# Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/swin-transformer-and-deep-convolutional-neural-networks-for-coastal-wetland/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Jamali,Masoud Mahdianpari |
| Citations | 89 |
| DOI | 10.3390/rs14020359 |
| Fields | Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2072-4292/14/2/359/pdf?version=1642073930 |
| OpenAlex ID | https://openalex.org/W4205682476 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Ali Jamali](https://scholariq.org/researchers/ali-jamali/)

## Paper primary topic

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)

## Paper topics

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Flood Risk Assessment and Management](https://scholariq.org/topics/flood-risk-assessment-and-management/)
- [Coastal wetland ecosystem dynamics](https://scholariq.org/topics/coastal-wetland-ecosystem-dynamics/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.