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A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

Zeng, Linglin

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A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

Zeng, Linglin

A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

Zeng, Linglin

Access

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Order at Subito €

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Document information

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Document information

Title:

A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

Contributors:

Zeng, Linglin (author) / Wardlow, Brian D / Wang, Rui / Shan, Jie / Tadesse, Tsegaye / Hayes, Michael J / Li, Deren

Published in:

Remote sensing of environment ; 181

Publication date:

2016

ISSN:

DOI:

https://doi.org/10.1016/j.rse.2016.03.039

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Erde , Umweltveränderung , Fernerkundung , Umweltforschung , Umweltüberwachung , Umweltschaden

Classification:

BKL: 43.03 Methoden der Umweltforschung und des Umweltschutzes / 38.03 Methoden und Techniken der Geowissenschaften / 74.41 Luftaufnahmen, Photogrammetrie

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