the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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).
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Status: open (until 20 May 2025)
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RC1: 'Comment on essd-2024-351', Anonymous Referee #1, 02 Apr 2025
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Near-real-time vegetation monitoring and historical database (1981-present) for the Iberian Peninsula and the Balearic Islands
This work and its associated dataset include spatio-temporal series of vegetation índices for Iberian Peninsula and Baleraric Islands during 1981 to date. The authors also provide a link to visualize and download the trend of the indices. All of these resources are highly relevant for researchers, managers, land-owners, policy-makers as well as other stakeholders working on forestry, agriculture and other environmental sciences. Therefore, both the paper and the data are highly timely and potentially useful.
Overall, the manuscript is well-written and it is easy to follow. I recommend accepting it for publication.
Below, you can find some minor comments:
L107-108: why do the layer represent the highest value? Why not the mean or the median?
L112: please add the EPSG as you do at the end of the manuscript.
L144: what is the difference between the average here and the highest NDVI in L107-108.
L254: I have some concerns on the map used. In my opinion, authors should provide some details such as map spatial resolution. On the other hand, is the map temporally dynamic? I mean, do the land uses change over time? I wonder how changes in land uses (or the lack of the changes in the map) have been considered in your study.
L365. The color ramps of the maps do not correspond with the color ramps of the histogram. I mean, for instance in Fig 6a, correlation values equal to 1 are represented in blue in the map but these values are red in the histogram. Please, be consistent.
L377 and Figure 8. Well, there is a positive relationship between NDVI and kNDVI but it seems that a model including a squared effect would improve the quality of the fit. Therefore, I would not state that “the data reveal a linear relationship”.
Citation: https://doi.org/10.5194/essd-2024-351-RC1 -
AC1: 'Reply on RC1', Magí Franquesa, 06 Apr 2025
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We sincerely thank the reviewer for their positive assessment and for recommending our manuscript for publication.
Please, find a detailed response to the comments in the attached file.
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AC1: 'Reply on RC1', Magí Franquesa, 06 Apr 2025
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Data sets
Vegetation Indices for the Iberian Peninsula and Balearic Islands (VIIB) Database M. Franquesa et al. https://digital.csic.es/handle/10261/353068
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