per l'intero periodo di tempo e due epoche (1984-1999,
2000-2021) per il rilevamento delle modifiche.
La raccolta Ricorrenza mensile contiene 12 immagini: le misurazioni mensili
della stagionalità dell'acqua in base ai valori di occorrenza rilevati in quel
mese in tutti gli anni.
Bande
Dimensioni pixel 30 metri
Bande
Nome
Unità
Min
Max
Dimensioni dei pixel
Descrizione
monthly_recurrence
%
0
100
metri
Il valore di ricorrenza espresso come percentuale per questo mese.
has_observations
metri
Un flag che indica se il mese ha osservazioni.
Bitmask per has_observations
Bit 0: osservazioni per il mese.
0: Nessuna osservazione valida
1: Era disponibile almeno un'osservazione valida
Proprietà immagini
Proprietà immagine
Nome
Tipo
Descrizione
mese
DOUBLE
Mese
Termini e condizioni d'uso
Termini e condizioni d'uso
Tutti i dati qui riportati sono prodotti nell'ambito del programma Copernicus e vengono forniti
senza costi, senza limitazioni di utilizzo. Per informazioni complete
sulla licenza, consulta il regolamento Copernicus.
Le pubblicazioni, i modelli e i prodotti di dati che utilizzano questi set di dati
devono includere il giusto riconoscimento, citando i set di dati e l'articolo
della rivista come nella citazione seguente.
Se utilizzi i dati come livello in una mappa pubblicata, includi il
seguente testo di attribuzione: "Fonte: EC JRC/Google"
Citazioni
Citazioni:
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)
Questo set di dati contiene mappe della posizione e della distribuzione temporale delle acque di superficie dal 1984 al 2021 e fornisce statistiche sull'estensione e sul cambiamento di queste superfici acquatiche. Per ulteriori informazioni, consulta l'articolo della rivista associato: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) e…
[null,null,[],[[["\u003cp\u003eThis dataset provides monthly maps of surface water occurrence from 1984 to 2021, derived from Landsat 5, 7, and 8 imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt offers insights into the location, distribution, and changes in global surface water over time.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes monthly recurrence data, indicating the percentage of time water was present in each location for a given month.\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 this dataset using Google Earth Engine.\u003c/p\u003e\n"]]],["This dataset, provided by EC JRC/Google, maps global surface water distribution and changes from March 1984 to December 2021. Derived from over 4.7 million Landsat scenes, each pixel is classified as water or non-water. The data is compiled into a monthly history and two epochs (1984-1999, 2000-2021) for change analysis. The monthly recurrence collection contains data on water seasonality and whether a month has observations, with a pixel size of 30 meters.\n"],null,["# JRC Monthly Water Recurrence, 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\nClimatological Interval\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) \nrecurrence \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\nThe Monthly Recurrence collection contains 12 images: monthly measures of\nthe seasonality of water based on the occurrence values detected in that\nmonth over all years.\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| `monthly_recurrence` | % | 0 | 100 | meters | The recurrence value expressed as a percentage for this month. |\n| `has_observations` | | | | meters | A flag to indicate if the month has observations. |\n| Bitmask for has_observations - Bit 0: Observations for the month. - 0: No valid observations - 1: At least 1 valid observation was available ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|-------|--------|-------------|\n| month | DOUBLE | Month |\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.ImageCollection('JRC/GSW1_4/MonthlyRecurrence');\n\nvar visualization = {\n bands: ['monthly_recurrence'],\n min: 0.0,\n max: 100.0,\n palette: ['ffffff', 'ffbbbb', '0000ff']\n};\n\nMap.setCenter(-51.482, -0.835, 6);\n\nMap.addLayer(dataset, visualization, 'Monthly Recurrence');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_4_MonthlyRecurrence) \n[JRC Monthly Water Recurrence, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyRecurrence) \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/MonthlyRecurrence, geophysical,google,history,jrc,landsat-derived,monthly,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2022-01-01T00:00:00Z \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_4_MonthlyRecurrence)"]]
