89   Artículos

 
en línea
Esraa Othman, Iva Cibilic, Vesna Posloncec-Petric and Dina Saadallah    
Environmental noise is a major environmental concern in metropolitan cities. The rapid social and economic growth in the 20th century is not always accompanied by adequate land planning and environmental management measures. As a consequence of rapid urb... ver más
Revista: Urban Science    Formato: Electrónico

 
en línea
Janine Florath, Jocelyn Chanussot and Sina Keller    
Natural hazards can present a significant risk to road infrastructure. This infrastructure is a fundamental component of the transportation infrastructure, with significant importance. During emergencies, society heavily relies on the functionality of th... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Arnab Biswas, Kiki Adhinugraha and David Taniar    
With urban areas facing rapid population growth, public transport plays a key role to provide efficient and economic accessibility to the residents. It reduces the use of personal vehicles leading to reduced traffic congestion on roads and reduced pollut... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Mustapha Ikirri, Said Boutaleb, Ismael M. Ibraheem, Mohamed Abioui, Fatima Zahra Echogdali, Kamal Abdelrahman, Mouna Id-Belqas, Tamer Abu-Alam, Hasna El Ayady, Sara Essoussi and Farid Faik    
An assessment of potential groundwater areas in the Ifni basin, located in the western Anti-Atlas range of Morocco, was conducted based on a multicriteria analytical approach that integrated a set of geomorphological and hydroclimatic factors influencing... ver más
Revista: Water    Formato: Electrónico

 
en línea
Enrique Aldao, Higinio González-Jorge, Luis Miguel González-deSantos, Gabriel Fontenla-Carrera and Joaquin Martínez-Sánchez    
The inspection and maintenance of track ballast are fundamental tasks for the preservation of the condition of railway networks. This work presents an application based on a low-cost solid-state LiDAR system, which allows the user to accurately measure t... ver más
Revista: Infrastructures    Formato: Electrónico

 
en línea
Rostislav Netek, Tereza Pohankova, Oldrich Bittner and Daniel Urban    
With the rapid development of internet technologies in recent years, the shift from the desktop to the web platform can be seen within geospatial analysis. While analytical tools, such as buffer or clip, are routinely used in desktop environments, WebGIS... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Christos Chalkias, Evangelos Papadias, Christoforos Vradis, Christos Polykretis, Kleomenis Kalogeropoulos, Athanasios Psarogiannis and Georgios Chalkias    
Extraction and dissemination of historical geospatial data from early maps are major goals of historical geographic information systems (HGISs) in the context of the spatial humanities. This paper illustrates the process of interpreting, georeferencing, ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zengkang Lu, Chenglong Yu, Huanan Liu, Jiquan Zhang, Yichen Zhang, Jie Wang and Yanan Chen    
Collapses are one of the most common geological disasters in mountainous areas, which easily damage buildings and infrastructures and bring huge property losses to people?s production and life. This paper uses Huinan County as the study area, and with th... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Hadeed Ashraf, Saliha Qamar, Nadia Riaz, Redmond R. Shamshiri, Muhammad Sultan, Bareerah Khalid, Sobhy M. Ibrahim, Muhammad Imran and Muhammad Usman Khan    
Estimation of reference evapotranspiration (ETo) is a key element in water resources management and crop water requirement which, in turn, affects irrigation scheduling. ETo is subject to the influence of various climatic parameters including minimum tem... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, Steven R. Schill and Daniel R. Morgan    
Deep learning techniques are increasingly being recognized as effective image classifiers. Aside from their successful performance in past studies, the accuracies have varied in complex environments, in comparison with the popularly of applied machine le... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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