David Marzi and Paolo Gamba have just published a new paper, entitled "Inland Water Body Mapping Using Multitemporal Sentinel-1 SAR Data", in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).

This work addresses the importance of water bodies monitoring and mapping using SAR satellite data in the context of climate change studies. Indeed, analyzing changes over time of this precious land cover type in terms of extent and/or transition towards other classes, is essential for the characterization of climate and, thus, for the whole climate change community.

By leveraging the astonishing computational power of Google EarthEngine, we developed a fully automated system exploiting Sentinel-1 aimed at analyzing wide geographical areas located anywhere in the World. It generates high-resolution water bodies maps by applying a totally unsupervised approach to sequences of Sentinel-1 SAR data in just a matter of minutes.

The journal is 100% open access, which means that the whole article content is freely available and downloadable at this link

During an event on October at the Italian Pavillon at  Expo2020Dubai, researchers from the University of Pavia, Napoli Parthenope and CNR-IREA presented cutting edge EarthObservation technologies based on radar and multi- and hyperspectral sensors. Among these, methodologies aimed at recognizing the presence, type and abundance of particular construction materials were presented: https://lnkd.in/eGQxH2Mn

This web app was developed by David Marzi from our lab using GoogleEarthEngine, you will be able to see color composites, investigate abundance maps of the main construction materials that are used in the urban area of Dubai (e.g., concrete and metals) and inspect some interesting vegetation indices (e.g., NDVI and #EVI), just by clicking on the different layers in the interactive panel. Finally, if you click wherever you like in the City, you will be able to see in real time the spectral signature of the clicked location, generated based on the hyperspectral data from the Italian mission PRISMA.

Give it a try, and enjoy the spectral exploration of Dubai ;-)

Anna Vizziello has been nominated as TPC chair for the nest editon of the conference NanoCom 2922 which will be held at the Universita Politecnica de Catalunya, Barcelona, Spain.



Down to Earth, season 2 episode 1: https://www.podbean.com/ew/pb-6ceub-110bf07

From its rudimentary emergence in the 50s, to the more recent development of deep learning, machine learning been an complete game changer when it comes to being able to quickly interpret and act on remote sensing data.

In this podcast, Prof. Paolo Gamba is interviewed, together with Prof. Jón Atli Benediktsson and Dr. Naoto Yokoya, to trace the evolution of machine learning in earth observation and how it has permanently shifted the earth observation landscape.

The paper entitled "Electromyography Data Transmission via Galvanic Coupling Intra-body Communication Link,", recently presented at 8th ACM International Conference on Nanoscale Computing and Communication (NanoCom 2021), received the best paper award recognition