Earth Resources and Environmental Remote Sensing/Gis Applications XIV 2023
DOI: 10.1117/12.2678006
|View full text |Cite
|
Sign up to set email alerts
|

Machine and deep learning methods for detection and mapping of coastal wetlands of Crozon Peninsula (Brittany, France) used metric and sub-metric spatial resolution

Adrien Le Guillou,
Simona Niculescu,
Christiane Schmullius

Abstract: Wetlands are one of the most important ecosystems in the world. Today, however, their fate is under serious threat, and their alarming decline highlights the urgent need to preserve these areas rich in biodiversity. The aim of this work is to spatially map and mapping the wetlands of the Crozon peninsula in Brittany France. The methodology is divided into two parts; the first part is to map the wetlands as a whole, while the second part is to map the wetlands using a adapted typology. Several databases were us… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 92 publications
(89 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?