The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/3bcb20ce-193d-4d1f-b726-3112cee1aad1

Lastra Muñoz, José; Chávez, Roberto O.; Decuyper, Mathieu; Alvaro Lau Sarmiento; de Beurs, Kirsten (2025): Data underlying: 'Assessing the spatio-temporal cumulative drought effects on two Mediterranean forest types in Central Chile.'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3bcb20ce-193d-4d1f-b726-3112cee1aad1.v1

Categories

• Environmental and Natural Resource Evaluation
• Other Environmental Sciences
• Other Environment
• Environmental Sciences
• Environment

Keywords

Cumulative effects Droughts Forest resilience Mediterranean Forests Remote Sensing

Geolocation

Time coverage

2000-2024

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Lastra Munoz, Jose , Roberto O. Chávez , Mathieu Decuyper , Alvaro Lau Sarmiento , Kirsten de Beurs

This dataset is associated with "Assessing the spatio-temporal cumulative drought effects on two Mediterranean forest types in Central Chile" ( DOI with link will come after publication). The dataset includes the following remote sensing data in GeoTIFF format:

• Enhance Vegetation Index (EVI) and Moisture Stress Index (MSI) anomalies derived from Daily MODIS NADIR BRDF-Adjusted Reflectance (NBAR) MCD43A4 V061 data.
• Evapotranspiration (ET) Anomalies derived from 8-day MODIS MOD16A2GF V061 data.
• Cumulative sums raster stack for EVI, MSI, and ET.
• Detected events: all registered and largest (negative/positive).

Other data that is included:

• Tabular information used for modelling.
• Mean time series for EVI, MSI and ET for the whole study area used for the time-series analysis.
• R scripts for the event detection procedure and auxiliary functions.

All raw input data is publicly available at their original sources.

History

• 2025-11-17 first online, published, posted

Publisher

4TU.ResearchData

Format

*.tiff, *.csv, *.R

Organizations

Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands.
Laboratorio de Geo-Información y Percepción Remota, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.