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Masoud Jafari Shalamzari, Wanchang Zhang, Atefeh Gholami and Zhijie Zhang
Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is tim...
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Wiwin Budiarti,Evi Gravitiani,Mujiyo Mujiyo
Pág. 96 - 108
Floods a main problem in Samin sub watershed, which is part of the Bengawan Solo watershed, Central Java Province. Assessment of the flood vulnerability level and its determinant causes is required as a basis information for policy makers to design a flo...
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Wei-Ling Hsu, Yi-Jheng Chang, Lin Mou, Juan-Wen Huang and Hsin-Lung Liu
Historic urban areas are the foundations of urban development. Due to rapid urbanization, the sustainable development of historic urban areas has become challenging for many cities. Elements of tourism and tourism service facilities play an important rol...
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Zhen Lei and Ting L. Lei
Geospatial data conflation is the process of identifying and merging the corresponding features in two datasets that represent the same objects in reality. Conflation is needed in a wide range of geospatial analyses, yet it is a difficult task, often con...
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Jose A. Montenegro and Antonio Muñoz
In this manuscript, we present EventGeoScout, an innovative framework for collaborative geographic information management, tailored to meet the needs of the dynamically changing landscape of geographic data integration and quality enhancement. EventGeoSc...
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Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng and Xinhao Jiang
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other r...
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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...
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Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol and Ferhat Karaca
This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving...
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Marbrisa N. R. das Virgens, Patricia L. Brito, Ricardo Lustosa, Julio Pedrassoli, Philipp Ulbrich, João Porto de Albuquerque, Marcos Rodrigo Ferreira, Fernando G. Severo, Alessandra da S. Figueiredo, Marcel Fantin, Hussein Khalil and Federico Costa
Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This s...
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Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig...
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