GeoAI for Mapping

In May 2021, Drs Yongze Song (Curtin University, Australia), Margaret Kalacska (McGill University, Canada), Mateo Gašparović (University of Zagreb, Croatia), Jing Yao (University of Glasgow, UK), Nasser Najibi (Cornell University, USA) organised a Special Issue “Recent Advances in Geocomputation and GeoAI for Mapping” in the International Journal of Applied Earth Observation and Geoinformation.

The Special Issue published 30 high-quality articles from more than ten countries, including Germany, Canada, USA, China, Brazil, South Korea, Demark, Singapore, Israel, Netherlands, and Turkey.

In the publications, GeoAI was implemented in various fields, such as predicting building-level population across cities, identifying roof structures, extracting road marking with UAV, monitoring coastline changes, mapping floods, extracting building footprint, inferring tweet locations, identifying different types of buildings, mapping village-level poverty, etc.

Articles

Geolocating tweets via spatial inspection of information inferred from tweet meta-fields

A multi-sensor approach for characterising human-made structures by estimating area, volume and population based on sentinel data and deep learning

Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery

Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction

Road marking extraction in UAV imagery using attentive capsule feature pyramid network

Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery

Combining spatial response features and machine learning classifiers for landslide susceptibility mapping

Climatic factors dominate the spatial patterns of urban green space coverage in the contiguous United States

Operational performance of a combined Density- and Clustering-based approach to extract bathymetry returns from LiDAR point clouds

The CNRIEEEMC: A communication-navigation-remote sensing-integrated ecological environment emergency monitoring chain for tailings areas

Temporal and spatial variation of coastline using remote sensing images for Zhoushan archipelago, China

Mapping homogeneous regions for flash floods using machine learning: A case study in Jiangxi province, China

A review of spatially-explicit GeoAI applications in Urban Geography

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest

GeoUNet: A novel AI model for high-resolution mapping of ecological footprint

Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics