Article-Journal

Vision2Slope: estimating urban road slopes with street view imagery featured image

Vision2Slope: estimating urban road slopes with street view imagery

Road slope is a critical yet underrepresented variable in urban analysis. This study presents Vision2Slope, a scalable framework that uses panoramic street view imagery and …

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Yang Chen
Revealing the co-occurrence patterns of public emotions from social media data featured image

Revealing the co-occurrence patterns of public emotions from social media data

This study proposes a framework that integrates deep learning with co-occurrence theory to classify public emotions from social media data into single, dominant-subordinate, and …

Yang Hua
A graph neural network for small-area estimation: integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference featured image

A graph neural network for small-area estimation: integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference

Lunar craters are important geomorphological features, that provide valuable insights into lunar morphology, geology, and impact processes. However, the current understanding of …

Pengyuan Liu
Vertical 15-minute city: Modeling urban density and functional mix with multi-source geospatial data featured image

Vertical 15-minute city: Modeling urban density and functional mix with multi-source geospatial data

This study introduces a 3D framework for assessing 15-minute accessibility in Nanjing, China. Using natural language processing and rule-based methods, we construct a 3D functional …

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Yang Chen
A typology of global relief classes derived from digital elevation models at 1 arcsec resolution featured image

A typology of global relief classes derived from digital elevation models at 1 arcsec resolution

Surveys of global relief classes are important for understanding the morphology and land processes of Earth's surface. This study proposes a novel framework integrating the …

Xin Yang
Characterizing spatial patterns and regionalization of anthropogenic landforms using multi-source geospatial data: Insights from Loess Plateau of China featured image

Characterizing spatial patterns and regionalization of anthropogenic landforms using multi-source geospatial data: Insights from Loess Plateau of China

Anthropogenic forces have become a significant factor in the development of geomorphology, influencing landform morphology and usage in diverse ways across natural and societal …

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Yang Chen
Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge featured image

Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge

Lunar craters are important geomorphological features, that provide valuable insights into lunar morphology, geology, and impact processes. However, the current understanding of …

Liyang Xiong
Delineating individual alluvial fans and morphological analysis based on digital elevation models featured image

Delineating individual alluvial fans and morphological analysis based on digital elevation models

We proposed a novel method for delineating individual alluvial fans based on free digital elevation models. This method incorporated multi-directional hillshades to accurately …

Xingyu Zhou
Assessing the influence of geo-environmental factors on discontinuous gully erosion at regional scales: A case study of spoon gullies on the loess plateau of China featured image

Assessing the influence of geo-environmental factors on discontinuous gully erosion at regional scales: A case study of spoon gullies on the loess plateau of China

Spoon gullies, characterized by fat heads and thin tails, are a typical type of discontinuous hillslope gully found extensively on the Loess Plateau of China. This study explores …

Chenrui Li