Parent Layer: Agricola Producao

Name: Amendoim Producao

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Description: Title: Amendoim Producao / Peanut Production Summary: Description: http://mapspam.info/spam-2000/Date Created: Date Updated: Spatial Reference: GCS_WGS_1984 WKID: 4326 Authority: EPSG Angular Unit: Degree (0.0174532925199433 ) Prime Meridian: Greenwich (0.0 Datum: D_WGS_1984 Spheroid: WGS_1984Semimajor Axis: 6378137.0 Semiminor Axis: 6356752.314245179 Inverse Flattening: 298.257223563 Data Owner: Credits or Copyright: IFPRI International Food Policy Research Institute Access Constraints: Public ISO Topic: agricultura / agriculture Tags: agricultura, agricola producao, trigo, arroz, milho, cevada, painço, sorgo, batata, batata doce, mandioca, plantagoes bananas, soja, feijao, leguminosas, cana de agucar, beterraba sacarina, café, algodao, culturas de fibra, amendoim, culturas oleaginosas, moçambique, crop production, wheat, rice, maize, barley, millet, sorghum, potato, sweetpotato, yam, cassava, banana plantain, soybean, beans, pulses, sugarcane, sugarbeet, coffee, cotton, fibre crops, groundnut, oil crops, mozambique, farming, agriculture Contact Name: Contact Company: Contact Phone Number: Contact Email: Scale: Capture Method: Using a variety of inputs, SPAM uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units.1.We start with the administrative (geopolitical) units for which we have been able to obtain production statistics. These may typically be national or sub-national administrative regions such as countries, states, districts, or counties. The smaller the administrative units, the better the results.2.We receive an already classified land-cover image, where crop land has been identified. 3.We integrate crop-specific suitability information based on local landscape, climate and soil conditions, which provides information on how MUCH cropland exists at the pixel level.4.Combining all these input data and some more parameters the model applies a cross entropy approach to obtain the final estimation of crop distribution.Language: Portuguese, English

Service Item Id: 04d95f7470934b40880e1dddcba615d7

Copyright Text: Credits or Copyright: IFPRI International Food Policy Research Institute

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Fields:

• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• Unidade ( type: esriFieldTypeString, alias: Unidade, length: 5 )
• Trigo ( type: esriFieldTypeDouble, alias: Trigo )
• Arroz ( type: esriFieldTypeDouble, alias: Arroz )
• Milho ( type: esriFieldTypeDouble, alias: Milho )
• Cevada ( type: esriFieldTypeDouble, alias: Cevada )
• Paingo ( type: esriFieldTypeDouble, alias: Painço )
• Sorgo ( type: esriFieldTypeDouble, alias: Sorgo )
• Batata ( type: esriFieldTypeDouble, alias: Batata )
• BatataDoce ( type: esriFieldTypeDouble, alias: Batata Doce )
• Mandioca ( type: esriFieldTypeDouble, alias: Mandioca )
• PlantagoesBananas ( type: esriFieldTypeDouble, alias: Plantações Bananas )
• Soja ( type: esriFieldTypeDouble, alias: Soja )
• Feijao ( type: esriFieldTypeDouble, alias: Feijão )
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• CanaDeAgucar ( type: esriFieldTypeDouble, alias: Cana de açúcar )
• BeterrabaSacarina ( type: esriFieldTypeDouble, alias: Beterraba Sacarina )
• Cafe ( type: esriFieldTypeDouble, alias: Café )
• Algodao ( type: esriFieldTypeDouble, alias: Algodao )
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• Amendoim ( type: esriFieldTypeDouble, alias: Amendoim )
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