Crop Phenology-Based, Object-Oriented Classification Approach Using SENTINEL-2A and NDVI Time Series: Sunflower Crops in Kırklareli TURKEY

Crop Phenology-Based, Object-Oriented Classification Approach Using SENTINEL-2A and NDVI Time Series: Sunflower Crops in Kırklareli TURKEY

Achieving food security on a global scale depends on regular spatio-temporal monitoring and management of national and local agricultural production. The aim of this study is to develop a methodology for determining sunflower cultivated areas using high resolution time series of the SENTINEL-2A sa...

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Bibliographic Details
Main Authors: Armağan ALOE KARABULUT, Nihal Ceylan, Erdem Bahar, İlker Kurşun
Format: Article
Language:English
Published: IJEGEO 2021-09-01
Series:International Journal of Environment and Geoinformatics
Subjects:
object-oriented classification
ndvi time series
sunflower
crop phenology
sentinel-2a
decision tree
Online Access:https://dergipark.org.tr/tr/pub/ijegeo/issue/61200/858456

Internet

https://dergipark.org.tr/tr/pub/ijegeo/issue/61200/858456

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