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Niamey, the capital of Niger, is particularly prone to floods, since it is on the banks of the Niger River, which in its middle basin has two flood peaks: one in summer (the red flood) and one in winter (the black flood). In 2020, the Niger River in Niamey reached its all-time highest levels following an abundant rainy season. On the other hand, the floods in Niamey have been particularly frequent in the last decade, a symptom of a change in hydroclimatic behaviour already observed since the end of the great droughts of the 1970s and 1980s and which is identified with the name of Sahelian Paradox. This study, starting from the analysis of the 2020 flood and from the update of the rating curve of the Niamey hydrometric station, analyses the rainfall–runoff relationship on the Sahelian basins of the Medium Niger River Basin (MNRB) that are at the origin of the local flood. The comparative analysis of runoffs, annual maximum flows (AMAX) and runoff coefficients with various rainfall indices calculated on gridded datasets allowed to hydroclimatically characterise the last decade as a different period from the wet one before the drought, the dry one and the post-drought one. Compared to the last one, the current period is characterised by a sustained increase in hydrological indicators (AMAX +27%) consistent with the increase in both the accumulation of precipitation (+11%) and the number (+51%) and magnitude (+54%) of extreme events in the MNRB. Furthermore, a greater concentration of rainfall and extremes (+78%) in August contributes to reinforcing the red flood’s positive anomalies (+2.23 st.dev in 2020). The study indicates that under these conditions the frequency of extreme hydrological events in Niamey will tend to increase further also because of the concurrence of drivers such as river-bed silting and levee effects. Consequently, the study concludes with the need for a comprehensive flood-risk assessment on the Niamey city that considers both recent hydroclimatic trends and urbanisation dynamics in flood zones hence defining the most appropriate risk-reduction strategies.
Giovanni Massazza; Maurizio Bacci; Luc Descroix; Mohamed Ibrahim; Edoardo Fiorillo; Gaptia Katiellou; Geremy Panthou; Alessandro Pezzoli; Maurizio Rosso; Elisa Sauzedde; Andrea Terenziani; Tiziana De Filippis; Leandro Rocchi; Sara Burrone; Maurizio Tiepolo; Théo Vischel; Vieri Tarchiani. Recent Changes in Hydroclimatic Patterns over Medium Niger River Basins at the Origin of the 2020 Flood in Niamey (Niger). Water 2021, 13, 1659 .
AMA StyleGiovanni Massazza, Maurizio Bacci, Luc Descroix, Mohamed Ibrahim, Edoardo Fiorillo, Gaptia Katiellou, Geremy Panthou, Alessandro Pezzoli, Maurizio Rosso, Elisa Sauzedde, Andrea Terenziani, Tiziana De Filippis, Leandro Rocchi, Sara Burrone, Maurizio Tiepolo, Théo Vischel, Vieri Tarchiani. Recent Changes in Hydroclimatic Patterns over Medium Niger River Basins at the Origin of the 2020 Flood in Niamey (Niger). Water. 2021; 13 (12):1659.
Chicago/Turabian StyleGiovanni Massazza; Maurizio Bacci; Luc Descroix; Mohamed Ibrahim; Edoardo Fiorillo; Gaptia Katiellou; Geremy Panthou; Alessandro Pezzoli; Maurizio Rosso; Elisa Sauzedde; Andrea Terenziani; Tiziana De Filippis; Leandro Rocchi; Sara Burrone; Maurizio Tiepolo; Théo Vischel; Vieri Tarchiani. 2021. "Recent Changes in Hydroclimatic Patterns over Medium Niger River Basins at the Origin of the 2020 Flood in Niamey (Niger)." Water 13, no. 12: 1659.
Remote sensing for precision agriculture has been strongly fostered by the launches of the European Space Agency Sentinel-2 optical imaging constellation, enabling both academic and private services for redirecting farmers towards a more productive and sustainable management of the agroecosystems. As well as the freely and open access policy adopted by the European Space Agency (ESA), software and tools are also available for data processing and deeper analysis. Nowadays, a bottleneck in this valuable chain is represented by the difficulty in shadow identification of Sentinel-2 data that, for precision agriculture applications, results in a tedious problem. To overcome the issue, we present a simplified tool, AgroShadow, to gain full advantage from Sentinel-2 products and solve the trade-off between omission errors of Sen2Cor (the algorithm used by the ESA) and commission errors of MAJA (the algorithm used by Centre National d’Etudes Spatiales/Deutsches Zentrum für Luft- und Raumfahrt, CNES/DLR). AgroShadow was tested and compared against Sen2Cor and MAJA in 33 Sentinel 2A-B scenes, covering the whole of 2020 and in 18 different scenarios of the whole Italian country at farming scale. AgroShadow returned the lowest error and the highest accuracy and F-score, while precision, recall, specificity, and false positive rates were always similar to the best scores which alternately were returned by Sen2Cor or MAJA.
Ramona Magno; Leandro Rocchi; Riccardo Dainelli; Alessandro Matese; Salvatore Di Gennaro; Chi-Farn Chen; Nguyen-Thanh Son; Piero Toscano. AgroShadow: A New Sentinel-2 Cloud Shadow Detection Tool for Precision Agriculture. Remote Sensing 2021, 13, 1219 .
AMA StyleRamona Magno, Leandro Rocchi, Riccardo Dainelli, Alessandro Matese, Salvatore Di Gennaro, Chi-Farn Chen, Nguyen-Thanh Son, Piero Toscano. AgroShadow: A New Sentinel-2 Cloud Shadow Detection Tool for Precision Agriculture. Remote Sensing. 2021; 13 (6):1219.
Chicago/Turabian StyleRamona Magno; Leandro Rocchi; Riccardo Dainelli; Alessandro Matese; Salvatore Di Gennaro; Chi-Farn Chen; Nguyen-Thanh Son; Piero Toscano. 2021. "AgroShadow: A New Sentinel-2 Cloud Shadow Detection Tool for Precision Agriculture." Remote Sensing 13, no. 6: 1219.
In the last decades since the dramatic increase in flood frequency and magnitude, floods have become a crucial problem in West Africa. National and international authorities concentrate efforts on developing early warning systems (EWS) to deliver flood alerts and prevent loss of lives and damages. Usually, regional EWS are based on hydrological modeling, while local EWS adopt field observations. This study aims to integrate outputs from two regional hydrological models—Niger HYPE (NH) and World-Wide HYPE (WWH)—in a local EWS developed for the Sirba River. Sirba is the major tributary of Middle Niger River Basin and is supported by a local EWS since June 2019. Model evaluation indices were computed with 5-day forecasts demonstrating a better performance of NH (Nash–Sutcliffe efficiency NSE = 0.58) than WWH (NSE = 0.10) and the need of output optimization. The optimization conducted with a linear regression post-processing technique improves performance significantly to “very good” for NH (Heidke skill score HSS = 0.53) and “good” for WWH (HSS = 0.28). HYPE outputs allow to extend local EWS warning lead-time up to 10 days. Since the transfer informatic environment is not yet a mature operational system 10–20% of forecasts were unfortunately not produced in 2019, impacting operational availability.
Giovanni Massazza; Vieri Tarchiani; Jafet C. M. Andersson; Abdou Ali; Mohamed Housseini Ibrahim; Alessandro Pezzoli; Tiziana De Filippis; Leandro Rocchi; Bernard Minoungou; David Gustafsson; Maurizio Rosso. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River. Water 2020, 12, 3504 .
AMA StyleGiovanni Massazza, Vieri Tarchiani, Jafet C. M. Andersson, Abdou Ali, Mohamed Housseini Ibrahim, Alessandro Pezzoli, Tiziana De Filippis, Leandro Rocchi, Bernard Minoungou, David Gustafsson, Maurizio Rosso. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River. Water. 2020; 12 (12):3504.
Chicago/Turabian StyleGiovanni Massazza; Vieri Tarchiani; Jafet C. M. Andersson; Abdou Ali; Mohamed Housseini Ibrahim; Alessandro Pezzoli; Tiziana De Filippis; Leandro Rocchi; Bernard Minoungou; David Gustafsson; Maurizio Rosso. 2020. "Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River." Water 12, no. 12: 3504.
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, hence impacting on Sustainable Development (SD). Early Warning Systems (EWS) for floods that properly address all four EWS components, while also being community and impact-based, do not yet exist in WA. Existing systems address only the main rivers, are conceived in a top-down manner and are hazard-centered. This study on the Sirba river in Niger aims to demonstrate that an operational community and impact-based EWS for floods can be set up by leveraging the existing tools, local stakeholders and knowledge. The main finding of the study is that bridging the gap between top-down and bottom-up approaches is possible by directly connecting the available technical capabilities with the local level through a participatory approach. This allows the beneficiaries to define the rules that will develop the whole system, strengthening their ability to understand the information and take action. Moreover, the integration of hydrological forecasts and observations with the community monitoring and preparedness system provides a lead time suitable for operational decision-making at national and local levels. The study points out the need for the commitment of governments to the transboundary sharing of flood information for EWS and SD.
Vieri Tarchiani; Giovanni Massazza; Maurizio Rosso; Maurizio Tiepolo; Alessandro Pezzoli; Mohamed Housseini Ibrahim; Gaptia Lawan Katiellou; Paolo Tamagnone; Tiziana De Filippis; Leandro Rocchi; Valentina Marchi; Elena Rapisardi. Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger. Sustainability 2020, 12, 1802 .
AMA StyleVieri Tarchiani, Giovanni Massazza, Maurizio Rosso, Maurizio Tiepolo, Alessandro Pezzoli, Mohamed Housseini Ibrahim, Gaptia Lawan Katiellou, Paolo Tamagnone, Tiziana De Filippis, Leandro Rocchi, Valentina Marchi, Elena Rapisardi. Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger. Sustainability. 2020; 12 (5):1802.
Chicago/Turabian StyleVieri Tarchiani; Giovanni Massazza; Maurizio Rosso; Maurizio Tiepolo; Alessandro Pezzoli; Mohamed Housseini Ibrahim; Gaptia Lawan Katiellou; Paolo Tamagnone; Tiziana De Filippis; Leandro Rocchi; Valentina Marchi; Elena Rapisardi. 2020. "Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger." Sustainability 12, no. 5: 1802.
A drought-monitoring and forecasting system developed for the Tuscany region was improved in order to provide a semi-automatic, more detailed, timely and comprehensive operational service for decision making, water authorities, researchers and general stakeholders. Ground-based and satellite data from different sources (regional meteorological stations network, MODIS Terra satellite and CHIRPS/CRU precipitation datasets) are integrated through an open-source, interoperable SDI (spatial data infrastructure) based on PostgreSQL/PostGIS to produce vegetation and precipitation indices that allow following of the occurrence and evolution of a drought event. The SDI allows the dissemination of comprehensive, up-to-date and customizable information suitable for different end-users through different channels, from a web page and monthly bulletins, to interoperable web services, and a comprehensive climate service. The web services allow geospatial elaborations on the fly, and the geo-database can be increased with new input/output data to respond to specific requests or to increase the spatial resolution.
Ramona Magno; Tiziana De Filippis; Edmondo Di Giuseppe; Massimiliano Pasqui; Leandro Rocchi; Bernardo Gozzini. Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region. Geosciences 2018, 8, 49 .
AMA StyleRamona Magno, Tiziana De Filippis, Edmondo Di Giuseppe, Massimiliano Pasqui, Leandro Rocchi, Bernardo Gozzini. Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region. Geosciences. 2018; 8 (2):49.
Chicago/Turabian StyleRamona Magno; Tiziana De Filippis; Edmondo Di Giuseppe; Massimiliano Pasqui; Leandro Rocchi; Bernardo Gozzini. 2018. "Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region." Geosciences 8, no. 2: 49.
Accessibility, availability, re-use and re-distribution of scientific data are prerequisites to build climate services across Europe. From this perspective the Institute of Biometeorology of the National Research Council (IBIMET-CNR), aiming at contributing to the sharing and integration of research data, has developed a research data infrastructure to support the scientific activities conducted in several national and international research projects. The proposed architecture uses open-source tools to ensure sustainability in the development and deployment of Web applications with geographic features and data analysis functionalities. The spatial data infrastructure components are organized in typical client–server architecture and interact from the data provider download data process to representation of the results to end users. The availability of structured raw data as customized information paves the way for building climate service purveyors to support adaptation, mitigation and risk management at different scales.This work is a bottom-up collaborative initiative between different IBIMET-CNR research units (e.g. geomatics and information and communication technology – ICT; agricultural sustainability; international cooperation in least developed countries – LDCs) that embrace the same approach for sharing and re-use of research data and informatics solutions based on co-design, co-development and co-evaluation among different actors to support the production and application of climate services. During the development phase of Web applications, different users (internal and external) were involved in the whole process so as to better define user needs and suggest the implementation of specific custom functionalities. Indeed, the services are addressed to researchers, academics, public institutions and agencies – practitioners who can access data and findings from recent research in the field of applied meteorology and climatology.
Tiziana De Filippis; Leandro Rocchi; Elena Rapisardi. An interoperable research data infrastructure to support climate service development. Advances in Science and Research 2018, 14, 335 -340.
AMA StyleTiziana De Filippis, Leandro Rocchi, Elena Rapisardi. An interoperable research data infrastructure to support climate service development. Advances in Science and Research. 2018; 14 ():335-340.
Chicago/Turabian StyleTiziana De Filippis; Leandro Rocchi; Elena Rapisardi. 2018. "An interoperable research data infrastructure to support climate service development." Advances in Science and Research 14, no. : 335-340.
A. Zaldei; F. Camilli; T. De Filippis; F. Di Gennaro; S. Di Lonardo; F. Dini; B. Gioli; G. Gualtieri; A. Matese; W. Nunziati; L. Rocchi; P. Toscano; C. Vagnoli. An integrated low-cost road traffic and air pollution monitoring platform for next citizen observatories. Transportation Research Procedia 2017, 24, 531 -538.
AMA StyleA. Zaldei, F. Camilli, T. De Filippis, F. Di Gennaro, S. Di Lonardo, F. Dini, B. Gioli, G. Gualtieri, A. Matese, W. Nunziati, L. Rocchi, P. Toscano, C. Vagnoli. An integrated low-cost road traffic and air pollution monitoring platform for next citizen observatories. Transportation Research Procedia. 2017; 24 ():531-538.
Chicago/Turabian StyleA. Zaldei; F. Camilli; T. De Filippis; F. Di Gennaro; S. Di Lonardo; F. Dini; B. Gioli; G. Gualtieri; A. Matese; W. Nunziati; L. Rocchi; P. Toscano; C. Vagnoli. 2017. "An integrated low-cost road traffic and air pollution monitoring platform for next citizen observatories." Transportation Research Procedia 24, no. : 531-538.
An integrated monitoring platform (IMP) was developed for real-time monitoring of traffic flows and related air pollution in urban areas. The IMP includes: (i) an air quality monitoring unit, integrating the “Arduino” open-source technology with low-cost and high-resolution sensors, to measure air pollutant concentrations; (ii) a traffic monitoring device, equipped with a camera sensor and a video analysis software, to detect vehicles’ counts, speed and category; (iii) a spatial data infrastructure, composed of a central GeoDatabase, a GIS engine, and a web interface, for data storage and management. The IMP was tested in Florence (Italy) by installing sensor devices at a road site where a 1-year measuring campaign was carried out. A reference meteorological station in the city centre was used to provide observations of wind speed and direction, air temperature, and relative humidity. In this work, a statistical analysis was performed to investigate the influence of local road traffic and meteorological conditions on CO, NO2 and CO2 concentrations. Two different methods were applied: a linear regression model and an artificial neural network. To investigate the role played by emissions from road traffic, the influence of all drivers by period of the year (cold vs. warm months) and day of the week (weekdays vs. weekends) was analysed. As a result, the contribution of local road traffic on pollutant concentrations proved to be lower than meteorological parameters.
G. Gualtieri; F. Camilli; A. Cavaliere; T. De Filippis; Salvatore Filippo Di Gennaro; Sara Di Lonardo; F. Dini; B. Gioli; A. Matese; W. Nunziati; L. Rocchi; Piero Toscano; C. Vagnoli; A. Zaldei. An integrated low-cost road traffic and air pollution monitoring platform to assess vehicles’ air quality impact in urban areas. Transportation Research Procedia 2017, 27, 609 -616.
AMA StyleG. Gualtieri, F. Camilli, A. Cavaliere, T. De Filippis, Salvatore Filippo Di Gennaro, Sara Di Lonardo, F. Dini, B. Gioli, A. Matese, W. Nunziati, L. Rocchi, Piero Toscano, C. Vagnoli, A. Zaldei. An integrated low-cost road traffic and air pollution monitoring platform to assess vehicles’ air quality impact in urban areas. Transportation Research Procedia. 2017; 27 ():609-616.
Chicago/Turabian StyleG. Gualtieri; F. Camilli; A. Cavaliere; T. De Filippis; Salvatore Filippo Di Gennaro; Sara Di Lonardo; F. Dini; B. Gioli; A. Matese; W. Nunziati; L. Rocchi; Piero Toscano; C. Vagnoli; A. Zaldei. 2017. "An integrated low-cost road traffic and air pollution monitoring platform to assess vehicles’ air quality impact in urban areas." Transportation Research Procedia 27, no. : 609-616.
In Sub-Saharan Africa analysis tools and models based on meteorological satellites data have been developed within different national and international cooperation initiatives, with the aim of allowing a better monitoring of the cropping season. In most cases, the software was a stand-alone application and the upgrading, in terms of analysis functions, database and hardware maintenance, was difficult for the National Meteorological Services (NMSs) in charge of agro-hydro-meteorological monitoring. The web-based solution proposed in this work intends to improve and ensure the sustainability of applications to support national Early Warning Systems (EWSs) for food security. The Crop Risk Zones (CRZ) model for Niger and Mali, integrated in a web-based open source framework, has been implemented using PL/pgSQL & PostGIS functions to process different meteorological data sets: a) the rainfall precipitation forecast images from Global Forecast System (GFS) b) the Climate Prediction Center (CPC) Rainfall Estimation (RFE) for Africa c) Multi-Sensor Precipitation Estimate (MPE) images from EUMETSAT Earth Observation Portal d) the MOD16 Global Terrestrial Evapotranspiration Data Set. Restful Web Services upload raster images into the PostgreSQL/PostGIS database. PL/pgSQL functions are used to run the CRZ model to identify installation and phenological phases of the main crops in the Region and to create crop risk zones images. This model is focused on the early identification of risks and the production of information for food security within the time prescribed for decision-making. The challenge and the objective of this work is to set up an open access monitoring system, based on meteorological open data providers, targeting NMSs and any other local decision makers for drought risk reduction and resilience improvement.
Tiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. 2016, 1 .
AMA StyleTiziana De Filippis, Leandro Rocchi, Patrizio Vignaroli, Maurizio Bacci, Vieri Tarchiani, Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. . 2016; ():1.
Chicago/Turabian StyleTiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. 2016. "Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa." , no. : 1.
In Sub-Saharan Africa analysis tools and models based on meteorological satellites data have been developed within different national and international cooperation initiatives, with the aim of allowing a better monitoring of the cropping season. In most cases, the software was a stand-alone application and the upgrading, in terms of analysis functions, database and hardware maintenance, was difficult for the National Meteorological Services (NMSs) in charge of agro-hydro-meteorological monitoring. The web-based solution proposed in this work intends to improve and ensure the sustainability of applications to support national Early Warning Systems (EWSs) for food security. The Crop Risk Zones (CRZ) model for Niger and Mali, integrated in a web-based open source framework, has been implemented using PL/pgSQL & PostGIS functions to process different meteorological data sets: a) the rainfall precipitation forecast images from Global Forecast System (GFS) b) the Climate Prediction Center (CPC) Rainfall Estimation (RFE) for Africa c) Multi-Sensor Precipitation Estimate (MPE) images from EUMETSAT Earth Observation Portal d) the MOD16 Global Terrestrial Evapotranspiration Data Set. Restful Web Services upload raster images into the PostgreSQL/PostGIS database. PL/pgSQL functions are used to run the CRZ model to identify installation and phenological phases of the main crops in the Region and to create crop risk zones images. This model is focused on the early identification of risks and the production of information for food security within the time prescribed for decision-making. The challenge and the objective of this work is to set up an open access monitoring system, based on meteorological open data providers, targeting NMSs and any other local decision makers for drought risk reduction and resilience improvement.
Tiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. 2016, 1 .
AMA StyleTiziana De Filippis, Leandro Rocchi, Patrizio Vignaroli, Maurizio Bacci, Vieri Tarchiani, Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. . 2016; ():1.
Chicago/Turabian StyleTiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. 2016. "Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa." , no. : 1.
Air quality is a crucial issue for urban environment, urging national and local administrators to implement new approaches and strategies that ensure better environmental governance and public accountability for health. The SensorWebBike is a web-based information service framework designed to support the participative sensing approach [1] for urban environmental monitoring, composed of 3 main components: 1) Arduino-based mobile platforms, installed on bikes, to monitor urban air quality and weather parameters; 2) an Urban GeoDatabase; 3) Web Application, that enables users to view and analyse the data of volunteered geographic information gathered by bikers. The system integrates the analytic and the synthetic method and respects the Open Data approach and the geospatial standards throughout the entire process workflow. Bikers become voluntary “citizens-sensors” [2], and their active involvement could increase the awareness on air quality issues: using their bikes, they populate Urban GeoDatabase with georeferred data of pollutants (CO2, CO, NO2, CH4, O3) concentration, temperature, relative humidity and solar radiation, and contribute to build a comprehensive and constantly updated spatial representation of air quality pattern of the urban area. The SensorWebBike framework is on test in Siracusa (Italy), in a Living Lab operating into a futuristic smart city.
C. Vagnoli; S. Di Lonardo; A. Zaldei; P. Toscano; A. Matese; B. Gioli; L. Rocchi; T. De Filippis; G. Gualtieri; F. Martelli. The SensorWebBike for air quality monitoring in a smart city. IET Conference on Future Intelligent Cities 2014, 2 (4 .) -2 (4 .).
AMA StyleC. Vagnoli, S. Di Lonardo, A. Zaldei, P. Toscano, A. Matese, B. Gioli, L. Rocchi, T. De Filippis, G. Gualtieri, F. Martelli. The SensorWebBike for air quality monitoring in a smart city. IET Conference on Future Intelligent Cities. 2014; ():2 (4 .)-2 (4 .).
Chicago/Turabian StyleC. Vagnoli; S. Di Lonardo; A. Zaldei; P. Toscano; A. Matese; B. Gioli; L. Rocchi; T. De Filippis; G. Gualtieri; F. Martelli. 2014. "The SensorWebBike for air quality monitoring in a smart city." IET Conference on Future Intelligent Cities , no. : 2 (4 .)-2 (4 .).
ISHS I International Workshop on Vineyard Mechanization and Grape and Wine Quality SMARTVINEYARD: AN OPEN SOURCE WEB-GIS APPLICATION FOR PRECISION VITICULTURE
T. De Filippis; L. Rocchi; E. Fiorillo; Alessandro Matese; F. Di Gennaro; L. Genesio. SMARTVINEYARD: AN OPEN SOURCE WEB-GIS APPLICATION FOR PRECISION VITICULTURE. Acta Horticulturae 2013, 107 -116.
AMA StyleT. De Filippis, L. Rocchi, E. Fiorillo, Alessandro Matese, F. Di Gennaro, L. Genesio. SMARTVINEYARD: AN OPEN SOURCE WEB-GIS APPLICATION FOR PRECISION VITICULTURE. Acta Horticulturae. 2013; (978):107-116.
Chicago/Turabian StyleT. De Filippis; L. Rocchi; E. Fiorillo; Alessandro Matese; F. Di Gennaro; L. Genesio. 2013. "SMARTVINEYARD: AN OPEN SOURCE WEB-GIS APPLICATION FOR PRECISION VITICULTURE." Acta Horticulturae , no. 978: 107-116.
In the Sahel region the unfavourable climatic conditions and the natural resources degradation are recognised to be the main constraints affecting the agricultural productivity; nevertheless more complex and less evident causes of food insecurity of population groups need to be investigated.
Maurizio Bacci; Tiziana De Filippis; Andrea Di Vecchia; Bakary Djaby; Francesca Incerti; Moussa Labo; Leandro Rocchi; Fabio Straccali; Patrizio Vignaroli. Vulnerability Assessment for Food Crisis Management in the Sahel Region. Geo-information for Disaster Management 2005, 819 -827.
AMA StyleMaurizio Bacci, Tiziana De Filippis, Andrea Di Vecchia, Bakary Djaby, Francesca Incerti, Moussa Labo, Leandro Rocchi, Fabio Straccali, Patrizio Vignaroli. Vulnerability Assessment for Food Crisis Management in the Sahel Region. Geo-information for Disaster Management. 2005; ():819-827.
Chicago/Turabian StyleMaurizio Bacci; Tiziana De Filippis; Andrea Di Vecchia; Bakary Djaby; Francesca Incerti; Moussa Labo; Leandro Rocchi; Fabio Straccali; Patrizio Vignaroli. 2005. "Vulnerability Assessment for Food Crisis Management in the Sahel Region." Geo-information for Disaster Management , no. : 819-827.