Results 81 to 90 of about 95,905 (332)

A Novel Multilevel Conceptual Framework for Flood Risk Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley   +1 more source

Rooftop Surface Temperature Analysis in an Urban Residential Environment

Remote Sensing, 2015
The urban heat island (UHI) phenomenon is a significant worldwide problem caused by rapid population growth and associated urbanization. The UHI effect exacerbates heat waves during the summer, increases energy and water consumption, and causes the high ...
Qunshan Zhao, Soe W. Myint, Elizabeth A. Wentz, Chao Fan   +3 more
doaj   +1 more source

Implementation and assessment of two density-based outlier detection methods over large spatial point clouds [PDF]

, 2018
Several technologies provide datasets consisting of a large number of spatial points, commonly referred to as point-clouds. These point datasets provide spatial information regarding the phenomenon that is to be investigated, adding value through ...
Fissore, Francesca, Masiero, Andrea, Pirotti, Francesco, Ravanelli, Roberta   +3 more
core   +4 more sources

Defining the pollinator garden: is conceptual flexibility a feature or a bug?

Frontiers in Ecology and the Environment, EarlyView.
Ecologists often aim to reduce conceptual ambiguity by attempting to create rigid shared lexicons. These efforts imply that ambiguity is undesirable. In some contexts, however, conceptual flexibility comes with under‐discussed benefits. Here, we use the lens of pollinator gardening to explore how conceptual flexibility is built into participatory ...
Atticus W Murphy, Nicholas N Dorian, Emily Minor, Paul J CaraDonna, Sean R Griffin, Heather Holm, Amy M Iler, Gwen E Kirschke, J Scott MacIvor, Katherine R Urban‐Mead, Elsa Youngsteadt, Elizabeth E Crone   +11 more
wiley   +1 more source

Research on Large-Scale Urban Shrinkage and Expansion in the Yellow River Affected Area Using Night Light Data

ISPRS International Journal of Geo-Information, 2020
As the land use issue, caused by urban shrinkage in China, is becoming more and more prominent, research on urban shrinkage and expansion has become particularly challenging and urgent. Based on the points of interest (POI) data, this paper redefines the
Wenhui Niu, Haoming Xia, Ruimeng Wang, Li Pan, Qingmin Meng, Yaochen Qin, Rumeng Li, Xiaoyang Zhao, Xiqing Bian, Wei Zhao   +9 more
doaj   +1 more source

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy) [PDF]

, 2012
This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action).
Boccardo, Piero, Chiabrando, Filiberto, Facello, Anna, Gnavi, Loretta, Lingua, Andrea Maria, Maschio, Paolo Felice, Pasquale, F., Spanò, A.   +7 more
core  

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques

Remote Sensing, 2020
Carbon to nitrogen ratio (C:N) of senescent leaf is a crucial functional trait and indicator of litter quality that affects belowground carbon and nitrogen cycles, especially soil decomposition. Although mapping the C:N ratio of fresh mature canopies has
Md Mizanur Rahman, Xunhe Zhang, Imran Ahmed, Zaheer Iqbal, Mojtaba Zeraatpisheh, Mamoru Kanzaki, Ming Xu   +6 more
doaj   +1 more source

Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation

, 2020
Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation.
Borkin, Michelle A., Dunne, Cody, Jain, Twinkle, Leventidis, Aristotelis, Saffo, David   +4 more
core   +1 more source

Oceans of Tomorrow sensor interoperability for in-situ ocean monitoring [PDF]

, 2016
The Oceans of Tomorrow (OoT) projects, funded by the European Commission’s FP7 program, are developing a new generation of sensors supporting physical, biogeochemical and biological oceanographic monitoring. The sensors range from acoustic to optical
Jirka, Simon, Pearlman, Jay S, Río Fernandez, Joaquín del   +2 more
core   +1 more source