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MONITORING AND ANALYZING THE SEASONAL WETLAND INUNDATION DYNAMICS IN THE EVERGLADES FROM 2002 TO 2021 USING GOOGLE EARTH ENGINE
| Title: | MONITORING AND ANALYZING THE SEASONAL WETLAND INUNDATION DYNAMICS IN THE EVERGLADES FROM 2002 TO 2021 USING GOOGLE EARTH ENGINE. |
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| Name(s): |
Hasan, Ikramul, author Liu, Weibo, Thesis advisor Florida Atlantic University, Degree grantor Department of Geosciences Charles E. Schmidt College of Science |
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| Type of Resource: | text | |
| Genre: | Electronic Thesis Or Dissertation | |
| Date Created: | 2023 | |
| Date Issued: | 2023 | |
| Publisher: | Florida Atlantic University | |
| Place of Publication: | Boca Raton, Fla. | |
| Physical Form: | application/pdf | |
| Extent: | 52 p. | |
| Language(s): | English | |
| Abstract/Description: | Previously published in Geographies 2023, 3(1), 161-177 (DOI: https://doi.org/10.3390/geographies3010010) Inundation dynamics coupled with seasonal information is critical to study the wetland environment. Analyses based on remotely sensed data are the most effective means to monitor and investigate wetland inundation dynamics. For the first time, this study deployed an automated thresholding method to quantify and compare the annual inundation characteristics in dry and wet seasons in the Everglades, using Landsat imagery in Google Earth Engine (GEE). This research presents the long-term time series maps from 2002 to 2021, with a comprehensive spatiotemporal depiction of inundation. In this paper, we bridged the research gap of space-time analysis for multi-season inundation dynamics, which is urgently needed for the Everglades wetland. Within a GIS-based framework, we integrated statistical models, such as Mann–Kendall and Sen’s Slope tests, to track the evolutionary trend of seasonal inundation dynamics. The spatiotemporal analyses highlight the significant differences in wet and dry seasons through time and space. The stationary or permanent inundation is more likely to be distributed along the coastal regions (Gulf of Mexico and Florida Bay) of the Everglades, presenting a warning regarding their vulnerability to sea level rise. | |
| Identifier: | FA00014244 (IID) | |
| Degree granted: | Thesis (MS)--Florida Atlantic University, 2023. | |
| Collection: | FAU Electronic Theses and Dissertations Collection | |
| Note(s): | Includes bibliography. | |
| Subject(s): |
Everglades (Fla.)--Environmental conditions--Remote sensing Google Earth |
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| Persistent Link to This Record: | http://purl.flvc.org/fau/fd/FA00014244 | |
| Use and Reproduction: | Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. | |
| Host Institution: | FAU |
