GFSAD, NASA tarafından finanse edilen ve yirmi birinci yüzyılda küresel gıda güvenliğine katkıda bulunan yüksek çözünürlüklü küresel tarım arazisi verileri ve su kullanımını sağlayan bir projedir. GFSAD ürünleri, çok sensörlü uzaktan algılama verileri (ör. Landsat, MODIS, AVHRR), ikincil veriler ve tarla verileri kullanılarak tarım arazisi dinamiklerinin belgelenmesi amaçlanmaktadır.
V0.1, 1 km'lik nominal bir ölçekte, dört büyük çalışmadan elde edilen ayrıştırılmış beş sınıflı küresel tarım arazisi kapsamı haritasının mekansal dağılımını sağlar: Thenkabail ve diğerleri (2009a, 2011), Pittman ve diğerleri (2010), Yu ve diğerleri (2013) ve Friedl ve diğerleri (2010). V1.0, küresel ekili alanların kapsamı ve sulanan ile yağmurla beslenen ekili alanlar hakkında bilgi sağlayan 5 sınıflı bir üründür. Kırpma türü veya kırpma türü baskınlığı bilgisi yok. Zaman serisi uzaktan algılama verileri kullanılarak her piksel için kırpma yoğunluğu (tek, çift, üçlü ve sürekli kırpma) elde edilebilir. GFSAD1000 nominal
2010 ürünü, 2007-2012 arasındaki verilerle oluşturulmuştur.
Bantlar
Piksel Boyutu 1.000 metre
Bantlar
Ad
Min.
Maks.
Piksel Boyutu
Açıklama
landcover
0
9
metre
Kırpma maskesi sınıf açıklamaları
landcover Class Table
Değer
Renk
Açıklama
0
black
Tarım arazisi olmayan alanlar
1
orange
Ekin alanları: büyük ölçekli sulama
2
brown
Tarım arazileri: küçük ölçekli sulama
3
darkseagreen
Tarım arazileri: yağmurla sulanan
4
green
Tarım alanları: yağmurla sulanan, küçük parçalar
5
yellow
Ekin alanları: yağmurla beslenen, çok küçük parçalar
GFSAD, NASA tarafından finanse edilen ve yirmi birinci yüzyılda küresel gıda güvenliğine katkıda bulunan yüksek çözünürlüklü küresel tarım arazisi verileri ve su kullanımını sağlayan bir projedir. GFSAD ürünleri, çok sensörlü uzaktan algılama verileri (ör. Landsat, MODIS, AVHRR), ikincil veriler ve tarla verileri kullanılarak tarım arazilerinin belgelenmesi amaçlanmaktadır.
[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)"]]
