Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data-Reference-Cited by-同舟云学术

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Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data

Published:2024 Issue: Volume:17 Page:13893-13907
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Sharma Surbhi¹^ORCID,Sedona Rocco¹^ORCID,Riedel Morris¹^ORCID,Cavallaro Gabriele¹^ORCID,Paris Claudia²^ORCID

Affiliation:

1. Jülich Supercomputing Centre, Wilhelm-Johnen-Straße, Jülich, Germany

2. University of Twente, Enschede, The Netherlands

Funder

EUROCC2

European High-Performance Computing Joint Undertaking

EU/EEA states

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10613375.pdf?arnumber=10613375

Reference48 articles.

1. Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities

2. A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images

3. End-to-end learned early classification of time series for in-season crop type mapping

4. Sentinel-2 mission overview,2024

5. Breizhcrops: A tome series dataset for crop type mapping;Ruwurm;XXIV ISPRS Congr., Commission II,2020

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