Land cover classification using Land Parcel Identification System (LPIS) data and open source Eo-Learn library
Author:
Affiliation:
1. Republic of Turkey Ministry of Agriculture and Foresty, Ankara, Turkey
2. Department of Geomatics Engineering, Faculty of Engineering, Necmettin Erbakan University, Konya, Turkey
Funder
Eo-Learn library
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2146760
Reference39 articles.
1. Çivril-Baklan (Denizli) Ovasında Yeraltısuyuna İklim Değişikliğinin Etkisi
2. Aleksandrov M, Visnjic J. 2020. Land cover monitoring system. Medium. [accessed 2021 Apr 13] https://medium.com/sentinel-hub/land-cover-monitoring-system-84406e3019ae.
3. A comparative analysis of gradient boosting algorithms
4. A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap
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2. A Systematic Procedure for Land Use Land Cover Mapping Using Interpretable Machine Learning Model with Satellite Data;2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS);2023-12-10
3. Arazi Parsel Tanımlama Sistemi Verileri Kullanılarak Ülkesel Ölçekte Arazi Örtüsü ve Arazi Kullanım Sınıflandırması;Turkish Journal of Remote Sensing and GIS;2023-05-22
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