Assessment of Deep Learning Techniques for Land Use Land Cover Classification in Southern New Caledonia

Assessment of Deep Learning Techniques for Land Use Land Cover Classification in Southern New Caledonia

Land use (LU) and land cover (LC) are two complementary pieces of cartographic information used for urban planning and environmental monitoring. In the context of New Caledonia, a biodiversity hotspot, the availability of up-to-date LULC maps is essential to monitor the impact of extreme events such...

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Bibliographic Details
Main Authors: Guillaume Rousset, Marc Despinoy, Konrad Schindler, Morgan Mangeas
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
New Caledonia
remote sensing
land use
land cover
deep learning: XGBoost
neural network
Online Access:https://www.mdpi.com/2072-4292/13/12/2257

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