[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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
physical properties (grain size, mineralogy and carbonate content) across space has not …