Crop area estimation in Ukraine using satellite data within the MARS project
In the paper we describe the results of a pilot project on crop area estimation with satellite images in Ukraine. The best results were obtained with MLP classifiers and TM images that demonstrated to give a cost-efficient contribution to the improvement of the estimators. MODIS images also demonstrated to be cost-efficient. This study provided useful insights in the framework of Geoland2-Crop CIS and updates the conclusions of the MARS project in the mid 90’s: at that time the approach had proved to be technically solid, but did not reach the cost-efficiency threshold with the costs of 15 years ago.
KUSSUL Natalia;
SKAKUN Sergii;
SHELESTOV Andrii;
KRAVCHENKO Oleksii;
GALLEGO PINILLA Francisco;
KUSSUL Olga;
2017-05-29
IEEE
JRC69394
978-1-4673-1159-5,
http://ieeexplore.ieee.org/document/6350500/,
https://publications.jrc.ec.europa.eu/repository/handle/JRC69394,
10.1109/IGARSS.2012.6350500,
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