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Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing

September 20, 2024

Raster data shows landscape scale trajectories of change as four potential scenarios based on Normalized Difference Vegetation Index (NDVI) trends and standard deviation trends using full time series (Scenarios_All_FULL_TS.tif) as well as time series up to LandTrendr breakpoint if detected (Scenarios_All_LT_TS.tif). Time series analysis for trend use Landsat surface reflectance imagery from 1985 to 2021. Scenarios: 1) Abrupt Transition – ecosystem is unstable and transitioning to alternate state (regime shift, exhibiting EWS); 2) Slowly Transitioning – ecosystem is transitioning slowly to alternate state (no EWS detected); 3) Recovering ecosystem – ecosystem is unstable but also becoming re-vegetated over the years; 4) Stable – becoming “greener” and more stable over time.

Publication Year 2024
Title Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing
DOI 10.5066/P145DV8T
Authors Melinda Martinez, Marcelo Ardon, Joshua Gray
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Eastern Ecological Science Center at the Leetown Research Laboratory
Rights This work is marked with CC0 1.0 Universal
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