DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin

DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin

Land use and land cover (LULC) mapping is a powerful tool for monitoring large areas. For the Amazon rainforest, automated mapping is of critical importance, as land cover is changing rapidly due to forest degradation and deforestation. Several research groups have addressed this challenge by conduc...

Full description

Bibliographic Details
Main Authors: Eya Cherif, Maximilian Hell, Melanie Brandmeier
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
deep learning
land use and land cover classification
Sentinel-2
Sentinel-1
multi-modal and multi-temporal data
data fusion
Online Access:https://www.mdpi.com/2072-4292/14/19/5000

Similar Items

Similar Items