Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset

Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset

In the context of global change, up-to-date land use land cover (LULC) maps is a major challenge to assess pressures on natural areas. These maps also allow us to assess the evolution of land cover and to quantify changes over time (such as urban sprawl), which is essential for having a precise unde...

Full description

Bibliographic Details
Main Authors: Romain Wenger, Anne Puissant, Jonathan Weber, Lhassane Idoumghar, Germain Forestier
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
multitemporal
multimodal
Sentinel-1
Sentinel-2
land use
land cover
Online Access:https://www.mdpi.com/2072-4292/15/1/151

Similar Items

Similar Items