Land use and land cover classification from satellite images based on ensemble machine learning and crowdsourcing data verification-Reference-Cited by-同舟云学术

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Land use and land cover classification from satellite images based on ensemble machine learning and crowdsourcing data verification

Published:2023-03-15 Issue: Volume: Page:1-21
ISSN:2372-9333
Container-title:International Journal of Cartography
language:en
Short-container-title:International Journal of Cartography

Author:

Puttinaovarat Supattra¹^ORCID,Khaimook Kanit²,Horkaew Paramate³

Affiliation:

1. Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani, Thailand

2. Faculty of Humanities, Ramkhamhaeng University, Bangkok, Thailand

3. School of Computer Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/23729333.2023.2166252

Reference38 articles.

1. Improving accuracy of Landsat-8 OLI classification using image composite and multisource data with Google Earth Engine

2. Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications

3. LAND USE/LAND COVER CHANGE DETECTION USING MULTI–TEMPORAL SATELLITE DATASET: A CASE STUDY IN ISTANBUL NEW AIRPORT

4. Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley

5. Development of classification system for LULC using remote sensing and GIS

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1. Performance assessment of machine learning algorithms for mapping of land use/land cover using remote sensing data;The Egyptian Journal of Remote Sensing and Space Sciences;2024-06

2. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images;IEEE Access;2024

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