Climate Change Data Portal
DOI | 10.3390/rs16010002 |
Evaluation and Analysis of Remote Sensing-Based Approach for Salt Marsh Monitoring | |
Richards, David F.; Milewski, Adam M.; Becker, Steffan; Donaldson, Yonesha; Davidson, Lea J.; Zowam, Fabian J.; Mrazek, Jay; Durham, Michael; Steven, Andy | |
发表日期 | 2024 |
EISSN | 2072-4292 |
起始页码 | 16 |
结束页码 | 1 |
卷号 | 16期号:1 |
英文摘要 | In the United States (US), salt marshes are especially vulnerable to the effects of projected sea level rise, increased storm frequency, and climatic changes. Sentinel-2 data offer the opportunity to observe the land surface at high spatial resolutions (10 m). The Sentinel-2 data, encompassing Cumberland Island National Seashore, Fort Pulaski National Monument, and Canaveral National Seashore, were analyzed to identify temporal changes in salt marsh presence from 2016 to 2020. ENVI-derived unsupervised and supervised classification algorithms were applied to determine the most appropriate procedure to measure distant areas of salt marsh increases and decreases. The Normalized Difference Vegetation Index (NDVI) was applied to describe the varied vegetation biomass spatially. The results from this approach indicate that the ENVI-derived maximum likelihood classification provides a statistical distribution and calculation of the probability (>90%) that the given pixels represented both water and salt marsh environments. The salt marshes captured by the maximum likelihood classification indicated an overall decrease in salt marsh area presence. The NDVI results displayed how the varied vegetation biomass was analogous to the occurrence of salt marsh changes. Areas representing the lowest NDVI values (-0.1 to 0.1) corresponded to bare soil areas where a salt marsh decrease was detected. |
英文关键词 | remote sensing; salt marsh; hydrology; coastal; Sentinel-2; NDVI |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001141496200001 |
来源期刊 | REMOTE SENSING
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/296222 |
作者单位 | University System of Georgia; University of Georgia |
推荐引用方式 GB/T 7714 | Richards, David F.,Milewski, Adam M.,Becker, Steffan,et al. Evaluation and Analysis of Remote Sensing-Based Approach for Salt Marsh Monitoring[J],2024,16(1). |
APA | Richards, David F..,Milewski, Adam M..,Becker, Steffan.,Donaldson, Yonesha.,Davidson, Lea J..,...&Steven, Andy.(2024).Evaluation and Analysis of Remote Sensing-Based Approach for Salt Marsh Monitoring.REMOTE SENSING,16(1). |
MLA | Richards, David F.,et al."Evaluation and Analysis of Remote Sensing-Based Approach for Salt Marsh Monitoring".REMOTE SENSING 16.1(2024). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。