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pro vyhledávání: '"Uhl, Johannes"'
Autor:
Uhl, Johannes H., Leyk, Stefan
The accuracy assessment of remote-sensing derived built-up land data represents a specific case of binary map comparison, where class imbalance varies considerably across rural-urban trajectories. Thus, local accuracy characterization of such dataset
Externí odkaz:
http://arxiv.org/abs/2403.00166
Autor:
Uhl, Johannes H., Leyk, Stefan
This paper presents a method for thematic agreement assessment of geospatial data products of different semantics and spatial granularities, which may be affected by spatial offsets between test and reference data. The proposed method uses a multi-sc
Externí odkaz:
http://arxiv.org/abs/2403.00161
Autor:
Uhl, Johannes H., Leyk, Stefan
Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are difficult to translate into interpretable measures. For example, the Global Human Settlem
Externí odkaz:
http://arxiv.org/abs/2303.00841
The scaling relations between city attributes and population are emergent and ubiquitous aspects of urban growth. Quantifying these relations and understanding their theoretical foundation, however, is difficult due to the challenge of defining city
Externí odkaz:
http://arxiv.org/abs/2209.10852
Autor:
Uhl, Johannes H., Leyk, Stefan
The level of landscape heterogeneity may affect the performance of remote sensing based land use / land cover classification. However, the relationship between mapping accuracy of built-up surfaces and morphological characteristics of built-up areas
Externí odkaz:
http://arxiv.org/abs/2205.09023
Autor:
Uhl, Johannes H., Leyk, Stefan
To better understand the dynamics of human settlements, thorough knowledge of the uncertainty in geospatial built-up surface datasets is critical. While frameworks for localized accuracy assessments of categorical gridded data have been proposed to a
Externí odkaz:
http://arxiv.org/abs/2203.11253
Autor:
Uhl, Johannes H., Leyk, Stefan
Despite abundant data on the spatial distribution of contemporary human settlements, historical data on the long-term evolution of human settlements at fine spatial and temporal granularity is scarce, limiting our quantitative understanding of long-t
Externí odkaz:
http://arxiv.org/abs/2203.11078
Autor:
Uhl, Johannes H., Hunter, Lori M., Leyk, Stefan, Connor, Dylan S., Nieves, Jeremiah J., Hester, Cyrus, Talbot, Catherine B., Gutmann, Myron
Rural-urban classifications are essential for analyzing geographic, demographic, environmental, and social processes across the rural-urban continuum. Most existing classifications are, however, only available at relatively aggregated spatial scales,
Externí odkaz:
http://arxiv.org/abs/2202.13767
Autor:
Uhl, Johannes H., Leyk, Stefan, Hunter, Lori M., Talbot, Catherine B., Connor, Dylan S., Nieves, Jeremiah J., Gutmann, Myron
Rural-urban classifications are essential for analyzing geographic, demographic, environmental, or socioeconomic processes across the rural-urban continuum. However, existing county-level classifications may ignore the within-county variations of rur
Externí odkaz:
http://arxiv.org/abs/2202.08496
Transportation infrastructure, such as road or railroad networks, represent a fundamental component of our civilization. For sustainable planning and informed decision making, a thorough understanding of the long-term evolution of transportation infr
Externí odkaz:
http://arxiv.org/abs/2202.04883