文章基本信息

标题：Crop inventory at regional scale in Ukraine: developing in season and end of season crop maps with multi-temporal optical and SAR satellite imagery
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作者：Nataliia Kussul ; Lavreniuk Mykola ; Andrii Shelestov 等
期刊名称：European Journal of Remote Sensing
电子版ISSN：2279-7254
出版年度：2018
卷号：51
期号：1
页码：1-11
DOI：10.1080/22797254.2018.1454265
摘要：Along the season crop classification maps based on satellite data is a challenging task for countries with large diversity of agricultural crops with different phenology (crop calendars). In this paper, we investigate feasibility of delivering early and along the season crop specific maps using available free satellite data over multiple years, including Landsat-8, Sentinel-1 and Sentinel-2. For this study, a test site in Kyiv region (Ukraine) is selected, for which we have been collecting ground data on crop types every year since 2011. Crop type maps are generated through a supervised classification of multi-temporal multi-source satellite data using previously developed artificial neural network algorithms. It is shown, how multi-year crop classification maps are used for crop rotation violation detection. The study shows that in case of considerable cloud cover, synthetic aperture radar (SAR) data, for example acquired by Sentinel-1 satellite, can be interchangeably used with optical imagery to achieve the target 85% accuracy for crop classification.
关键词：Along the season classification ; crop map ; neural network ; satellite data