Publications

  1. Obuchowicz C., Poussin C., Giuliani G. (2023) Change in observed long-term greening across Switzerland – Evidence from a three decades NDVI time-series and its relationship with climate and land cover factors, Big Earth Data https://doi.org/10.1080/20964471.2023.2268322
  2. Poussin C., Timoner P., Chatenoux B., Giuliani G., Peduzzi P. (2023) Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalised linear mixed model, Science of Remote Sensing 7:100078 https://doi.org/10.1016/j.srs.2023.100078
  3. Cornut C., Ozainne S., Poussin C., Andenmatten R., Giuliani G. (2022) Identifying areas of archaeological potential in the Swiss Alps using satellite-derived time-series of snow cover estimates. Remote Sensing Applications: Society and Environment 28:100838 https://doi.org/10.1016/j.rsase.2022.100838
  4. Xu C., Du X., Fan X., Giuliani G., Wang W., Liu J., Wang T., Hu Z., Yan Z., Zhu J., Jiang T., Guo H. (2022) Cloud-based Storage and Computing for Remote Sensing Big Data: A Technical Review. International Journal of Digital Earth 15(1):1417-1445 https://doi.org/10.1080/17538947.2022.2115567
  5. Blanc, N., Cannata, M., Collombin, M., Ertz, O., Giuliani, G., & Ingensand, J. (2022). OGC API state of play – a practical testbed for the national spatial data infrastructure in Switzerland. The International Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences, XLVIII-4/W1-2022, 59-65 https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-59-2022
  6. Sudmanns M., Augustin H., Killough B., Giuliani G., Tiede D., Leith A., Yuan F. (2022) Think global, cube local: An Earth Observation Data Cube’s contribution to the Digital Earth vision, Big Earth Data https://doi.org/10.1080/20964471.2022.2099236
  7. Chatenoux B., Richard J.-P. Small D., Roeoesli C., Wingate V., Poussin C., Rodila D., Peduzzi P., Steinmeier C., Ginzler C., Psomas A., Schaepman M., Giuliani G. (2021) The Swiss Data Cube: Analysis Ready Data archive using Earth Observations of Switzerland, Nature Scientific Data. 8:295 https://doi.org/10.1038/s41597-021-01076-6
  8. Poussin C., Massot A., Ginzler C., Weber D., Chatenoux B., Lacroix P., Piller T., Nguyen L., Giuliani G. (2021) Drying conditions in Switzerland – Indication from a 35-year Landsat trend analysis of vegetation water content estimates to support SDGs, Big Earth Data x(x):xx-xx https://doi.org/10.1080/20964471.2021.1974681
  9. Thornton J.M., Palazzi E., Pepin N.C., Cristofanelli P., Essery R., Kotlarski S., Giuliani G., Guigoz Y., Kulonen A., Li X., Pritchard D., Fowler H.J., Randin C.F., Shahgedanova M., Steinbacher M., Zebisch M., Adler C. (2021) Towards a definition of Essential Mountain Climate Variables, OneEarth https://doi.org/10.1016/j.oneear.2021.05.005
  10. Giuliani G., Cazeaux H.  Burgi P.-Y., Poussin C., Richard J.-P., Chatenoux B. (2021) SwissEnvEO: a FAIR national environmental data repository for Earth Observation Open Science, CODATA Data Science Journal 20(1):22 https://datascience.codata.org/articles/10.5334/dsj-2021-022/
  11. Barras A.G., Braunisch V., Arlettaz R. (2021) Predictive models of distribution and abundance of a threatened mountain species show that impacts of climate change overrule those of land use change. Divers Distrib.  https://doi.org/10.1111/ddi.13247
  12. Astsatryan H., Grigoryan H., Poghosyan A., Abrahamyan R., Asmaryan S., Muradyan V., Tepanosyan G., Guigoz Y., Giuliani G. (2021) Air temperature forecasting using artificial neural network for Ararat valley, Earth Science Informatics 14:711-722 https://link.springer.com/article/10.1007/s12145-021-00583-9
  13. Giuliani G., Egger E., Italiano J., Poussin C., Richard J.-P., Chatenoux B. (2020) Essential Variables for environmental monitoring: What are the possible contributions of Earth Observation Data Cubes, Data 5:100 https://www.mdpi.com/2306-5729/5/4/100
  14. Giuliani G., Mazzetti P., Santoro M., Nativi S., Van Bemmelen J., Colangeli G., Lehmann A. (2020) Knowledge generation using satellite Earth Observations to support Sustainable Development Goals (SDG): a use case on Land Degradation, International Journal of Applied Earth Observation and Geoinformation 88:10206 https://www.sciencedirect.com/science/article/pii/S0303243419311869
  15. Giuliani G., Chatenoux B., Benvenuti A., Lacroix P., Santoro M., Mazzetti P. (2020) Monitoring Land Degradation at national level using satellite Earth Observation time-series data to support SDG15 – Exploring the potential of Data Cube, Big Earth Data X(X):XX https://www.tandfonline.com/doi/full/10.1080/20964471.2020.1711633
  16. Giuliani G., Chatenoux B., Piller T., Moser F., Lacroix P., Data Cube on Demand (DCoD): Generating Earth Observation Data Cube anywhere (2020) International Journal of Applied Earth Observation and Geoinformation 87:102035 https://www.sciencedirect.com/science/article/pii/S0303243419310372
  17. Giuliani G., Camara G., Killough B., Minchin S. (2019) Earth Observation Open Science: Enhancing reproducible science using Data Cubes, Data 4(4):14 https://www.mdpi.com/2306-5729/4/4/147
  18. Dhu T., Giuliani G., Juarez J., Kavadda A., Killough B., Merodio P., Minchin S., Ramage S. (2019)  National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices, Data 4(4): 144 https://www.mdpi.com/2306-5729/4/4/144
  19. Poussin C., Guigoz Y., Palazzi E., Terzago S., Chatenoux B., Giuliani G. (2019) Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube. Data 4(4):138 https://www.mdpi.com/2306-5729/4/4/138
  20. Asmaryan S., Muradyan, V., Tepanosyan G., Hovsepyan A., Saghatelyan A., Astsatryan H., Grigoryan H., Abrahamyan R., Guigoz G., Giuliani G. (2019) Paving the way towards an Armenian Data Cube. Data 4(3):117 https://www.mdpi.com/2306-5729/4/3/117
  21. Giuliani G., Maso J., Mazzetti P., Nativi S., Zabala A. (2019)   Paving the way to increased interoperability of Earth Observations Data Cube. Data 4(3):113 https://www.mdpi.com/2306-5729/4/3/113
  22. Truckenbrodt J., Freemantle T., Williams C., Jones T., Small D., Dubois C., Thiel C., Rossi C., Syriou A., Giuliani G. (2019) Towards Sentinel-1 SAR Analysis Ready Data: A best practices assessment on preparing backscatter data for the cube. Data 4(3):93 https://www.mdpi.com/2306-5729/4/3/93
  23. Salzano R., Salvatori R., Valt M., Giuliani G., Chatenoux B., Ioppi L. (2019) The contribution of terrestrial photography to the remote sensing of snow cover, Geosciences 9(2):97 https://www.mdpi.com/2076-3263/9/2/97/htm
  24. Honeck E., Castello R., Chatenoux B., Richard J.-P., Lehmann A., Giuliani G. (2018) From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland. International Journal of Geo-Information 7(12):455 https://www.mdpi.com/2220-9964/7/12/455
  25. Frau L., Rizvi S., Chatenoux B., Richard J.-P., Giuliani G. (2018) Snow Observations from Space: An approach to map snow cover from three decades of Landsat imagery across Switzerland. In: IGARSS 2018 – IEEE International Geoscience and Remote Sensing Symposium. Valencia (Spain). p. 8672-8675 https://ieeexplore.ieee.org/document/8518394
  26. Giuliani G., Chatenoux B., Honeck E., RichardJ.-P. (2018) Towards Sentinel 2 Analysis Ready Data: A Swiss Data Cube Perspective. In: IGARSS 2018 – IEEE International Geoscience and Remote Sensing Symposium. Valencia (Spain). p. 8668-8671 https://ieeexplore.ieee.org/document/8517954
  27. Giuliani G., Chatenoux B., De Bono A., Rodila D., Richard J.-P., Allenbach K., Dao H., Peduzzi P. (2017) Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD). Big Earth Data 1(1):1-18 http://www.tandfonline.com/doi/full/10.1080/20964471.2017.1398903