Built-up area and population density: Two Essential Societal Variables to address climate hazard impact
暂无分享,去创建一个
Martino Pesaresi | Christina Corbane | Thomas Kemper | Daniele Ehrlich | M. Pesaresi | C. Corbane | T. Kemper | D. Ehrlich | M. Pesaresi | T. Kemper
[1] M. Fischer-Kowalski,et al. Society's Metabolism , 1998 .
[2] A. Tatem,et al. Detecting Change in Urban Areas at Continental Scales with MODIS Data , 2015 .
[3] M. Pelling,et al. Determinants of risk: Exposure and vulnerability , 2012 .
[4] G. McBean,et al. Climate change, related hazards and human settlements , 2009 .
[5] Helmut Haberl,et al. A socio‐metabolic transition towards sustainability? Challenges for another Great Transformation , 2011 .
[6] David W. Cash,et al. Knowledge systems for sustainable development , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[7] Mario Giampietro,et al. The energetic metabolism of societies and the degrowth paradigm: analyzing biophysical constraints and realities , 2013 .
[8] Sérgio Freire,et al. Combining GHSL and GPW to improve global population mapping , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[9] Noah Webster,et al. Webster's ninth new collegiate dictionary , 2012 .
[10] P. Newton,et al. Human settlements , 2020 .
[11] A. Simmons,et al. The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy , 2014 .
[12] C. Woodcock,et al. The factor of scale in remote sensing , 1987 .
[13] Un Desa. Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .
[14] Urban Areas , 2019, Soil Degradation, Restoration and Management in a Global Change Context.
[15] P. Gleick,et al. Systems integration for global sustainability , 2015, Science.
[16] Martino Pesaresi,et al. A New Method for Earth Observation Data Analytics Based on Symbolic Machine Learning , 2016, Remote. Sens..
[17] K. Seto,et al. The impact of urbanization on water vulnerability: A coupled human- environment system approach for Chennai, India , 2013 .
[18] W. Haas,et al. More Energy and Less Work, but New Crises: How the Societal Metabolism-Labour Nexus Changes from Agrarian to Industrial Societies , 2017 .
[19] Thomas A. Hennig,et al. The Shuttle Radar Topography Mission , 2001, Digital Earth Moving.
[20] Helen Crowley,et al. Global assessment of human losses due to earthquakes , 2014 .
[21] A. Neef,et al. Sustainable development and the water–energy–food nexus: A perspective on livelihoods , 2015 .
[22] C. Field,et al. Adaptation Needs and Options , 2014 .
[23] F. Chapin,et al. A safe operating space for humanity , 2009, Nature.
[24] G. Baldassarre,et al. Drought and flood in the Anthropocene: feedback mechanisms in reservoir operation , 2017 .
[25] D. Roberts,et al. Census from Heaven: An estimate of the global human population using night-time satellite imagery , 2001 .
[26] M. Montgomery. The Urban Transformation of the Developing World , 2008, Science.
[27] Elinor Ostrom,et al. Coupled Human and Natural Systems , 2007, Ambio.
[28] Sérgio Freire,et al. Unveiling 25 Years of Planetary Urbanization with Remote Sensing: Perspectives from the Global Human Settlement Layer , 2018, Remote. Sens..
[29] J. E. Dobson,et al. LandScan: A Global Population Database for Estimating Populations at Risk , 2000 .
[30] Paolo Gamba,et al. Spatial aspects of building and population exposure data and their implications for global earthquake exposure modeling , 2013, Natural Hazards.
[31] B. Markham,et al. Forty-year calibrated record of earth-reflected radiance from Landsat: A review , 2012 .
[32] Danièle Revel,et al. Cities and climate change : an urgent agenda , 2011 .
[33] M. Friedl,et al. Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. , 2010 .
[34] Catherine Linard,et al. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data , 2015, PloS one.
[35] R. Nicholls,et al. Future flood losses in major coastal cities , 2013 .
[36] Ghassem R. Asrar,et al. Challenges and Opportunities in Water Cycle Research: WCRP Contributions , 2014, Surveys in Geophysics.
[37] A. Inaba,et al. Human Settlements, Infrastructure and Spatial Planning , 2014 .
[38] Peng Gong,et al. Global land cover mapping using Earth observation satellite data: Recent progresses and challenges , 2015 .
[39] Paul H. Brunner,et al. Metabolism of the Anthroposphere: Analysis, Evaluation, Design , 2012 .
[40] E. Ostrom,et al. The globalization of socio-ecological systems: An agenda for scientific research , 2006 .
[41] A. Schneider,et al. A critical look at representations of urban areas in global maps , 2007 .
[42] Elisabeth Krausmann,et al. A qualitative Natech damage scale for the impact of floods on selected industrial facilities , 2008 .
[43] L. Alfieri,et al. GloFAS – global ensemble streamflow forecasting and flood early warning , 2012 .
[44] R. Kasperson,et al. A framework for vulnerability analysis in sustainability science , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[45] Siragusa Alice,et al. Atlas of the Human Planet 2017: Global Exposure to Natural Hazards , 2017 .
[46] E. Lambin,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:Global land use change, economic globalization, and the looming land scarcity , 2011 .
[47] Ehrlich Daniele,et al. Social Levels And Hazard (In)Dipendence in Determining Vulnerability , 2006 .
[48] Claudia Kuenzer,et al. Vulnerability assessments of coastal river deltas - categorization and review , 2015, Journal of Coastal Conservation.
[49] S I Hay,et al. Determining global population distribution: methods, applications and data. , 2006, Advances in parasitology.
[50] P. Ericksen. Conceptualizing food systems for global environmental change research , 2008 .
[51] E. Hertwich,et al. Affluence drives the global displacement of land use , 2013 .
[52] Huadong Guo,et al. A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.