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|Title:||Crop area estimation in Ukraine using satellite data within the MARS project|
|Authors:||KUSSUL NATALIA; SKAKUN SERGII; SHELESTOV ANDRII; KRAVCHENKO OLEKSII; GALLEGO PINILLA FRANCISCO; KUSSUL OLGA|
|Type:||Articles in periodicals and books|
|Abstract:||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.|
|JRC Directorate:||Sustainable Resources|
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