Gustau Camps-Valls - Selected Publications#

1. “Recent advances in techniques for hyperspectral image processing.” A. Plaza, J. A. Benediktsson, J. W. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. hanussot, M. Fauvel, P. Gamba, A. Gualtieri, M. Marconcini, J. C. Tilton, G. Trianni. Rem. Sens. Environ., 113, S110-S122, 2009.
* Journal Impact factor (JIF)=5.10, >1500 cites. Perspective on the potential of machine learning for hyperspectral image processing.

2. “Kernel-based methods for hyperspectral image classification.” G. Camps-Valls and L. Bruzzone. IEEE Trans. Geosc. Rem. Sens., 43 (6), 1351-1362, 2005.
* JIF=3.16, >1400 cites. Identified by Thomson Reuters ScienceWatch as Fast-Moving Front research, and initiated the revolution of kernel methods for remote sensing data analysis.

3. “Deep learning and process understanding for data-driven Earth System Science”. Reichstein, M. and Camps-Valls, G. and Stevens, B. and Denzler, J. and Carvalhais, N. and Jung, M. and Prabhat. Nature 566 :195-204, 2019
* Seminal perspective paper advocating for the combination of AI and process understanding. JIF: 49.96, 1000+ citations, Hot paper in Clarivate InCites (~300 citations per year). Paper in the 99th percentile, in the top 5% of all research outputs ever tracked by Altmetric and scoring higher than 87% of its contemporaries in Nature. See https://universitybadge.altmetric.com/details/55408968

4 “A Unified Vegetation Index for Quantifying the Terrestrial Biosphere”. G. Camps-Valls, M Campos-Taberner, A Moreno-Martínez, S Walther, G Duveiller, A Cescatti, M Mahecha, J Muñoz-Marí, F.J García-Haro, Luis Guanter, John Gamon, Martin Jung, Markus Reichstein, Steven W. Running. Science Advances, 2021.
* Generalization of all vegetation indices for remote sensing applications. 20,000 downloads in a few months. In the top 5% of all research outputs ever tracked by Altmetric, scoring higher than 97% of its contemporary's papers. See https://universitybadge.altmetric.com/details/101056355

5. “Emergent vulnerability to climate-driven disturbances in European forests”. Forzieri, G. and Girardello, M. and Ceccherini, G. and Spinoni, J. and Feyen, L. and Hartmann, H. and Beck, P.S.A and Camps-Valls, G. and Chirici, G. and Mauri, A. and Cescatti, A. Nature Communications, 2021.
* Machine learning and data processing quantify that half of Europe's forests are vulnerable to climate-related hazards. Large media coverage, 13000 downloads in few months. In the top 5% of all research outputs ever tracked by Altmetric, scoring higher than 98% of its contemporary's papers in Nature Communications. See https://universitybadge.altmetric.com/details/100715171.

6. “Kernel methods for remote sensing data analysis”. G. Camps-Valls and L. Bruzzone G. Book Wiley & Sons 2009.
* 420 citations, seminal book on the field that introduced support vector machines in remote sensing. Wide adoption by a large community.

7. “Compensatory water effects link yearly global land CO2 sink changes to temperature”. Jung, M. and Reichstein, M. and Schwalm, C. R. and Huntingford, C. and Sitch, S. and Ahlström, A. and Arneth, A. and Camps-Valls, G. and Ciais, P. and Friedlingstein, P. et al. Nature 541 (7638):516-520, 2017.
* Machine learning and data processing help to reconcile a long-standing debate about the drivers most influencing carbon sinks. 390+ citations. JIF: 49.96. Large media coverage, 13000 downloads in a few months. In the top 5% of all research outputs ever tracked by Altmetric, scoring higher than 98% of its contemporary's papers in Nature. See https://www.nature.com/articles/nature20780/metrics

8. “Inferring causation from time series with perspectives in Earth system sciences”. Runge, J. and Bathiany, S. and Bollt, E. and Camps-Valls, ... and Zscheischler, J. Nature Communications (2553):1-13, 2019.
* Perspective on the challenges and opportunities of causal inference for the Earth sciences. JIF: 12.2. Large media coverage, 43000 downloads in a few months. In the top 5% of all research outputs ever tracked by Altmetric, scoring higher than 98% of its contemporary's papers in Nature Communications. See https://www.nature.com/articles/s41467-019-10105-3/metrics

9. “Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence”. L. Guanter, Y. Zhang, M. Jung, J. Joiner, M. Voigt, J. A. Berry, C. Frankenberg, A. Huete, P. Zarco-Tejada, J-E. Lee, M. S. Moran, G. Ponce-Campos, C. Beer, G. Camps-Valls, N. Buchmann, D. Gianelle, K. Klumpp, A. Cescatti, J. M. Baker, and T. J. Griffis. Proceedings of the National Academy of Sciences, PNAS, 2014.
* First global maps of chlorophyll fluorescence from space. JIF: 12.2. Large media coverage, 40000 downloads in a year. In the top 5% of all research outputs ever tracked by Altmetric, scoring higher than 99% of its contemporary's papers in PNAS. See https://universitybadge.altmetric.com/details/2212419

10. “Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science, and geosciences” Book. Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein (Editors) Wiley & Sons Sept. 2021.
* Seminal book on deep learning for the Earth sciences unified (remote sensing, geosciences, and climate). 20 citations in a few months.