Identification of pathogens in corn using near-infrared UAV imagery and deep learning

A Antolínez García, JW Cáceres Campana - Precision Agriculture, 2023 - Springer
Maize is the second most plentiful cereal grown for human consumption. It constitutes 36%
of total grain production worldwide and it is cultivated in about 160 countries on nearly 150 …

[HTML][HTML] Remote Sensing for Urban Biodiversity: A Review and Meta-Analysis

M Finizio, F Pontieri, C Bottaro, M Di Febbraro… - Remote Sensing, 2024 - mdpi.com
Urban settlements can support significant biodiversity and provide a wide range of
ecosystem services. Remote sensing (RS) offers valuable tools for monitoring and …

Community and impact based early warning system for flood risk preparedness: The experience of the Sirba River in Niger

V Tarchiani, G Massazza, M Rosso, M Tiepolo… - Sustainability, 2020 - mdpi.com
Floods have recently become a major hazard in West Africa (WA) in terms of both their
magnitude and frequency. They affect livelihoods, infrastructure and production systems …

Rainwater harvesting techniques as an adaptation strategy for flood mitigation

P Tamagnone, E Comino, M Rosso - Journal of Hydrology, 2020 - Elsevier
The development of adaptation and mitigation strategies to tackle anthropic and climate
changes impacts is becoming a priority in drought-prone areas. This study examines the …

[HTML][HTML] Land cover classification from very high-resolution UAS data for flood risk map**

E Belcore, M Piras, A Pezzoli - Sensors, 2022 - mdpi.com
Monitoring the world's areas that are more vulnerable to natural hazards has become crucial
worldwide. In order to reduce disaster risk, effective tools and relevant land cover (LC) data …

[HTML][HTML] Weed detection from unmanned aerial vehicle imagery using deep learning—a comparison between high-end and low-cost multispectral sensors

AT Seiche, L Wittstruck, T Jarmer - Sensors, 2024 - mdpi.com
In order to meet the increasing demand for crops under challenging climate conditions,
efficient and sustainable cultivation strategies are becoming essential in agriculture …

[HTML][HTML] Hydrological model application in the Sirba river: Early warning system and GloFAS improvements

G Passerotti, G Massazza, A Pezzoli, V Bigi, E Zsótér… - Water, 2020 - mdpi.com
In the last decades, the Sahelian area was hit by an increase of flood events, both in
frequency and in magnitude. In order to prevent damages, an early warning system (EWS) …

[HTML][HTML] Flood assessment for risk-informed planning along the Sirba river, Niger

M Tiepolo, M Rosso, G Massazza, E Belcore, S Issa… - Sustainability, 2019 - mdpi.com
South of the Sahara, flood vulnerability and risk assessments at local level rarely identify the
exposed areas according to the probability of flooding or the actions in place, or localize the …

[HTML][HTML] Method for fluvial and pluvial flood risk assessment in rural settlements

M Tiepolo, E Belcore, S Braccio, S Issa, G Massazza… - MethodsX, 2021 - Elsevier
Flood risk assessments in the Global South have increased since the adoption of the United
Nations Sendai Framework for Disaster Risk Reduction 2015–2030. However, they often fail …

[HTML][HTML] Participatory risk assessment of pluvial floods in four towns of Niger

M Tiepolo, S Braccio, E Fiorillo, A Galligari… - International Journal of …, 2023 - Elsevier
Abstract Intense rainfalls in Sub-Saharan Africa are increasing in frequency. Land
degradation, watercourses siltation, and flood defence failure turn these events into …