Publications
Living Earth is a science-based initiative and every effort is made to publish our approaches and outcomes in peer-reviewed journals and books. Articles may be globally-relevant or specific to countries (e.g., Australia, Wales) or regions (Southeast Asia) and include those relating to methods/algorithms, land cover, habitat and change frameworks and map products.
GLOBAL
Lucas, R.M., German, S., Metternicht, G., Schmidt, R.K., Owers, C.J., Prober, S.M., Richards, A.E., Tetreault‐Campbell, S., Williams, K.J., Mueller, N. and Tissott, B., 2022. A globally relevant change taxonomy and evidence‐based change framework for land monitoring. Global Change Biology, 28(21), pp.6293-6317. (https://doi.org/10.1111/gcb.16346).
UNITED KINGDOM
- Planque, C., Lucas, R., Punalekar, S., Chognard, S., Hurford, C., Owers, C., Horton, C., Guest, P., King, S., Williams, S., & Bunting, P. (2021). National crop mapping using sentinel-1 time series: A knowledge-based descriptive algorithm. Remote Sensing, 13(5), Article 846.(https://doi.org/10.3390/rs13050846).
AUSTRALIA
- Christopher J. Owers, Richard M. Lucas, Daniel Clewley, Belle Tissott, Sean M. T. Chua, Gabrielle Hunt, Norman Mueller, Carole Planque, Suvarna M. Punalekar, Pete Bunting, Peter Tan & Graciela Metternicht (2022) Operational continental-scale land cover mapping of Australia using the Open Data Cube, International Journal of Digital Earth, 15:1, 1715-1737, DOI: 10.1080/17538947.2022.2130461.
(See also: https://docs.dea.ga.gov.au/guides/about/publications/)
SWITZERLAND
- Annoni, A., Nativi, S., Çöltekin, A., Desha, C., Eremchenko, E., Gevaert, C.M., Giuliani, G., Chen, M., Perez-Mora, L., Strobl, J. and Tumampos, S., 2023. Digital earth: yesterday, today, and tomorrow. International Journal of Digital Earth, 16(1), pp.1022-1072. https://doi.org/10.1080/17538947.2023.2187467.
- Claire Obuchowicz, Charlotte Poussin & Gregory Giuliani (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.
- Külling N., Adde A., Fopp F., Schweiger A.K., Broennimann O., Rey P.-L., Giuliani G., Goicolea T., Petitpierre B., Zimmermann N.E., Pellissier L., Altermatt F., Lehmann A., Guisan A., SWECO25 (2025). A cross-thematic raster database for ecological research in Switzerland, Accepted by Nature Scientific Data.
- Markos A., Sims N., Giuliani G. (2022) Beyond the SDG 15.3.1 Good Practice Guidance 1.0 using the Google Earth Engine platform: developing a self-adjusting algorithm to detect significant changes in Water Use Efficiency and Net Primary Production, Big Earth Data https://doi.org/10.1080/20964471.2022.2076375.
- Moomen A., Lacroix P., Benvenuti A., Planque M., Piller T., Davis K., Miranda M., Ibrahim E., Giuliani G. (2022) Assessing the Applications of Earth Observation Data for Monitoring Artisanal and Small-Scale Gold Mining (ASGM) in Developing Countries, Remote Sensing 14(13):2971 https://doi.org/10.3390/rs14132971.
- 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
- Thomas I.N., Giuliani G. (2023) Exploring Switzerland’s Land Cover Change dynamics using a national statistical survey, Land 12, 1386 https://doi.org/10.3390/land12071386.
- 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.
- Giuliani G., Rodila D., Külling N., Maggini R., Lehmann A. (2022) Downscaling Switzerland Land Use/Land Cover data using nearest neighbors and an expert system, Land 11(5):615 https://doi.org/10.3390/land11050615.
- Lehmann A., Mazzetti P., Santoro M., Masó J., Serral I., Spengler D., Niamir A., Lacroix P., Ambrosone M., McCallum I., Kussul N., Patias P., Rodila D., Ray N., Giuliani G. (2022) Essential Variables from Earth Observation for environmental multi-scale indicators and policies. Environmental Science and Policy 131:105-117
- 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.
- 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 5(4):445-475 https://doi.org/10.1080/20964471.2021.1974681.
- 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 88:102068 https://doi.org/10.1016/j.jag.2020.102068.
- 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 https://doi.org/10.1080/20964471.2020.1711633.
- 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://doi.org/10.1016/j.jag.2019.102035.
- 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 https://doi.org/10.1080/20964471.2017.1398903.
See also https://www.swissdatacube.org/index.php/publications/)
SOUTHEAST ASIA (MALAYSIA, PAPUA NEW GUINEA).
- Lucas, R.; Otero, V.; Van De Kerchove, R.; Lagomasino, D.; Satyanarayana, B.; Fatoyinbo, T.; Dahdouh-Guebas, F. Monitoring Matang’s Mangroves in Peninsular Malaysia through Earth Observations: A Globally Relevant Approach. Land Degrad. Dev. 2021, 32, 354–373.
- Lucas, R., Van De Kerchove, R., Otero, V., Lagomasino, D., Fatoyinbo, L., Omar, H., Satyanarayana, B. and Dahdouh-Guebas, F. (2020). Structural characterisation of mangrove forests achieved through combining multiple sources of remote sensing data. Remote Sensing of Environment. 237, 111543.