Bibliographic Details
| Title: |
Seagrass Resource Assessment Using WorldView-2 Imagery in the Redfish Bay, Texas |
| Authors: |
Lihong Su, Yuxia Huang |
| Source: |
Journal of Marine Science and Engineering, Vol 7, Iss 4, p 98 (2019) |
| Publisher Information: |
MDPI AG, 2019. |
| Publication Year: |
2019 |
| Collection: |
LCC:Naval architecture. Shipbuilding. Marine engineering
LCC:Oceanography |
| Subject Terms: |
coastal water, water depth correction, seagrass, object-based image analysis, WorldView-2, Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581 |
| More Details: |
Seagrass meadows play important roles as habitats for many marine organisms, traps for sediment, and buffers against wave actions. The objective of this paper is to map seagrass meadows in the Redfish Bay, Texas from WorldView-2 imagery. Seagrass meadows grow in shallow and clear water areas in the Redfish Bay. The WorldView-2 satellite can acquire multispectral imagery from the bay bottom with 2 m spatial resolution 8 multispectral bands and 0.46 m panchromatic imagery. The top of atmosphere radiance was transformed to the bottom reflectance through the atmospheric correction and the water column correction. The object based image analysis was used to identify seagrass meadows distributions in the Redfish Bay. This investigation demonstrated that seagrass can be identified with 94% accuracy, although seagrass species cannot be satisfactorily recognized. The results implied that the WorldView-2 satellite imagery is a suitable data source for seagrass distribution mapping. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2077-1312 |
| Relation: |
https://www.mdpi.com/2077-1312/7/4/98; https://doaj.org/toc/2077-1312 |
| DOI: |
10.3390/jmse7040098 |
| Access URL: |
https://doaj.org/article/f118678d0248444faafc2d3584b25acb |
| Accession Number: |
edsdoj.f118678d0248444faafc2d3584b25acb |
| Database: |
Directory of Open Access Journals |
