Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification

Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification

Crop classification is a crucial prerequisite for the collection of agricultural statistics, efficient crop management, biodiversity control, the design of agricultural policy, and food security. Crops are characterized by significant change during the growing season, and this information can be use...

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Bibliographic Details
Main Authors: Edyta Woźniak, Marcin Rybicki, Wlodek Kofman, Sebastian Aleksandrowicz, Cezary Wojtkowski, Stanisław Lewiński, Jędrzej Bojanowski, Jan Musiał, Tomasz Milewski, Przemysław Slesiński, Artur Łączyński
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Phenological indices
Radar polarimetry
Crop classification
Sentinel-1
Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243422000095

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http://www.sciencedirect.com/science/article/pii/S0303243422000095

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