Das GFSAD ist ein von der NASA finanziertes Projekt, das hochauflösende globale Daten zu Anbauflächen und deren Wasserverbrauch bereitstellt, um zur globalen Ernährungssicherheit im 21. Jahrhundert beizutragen. Die GFSAD-Produkte werden aus Fernerkundungsdaten von mehreren Sensoren abgeleitet (z.B. Landsat, MODIS, AVHRR), Sekundärdaten und Feldversuchsdaten und zielt darauf ab, die Dynamik von Ackerland zu dokumentieren.
Auf einer nominalen Skala von 1 km bietet V0.1 die räumliche Verteilung einer disaggregierten globalen Karte der landwirtschaftlichen Nutzfläche mit fünf Klassen, die aus vier wichtigen Studien abgeleitet wurde: Thenkabail et al. (2009a, 2011), Pittman et al. (2010), Yu et al. (2013) und Friedl et al. (2010). V1.0 ist ein Produkt mit fünf Klassen, das Informationen zur globalen Anbaufläche und zum Anbau auf bewässerten und nicht bewässerten Flächen liefert. Es sind keine Informationen zum Erntetyp oder zur Dominanz des Erntetyps vorhanden. Die Intensität des Zuschneidens (einzelne, doppelte, dreifache und kontinuierliche Ernten) kann für jeden Pixel mithilfe von Zeitreihen-Fernerkundungsdaten ermittelt werden. Das GFSAD1000-Produkt für das Jahr 2010 wurde mit Daten aus den Jahren 2007 bis 2012 erstellt.
Das GFSAD ist ein von der NASA finanziertes Projekt, das hochauflösende globale Daten zu Anbauflächen und deren Wasserverbrauch bereitstellt und so zur globalen Ernährungssicherheit im 21. Jahrhundert beiträgt. Die GFSAD-Produkte werden aus Fernerkundungsdaten von mehreren Sensoren abgeleitet, z.B. Landsat, MODIS, AVHRR), Sekundärdaten und Feldversuchsdaten und zielt darauf ab, Ackerland zu dokumentieren.
[null,null,[],[[["\u003cp\u003eGFSAD1000_V1 provides a global cropland extent map at a 1km resolution, classifying land as non-cropland, irrigated, or rainfed.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset utilizes multi-sensor remote sensing data, secondary data, and field-plot data to document cropland dynamics.\u003c/p\u003e\n"],["\u003cp\u003eThis NASA-funded project aims to support global food security analysis by providing insights into cropland distribution and water use.\u003c/p\u003e\n"],["\u003cp\u003eThe GFSAD1000 product was created using data primarily from 2007 to 2012 and represents the nominal year 2010.\u003c/p\u003e\n"],["\u003cp\u003eUSGS provides this dataset with minimal restrictions, encouraging its use for research, education, and nonprofit purposes.\u003c/p\u003e\n"]]],["The Global Food Security-support Analysis Data (GFSAD) project provides a 1km-scale global cropland extent map (GFSAD1000_V1) for 2010, derived from multiple studies and remote sensing data (2007-2012). It classifies land into six categories, ranging from non-croplands to various types of irrigated and rainfed croplands. Users can access the data via Google Earth Engine, utilizing an `ee.Image` snippet. The data can be visualized with a color palette based on landcover classes, supporting studies on cropland dynamics and water use.\n"],null,["# GFSAD1000: Cropland Extent 1km Multi-Study Crop Mask, Global Food-Support Analysis Data\n\nDataset Availability\n: 2010-01-01T00:00:00Z--2010-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Global Food Security-support Analysis Data at 30m Project (GFSAD30)](https://geography.wr.usgs.gov/science/croplands/)\n\nTags\n:\n [agriculture](/earth-engine/datasets/tags/agriculture) [crop](/earth-engine/datasets/tags/crop) [landcover](/earth-engine/datasets/tags/landcover) [usgs](/earth-engine/datasets/tags/usgs) \ngfsad \n\n#### Description\n\nThe GFSAD is a NASA-funded project to provide high-resolution global\ncropland data and their water use that contributes towards global food\nsecurity in the twenty-first century. The GFSAD products are derived\nthrough multi-sensor remote sensing data (e.g., Landsat, MODIS, AVHRR),\nsecondary data, and field-plot data and aims at documenting cropland\ndynamics.\n\nAt a nominal 1km scale, V0.1 provides the spatial distribution of a\ndisaggregated five-class global cropland extent map derived from four\nmajor studies: Thenkabail et al. (2009a, 2011), Pittman et al. (2010),\nYu et al. (2013), and Friedl et al. (2010). V1.0 is a 5-class product that\nprovides information on global cropland extent and irrigated versus rainfed\ncropping. There is no crop type or crop type dominance information. Cropping\nintensity (single, double, triple, and continuous crops) can be obtained for\nevery pixel using time-series remote sensing data. The GFSAD1000 nominal\n2010 product was created with data from 2007 to 2012.\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|-------------|-----|-----|------------|------------------------------|\n| `landcover` | 0 | 9 | meters | Crop mask class descriptions |\n\n**landcover Class Table**\n\n| Value | Color | Description |\n|-------|--------------|------------------------------------------|\n| 0 | black | Non-croplands |\n| 1 | orange | Croplands: irrigation major |\n| 2 | brown | Croplands: irrigation minor |\n| 3 | darkseagreen | Croplands: rainfed |\n| 4 | green | Croplands: rainfed, minor fragments |\n| 5 | yellow | Croplands: rainfed, very minor fragments |\n\n### Terms of Use\n\n**Terms of Use**\n\nMost U.S. Geological Survey (USGS) information resides\nin the public domain and may be used without restriction. Additional\ninformation on [Acknowledging or Crediting USGS as Information\nSource](https://www.usgs.gov/information-policies-and-instructions/acknowledging-or-crediting-usgs)\nis available.\n\n### Citations\n\nCitations:\n\n- [Teluguntla, P., Thenkabail, P.S., Xiong, J., Gumma, M.K., Giri, C., Milesi,\n C., Ozdogan, M., Congalton, R., Tilton, J., Sankey, T.R., Massey, R.,\n Phalke, A., and Yadav, K. 2014. Global Cropland Area Database (GCAD)\n derived from Remote Sensing in Support of Food Security in the Twenty-first\n Century: Current Achievements and Future Possibilities. Chapter 7, Vol. II.\n Land Resources: Monitoring, Modelling, and Mapping, Remote Sensing Handbook\n edited by Prasad S. Thenkabail. In Press.](https://lpdaac.usgs.gov/documents/173/GFSAD1K_ATBD.pdf)\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('USGS/GFSAD1000_V1');\nvar cropMask = dataset.select('landcover');\nvar cropMaskVis = {\n min: 0.0,\n max: 5.0,\n palette: ['black', 'orange', 'brown', '02a50f', 'green', 'yellow'],\n};\nMap.setCenter(-17.22, 13.72, 2);\nMap.addLayer(cropMask, cropMaskVis, 'Crop Mask');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/USGS/USGS_GFSAD1000_V1) \n[GFSAD1000: Cropland Extent 1km Multi-Study Crop Mask, Global Food-Support Analysis Data](/earth-engine/datasets/catalog/USGS_GFSAD1000_V1) \nThe GFSAD is a NASA-funded project to provide high-resolution global cropland data and their water use that contributes towards global food security in the twenty-first century. The GFSAD products are derived through multi-sensor remote sensing data (e.g., Landsat, MODIS, AVHRR), secondary data, and field-plot data and aims at documenting cropland ... \nUSGS/GFSAD1000_V1, agriculture,crop,landcover,usgs \n2010-01-01T00:00:00Z/2010-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://geography.wr.usgs.gov/science/croplands/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/USGS_GFSAD1000_V1)"]]
