cff-version: 1.2.0
abstract: "<p>In the publication associated with this dataset, we investigate the spatial phenology of salt marsh vegetation in the Dutch Western Scheldt estuary over the past three decades (1993–2022). Landsat-derived EVI2 (two-band enhanced vegetation index) data were exported from Google Earth Engine (GEE) and processed with the R package phenofit to extract pixel-wise phenological indicators and assess long-term vegetation dynamics. Open-source maps of emersion duration, elevation, vegetation, and ecotopes from Rijkswaterstaat were processed in ArcGIS Pro, while meteorological data from KNMI and drought index time series from the Global SPEI database (SPEIbase) were processed in R. After integrating all datasets, we generated pixel-based and formatted data tables and shapefiles, which were then used for further analysis and visualization in R. This dataset contains the processed data and R code used to produce all figures in the article, along with descriptive files detailing the original data sources.</p>"
authors:
  - family-names: Feng
    given-names: Jing
    orcid: "https://orcid.org/0009-0005-1212-1509"
  - family-names: Grandjean
    given-names: Tim
    orcid: "https://orcid.org/0000-0002-2729-3566"
  - family-names: Wu
    given-names: Xuerong
    orcid: "https://orcid.org/0009-0000-4369-1436"
  - family-names: van de Koppel
    given-names: Johan
    orcid: "https://orcid.org/0000-0002-0103-4275"
  - family-names: van der Wal
    given-names: Daphne
    orcid: "https://orcid.org/0000-0002-2319-056X"
title: "Data associated with the article &#34;Long-term phenological shifts in coastal saltmarsh vegetation reveal complex responses to climate change&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/ae92386c-56be-4ff4-bc13-cc4f84a1486e.v1
license: CC BY 4.0
date-released: 2025-10-01