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.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Melinda Martinez",
"@type": "vcard:Contact",
"hasEmail": "mailto:melindamartinez@usgs.gov"
}
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P145DV8T",
"mediaType": "application/http",
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{
"@type": "dcat:Distribution",
"title": "Original Metadata",
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"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.66314aa4d34ea70bd5f26836.xml"
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_66314aa4d34ea70bd5f26836 |
| keyword |
[
"Google Earth Engine",
"Landsat",
"North Carolina",
"USGS:66314aa4d34ea70bd5f26836",
"coastal wetlands",
"environment",
"imageryBaseMapsEarthCover",
"remote sensing"
]
|
| modified | 2024-09-16T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -77.2075, 35.2008, -75.7096, 36.0032 |
| theme |
[
"Geospatial"
]
|
| title | Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing |
