Articles | Volume 17, issue 11
https://doi.org/10.5194/essd-17-5885-2025
© Author(s) 2025. This work is distributed under 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
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- Final revised paper (published on 05 Nov 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 24 Feb 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on essd-2024-351', Anonymous Referee #1, 02 Apr 2025
- AC1: 'Reply on RC1', Magí Franquesa, 06 Apr 2025
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RC2: 'Comment on essd-2024-351', Anonymous Referee #2, 11 Sep 2025
- AC2: 'Reply on RC2', Magí Franquesa, 12 Sep 2025
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Magí Franquesa on behalf of the Authors (24 Sep 2025)
Author's response
Author's tracked changes
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ED: Publish subject to minor revisions (review by editor) (27 Sep 2025) by Birgit Heim
AR by Magí Franquesa on behalf of the Authors (29 Sep 2025)
Author's response
Author's tracked changes
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ED: Publish as is (10 Oct 2025) by Birgit Heim
AR by Magí Franquesa on behalf of the Authors (11 Oct 2025)
Manuscript
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”.