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Open Access Publications from the University of California

Mapas de calendario de cultivo y variables fenológicas mediante el análisis de imágenes MODIS y ASTER basado en objetos

  • Author(s): De Castro, AI
  • Plant, RE
  • Six, J
  • Peña, JM
  • et al.

A method to generate crop calendar and phenology-related maps at a parcel level of four major irrigated crops (rice, maize, sunflower and tomato) is shown. The method combines images from the ASTER and MODIS sensors in an object-based image analysis framework, as well as testing of three different fitting curves by using the TIMESAT software. Averaged estimation of calendar dates were 85%, from 92% in the estimation of emergence and harvest dates in rice to 69% in the case of harvest date in tomato.

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