Università degli Studi di Napoli Federico II - DICEA
Accurate information on surface soil moisture (SSM) content at a global scale under different climatic conditions is important for hydrological and climatological applications. Machine-learning-based systematic integration of in situ hydrological…
Code for the application of the SMAR model (Manfreda et al., 2014) and its calibration when root-zone soil moisture data are available for parameter calibration. Available on Zenodo References Manfreda,…
The study centered on the comprehensive assessment of satellite-based microwave soil moisture (SM) products across Europe, taking into account crucial variables including geographical diversity, climate dynamics, and land cover variations.…
This chapter presents a general outlook of innovative monitoring of rivers. Special attention is given to river flow monitoring through remote sensing images. Because of the relatively low costs and…
Seven of the accomplished authors who have made significant contributions to our latest Book on Unmanned Aerial Systems (https://lnkd.in/d67imFHS) have achieved a remarkable milestone in 2023 by being recognized as…
The book, “Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environment”, provides a comprehensive exploration of the applications, technologies, and methodologies related to the use of unmanned aerial systems…