Near-real-time vegetation monitoring and historical database (1981–present) for the Iberian Peninsula and the Balearic Islands

Abstract. Systematic monitoring and assessment of vegetation dynamics and changes are essential for informing environmental management and conservation strategies. Addressing this need, our study introduces a pioneering procedure to generate a database of vegetation indices that provides semi-monthly updates from 1981 to the present at a 1.1 km spatial resolution, focusing on the Iberian Peninsula and the Balearic Islands. This database enables near-real-time monitoring and analysis of vegetation anomalies. The methodology developed combines harmonized historical satellite imagery from AVHRR, MODIS, and VIIRS sensors. The database's performance was assessed, demonstrating highly accurate and consistent harmonization of NDVI data over time. Notably, the database is adept at identifying temporal variability and trends in vegetation activity and detecting disturbances caused by fire and other phenomena. This work not only advances our understanding of vegetation dynamics in the region but also serves as a crucial tool for policymakers, environmental managers, and agricultural stakeholders. By providing near-real-time updates and using indices to monitor vegetation anomalies, the data allows for comparisons across seasons and vegetation types. The database, which includes the NDVI and kNDVI vegetation indices as well as their standardized versions, SNDVI and SkNDVI, is accessible via https://doi.org/10.20350/digitalCSIC/16201 (Franquesa et al., 2024).

Authors

Institutions

Publication Details

Journal
Earth system science data
Published
2025-11-05
DOI
https://doi.org/10.5194/essd-17-5885-2025
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Near-real-time vegetation monitoring and historical database (1981–present) for the Iberian Peninsula and the Balearic Islands

Fergus Reig, María Adell-Michavila, Amar Halifa‐Marín, Magí Franquesa et al.
1 citations
Earth system science data
Remote Sensing in Agriculture
1.72
article

Near-real-time vegetation monitoring and historical database (1981–present) for the Iberian Peninsula and the Balearic Islands

Fergus Reig, María Adell-Michavila, Amar Halifa‐Marín, Magí Franquesa, Santiago Beguerı́a, Sergio Martín Vicente-Serrano, Manuel Arretxea, Daniel Vilas
article en
1 citations

Abstract

Abstract. Systematic monitoring and assessment of vegetation dynamics and changes are essential for informing environmental management and conservation strategies. Addressing this need, our study introduces a pioneering procedure to generate a database of vegetation indices that provides semi-monthly updates from 1981 to the present at a 1.1 km spatial resolution, focusing on the Iberian Peninsula and the Balearic Islands. This database enables near-real-time monitoring and analysis of vegetation anomalies. The methodology developed combines harmonized historical satellite imagery from AVHRR, MODIS, and VIIRS sensors. The database's performance was assessed, demonstrating highly accurate and consistent harmonization of NDVI data over time. Notably, the database is adept at identifying temporal variability and trends in vegetation activity and detecting disturbances caused by fire and other phenomena. This work not only advances our understanding of vegetation dynamics in the region but also serves as a crucial tool for policymakers, environmental managers, and agricultural stakeholders. By providing near-real-time updates and using indices to monitor vegetation anomalies, the data allows for comparisons across seasons and vegetation types. The database, which includes the NDVI and kNDVI vegetation indices as well as their standardized versions, SNDVI and SkNDVI, is accessible via https://doi.org/10.20350/digitalCSIC/16201 (Franquesa et al., 2024).

Earth system science dataVol. 17(11)
Instituto Pirenaico de Ecología (ES), Estación Experimental de Aula Dei (ES), Instituto de Geociencias (ES)
Openalex Percentile: Top 13%
Remote Sensing in Agriculture
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.