Where We Live - A Summary of the Achievements and Planned Evolution of the Global Urban Footprint
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Thomas Esch | Achim Roth | Andreas Hirner | Julian Zeidler | Mattia Marconcini | Stefan W. Dech | Noel Gorelick | Felix Bachofer | Wieke Heldens | Daniela Palacios-Lopez | Soner Üreyen | T. Esch | W. Heldens | M. Marconcini | A. Roth | J. Zeidler | S. Dech | N. Gorelick | Felix Bachofer | Soner Üreyen | A. Hirner | S. Üreyen | Daniela Palacios-Lopez | T. Esch
[1] T. Esch,et al. Large-area assessment of impervious surface based on integrated analysis of single-date Landsat-7 images and geospatial vector data , 2009 .
[2] Ferri Stefano,et al. Operating procedure for the production of the Global Human Settlement Layer from Landsat data of the epochs 1975, 1990, 2000, and 2014 , 2016 .
[3] Annekatrin Metz,et al. Dimensioning urbanization – An advanced procedure for characterizing human settlement properties and patterns using spatial network analysis , 2014 .
[4] Iain Stewart,et al. Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities , 2015, ISPRS Int. J. Geo Inf..
[5] Hannes Taubenböck,et al. TanDEM-X mission—new perspectives for the inventory and monitoring of global settlement patterns , 2012 .
[6] Hansheng Wang,et al. Spatiotemporal Characterization of Land Subsidence and Uplift (2009-2010) over Wuhan in Central China Revealed by TerraSAR-X InSAR Analysis , 2016, Remote. Sens..
[7] Andreas Schenk,et al. Delineation of Urban Footprints From TerraSAR-X Data by Analyzing Speckle Characteristics and Intensity Information , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[8] Jean-Marie Nicolas,et al. 3D Monitoring of Buildings Using TerraSAR-X InSAR, DInSAR and PolSAR Capacities , 2017, Remote. Sens..
[9] Martin Boettcher,et al. Processing Management Tools for Earth Observation Products at DLR-DFD , 2001 .
[10] Massimiliano Pittore,et al. Large-area settlement pattern recognition from Landsat-8 data , 2016 .
[11] Mingsheng Liao,et al. Health Diagnosis of Major Transportation Infrastructures in Shanghai Metropolis Using High-Resolution Persistent Scatterer Interferometry , 2017, Sensors.
[12] Achim Roth,et al. TerraSAR-X: How can high resolution SAR data support the observation of urban areas? , 2005 .
[13] Alberto Gianoli,et al. Towards the Development of an Integrated Sustainability and Resilience Benefits Assessment Framework of Urban Green Growth Interventions , 2016 .
[14] D. Civco,et al. Mapping urban areas on a global scale: which of the eight maps now available is more accurate? , 2009 .
[15] Xin Xu,et al. Individual Building Extraction from TerraSAR-X Images Based on Ontological Semantic Analysis , 2016, Remote. Sens..
[16] Andreas Schenk,et al. Characterization of Land Cover Types in TerraSAR-X Images by Combined Analysis of Speckle Statistics and Intensity Information , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[17] Xinwu Li,et al. Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province , 2013, Remote. Sens..
[18] Paolo Gamba,et al. A robust approach to global urban area extent extraction using ASAR Wide Swath Mode data , 2012, 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).
[19] R. Sibson,et al. A brief description of natural neighbor interpolation , 1981 .
[20] L. Dijkstra,et al. Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping , 2017 .
[21] Un Desa. Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .
[22] T. Esch,et al. Breaking new ground in mapping human settlements from space – The Global Urban Footprint , 2017, 1706.04862.
[23] Paolo Gamba,et al. Spaceborne SAR data for global urban mapping at 30 m resolution using a robust urban extractor , 2015 .
[24] Ryosuke Shibasaki,et al. An Automated Method for Global Urban Area Mapping by Integrating ASTER Satellite Images and GIS Data , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[25] Annekatrin Metz,et al. EARTH OBSERVATION-SUPPORTED SERVICE PLATFORM FOR THE DEVELOPMENT AND PROVISION OF THEMATIC INFORMATION ON THE BUILT ENVIRONMENT – THE TEP-URBAN PROJECT , 2016 .
[26] T. Lützkendorf,et al. Assessing a sustainable urban development: typology of indicators and sources of information. Abstract , 2016 .
[27] Xiaoping Liu,et al. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform , 2018 .
[28] Chun-Jen Chen,et al. A linear-time component-labeling algorithm using contour tracing technique , 2004, Comput. Vis. Image Underst..
[29] Thomas Esch,et al. Exploiting big earth data from space – first experiences with the timescan processing chain , 2018 .
[30] Ab Halim Abu Bakar,et al. A Framework for Assessing the Sustainable Urban Development , 2013 .
[31] Hannes Taubenböck,et al. Validation of the DLR Global Urban Footprint in rural areas: A case study for Burkina Faso , 2017, 2017 Joint Urban Remote Sensing Event (JURSE).
[32] Olivier Arino,et al. Global Land Cover Map for 2009 (GlobCover 2009) , 2012 .
[33] Carsten Brockmann,et al. Calvalus: Full-mission EO cal/val, processing and exploitation services , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.
[34] Thomas Esch,et al. Monitoring of Urban Environments with TerraSAR-X Data , 2007 .
[35] Hannes Taubenböck,et al. How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe , 2016 .
[36] Thomas Esch,et al. Urban Footprint Processor—Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission , 2013, IEEE Geoscience and Remote Sensing Letters.
[37] Martin Habermeyer,et al. W42 - a scalable spatial database system for holding Digital Elevation Models , 2009, 2009 17th International Conference on Geoinformatics.
[38] M. Friedl,et al. Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. , 2010 .
[39] Michael Dixon,et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .
[40] Thomas Esch,et al. A novel method for building height estmation using TanDEM-X data , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.