Evaluating the potential of multi-temporal Sentinel-1 and Sentinel-2 data for regional mapping of olive trees
Author:
Affiliation:
1. Department of Geomatics Engineering, Civil Engineering Faculty, Istanbul Technical University, Istanbul, Türkiye
2. School of Geography and Environmental Science, University of Southampton, Southampton, UK
Funder
University of Southampton
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2282404
Reference100 articles.
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2. Akcay, H., S. Kaya, E. Sertel, U. Alganci, and S. Aksoy. 2021. “Sentinel-1 and -2 time-series data-fusion for olive tree ‘dentification in heterogeneous land surfaces using Google Earth Engine.” In 2nd Intercontinental Geoinformation Days (IGD), edited by Yakar Murat, 159–162 . Mersin.
3. Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data
4. Determination of the Olive Trees with Object Based Classification of Pleiades Satellite Image
5. Trends in Remote Sensing Technologies in Olive Cultivation
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