[HTML][HTML] Integrating remote sensing and geospatial big data for urban land use mapping: A review

J Yin, J Dong, NAS Hamm, Z Li, J Wang, H Xing… - International Journal of …, 2021 - Elsevier
Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …

Understanding an urbanizing planet: Strategic directions for remote sensing

Z Zhu, Y Zhou, KC Seto, EC Stokes, C Deng… - Remote Sensing of …, 2019 - Elsevier
Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …

Breaking new ground in mapping human settlements from space–The Global Urban Footprint

T Esch, W Heldens, A Hirner, M Keil… - ISPRS Journal of …, 2017 - Elsevier
Abstract Today, approximately 7.2 billion people inhabit the Earth and by 2050 this number
will have risen to around nine billion, of which about 70% will be living in cities. The …

Slums from space—15 years of slum mapping using remote sensing

M Kuffer, K Pfeffer, R Sliuzas - Remote Sensing, 2016 - mdpi.com
The body of scientific literature on slum mapping employing remote sensing methods has
increased since the availability of more very-high-resolution (VHR) sensors. This improves …

[HTML][HTML] A new ranking of the world's largest cities—Do administrative units obscure morphological realities?

H Taubenböck, M Weigand, T Esch, J Staab… - Remote Sensing of …, 2019 - Elsevier
With 37 million inhabitants, Tokyo is the world's largest city in UN statistics. With this work we
call this ranking into question. Usually, global city rankings are based on nationally collected …

Multi-scale analysis of urban sprawl in Europe: Towards a European de-sprawling strategy

EI Hennig, C Schwick, T Soukup, E Orlitová, F Kienast… - Land use policy, 2015 - Elsevier
Urban sprawl is a major challenge on the way to sustainable land use as highlighted by the
International Year of Soils 2015. Because of increasing awareness of this threat in Europe …

[HTML][HTML] Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data

S Hafner, Y Ban, A Nascetti - Remote Sensing of Environment, 2022 - Elsevier
Accurate and up-to-date maps of built-up areas are crucial to support sustainable urban
development. Earth Observation (EO) is a valuable data source to cover this demand. In …

Unveiling patterns in human dominated landscapes through mapping the mass of US built structures

D Frantz, F Schug, D Wiedenhofer, A Baumgart… - Nature …, 2023 - nature.com
Built structures increasingly dominate the Earth's landscapes; their surging mass is currently
overtaking global biomass. We here assess built structures in the conterminous US by …

Urban footprint processor—Fully automated processing chain generating settlement masks from global data of the TanDEM-X mission

T Esch, M Marconcini, A Felbier, A Roth… - … and Remote Sensing …, 2013 - ieeexplore.ieee.org
The German TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-X) mission
(TDM) collects two global data sets of very high resolution (VHR) synthetic aperture radar …

[HTML][HTML] The global forest/non-forest map from TanDEM-X interferometric SAR data

M Martone, P Rizzoli, C Wecklich, C González… - Remote sensing of …, 2018 - Elsevier
In this paper we present the activities performed at the Microwaves and Radar Institute of the
German Aerospace Center (DLR) to derive global forest/non-forest classification mosaics …