Stefan Leyk
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View article: Emissions from burned structures in wildfires as significant yet unaccounted sources of US air pollution
Emissions from burned structures in wildfires as significant yet unaccounted sources of US air pollution Open
Structure fires in the wildland-urban interface (WUI) are becoming more frequent and destructive, yet their emissions of air pollutants remain poorly quantified and are not included in national inventories. Here we present a conterminous-s…
View article: COMBUST: Gridded combustible mass estimates of the built environment in the conterminous United States (1975-2020)
COMBUST: Gridded combustible mass estimates of the built environment in the conterminous United States (1975-2020) Open
The increasing occurrence of natural hazards such as wildfires and drought, along with urban expansion and land consumption, causes increasing levels of fire risk to populations and human settlements. Moreover, increasing geopolitical inst…
View article: Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record
Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record Open
We address three basic issues regarding the long-term dynamics of inequality in society. First, we consider the interpretation of residence sizes in socioeconomic terms by comparing statistical patterns extracted from the Global Dynamics o…
View article: Mapping Rooftop Materials Across Diverse Urban Landscapes Using High-Resolution Satellite Imagery and Convolutional Neural Networks
Mapping Rooftop Materials Across Diverse Urban Landscapes Using High-Resolution Satellite Imagery and Convolutional Neural Networks Open
View article: Universal Patterns in the Long-term Growth of Urban Infrastructure in U.S. Cities from 1900 to 2015
Universal Patterns in the Long-term Growth of Urban Infrastructure in U.S. Cities from 1900 to 2015 Open
Despite the rapid growth of cities in the past century, our quantitative, in-depth understanding of how cities grow remains limited due to a consistent lack of historical data. Thus, the scaling laws between a city's features and its popul…
View article: Universal Patterns in the Long-term Growth of Urban Infrastructure in U.S. Cities from 1900 to 2015
Universal Patterns in the Long-term Growth of Urban Infrastructure in U.S. Cities from 1900 to 2015 Open
Despite the rapid growth of cities in the past century, our quantitative, in-depth understanding of how cities grow remains limited due to a consistent lack of historical data. Thus, the scaling laws between a city's features and its popul…
View article: Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data
Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data Open
The Global Human Settlement Layer (GHSL) project fosters an enhanced, public understanding of the human presence on Earth. A decade after its inception in the Digital Earth 2020 vision, GHSL is an established project of the European Commis…
View article: An Integrated Multi-Source Dataset for Measuring Settlement Evolution in the United States from 1810 to 2020
An Integrated Multi-Source Dataset for Measuring Settlement Evolution in the United States from 1810 to 2020 Open
Understanding changes in the built environment is vital for sustainable urban development and disaster preparedness. Recent years have seen the emergence of a variety of global, continent-level, and nation-wide datasets related to the curr…
View article: Towards localized accuracy assessment of remote-sensing derived built-up land layers across the rural-urban continuum
Towards localized accuracy assessment of remote-sensing derived built-up land layers across the rural-urban continuum Open
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 s…
View article: Thematic agreement assessment of gridded, multi-modal geospatial datasets of different semantics and spatial granularities
Thematic agreement assessment of gridded, multi-modal geospatial datasets of different semantics and spatial granularities Open
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…
View article: HISDAC-ES: historical settlement data compilation for Spain (1900–2020)
HISDAC-ES: historical settlement data compilation for Spain (1900–2020) Open
Multi-temporal measurements quantifying the changes to the Earth's surface are critical for understanding many natural, anthropogenic, and social processes. Researchers typically use remotely sensed Earth observation data to quantify and c…
View article: Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States Open
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 H…
View article: Data enrichment and supervised learning in road and settlement feature selection for small scale maps
Data enrichment and supervised learning in road and settlement feature selection for small scale maps Open
View article: Comment on essd-2023-53
Comment on essd-2023-53 Open
Abstract. Multi-temporal measurements quantifying the changes to the Earth’s surface are critical for understanding many natural, anthropogenic, and social processes. Researchers typically use remotely sensed earth observa…
View article: Comment on essd-2023-53
Comment on essd-2023-53 Open
Abstract. Multi-temporal measurements quantifying the changes to the Earth’s surface are critical for understanding many natural, anthropogenic, and social processes. Researchers typically use remotely sensed earth observa…
View article: Place-level urban–rural indices for the United States from 1930 to 2018
Place-level urban–rural indices for the United States from 1930 to 2018 Open
View article: Comment on essd-2023-53
Comment on essd-2023-53 Open
Abstract. Multi-temporal measurements quantifying the changes to the Earth’s surface are critical for understanding many natural, anthropogenic, and social processes. Researchers typically use remotely sensed earth observa…
View article: HISDAC-ES: Historical Settlement Data Compilation for Spain (1900–2020)
HISDAC-ES: Historical Settlement Data Compilation for Spain (1900–2020) Open
Multi-temporal measurements quantifying the changes to the Earth’s surface are critical for understanding many natural, anthropogenic, and social processes. Researchers typically use remotely sensed earth observation data to quantify and c…
View article: Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States
Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States Open
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 Hu…
View article: Ten simple rules for working with high resolution remote sensing data
Ten simple rules for working with high resolution remote sensing data Open
Researchers in Earth and environmental science can extract incredible value from high- resolution (sub-meter, sub-hourly or hyper-spectral) remote sensing data, but these data can be difficult to use. Correct, appropriate and competent use…
View article: HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020)
HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020) Open
The historical settlement data compilation for Spain (HISDAC-ES) is a geospatial dataset consisting of over 240 gridded surfaces measuring the physical, functional, age-related, and evolutionary characteristics of the Spanish building stoc…
View article: PLURAL - Place-level urban-rural indices for the United States from 1930 to 2018
PLURAL - Place-level urban-rural indices for the United States from 1930 to 2018 Open
PLURAL (Place-level urban-rural indices) is a framework to create continuous classifications of "rurality" or "urbanness" based on the spatial configuration of populated places. PLURAL makes use of the concept of "remotene…
View article: HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020)
HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020) Open
The historical settlement data compilation for Spain (HISDAC-ES) is a geospatial dataset consisting of over 240 gridded surfaces measuring the physical, functional, age-related, and evolutionary characteristics of the Spanish building stoc…
View article: Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data
Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data Open
It is common knowledge that the level of landscape heterogeneity may affect the performance of remote sensing based land use / land cover classification. While this issue has been studied in depth for land cover data in general, the specif…
View article: Analyzing urban scaling laws in the United States over 115 years
Analyzing urban scaling laws in the United States over 115 years Open
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 def…
View article: Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa
Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa Open
View article: Building spatio-temporal knowledge graphs from vectorized topographic historical maps
Building spatio-temporal knowledge graphs from vectorized topographic historical maps Open
Historical maps provide rich information for researchers in many areas, including the social and natural sciences. These maps contain detailed documentation of a wide variety of natural and human-made features and their changes over time, …
View article: Author Correction: Gridded land use data for the conterminous United States 1940–2015
Author Correction: Gridded land use data for the conterminous United States 1940–2015 Open
\nCorrection to: Scientific Data https://doi.org/10.1038/s41597-022-01591-0, published online 13 August 2022\n\n\nThe order of the tables on the in original version was incorrect, with tables published in the wrong posit…
View article: Historical building footprint area (BUFA) - gridded surfaces for the conterminous U.S. from 1900 to 2010
Historical building footprint area (BUFA) - gridded surfaces for the conterminous U.S. from 1900 to 2010 Open
These files are part of the dataset "Historical building footprint areas (BUFA) - gridded surfaces for the conterminous U.S. from 1900 to 2010", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United S…
View article: Gridded land use data for the conterminous United States 1940–2015
Gridded land use data for the conterminous United States 1940–2015 Open