Object-Based Classification of Greenhouses Using Sentinel-2 MSI and SPOT-7 Images: A Case Study from Anamur (Mersin), Turkey

Object-Based Classification of Greenhouses Using Sentinel-2 MSI and SPOT-7 Images: A Case Study from Anamur (Mersin), Turkey

Accurate and reliable greenhouse mapping using remotely sensed data and image classification methods has a significant role since it can comprehensively improve the urban and rural planning, and sustainable natural resource and agricultural management. This research is mainly focused on the determin...

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Bibliographic Details
Main Authors: Filiz Bektas Balcik, Gizem Senel, Cigdem Goksel
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Greenhouse mapping
object-based image analysis (OBIA)
random forest (RF)
remote sensing
Sentinel-2 MultiSpectral Instrument (MSI)
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/9103276/

Internet

https://ieeexplore.ieee.org/document/9103276/

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