Daniele De Vecchi

Orcid: 0000-0001-8600-7657

According to our database1, Daniele De Vecchi authored at least 11 papers between 2014 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2018
Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Potentials of Active and Passive Geospatial Crowdsourcing in Complementing Sentinel Data and Supporting Copernicus Service Portfolio.
Proc. IEEE, 2017

CLOOPSy - Copernicus Land cOver crOwdsourcing Platform for Sentinel-based mapping.
J. Open Source Softw., 2017

2015
A feature-based approach to register CBERS CCD and HRC imagery for built-up area extraction purposes.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Automatic hybrid-based built-up area extraction from Landsat 5, 7, and 8 data sets.
Proceedings of the Joint Urban Remote Sensing Event, 2015

A PCA-based hybrid approach for built-up area extraction from Landsat 5, 7 and 8 datasets.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Unsupervised change detection for urban expansion monitoring: An object-based approach.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Automatic clouds/shadows extraction method from CBERS-2 CCD and LANDSAT data.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A small step towards the citizen sensor: A multi-purpose framework for mobile apps.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
A case study on fusion of seismic damage information from space-borne and ground-based imaging of L'Aquila, 2009 earthquake.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Multi-risk buildings exposure and physical vulnerability mapping from optical satellite images: Developing an integrated toolset.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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