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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes

Authors: Diego Bueso; Maria Piles; Gustau; Álvaro;

Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes

Abstract

I)SUMMARY This repository contains a harmonized database for the study of terrestrial ecosystem changes published in [Bueso et al., 2021]. It covers the period June 2010 - July 2020 and includes the following variables, which were harmonized to a common spatial scale of 25km and monthly temporal resolution and clustered as detailed in [Bueso et al., 2021]: - SM: soil moisture from SMOS-IC v2 - VOD: vegetation optical depth from SMOS-IC v2 - NDVI: Normalized Vegetation Difference Index from MODIS, product MOD13Q1 v6 - PREC: Rainfall from PERSIANN-CDR v2.2. Additionally, land cover information from MODIS MCD12Q1 collection 6 for years 2011 and 2019 is provided for each cluster. II) CONTACT For questions, please e-mail Diego Bueso at diego.bueso@uv.es III) DATABASE We provide the maps of identified clusters by quantile of SM and VOD and the code to generate Figs 1 and 2 of supplementary material in [Bueso et al., 2023]. We then provide for each identified cluster .mat files containing the variables described above. Further details are in the readme.txt file IV) CITE To properly acknowledge the dataset we kindly encourage users to (1) cite the DOI as an in-text citation and/or in the data acknowledgements in any publication and (2) reference the following publication: D. Bueso, M. Piles, P. Ciais, J-P. Wigneron, Á. Moreno-Martínez, G. Camps-Valls, "Soil and vegetation water content identify the main terrestrial ecosystem changes", National Science Review, 2023, https://doi.org/10.1093/nsr/nwad026

{"references": ["D. Bueso, M. Piles, P. Ciais, J-P. Wigneron, \u00c1. Moreno-Mart\u00ednez, G. Camps-Valls, \"Soil and vegetation water content identify the main terrestrial ecosystem changes\", National Science Review, 2023, https://doi.org/10.1093/nsr/nwad026"]}

Code for further analysis is available in GitHub: https://github.com/IPL-UV/SM-VOD-Trends

Related Organizations
Keywords

ecosystem, remote sensing, trend, soil moisture, vegetation optical depth, SMOS

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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