[HTML][HTML] Transfer learning for soil spectroscopy based on convolutional neural networks and its application in soil clay content mapping using hyperspectral imagery

L Liu, M Ji, M Buchroithner - Sensors, 2018 - mdpi.com
Soil spectra are often measured in the laboratory, and there is an increasing number of large-
scale soil spectral libraries establishing across the world. However, calibration models …

[HTML][HTML] Application of lithological mapping based on advanced hyperspectral imager (AHSI) imagery onboard Gaofen-5 (GF-5) satellite

B Ye, S Tian, Q Cheng, Y Ge - Remote Sensing, 2020 - mdpi.com
The Advanced Hyperspectral Imager (AHSI), carried by the Gaofen-5 (GF-5) satellite, is the
first hyperspectral sensor that simultaneously offers broad coverage and a broad spectrum …

[HTML][HTML] Exploring the dunes: The correlations between vegetation cover pattern and morphology for sediment retention assessment using airborne multisensor …

E Valentini, A Taramelli, S Cappucci, F Filipponi… - Remote Sensing, 2020 - mdpi.com
Coastal sand dunes are highly dynamic aeolian landforms where different spatial patterns
can be observed due to the complex interactions and relationships between landforms and …

[HTML][HTML] Characterizing the relationship between the sediment grain size and the shoreline variability defined from sentinel-2 derived shorelines

C Cabezas-Rabadán, JE Pardo-Pascual… - Remote Sensing, 2021 - mdpi.com
Sediment grain size is a fundamental parameter conditioning beach-face morphology and
shoreline changes. From remote sensing data, an efficient definition of the shoreline position …

[HTML][HTML] Global MODIS fraction of green vegetation cover for monitoring abrupt and gradual vegetation changes

F Filipponi, E Valentini, A Nguyen Xuan, CA Guerra… - Remote Sensing, 2018 - mdpi.com
The presence and distribution of green vegetation cover in the biosphere are of paramount
importance in investigating cause-effect phenomena at the land/atmosphere interface …

[HTML][HTML] An interaction methodology to collect and assess user-driven requirements to define potential opportunities of future hyperspectral imaging sentinel mission

A Taramelli, A Tornato, ML Magliozzi, S Mariani… - Remote Sensing, 2020 - mdpi.com
Evolution in the Copernicus Space Component is foreseen in the mid-2020s to meet priority
user needs not addressed by the existing infrastructure, and/or to reinforce existing services …

[HTML][HTML] Nearshore sandbar classification of Sabaudia (Italy) with LiDAR Data: the FHyL approach

A Taramelli, S Cappucci, E Valentini, L Rossi, I Lisi - Remote Sensing, 2020 - mdpi.com
An application of the FHyL (field spectral libraries, airborne hyperspectral images and
topographic LiDAR) method is presented. It is aimed to map and classify bedforms in …

Indications of dynamic effects on scaling relationships between channel sinuosity and vegetation patch size across a salt marsh platform

A Taramelli, E Valentini, L Cornacchia… - Journal of …, 2018 - Wiley Online Library
Salt marshes are important coastal areas that consist of a vegetated intertidal marsh platform
and a drainage network of tidal channels. How salt marshes and their drainage networks …

The Civitavecchia Coastal Environment Monitoring System (C-CEMS): a new tool to analyze the conflicts between coastal pressures and sensitivity areas

S Bonamano, V Piermattei, A Madonia… - Ocean …, 2016 - os.copernicus.org
The understanding of the coastal environment is fundamental for efficiently and effectively
facing the pollution phenomena as expected by the Marine Strategy Framework Directive …

[HTML][HTML] Characterisation of coastal sediment properties from spectral reflectance data

J Knight, MAM Abd Elbasit - Applied Sciences, 2022 - mdpi.com
Remote sensing of coastal sediments for the purpose of automated mapping of their
physical properties (grain size, mineralogy and carbonate content) across space has not …