Mapping of crop calendar events by object-based analysis of MODIS and ASTER images

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

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.


Keywords

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

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References

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