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Posters

Best poster awards

Margherita ROCCHETTI
CNR-IRPI, Italy
Combined use of multitemporal optical and SAR Sentinel images for landslide detection. A test case in Chile: The Villa Santa Lucia landslide
Kazi Rifat AHMED
University of Zurich, Switzerland
Towards advanced estimates of global ecosystem transpiration: Insights from current and upcoming Earth Observation data
Davor KORMAN
Oikon Ltd, Croatia
A multitemporal and open source approach for processing and modelling Big Satellite Data

 

Christin ABEL
University of Copenhagen, Denmark
Improved land degradation framework in drylands
Eatidal AMIN
University of Valencia, Spain
The SENSAGRI Sentinel-2 LAI green/brown product: algorithm development, validation and mapping
Ana ANDREU
University of California, Berkeley, USA / IFAPA, Cordoba, Spain
Where is the reservoirs water coming from? At Tonzi and Vaira Fluxnet core sites (California)
Kwame Tweneboa AWUAH
Edge Hill University, United Kingdom
Spatial resolution and landscape structure along an urban-rural gradient: Do they relate to remote sensing classification accuracy? - A case study in the megacity of Bengaluru, India
Josie BAULCH
University of Southampton, United Kingdom
Hydrological propagation of ENSO impacts on drought hazard risk across sub-Saharan Africa
Aleksandar Zeljko BAUMGERTEL
University of Belgrade, Serbia
Spatial assessment of soil erosion by wind and agroforestry practices using remote sensed data
Saheba BHATNAGAR
Trinity College, University of Dublin, Ireland
Monitoring environmental supporting conditions of a raised bog using remote sensing techniques
Konstantina BIKA
University of Leicester, United Kingdom
Examination of the interferometric C-band coherence over fire disturbed areas in southern Siberia
Julien BRIANT
SERTIT-ICube, France
Water resource monitoring exploiting Sentinel-2 and Sentinel-2 like time series. Application in Yangtze river water bodies
Irene CHRYSAFIS
Democritus University of Thrace, Greece
Evaluation of single date and multi-seasonal spatial and spectral information of Sentinel-2 imagery for growning stock volume of Mediterranean forest
Ruusa-Magano DAVID
Durham University, United Kingdom
Land transition and climate change: patterns, drivers and vulnerability of rangeland vegetation in Southern Africa
Charlotte DE GRAVE
University of Valencia, Spain
Development of robust models for the estimation of vegetation properties in the framework of the FLEX/Sentinel-3 tandem mission
Bos DEBUSSCHER
Ghent University, Belgium
Effect of motion blurs in Unmanned Aerial Vehicle imagery on biomass estimations
Maria Angela DISSEGNA
Singapore ETH Center / ETH Zurich, Singapore / Switzerland
Quantifying the effect of vegetation in the radiative budget of a megacity
Jessica ESTEBAN
Technical University of Madrid, Spain
CO2 stored in the forests of Bizkaia in real time with remote sensors (LiDAR and satellite)
Karen FRAKE
Scottish Natural Heritage, United Kingdom
Application of Sentinel imagery in mapping severity of a hill fire on Rum
Arnau GARCIA
McDonald Institute for Archaeological Research, United Kingdom
Applications of multi-temporal data and cloud computing for the study of past settlement and landscape dynamics in the Punjab region
Laura GARCIA VELEZ
World Wildlife Fund, United Kingdom
Using satellite remote sensing to establish the environmental accountability of mining companies operating in Protected Areas (PAs)
Massimiliano GARGIULO
University of Naples Federico II, Italy
A deep learning approach for super resolution of Sentinel 2 bands
Helene Wanjiru GICHENJE
University of Évora, Portugal
A spatially explicit methodology for operationalising the land degradation neutrality (LDN) target at the national scale
Wanda Sylvia GRAF
University of Göttingen, Germany
Remote sensing time series in context of forest diversity assessment
Andrew GRAY
NERC Field Spectroscopy Facility (FSF), United Kingdom
Snow Algae - The largest terrestrial photosynthetic ecosytem in Antarctica?
Jenny HANAFIN
ICHEC, National University of Ireland, Galway, Ireland
SPÉir: Satellite Platform for Éire
Johannes Niklas HANSEN
University of Edinburgh, United Kingdom
Change detection in spatiotemporal SAR data for deforestation monitoring
Stephen Jesse HAYWARD
Airbus Defence and Space, United Kingdom
Training a segmentation algorithm to behave like an image interpreter
Emanuel HECHT
German Aerospace Center (DLR), Germany
Soil moisture estimation under vegetation cover with Pol-In-SAR data
Vrinda KRISHNAKUMAR
Centre Tecnòlogic de Telecomunicacions de Catalunya, Spain
Terrain deformation monitoring and atmospheric phase screen estimation using Sentinel data
Mykola LAVRENIUK
Space Research Institute, NAS Ukraine, Ukraine
Assessment of Sustainable Development Goals for Ukraine using NEXUS approach
Martha LEDGER
University of Nottingham, United Kingdom
Determining regional-scale carbon losses from tropical peatlands using InSAR
Maral MALEKI
University of Antwerp, Belgium
Predicting the ecosystem phenological metrics based on Sentinel-2 satellite data with new vegetation indices
Carmen-Alexandra MARCU
USAMV Bucharest, Romania
Mapping of soil moisture derived from SMOS data over the South region of Romania
Ionela-Casiana MARCU
Gheorghe Asachi Technical University of Iasi, Romania
Tree species classification in Romania using RapidEye and LiDAR data
Rena MEYER
University of Copenhagen, Denmark
Using Sentinel data to support hydrological modelling in data scarce regions
Adam MICHALSKI
Wroclaw University of Environmental and Life Sciences, Poland
UAS in crop research monitoring
Sirio MODUGNO
World Food Programme, Italy
Land degradation analysis by global approach for humanitarian support
Chris MOORE
University of Leeds, United Kingdom
Sentinel-1 InSAR observations of the ongoing January 2017 eruption of Erta ‘Ale Volcano, Afar, Ethiopia
Marco MULAS
University of Modena and Reggio Emilia, Italy
Large landslide monitoring based on Sentinel-2 derived displacement maps
Esmee Loraine MULDER
TU Delft, Netherlands
Grassland dynamics and their relation to Maasai grazing patterns in Longido District, Tanzania
James Mumina MUTHOKA
University of Sussex, United Kingdom
A web-based rangeland assessment and monitoring tool for arid and semi-arid regions of Kenya.  
Mercy Wanjiru MWANIKI
Jomo Kenyatta University of Agriculture and Technology, Kenya
Lake Victoria GIS-based flood risk and impact mapping
Zhour NAJOUI
VisioTerra, France
Automatic detection of marine oil slicks using SAR images: environmental and petroleum applications
Marc Aaron NELSON
Metria AB, Sweden
Analysing the performance of multitemportal Sentinel-2 imagery for mapping forests in Sweden and integration with machine learning algorithms
Nathalie NEPTUNE
IRIT / Paul Sabatier University, France
Automatic deforestation detection with deep learning: the case of Masoala National Park
Lucie ORLIKOVA
Technical University of Ostrava, Czech Republic
Remote sensing for evaluation of state and development of spruce stands condition
Ana Maria PACHECO PASCAGAZA
University of Leicester, United Kingdom
Multi-temporal and multi-frequency analysis from C-Band and L-Band to assess forest degradation
Diego PERUCHI TREVISAN
Federal University of São Carlos, Brazil
Evaluation of land use effects in natural landscape in São Carlos-SP, Brazil.
Maxwell Rhodri PHILLIPS
Airbus Defence and Space, United Kingdom
A comparison of TerraSAR-X and Sentinel-1 SAR for flood mapping applications: A case study of the Northern France floods, 22/01/2018
Gerard PORTAL
Polytechnic University of Catalonia, Spain
Data fusion for global mapping of soil moisture at high resolution
Tom Luke POTTER
University of Leicester, United Kingdom
Mobile laser scanning in forests: Mapping beneath the canopy
Maryam POURSHAMSI
University of Leicester, United Kingdom
Machine-learning fusion of PolSAR and Lidar data for tropical forest canopy height estimation
Louise Elizabeth RAYNE
University of Leicester, United Kingdom
Mapping damage and destruction to archaeological sites in the Middle East and North Africa
Ciaran ROBB
Aberyswyth University, United Kingdom
Geographic data and earth observation for monitoring (GEOM) in Wales
Ellie May ROBERTSON
Airbus Defence and Space, United Kingdom
Vehicle detection from very high resolution imagery using eCognition’s deep learning tool set
Sabina Lucia ROSCA
Wageningen University and Research, Netherlands
Large scale forest change monitoring using time-series satellite data
Marius RÜETSCHI
Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland
Rapid assessment of windthrow using Sentinel-1 C-band SAR data
Sergio SANCHEZ-PRIETO
University of Castilla La Mancha, Spain
Water management and nutrients efficiency in Fatima H2020 project
Liza STANCIC
ZRC SAZU, Slovenia
Spectral unmixing analysis for gravel bar detection in fluvial ecosystems
Vivien Georgiana STEFAN
isardSAT S.L., Spain
A comparison study between MODIS and Sentinel-3 land surface temperature in deriving high resolution soil moisture estimates for desert locust management
Asimina SYRIOU
Satellite Applications Catapult, United Kingdom
Building Climate and Disaster Risk Resilience in small island developing nations using open source Earth Observation data
Letty TEN HARKEL
University of Oxford, United Kingdom
St Catherine’s Monastery, Sinai: a view from above
Pawel TYSIAC
Gdansk University of Technology, Poland
Detection and monitoring of watercourses in forest areas using Airborne Laser Scanning
Orsolya VARGA
Envirosense Hungary Ltd / University of Debrecen, Hungary
Usage of Sentinel-2 data for management zone analysis
Natalia VERDE
Aristotle University of Thessaloniki, Greece
Impact of radiometric resolution on the accuracy of satellite image classification
Gladys VILLEGAS
Ghent University, Belgium
Mapping agroforestry systems from satellite images
Julia WAGNER
Stockholm University, Sweden
Mapping of permafrost landforms and soils
Anders U. WALDELAND
Norwegian Computing Center, Norway
Avalanche detection in sar images using deep learning
Dylan WALSHE
University of Limerick, Ireland
Integration of spatial Big Data for improved long-term forest resource planning
Karolina WRÓBEL
Institute of Geodesy and Cartography, Poland
Multi-source data based system for assessment of the overwintering of crops - pilot study for insurance company in Poland

 


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