Monitoring Mangrove Forest Degradation and Regeneration: Landsat Time Series Analysis of Moisture and Vegetation Indices at Rabigh Lagoon, Red Sea
作者： Mohammed Othman Aljahdali , Sana Munawar , Waseem Razzaq Khan
DOI: 10.3390/F12010052
关键词:
摘要: Rabigh Lagoon, located on the eastern coast of Red Sea, is an ecologically rich zone in Saudi Arabia, providing habitat to Avicennia marina mangrove trees. The environmental quality lagoon has been decaying since 1990s mainly from sedimentation, road construction, and camel grazing. However, because remedial measures, communities have shown some degree restoration. This study aims monitor health Lagoon during time it was under stress construction after demolished. For this purpose, series EVI (Enhanced Vegetation Index), MSAVI (Modified, Soil-Adjusted NDVI (Normalized Difference NDMI Moisture Index) used as a proxy plant biomass indicator forest disturbance recovery. Long-term trend patterns, through linear, least square regression, were estimated using 30 m annual Landsat surface-reflectance-derived indices 1986 2019. outcome showed (1) positive over most region evaluation period; (2) slopes gradual weakly positive, implying subtle changes opposed abrupt changes; (3) all four divided times into three phases: degraded mangroves, slow recovery, regenerated mangroves; (4) performed best capturing various patterns related greenness vegetation; (5) better identified recovery terms water stress. Validating observed only regression slope proved be challenge. Therefore, parameters such salinity, pH/dissolved oxygen should also investigated explain calculated trends.
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