Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Hannes TAUBENBÖCK"'
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4601-4620 (2023)
ABSTRACTEarth observation data provides valuable information and support along the disaster management cycle. However, information from satellite remote sensing is often not available in the first hours a crisis occurs, due to several reasons, e.g. p
Externí odkaz:
https://doaj.org/article/94b24629d6744af4814fcc449fdf7fae
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28318- (2024)
Urban expansion simulation is of significant importance to land management and policymaking. Advances in deep learning facilitate capturing and anticipating urban land dynamics with state-of-the-art accuracy properties. In this context, a novel deep
Externí odkaz:
https://doaj.org/article/c79d41c4f06040f2af40bf3f71798138
Autor:
Sugandha Doda, Matthias Kahl, Kim Ouan, Ivica Obadic, Yuanyuan Wang, Hannes Taubenböck, Xiao Xiang Zhu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103731- (2024)
Accurate and up-to-date mapping of the human population is fundamental for a wide range of disciplines, from effective governance and establishing policies to disaster management and crisis dilution. The traditional method of gathering population dat
Externí odkaz:
https://doaj.org/article/b0d837a7b0db4a6caeecea271386c545
Autor:
Thomas Stark, Valentin Ştefan, Michael Wurm, Robin Spanier, Hannes Taubenböck, Tiffany M. Knight
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Develoment of image recognition AI algorithms for flower-visiting arthropods has the potential to revolutionize the way we monitor pollinators. Ecologists need light-weight models that can be deployed in a field setting and can classify with
Externí odkaz:
https://doaj.org/article/f34544ae25634f458dcf5e513827cdbc
Autor:
Emanuele Massaro, Rossano Schifanella, Matteo Piccardo, Luca Caporaso, Hannes Taubenböck, Alessandro Cescatti, Gregory Duveiller
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract The population experiencing high temperatures in cities is rising due to anthropogenic climate change, settlement expansion, and population growth. Yet, efficient tools to evaluate potential intervention strategies to reduce population expos
Externí odkaz:
https://doaj.org/article/7cf8da994aba4f669cd807b1af8cce46
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103571- (2023)
We introduce two semi-supervised models for the classification of remote sensing image data. The models are built upon the framework of Virtual Support Vector Machines (VSVM). Generally, VSVM follow a two-step learning procedure: A Support Vector Mac
Externí odkaz:
https://doaj.org/article/8c9e7a594a974079856ab3284feb3168
Autor:
Matthias Weigand, Michael Wurm, Ariane Droin, Thomas Stark, Jeroen Staab, Jürgen Rauh, Hannes Taubenböck
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
AbstractGreen space (GS) is a crucial resource in urban areas, but not spatially uniformly distributed. We compare the availability of GS on a national scale using green land cover (GLC) and public green space (PGS). Using spatial census data we anal
Externí odkaz:
https://doaj.org/article/89223572f847492494dd66bc322fe54e
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTFailures in urban areas’ solid waste management lead to clandestine garbage dumping and pollution. This affects sanitation and public human hygiene, deteriorates quality of life, and contributes to deprivation. This study aimed to test a co
Externí odkaz:
https://doaj.org/article/01f49a9cfaa94b7bb4664f9a39d7e801
Autor:
Sugandha Doda, Yuanyuan Wang, Matthias Kahl, Eike Jens Hoffmann, Kim Ouan, Hannes Taubenböck, Xiao Xiang Zhu
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) human population distribution Technology Type(s) remote sensing Factor Type(s) remote sensing data Sample Characteristic - Location Europe
Externí odkaz:
https://doaj.org/article/55952680a7924f44a568e726242ad396
Publikováno v:
npj Urban Sustainability, Vol 2, Iss 1, Pp 1-10 (2022)
Abstract Global population growth and land development are highly imbalanced, marked by 43% of population increase but 150% of built-up area expansion from 1990 to 2018. This results in the widely concerned ghost city phenomenon and runs against the
Externí odkaz:
https://doaj.org/article/096739b28e3243ae84845648a1b39c81