Yady Tatiana Solano-Correa, PhD student at RSDE-FBK, got the Best Student Oral Presentation Award (link https://multitemp2017.vito.be/programme/student-award) at the 2017 IEEE International Workshop on the Analysis of Multitemporal Images (MultiTemp 2017) with the paper "Spatio-temporal Evolution of crop fields in Sentinel-2 Satell
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A PhD student position is available at RSDE: D4 - Satellite Image Time Series (SITS) analysis
- Closing date 31st of May 2017
- Duration: 3 years
- More information at: http://phd.fbk.eu/
A researcher position is now open on the following topics:
- Automatic information extraction from radargramms acquired by sub-surface sounding radars operated in planetary exploration missions
- Classification, segmentation and object detection in remote sensing images acquired by either optical passive sensors or active SAR systems
- Multi- and hyper-temporal images analysis.
Call closure date: May 4, 2017.
For further details click here.
RSDE unit is a partner of STRATUS (SaTellite Radar sounder for eArTh sUb-surface Sensing), a new satellite mission concept based on a radar sounder for Earth Observation, coordinated by RSLab group. STRATUS aims at studying for the first time from satellite the subsurface of the Earth. STRATUS main goals are the 3D monitoring at global scale of both icy areas (including Antartica, Artic and large glaciers) and desert areas. The project, funded by the Italian Space Agency, aims at studying and further developing the mission concept and the radar payload.
A Ph.D. position is open at RSDE in Remote Sensing image processing.
Ph.D. candidates should apply to the Information and Communication Technology Doctoral School of the University of Trento, Italy.
Select Area D (Curriculum 2: Telecommunications) and apply for Project Specific Grants D4.
Phase B2/C of JUICE-RIME has been funded.
RSDE unit and RSLab group are the Principal Investigator (Prime contractor) of a project funded by the European Space Agency (ESA) on the analysis of multitemporal images acquired by the ESA Sentinel 2 satellite constellation.
The project aims at defining the scientific methods and the related prototype algorithms for addressing three main challenges with the multispectral and multiresolution Sentinel 2 images:
1) change detection; 2) analysis of image time series; and 3) updating of land-cover maps.
The CRYOMON-SciPro Interregional Project Network (IPN) on cryosphere science has been funded.