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Salvatore Manfreda
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2020 – today
- 2024
- [j16]Raffaele Albano
, Teodosio Lacava
How Can Seasonality Influence the Performance of Recent Microwave Satellite Soil Moisture Products? Remote. Sens. 16(16): 3044 (2024) - [c4]Vito Iacobellis
Advancing Sustainable Water Management in Southern Italy Through Integrated Hydrological Modeling and Earth Observation. ICCSA (Workshops 5) 2024: 217-229 - [c3]Khim Cathleen Saddi, Domenico Miglino, Francesco Isgrò, Tim van Emmerik, Salvatore Manfreda:
Balancing Accuracy and Efficiency for River Plastic Monitoring. IGARSS 2024: 3836-3840 - 2022
- [j15]Cinzia Albertini
Detection of Surface Water and Floods with Multispectral Satellites. Remote. Sens. 14(23): 6005 (2022) - [j14]Alonso Pizarro
VISION: VIdeo StabilisatION using automatic features selection for image velocimetry analysis in rivers. SoftwareX 19: 101173 (2022) - 2021
- [j13]Nicolas Francos
Mapping Water Infiltration Rate Using Ground and UAV Hyperspectral Data: A Case Study of Alento, Italy. Remote. Sens. 13(13): 2606 (2021) - [j12]Lijie Zhang, Yijian Zeng
In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model. Remote. Sens. 13(23): 4893 (2021) - [j11]Antonio Paruta
A Geostatistical Approach to Map Near-Surface Soil Moisture Through Hyperspatial Resolution Thermal Inertia. IEEE Trans. Geosci. Remote. Sens. 59(6): 5352-5369 (2021) - 2020
- [j10]Sophie Pearce
An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems. Remote. Sens. 12(2): 232 (2020) - [j9]Ruodan Zhuang
Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau. Remote. Sens. 12(3): 509 (2020) - [j8]Goran Tmusic
Current Practices in UAS-based Environmental Monitoring. Remote. Sens. 12(6): 1001 (2020) - [j7]Silvano F. Dal Sasso
Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers. Remote. Sens. 12(11): 1789 (2020)
2010 – 2019
- 2019
- [j6]Ricardo Tavares da Costa
A web application for hydrogeomorphic flood hazard mapping. Environ. Model. Softw. 118: 172-186 (2019) - [j5]Douglas Baldwin
Estimating Root Zone Soil Moisture Across the Eastern United States with Passive Microwave Satellite Data and a Simple Hydrologic Model. Remote. Sens. 11(17): 2013 (2019) - 2018
- [j4]Salvatore Manfreda
On the Use of Unmanned Aerial Systems for Environmental Monitoring. Remote. Sens. 10(4): 641 (2018) - [j3]Caterina Samela
A GIS tool for cost-effective delineation of flood-prone areas. Comput. Environ. Urban Syst. 70: 43-52 (2018) - 2017
- [j2]Raffaele Albano
MY SIRR: Minimalist agro-hYdrological model for Sustainable IRRigation management - Soil moisture and crop dynamics. SoftwareX 6: 107-117 (2017) - 2016
- [j1]Annarita D'Addabbo
A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data. IEEE Trans. Geosci. Remote. Sens. 54(6): 3612-3625 (2016) - 2015
- [c2]Alberto Refice
Towards high-precision flood mapping: Multi-temporal SAR/InSAR data, Bayesian inference, and hydrologic modeling. IGARSS 2015: 1381-1384 - 2014
- [c1]Anna Balenzano
A ground network for SAR-derived soil moisture product calibration, validation and exploitation in Southern Italy. IGARSS 2014: 3382-3385
Coauthor Index
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