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Presentation
On the use of UAV systems for in-situ validation of Sentinel 2 BRDF
Author
Date:
23.05.2022 ,
Time:
15:55
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Topic: Advance Future Technology for Earth Observation Missions
Details
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Presentation
Climate change effects assessment on central-Italy lakes surface temperature through satellite data time-series
Author
Date:
24.05.2022 ,
Time:
17:35
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Topic: Poster Session
Details
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Presentation
Auto-Associative Neural Networks for on-board change detection
Author
Date:
24.05.2022 ,
Time:
18:11
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Topic: Poster Session
Details
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Presentation
The PRIMARY project for the generation of air quality products using PRISMA data
Speaker
Date:
25.05.2022 ,
Time:
14:30
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Topic: Advance Future Technology for Earth Observation Missions
Details
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Presentation
The outcomes of the ESA MULTI ACTOR FOREST INFORMATION SERVICE (MAFIS) project about the application of L-band SAR, Sentinel-2 and LiDAR data in retrieving Above Ground Biomass by means of a Random Forest approach
Author
Date:
26.05.2022 ,
Time:
17:29
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Topic: Poster Session
Details
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Presentation
A Physics-based ML approach for soil moisture estimation with simulated SAR data
Author
Date:
26.05.2022 ,
Time:
18:15
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Topic: Poster Session
Details
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Presentation
Sentinel-3/SLSTR image classification using Neural Networks with a focus on Volcanic Cloud Detection
Author
Date:
27.05.2022 ,
Time:
09:15
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Topic: Empower the Green Transition
Details
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Presentation
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and Neural Networks
Author
Date:
27.05.2022 ,
Time:
12:34
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Topic: Poster Session
Details
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Presentation
Ecosystem Services and Urban Forest and Green areas monitoring in the framework of the ESA Multiple Actors Forest Information System – MAFIS project.
Author
Date:
27.05.2022 ,
Time:
13:20
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Topic: Poster Session
Details
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Presentation
InnEO'Space PhD: Preparing Young Researchers for a successful career on Earth Observation applications
Author
Date:
27.05.2022 ,
Time:
13:24
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Topic: Poster Session
Details
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Presentation
A combination of Radiative Transfer Model simulation and Neural Network modeling for the retrieval of volcanic ash parameters by means of Copernicus Sentinel-3/SLSTR data.
Author
Date:
27.05.2022 ,
Time:
13:33
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Topic: Poster Session
Details