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USGS Data Source
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Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing
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.
Author(s) |
Melinda Martinez |
Publication Date | 2024-09-16 |
Beginning Date of Data | 1985-08-01 |
Ending Date of Data | 2021-12-31 |
Data Contact | |
DOI | https://doi.org/10.5066/P145DV8T |
Citation | Martinez, M., Ardon, M., and Gray, J., 2024, Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing: U.S. Geological Survey data release, https://doi.org/10.5066/P145DV8T. |
Metadata Contact | |
Metadata Date | 2024-09-16 |
Related Publication | There was no related primary publication associated with this data release. |
Citations of these data | No citations of these data are known at this time. |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2024-09-17T04:55:17.053Z