2021

  • 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, https://doi.org/10.1080/20964471.2021.1974681
  • Giuliani, G., Cazeaux, H., Burgi, P.-Y., Poussin, C., Richard, J.-P. and Chatenoux, B., (2021). SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science. Data Science Journal, 20(1), p.22.http://doi.org/10.5334/dsj-2021-022
  • Jagdhuber, T; Montzka, C; Lopez-Martinez, C; Baur, MJ; Link, M; Piles, M; Das, NN; Jonard, F, (2021). Estimation of Vegetation Structure Parameters From SMAP Radar Intensity Observations, https://doi.org/10.1109/TGRS.2020.2991252
  • Rana, FM; Adamo, M, (2021). Multi-Scale LG-Mod Analysis for a More Reliable SAR Sea Surface Wind Directions Retrieval, https://doi.org/10.3390/rs13030410
  • De Marchi, S; Marchetti, F; Perracchione, E; Poggiali, D, (2021). Multivariate approximation at fake nodes, https://doi.org/10.1016/j.amc.2020.125628
  • Ibrahim E., Jinghyi J., Lema L., Barnabé P., Giuliani G., Lacroix P., Pirard E. ,(2021). Cloud and cloud-shadow detection for applications in mapping small-scale mining in Colombia using Sentinel-2 imagery. Remote Sensing 13(4), 736
  • McIsaac Michael A. , Sanders Eric, Kuester Theres, Aronson, Kristan J., Kyba, Christopher C. M., (2021). The impact of image resolution on power, bias, and confounding. A simulation study of ambient light at night exposure, http://dx.doi.org/10.1097/EE9.0000000000000145
  • Zabala, A.; Masó, J.; Bastin, L.; Giuliani, G.; Pons, X. (2021). Geospatial User Feedback: How to Raise Users’ Voices and Collectively Build Knowledge at the Same Time. ISPRS Int. J. Geo-Inf. , 10, 141, https://doi.org/10.3390/ijgi10030141

  • Giuliani, G.; Petri, E.; Interwies, E.; Vysna, V.; Guigoz, Y.; Ray, N.; Dickie, I., (2021). Modelling Accessibility to Urban Green Areas Using Open Earth Observations Data: A Novel Approach to Support the Urban SDG in Four European Cities. Remote Sens. 2021, 13, 422, https://doi.org/10.3390/rs13030422
  • Bayat, B., Camacho, F., Nickeson, J., Cosh, M., Bolten, J., Vereecken, H., Montzka, C., (2021). Toward operational validation systems for global satellite-based terrestrial essential climate variables. Int. J. Appl. Earth Obs. Geoinf. 95, 102240,  https://doi.org/10.1016/j.jag.2020.102240

2020

  • N. Kussul et al.,(2020). “Crop monitoring technology based on time series of satellite imagery,” 2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT), pp. 346-350,  https://doi.org/10.1109/DESSERT50317.2020.9125031
  • N. Kussul, M. Lavreniuk and L. Shumilo, (2020), “Deep Recurrent Neural Network for Crop Classification Task Based on Sentinel-1 and Sentinel-2 Imagery,” IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 6914-6917,  https://doi.org/10.1109/IGARSS39084.2020.9324699
  • Kussul, N., Lavreniuk, M., Kolotii, A., Skakun, S., Rakoid, O., Shumilo, L. A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data (2020) International Journal of Digital Earth, 13 (2), pp. 309-321, https://doi.org/ 10.1080/17538947.2019.1610807
  • Ibrahim E., Lema L., Barnabé P., Lacroix P., Pirard E. (2020). Small-scale surface mining of gold placers: detection, mapping and temporal analysis through the use of free satellite imagery. International Journal of Applied Earth Observation and Geoinformation 93:102194, https://doi.org/10.3390/rs13040736
  • Moomen A., Lacroix P., Bertolotto M., Jensen D.(2020). The Drive towards Consensual Perspectives for Enhancing Sustainable Mining. Resources 9:147 https://doi.org/10.3390/resources9120147
  • Aracri G., Caruso A., Folino A. (2020). An ontological model for semantic interoperability within an Earth Observation knowledge base, in “Knowledge Organization at the Interface Proceedings of the Sixteenth International ISKO Conference”, Aalborg, Denmark, in «ADVANCES IN KNOWLEDGE ORGANIZATION», edited by M. Lykke, T. Svarre, M. Skov, D. Martínez-Ávila, Ergon-Verlag, vol. 17, pp. 13-22, http://dx.doi.org/10.5771/9783956507762-13
  • CCM.Kyba, A.Ruby, HU.Kuechly, B.Kinzey, N.Miller, J.Sanders, J.Barentine, R. Kleinodt, B. Espey (2020). Direct measurement of the contribution of street lighting to satellite observations of nighttime light emissions from urban areas, https://doi.org/10.1177/1477153520958463
  • Inbal Ayalon, Yaeli Rosenberg, Jennifer I.C.Benichou, Celine Luisa D.Campos, Sherry Lyn G.Sayco, Michael Angelou L.Nada, Jake Ivan P.Baquiran, Charlon A.Ligson, Dror Avisar, Cecilia Conaco, Helga U.Kuechly, Christopher C.M.Kyba, Patrick C.Cabaitan, Oren Levy (2020). Coral Gametogenesis Collapse under Artificial Light Pollution, https://doi.org/10.1016/j.cub.2020.10.039
  • Giuliani, G., Egger, E., Italiano, J., Poussin, C., Richard, J.-P., Chatenoux, (2020). Essential Variables for Environmental Monitoring: What are the Possible Contributions of Earth Observation Data Cubes?  https://doi.org/10.3390/data5040100
  • Travis Longcore, Dan Duriscoe, Martin Aubé, Andreas Jechow, Christopher C. M. Kyba, Kellie L. Pendoley (2020). Commentary: Brightness of the Night Sky Affects Loggerhead (Caretta caretta) Sea Turtle Hatchling Misorientation but Not Nest Site Selection, https://doi.org/10.3389/fmars.2020.00706
  • Saverio Vicario, Maria Adamo, Domingo Alcaraz-Segura, Cristina Tarantino (2020). Bayesian Harmonic Modelling of Sparse and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires, https://doi.org/10.3390/rs12010083
  • John C.Barentine, František Kundracik, Miroslav Kocifaj, Jessie C.Sanders, Gilbert A.Esquerdo, Adam M.Dalton, Bettymaya Foott, AlbertGrauer, Scott Tucker, Christopher C.M.Kyba (2020). Recovering the city street lighting fraction from skyglow measurements in a large-scale municipal dimming experiment, https://doi.org/10.1016/j.jqsrt.2020.107120
  • Jacqueline Coesfeld, Theres Kuester, Helga U. Kuechly, Christopher C. M. Kyba, (2020). Reducing Variability and Removing Natural Light from Nighttime Satellite Imagery: A Case Study Using the VIIRS DNB, https://www.mdpi.com/1424-8220/20/11/3287
  • Alejandro Sanchez de Miguel, Christopher C. M. Kyba, Jaime Zamorano, Jesús Gallego, Kevin J. Gaston, (2020). The nature of the diffuse light near cities detected in nighttime satellite imagery, https://doi.org/10.1038/s41598-020-64673-2
  • Andreas Christopher C.M.Kyba, FranzHölker, 2020). Mapping the brightness and color of urban to rural skyglow with all-sky photometry, https://doi.org/10.1016/j.jqsrt.2020.106988
  • Kai Pong Tong, Christopher C.M.Kyba, Georg Heygster, Helga U.Kuechly, Justus Notholt, Zoltn Kollth, (2020). Angular distribution of upwelling artificial light in Europe as observed by Suomi–NPP satellite, https://doi.org/10.1016/j.jqsrt.2020.107009
  • Christopher C. M. Kyba, Jeff Conrad, Tom Shatwell, (2020). Lunar illuminated fraction is a poor proxy for moonlight exposure, https://doi.org/10.1038/s41559-020-1096-7
  • Giuliani G., Mazzetti P., Santoro M., Nativi S., Bemmelen J.V., Colangeli G., Lehmann A., (2020). Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation, 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://www.tandfonline.com/doi/full/10.1080/20964471.2020.1711633
  • Christopher C.M. Kyba, Sara B. Pritchard, A. Roger Ekirch, Adam Eldridge, Andreas Jechow, Christine Preiser, Dieter Kunz, Dietrich Henckel, Franz Hölker, John Barentine, Jørgen Berge, Josiane Meier, Luc Gwiazdzinski, Manuel Spitschan, Mirik Milan, Susanne Bach, Sibylle Schroer, Will Straw (2020). Night Matters—Why the Interdisciplinary Field of “Night Studies” Is Needed, https://doi.org/10.3390/j3010001
  • Gregory Giuliania, Bruno Chatenoux, Thomas Piller, Frédéric Moser, Pierre Lacroix (2020). Data Cube on Demand (DCoD): Generating an earth observation Data Cube anywhere in the world
    https://doi.org/10.1016/j.jag.2019.102035
  • Wellmann, T; Lausch, A; Andersson, E; Knapp, S; Cortinovis, C; Jache, J; Scheuer, S; Kremer, P; Mascarenhas, A; Kraemer, R; Haase, A; Schug, F; Haase, D, (2020). Remote sensing in urban planning: Contributions towards ecologically sound policies? https://doi.org/10.1016/j.landurbplan.2020.103921
  • Lausch, A; Schaepman, ME; Skidmore, AK; Truckenbrodt, SC; Hacker, JM; Baade, J; Bannehr, L; Borg, E; Bumberger, J; Dietrich, P; Glasser, C; Haase, D; Heurich, M; Jagdhuber, T; Jany, S; Kronert, R; Moller, M; Mollenhauer, H; Montzka, C; Pause, M; Rogass, C; Salepci, N; Schmullius, C; Schrodt, F; Schutze, C; Schweitzer, C; Selsam, P; Spengler, D; Vohland, M; Volk, M; Weber, U; Wellmann, T; Werban, U; Zacharias, S; Thiel, C (2020). Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity-Part II: Geomorphology, Terrain and Surfaces https://doi.org/10.3390/rs12223690
  • Bachini, E; Putti, M (2020). Geometrically intrinsic modeling of shallow water flows https://doi.org/10.1051/m2an/2020031
  • Buhmann, MD; de Marchi, S; Perracchione, E. (2020). Analysis of a new class of rational RBF expansions https://doi.org/10.1093/imanum/drz015
  • Campagna, R; Cuomo, S; De Marchi, S; Perracchione, E; Severino, G, (2020). A stable meshfree PDE solver for source-type flows in porous media https://doi.org/10.1016/j.apnum.2019.08.015
  • Facca, E; Daneri, S; Cardin, F; Putti, M (2020). Numerical Solution of Monge-Kantorovich Equations via a Dynamic Formulation https://doi.org/10.1007/s10915-020-01170-8
  • Ritonja, J; McIsaac, MA; Sanders, E; Kyba, CCM; Grundy, A; Cordina-Duverger, E; Spinelli, JJ; Aronson, KJ (2020). Outdoor light at night at residences and breast cancer risk in Canada https://doi.org/10.1007/s10654-020-00610-x
  • Honeck, E; Moilanen, A; Guinaudeau, B; Wyler, N; Schlaepfer, MA; Martin, P; Sanguet, A; Urbina, L; von Arx, B; Massy, J; Fischer, C; Lehmann, A (2020). Implementing Green Infrastructure for the Spatial Planning of Peri-Urban Areas in Geneva, Switzerland https://doi.org/10.1038/s41559-020-1096-7
  • Lehmann, A; Maso, J; Nativi, S; Giuliani, G (2020). Towards integrated essential variables for sustainability https://doi.org/10.1080/17538947.2019.1636490
  • De Marchi, S; Marchetti, F; Perracchione, E; Poggiali, D (2020). Polynomial interpolation via mapped bases without resampling https://doi.org/10.1016/j.cam.2019.112347
  • De Marchi, S; Erb, W; Marchetti, F; Perracchione, E; Rossini, M (2020). SHAPE-DRIVEN INTERPOLATION WITH DISCONTINUOUS KERNELS: ERROR ANALYSIS, EDGE EXTRACTION, AND APPLICATIONS IN MAGNETIC https://doi.org/10.1137/19M1248777
  • De Marchi, S; Marchetti, F; Perracchione, E (2020). Jumping with variably scaled discontinuous kernels (VSDKs) https://doi.org/10.1007/s10543-019-00786-z
  • Soudzilovskaia, NA; van Bodegom, PM; Terrer, C; van’t Zelfde, M; McCallum, I; McCormack, ML; Fisher, JB; Brundrett, MC; de Sa, NC; Tedersoo, L (2020). Global mycorrhizal plant distribution linked to terrestrial carbon stocks https://doi.org/10.1038/s41467-019-13019-2
  • Park, CH; Montzka, C; Jagdhuber, T; Jonard, F; De Lannoy, G; Hong, J; Jackson, TJ; Wulfmeyer, V (2020). A Dielectric Mixing Model Accounting for Soil Organic Matter https://doi.org/10.2136/vzj2019.04.0036
  • Shelestov, A; Kolotii, A; Borisova, T; Turos, O; Milinevsky, G; Gomilko, I; Bulanay, T; Fedorov, O; Shumilo, L; Pidgorodetska, L; Kolos, L; Borysov, A; Pozdnyakova, N; Chunikhin, A; Dudarenko, M; Petrosian, A; Danylevsky, V; Miatselskaya, N; Choliy, V (2020). Essential variables for air quality estimation https://doi.org/10.1080/17538947.2019.1620881
  • McCallum, I; Montzka, C; Bayat, B; Kollet, S; Kolotii, A; Kussul, N; Lavreniuk, M; Lehmann, A; Maso, J; Mazzetti, P; Mosnier, A; Perracchione, E; Putti, M; Santoro, M; Serral, I; Shumilo, L; Spengler, D; Frit, S (2020). Developing food, water and energy nexus workflows https://doi.org/10.1080/17538947.2019.1626921
  • de Paula, MD; Gimenez, MG; Niamir, A; Thurner, M; Hickler, T (2020). Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables https://doi.org/10.1080/17538947.2019.1597187
  • Lehmann, A; Nativi, S; Mazzetti, P; Maso, J; Serral, I; Spengler, D; Niamir, A; McCallum, I; Lacroix, P; Patias, P; Rodila, D; Ray, N; Giuliani, G (2020). GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables https://doi.org/10.1080/17538947.2019.1585977

2019

  • Shahrokhabadi, MA; Neisy, A; Perracchione, E; Polato, M (2019). Learning with subsampled kernel-based methods: Environmental and financial applications https://doi.org/10.14658/pupj-drna-2019-1-3
  • Salzano, R; Salvatori, R; Valt, M; Giuliani, G; Chatenoux, B; Ioppi, L (2019). Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover https://doi.org/10.3390/geosciences9020097
  • de Miguel, AS; Bara, S; Aube, M; Cardiel, N; Tapia, CE; Zamorano, J; Gaston, KJ (2019). Evaluating Human Photoreceptoral Inputs from Night-Time Lights Using RGB Imaging Photometry https://doi.org/10.3390/jimaging5040049
  • Lausch, A; Baade, J; Bannehr, L; Borg, E; Bumberger, J; Chabrilliat, S; Dietrich, P; Gerighausen, H; Glasser, C; Hacker, JM; Haase, D; Jagdhuber, T; Jany, S; Jung, A; Karnieli, A; Kraemer, R; Makki, M; Mielke, C; Moller, M; Mollenhauer, H; Montzka, C; Pause, M; Rogass, C; Rozenstein, O; Schmullius, C; Schrodt, F; Schron, M; Schulz, K; Schutze, C; Schweitzer, C; Selsam, P; Skidmore, AK; Spengler, D; Thiel, C; Truckenbrodt, SC; Vohland, M; Wagner, R; Weber, U; Werban, U; Wollschlager, U; Zacharias, S; Schaepman, ME (2019. Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity-Part I: Soil Characteristics. https://doi.org/10.3390/rs11202356
  • Maso, J; Zabala, A; Serral, I; Pons, X (2019). A Portal Offering Standard Visualization and Analysis on top of an Open Data Cube for Sub-National Regions: The Catalan Data Cube Example https://doi.org/10.3390/data4030096
  • Levin, N; Kyba, CCM; Zhang, Q (2019). Remote Sensing of Night Lights-Beyond DMSP https://doi.org/10.3390/rs11121472
  • Ambrosone M., Giuliani G., Chatenoux B., Rodila D., Lacroix P. (2019). Definition of candidate Essential Variables for the monitoring of mineral resources exploitation, Geo-spatial Information Science
    https://www.tandfonline.com/doi/full/10.1080/10095020.2019.1635318
  • Dantas de Paula, M., Gómez-Giménez, M., Niamir, A., Thurner, M., Hickler, T., (2019). The Potential of European earth observation products for driving and evaluating processed-based ecosystem models. International Journal of Digital Earth. https://doi.org/10.1016/j.scitotenv.2019.02.150
  • Espinosa M.T., Giuliani G., Ray N. (2019). Reviewing the discoverability and accessibility to data and information products linked to Essential Climate Variables, International Journal of Digital Earth
    https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1620882
  • Fabio Michele Rana, Maria Adamo, Richard Lucas, Palma Blonda, Sea surface wind retrieval in coastal areas by means of Sentinel-1 and numerical weather prediction model data, Remote Sensing of Environment, Volume 225, (2019), Pages 379-391, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2019.03.019
  • 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
  • Gómez-Giménez, M., Dantas de Paula, M., Niamir, A., and Hickler, T. “Process-Based Models and the Copernicus Programme Contribute to Monitoring Essential Biodiversity Variables and Ecosystem Function” in proceedings of Living Planet Symposium, 13-17 May 2019, Milan, Italy.
  • Hyde, Emilee; Kyba, Christopher (2019). Analysis boundaries and lighting trends (2012-2018) for selected International Dark Sky Places. V. 1.0. GFZ Data Services. http://doi.org/10.5880/GFZ.1.4.2019.002
  • Jechow A., Hölker F., Kyba C., Using all-sky differential photometry to investigate how nocturnal clouds darken the night sky in rural areas, Scientific Reports 9, Article number: 1391 (2019). https://www.nature.com/articles/s41598-018-37817-8.
  • Jechow A., Kyba C.C.M., Hölker F., (2019). Beyond All-Sky: Assessing Ecological Light Pollution Using Multi-Spectral Full-Sphere Fisheye Lens Imaging.
    doi.org/10.3390/jimaging5040046
  • KolotiI, A., Shelestov, A., Borisova, T., Turos, O., Milinevsky, G., Gomilko, I., Bulanaya, T., Fedorov, O., Pidgorodetska, L., Kolos, L., Borysov, A., Pozdnyakova, N., Chunikhin, A., Dudarenko, M., Petrosian, A., Danylevsky, V., Miatselskaya, N., Choliy, V., (2019). Essential Variables on Air Quality Estimation within ERA-PLANET Project. International Journal of Digital Earth https://doi.org/10.1080/17538947.2019.1620881
  • Kabisch, N., Selsam, P., Kirsten, T., Lausch, A., Bumbergerg, J., A multi-sensor and multi-temporal remote sensing approach to detect land cover change dynamics in heterogeneous urban landscapes, Elsevier Ecological Indicators, Volume 99, April 2019, Pages 273-282, https://doi.org/10.1016/j.ecolind.2018.12.033
  • N. Kussul, M. Lavreniuk, L. Shumilo and A. Kolotii, “Nexus Approach for Calculating SDG Indicator 2.4.1 Using Remote Sensing and Biophysical Modeling,” IGARSS 2019 – 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 6425-6428,  https://doi.org/10.1109/IGARSS.2019.8898549
  • Kyba C., Giuliani G. Franziskakis F., Tockner T., Lacroix P. (2019). Artisanal and small-scale mining sites in the Democratic Republic of the Congo are not associated with nighttime light emissions, J2(2):152-16 https://doi.org/10.3390/rs13040736
  • Kyba C., Spitschan M, Comment on ‘Domestic light at night and breast cancer risk: a perspective analysis of 105000 UK women in the Generations Study’, British Journal of Cancer, 120, 276-277 (2019), https://www.nature.com/articles/s41416-018-0203-x.
  • Lacroix P., Moser F., Benvenuti A., Piller T., Jensen D., Petersen I., Planque M., Ray N.,m (2019). MapX: an open geospatial platform to manage, analyse and visualise data on natural resources and the environment, SoftwareX 9: 77-84 https://doi.org/10.1016/j.softx.2019.01.002
  • Lavreniuk, M., Kussul, N., Kolotii, A., Skakun, S., Rakoid, O., Shumilo, L., (2019). A workflow for Sustainable Development Goals Indicators Assessment Based on High Resolution Satellite Data, International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1610807
  • * Masó, J., Serral, I., Domingo-Marimon, C. and Zabala, A., (2019). Earth observations for sustainable development goals monitoring based on essential variables and driver-pressure-state-impact-response indicators, International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1576787
  •  McCallum, I., Fritz, S., Kollet, S., Kolotii, A., Kussul, N., Lavreniuk, M., Lehmann, A., Maso, J., Montzka, C., Mosnier, A., Perracchione, E., Putti, M., Serral, I., Shumilo, L., Spengler, D., Santoro, M., Mazzetti, P., (2019). Addressing the food water energy nexus with Earth observation International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1626921
  • Miranda Espinosa, M.T., Giuliani, G., Ray, N., (2019). Essential Climate Variables: Reviewing the accessibility to data and information product. International Journal of Digital Earth. https://doi.org/10.3389/fenvs.2019.00023
  • Moomen A., Bertolotto M., Lacroix P., Jensen D.(2019). Exploring Spatial Symbiosis of Agriculture and Mining for Sustainable Development in Northwest Ghana. IEEE 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics).  Istanbul, Turkey, 1:6 https://doi.org/10.1109/Agro-Geoinformatics.2019.8820500
  • Moomen A., Jensen D., Lacroix P., Bertolotto M. (2019). Assessing the Policy Adoption and Impact of Geoinformation for enhancing Sustainable Mining in Africa. Journal of Cleaner Production, 241:118361 https://doi.org/10.1016/j.jclepro.2019.118361
  • Moomen A., Bertolotto M., Lacroix P., Jensen D.Inadequate Adaptation of Geospatial Information for Sustainable Mining towards Agenda 2030 Sustainable Development Goals. (2019). Journal of Cleaner Production, 238:11795 https://doi.org/10.1016/j.jclepro.2019.117954
  • Nativi, S., Santoro, M., Giuliani, G., Mazzetti, P., (2019). Towards a GEOSS Knowledge Base. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2018.1559367
  • Nativi S., Santoro S., Giuliani G., Mazzetti P. (2019) Towards a knowledge base to support global change policy goals, International Journal of Digital Earth https://www.tandfonline.com/doi/full/10.1080/17538947.2018.1559367
  • Naz, B.S., Kurtz, W., Montzka, C., Sharples, W., Goergen, K., Keune, J., Gao, H., Springer, A., Franssen, H.J.H., Kollet, S., (2019). Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation. Hydrol. Earth Syst. Sci. 23(1), 277-301. https://doi.org/10.5194/hess-23-277-2019
  • Noam Levin, Christopher C.M. Kyba, Qingling Zhang, Alejandro Sánchez de Miguel, Miguel O. Román, Xi Li, Boris A. Portnov, Andrew L. Molthan, Andreas Jechow, Steven D. Miller, Zhuosen Wang,
    Ranjay M. Shrestha, Christopher D. Elvidge (2019). Remote sensing of night lights: A review and an outlook for the future
    https://doi.org/10.1016/j.rse.2019.111443
  • Plag, H.P., Jules-Plag, S., (2019). A Goal-Based Approach to the Identification of Essential Transformation Variables in Support of the Implementation of the 2030 Agenda for Sustainable Development. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2018.1561761
  •  Ranchin, T., Trolliet, M., Ménard, L., Wald, L., (2019). Which variables are essential for renewable energies? International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1679267
  • 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.
  • Sánchez de Miguel A., Kyba C., Aubé M., Zamorano J., Cardiel N., Tapia C., Bennie J., Gaston K., Colour remote sensing of the impact of artificial light at night (I): The potential of the International Space Station and other DSLR-based platforms, Remote Sensing of Environment, V 224, April 2019, pp. 92-103, https://doi.org/10.1016/j.rse.2019.01.035.
  • Tassopoulou M., Patias P., Georgoula O., Fragkoulidou V., Use of Satellite Imagery to Compute Essential Variables and SDG Indicators for Monitoring Compliance to Environmental Legislation. A Workflow for Lefkas’ Lagoon, Greece,  poster presentation on the Living Planet Symposium 2019 (13-17 May 2019, Milan, Italy), https://lps19.esa.int/NikalWebsitePortal/living-planet-symposium-2019/lps19/Agenda/AgendaItemDetail?id=9963f680-bc10-402f-9c07-aac53ce502ae
  • Tassopoulou M., Verde N., Mallinis G., Georgiadis Ch., Kaimaris D., Patias P., Demonstrating the potential of remote sensing to support sustainable development goals implementation: Case studies over Greece, 7th International Conference on Remote Sensing and Geoinformation of Environment (18-21 March, 2019 – Cyprus) https://doi.org/10.1117/12.2533634
  • Verde N., Chrysafis I., Mallinis G., Korakis G., Georgiadis Ch., Patias P., Forest species mapping in a mountainous region using Sentinel-2 time-series and an object-based dynamic time warping technique, poster presentation on the Living Planet Symposium 2019 (13-17 May 2019, Milan, Italy)
  • Patias, P., Verde, N., Tassopoulou, M., Georgiadis, C., & Kaimaris, D. (2019, June). Essential variables: describing the context, progress, and opportunities for the remote sensing community. In Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019) (Vol. 11174, p. 111740C). International Society for Optics and Photonics. https://doi.org/10.1117/12.2533604

2018

  • Vianello, M (2018). Subperiodic Dubiner distance, norming meshes and trigonometric polynomial optimization https://doi.org/10.1007/s11590-018-1250-1
  • Sommariva, A; Vianello, M(2018). DISCRETE NORMING INEQUALITIES ON SECTIONS OF SPHERE, BALL AND TORUS
  • Piazzon, F; Vianello, M(2018). Stability inequalities for Lebesgue constants via Markov-like inequalities https://doi.org/10.14658/pupj-drna-2018-1-1
  • Vianello, M(2018). Global polynomial optimization by norming sets on sphere and torus
  • Atibu E., Lacroix P., Sivalingam P., Ray N., Giuliani G., Mulaji C., Otamonga J.P., Mpiana P., Slaveykova V., Poté J. (2018). High contamination in the areas surrounding abandoned mines and mining activities: an impact assessment of the Dilala, Luilu and Mpingiri rivers, Democratic Republic of the Congo, Chemosphere 191 1008:1020 doi.org/10.1016/j.chemosphere.2017.10.052
  • Bowler, D., Bjorkmann, A., Dornelas, M., Myers-Smith, I., Navarro, L., Niamir, A., Supp, S., Waldock, C., Vellend, M., Blowes, S. and Boehning-Gaese, K., (2018). The geography of the Anthropocene differs between the land and the sea. bioRxiv, p.432880. https://doi.org/10.1101/432880
  • Coesfeld J., Anderson S., Baugh K., Elvidge C., Schernthanner H., and Kyba C., Variation of Individual Location Radiance in VIIRS DNB Monthly Composite Images, Remote Sens. (2018), 10(12), 1964;  https://doi:10.3390/rs10121964.
  • Grubisic, M., van Grunsven, R.H.A., Kyba, C.C.M., Manfrin, A., Holker, F., (2018). Insect declines and agroecosystems: does light pollution matter? Ann. Appl. Biol. 173(2), 180-189. https://doi.org/10.1111/aab.12440
  • Hof, C., Voskamp, A., Biber, M.F., Böhning-Gaese, K., Engelhardt, E.K., Niamir, A., Willis, S.G. and Hickler, T., (2018). Bioenergy cropland expansion may offset positive effects of climate change mitigation for global vertebrate diversity. Proceedings of the National Academy of Sciences, 115(52), pp.13294-13299. https://doi.org/10.1073/pnas.1807745115
  • 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. ISPRS Int. Geo-Inf. 7(12), 13. https://doi.org/10.3390/ijgi7120455
  • Kolotii A., Kussul N., Lavreniuk M., Yailymov B., Rakoid O., Kolmaz Y., Land degradation assessment in Ukraine within ERA-PLANET Geo-Essential project, Earth observation for sustainable development and security: Materials of reports of the 6th Ukrainian Conference GEO-UA, (2018). http://edx.ikd.kiev.ua:8080/xmlui/handle/123456789/185.
  • Kussul N., Lavreniuk M., Sumilo L., Kolotii A., Rakoid O., Yailymov B., … and Vasiliev V., Assessment of Sustainable Development Goals Achieving with Use of NEXUS Approach in the Framework of GEOEssential ERA-PLANET Project, In XVIII International Conference on Data Science and Intelligent Analysis of Information, pp. 146-155, Springer, Cham, (2018). https://link.springer.com/chapter/10.1007/978-3-319-97885-7_15.
  • Kyba, C.C.M., 2018. Is light pollution getting better or worse? Nat. Astron. 2(4), 267-269. https://doi.org/10.1038/s41550-018-0402-7
  • Lausch, A., Bastian, O., Klotz, S., Leitao, P.J., Jung, A., Rocchini, D., Schaepman, M.E., Skidmore, A.K., Tischendorf, L., Knapp, S., 2018a. Understanding and assessing vegetation health by in situ species and remote-sensing approaches. Methods Ecol. Evol. 9(8), 1799-1809. https://doi.org/10.1111/2041-210X.13025
  • Lausch, A., Borg, E., Bumberger, J., Dietrich, P., Heurich, M., Huth, A., Jung, A., Klenke, R., Knapp, S., Mollenhauer, H., Paasche, H., Paulheim, H., Pause, M., Schweitzer, C., Schmulius, C., Settele, J., Skidmore, A.K., Wegmann, M., Zacharias, S., Kirsten, T., Schaepman, M.E., 2018b. Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sens. 10(7), 52. https://doi.org/10.3390/rs10071120
  • Lavreniuk M., Kussul N., Novikov A., Deep Learning Crop Classification Approach Based on Sparse Coding of Time Series of Satellite Data, IGARSS 2018, 4812-4815, (2018). https://ieeexplore.ieee.org/abstract/document/8518263.
  • Lavreniuk M., Kussul N., Novikov A., Deep Learning Crop Classification Approach Based on Coding Input Satellite Data Into the Unified Hyperspace, 38th International Conference on Electronics and Nanotechnology (ELNANO), 239-244, (2018). https://ieeexplore.ieee.org/document/8477525.
  • Lavreniuk M., Kussul N., Shelestov A., Dubovyk O., Löw F. Object-Based Postprocessing Method for Crop Classification Maps, IGARSS 2018, 7058-7061, 2018. https://ieeexplore.ieee.org/abstract/document/8519199.
  • Lehmann A., Nativi S., Mazzetti P., Maso J., Serral I., Spengler D., Niamir A., McCallum I., Lacroix P., Patias P., Rodila D., Ray N., Giuliani G., GEOEssential – Mainstreaming workflows from Essential Variables to Environment Policy Indicators, Accepted by International Journal of Digital Earth. https://doi.org/10.1080/17538947.2019.1585977
  • Lorenz, C., Montzka, C., Jagdhuber, T., Laux, P., Kunstmann, H., (2018). Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data. Remote Sens. 10(11), 26. https://doi.org/10.3390/rs10111842
  • Niamir, A., Skidmore, A.K., Muñoz, A.R., Toxopeus, A.G. and Real, R., (2018). Incorporating knowledge uncertainty into species distribution modelling. Biodiversity and conservation, pp.1-18. https://doi.org/10.1007/s10531-018-1675-y
  • Shumilo L., Kussul N., Lavreniuk M., Kolotii A., National Ukrainian cloud-based service for automatic crop classification within GEOESSENTIAL project, Earth observation for sustainable development and security: Materials of reports of the 6th Ukrainian Conference GEO-UA, (2018). http://edx.ikd.kiev.ua:8080/xmlui/handle/123456789/192.
  • Shumilo L., Kolotii A., Lavreniuk M., Yailymov B. Use of land cover maps as indicators for achieving sustainable development goals, IGARSS 2018, 830-833. https://ieeexplore.ieee.org/abstract/document/8519141.
  • Shumilo L., Kussul N., Lavreniuk M., Kolotii A., Methodology for Sustainable Development Goal indicators calculation with Vlab implementation, Earth observation for sustainable development and security: Materials of reports of the 6th Ukrainian Conference GEO-UA, (2018). http://edx.ikd.kiev.ua:8080/xmlui/handle/123456789/186.
  • Tucker, M.A., Böhning-Gaese, K., Fagan, W.F., Fryxell, J.M., Van Moorter, B., Alberts, S.C., Ali, A.H., Allen, A.M., Attias, N., Avgar, T. and Bartlam-Brooks, H., (2018). Moving in the Anthropocene: Global reductions in terrestrial mammalian movements. Science, 359(6374), pp.466-469. https://doi.org/10.1126/science.aam9712
  • Tassopoulou M., Patias P., Mapping the environmental legislation. The case study of the Western Coastal area of Thessaloniki, 15th National Conference of Cartography “The Cartography of Crises”, 31/10-2/11/2018, Thessaloniki, ISBN 978-960-88380-8-6, pp.431-448 (paper in Greek)

2017