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

A.I. De Castro; R.E. Plant; J. Six; J.M. Peña

doi:10.4995/raet.2014.2307

Authors

A.I. De Castro CREC-University of Florida, United States
R.E. Plant University of California, Davis
J. Six University of California, Davis
J.M. Peña Instituto de Agricultura Sostenible, IAS-CSIC

DOI:

https://doi.org/10.4995/raet.2014.2307

Keywords:

Irrigated crops, Fitting curve, NDVI time-series, TIMESAT, eCognition developer

Abstract

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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Author Biographies

A.I. De Castro, CREC-University of Florida, United States

Department of Agricultural and Biological Engineering, CREC-University of Florida, Lake Alfred, FL 33850, United States

R.E. Plant, University of California, Davis

Department of Plant Sciences, Professor

J. Six, University of California, Davis

Department of Plant Sciences, Senior Researcher

J.M. Peña, Instituto de Agricultura Sostenible, IAS-CSIC

Departamento de Protección de Cultivos, Investigador

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