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On learning culture patterns through NDVI curve’s features

On learning culture patterns through NDVI curve’s features. Queries: Given a region R and a period P find pixels/points with the pattern of culture C. eg . “For [period 2010-2013] and [regions Minas Gerais & São Paulo] find cultures with [the pattern of cotton]” or

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On learning culture patterns through NDVI curve’s features

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  1. On learning culture patterns throughNDVI curve’s features Queries: Given a region R and a period P find pixels/points with the pattern of culture C. eg. “For [period 2010-2013] and [regions Minas Gerais & São Paulo] find cultures with [the pattern of cotton]” or Given R and P, find pixels with an association main_crop/second_crop C1/C2. eg. “For [period 2010-2013] and [microregion of Campos do Jordão] find [associations soybean/corn]” We need a Culture Model

  2. On learning culture patterns throughNDVI curve’s features Soybean / Corn Soybean / Cotton Soybean / Pearl millet

  3. On learning culture patterns throughNDVI curve’s features Curve features: a) beginning of season b) end of season c) left 90% level d) right 90% level e) peak f) amplitude g) length of season h) small integral i) large integral j) sprouting gradient k) senescence gradient

  4. On learning culture patterns throughNDVI curve’s features • Curve features (seasonality Parameters): P = (beg, end, length, base, mid-x, max, amp, l-der, r-der, l-integ, s-integ) • A class C is an association or pair (main-crop, second-crop) A collection {(P1, P2, C)} SVM Learning Machine Support Vector Machine (SVM): learning technique based on supervised classification Learned Culture Patterns Culture Model Queries

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