Dataset describing riparian vegetation trends of selected areas in Baja California Sur, Mexico from 2016-2024
This dataset includes raster images of trends in normalized difference vegetation index (NDVI) derived from Sentinel-2 imagery for riparian vegetation within the Los Planes watershed of Baja California Sur, Mexico. A model was first trained to identify riparian vegetation using cloud-masked Sentinel-2 imagery from 2016-2024 and stream delineations derived from a 10m Japanese Aerospace Exploration Agency (JAXA) digital surface model. 30 riparian and 30 non-riparian point locations were used to train the random forest classifier. With each image classified, we took the average number of riparian classifications for each pixel across the time series. Pixels that passed a 60% threshold of being classified as riparian vegetation were considered riparian vegetation. The NDVI for each riparian vegetation pixel was calculated across the time series. Two different trend measurements, Sen's slope and a harmonic regression, were used to identify the NDVI trend for each riparian vegetation pixel.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Britt W Smith", "@type": "vcard:Contact", "hasEmail": "mailto:bwsmith@usgs.gov" } |
| description | This dataset includes raster images of trends in normalized difference vegetation index (NDVI) derived from Sentinel-2 imagery for riparian vegetation within the Los Planes watershed of Baja California Sur, Mexico. A model was first trained to identify riparian vegetation using cloud-masked Sentinel-2 imagery from 2016-2024 and stream delineations derived from a 10m Japanese Aerospace Exploration Agency (JAXA) digital surface model. 30 riparian and 30 non-riparian point locations were used to train the random forest classifier. With each image classified, we took the average number of riparian classifications for each pixel across the time series. Pixels that passed a 60% threshold of being classified as riparian vegetation were considered riparian vegetation. The NDVI for each riparian vegetation pixel was calculated across the time series. Two different trend measurements, Sen's slope and a harmonic regression, were used to identify the NDVI trend for each riparian vegetation pixel. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P13YTGHP", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.69402cc0d4be0258c128e6f7.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_69402cc0d4be0258c128e6f7 |
| keyword |
[ "Baja California Sur", "Mexico", "USGS:69402cc0d4be0258c128e6f7", "biota", "hydrology", "remote sensing", "riparian ecosystems", "time series analysis", "vegetation" ] |
| modified | 2026-02-12T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -110.13076, 23.92429, -110.05970, 24.07036 |
| theme |
[ "geospatial" ] |
| title | Dataset describing riparian vegetation trends of selected areas in Baja California Sur, Mexico from 2016-2024 |
