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12篇 您的检索式:作者名="Sergio Freire"
    题名 作者 年代 出处 被引量
1Enhanced data and methods for improving open and free global population grids:putting‘leaving noonebehind’into practice显示文摘Data on global population distribution are a strategic resource currently in high demand in an age of new Development Agendas that call for universal inclusiveness of people.However,quality,detail,and age of census data varies significantly by country and suffers from shortcomings that propagate to derived population grids and their applications.In this work,the improved capabilities of recent remote sensing-derived global settlement data to detect and mitigate major discrepancies with census data is explored.Open layers mapping builtup presence were used to revise census units deemed as‘unpopulated’and to harmonize population distribution along coastlines.Automated procedures to detect and mitigate these anomalies,while minimizing changes to census geometry,preserving the regional distribution of population,and the overall counts were developed,tested,and applied.The two procedures employed for the detection of deficiencies in global census data obtained high rates of true positives,after verification and validation.Results also show that the targeted anomalies were significantly mitigated and are encouraging for further uses of free and open geospatial data derived from remote sensing in complementing and improving conventional sources of fundamental population statistics.Sergio Freire Marcello Schiavina Aneta J.Florczyk Kytt MacManus Martino Pesaresi Christina Corbane Olena Borkovska Jane Mills Linda Pistolesi John Squires Richard Sliuzas 2020International Journal of Digital Earth2020,13,1:3
2Hematological and Hepatic Alterations in Brazilian Population Heavily Exposed to Organochlorine Pesticides显示文摘Carmen Freire Rosalina Jorge Koifman Sergio Koifman 2015Journal of Toxicology and Environmental Health, Part A2015,,8:1
3Application of singular value decomposition to vertical seismic profiling显示文摘Sergio IJ M Freire Tad J Ulrych 1988Geo- physics1988,53,6:1
4Modeling of SpatiotemporalDistribution of Urban Population at High Resolution-Value forRisk Assessment and Emergency Management显示文摘Sergio Freire 2010GeographicInformation and Cartography for Risk and Crisis Management Lecture Notes in Geoinformation and Cartography2010,1,:1
5Peroxisome proliferator-activated receptors alpha and gamma2 polymorphisms in nonalcoholic fatty liver disease: A study in Brazilian patients显示文摘Fernanda Aparecida Domenici Maria José Franco Brochado Ana de Lourdes Candolo Martinelli Sergio Zucoloto Selma Freire de Carvalho da Cunha Helio Vannucchi 2013Gene2013,,:1
6Application of singular value decomposition to vertical seismic profiling显示文摘Sergio L M Freire Tad J Ulrych 1988Geophys ics1988,53,6:1
7Application of singular value de-composition to vertical seismic profiling显示文摘Sergio L M Freire Tad J Ulrych 1988Geophysics1988,53,6:1
8Methylenetetrahydrofolate Reductase Gene Polymorphism and Serum Homocysteine Levels in Nonalcoholic Fatty Liver Disease显示文摘Franco Brochado Maria José Domenici Fernanda Aparecida Candolo Martinelli Ana De Lourdes Zucoloto Sergio De Carvalho Da Cunha Selma Freire Vannucchi Helio 2013Annals of Nutrition & Metabolism2013,,3:1
9Application of singular value decomposition to vertical seismic profiling显示文摘Sergio L M Freire S L M Ulrych T J 1998Geophysics1998,53,6:1
10Application of singular value decomposition to vertical seismic profiling显示文摘Sergio L M Freire Tad J Ulrych 1988Geophysics1988,53,6:1
11Peroxisome proliferator-activated receptors alpha and gamma2 polymorphisms in nonalcoholic fatty liver disease: A study in Brazilian patients显示文摘Fernanda Aparecida Domenici Maria José Franco Brochado Ana de Lourdes Candolo Martinelli Sergio Zucoloto Selma Freire de Carvalho da Cunha Helio Vannucchi 2013Gene2013,,:1
12The grey-green divide:multi-temporal analysis of greenness across 10,000 urban centres derived from the Global Human Settlement Layer(GHSL)显示文摘The presence of green spaces within city centres has been recognized as a valuable component of the city landscape.Vegetation provides a variety of benefits including energy saving,improved air quality,reduced noise pollution,decreased ambient temperature and psychological restoration.Evidence also shows that the amount of vegetation,known as‘greenness’,in densely populated areas,can also be an indicator of the relative wealth of a neighbourhood.The‘grey-green divide’,the contrast between built-up areas with a dominant grey colour and green spaces,is taken as a proxy indicator of sustainable management of cities and planning of urban growth.Consistent and continuous assessment of greenness in cities is therefore essential for monitoring progress towards the United Nations Sustainable Development Goal 11.The availability of multi-temporal greenness information from Landsat data archives together with data derived from the city centres database of the Global Human Settlement Layer(GHSL)initiative,offers a unique perspective to quantify and analyse changes in greenness across 10,323 urban centres all around the globe.In this research,we assess differences between greenness within and outside the built-up area for all the urban centres described by the city centres database of the GHSL.We also analyse changes in the amount of green space over time considering changes in the built-up areas in the periods 1990,2000 and 2014.The results show an overall trend of increased greenness between 1990 and 2014 in most cities.The effect of greening is observed also for most of the 32 world megacities.We conclude that using simple yet effective approaches exploiting open and free global data it is possible to provide quantitative information on the greenness of cities and its changes over time.This information is of direct interest for urban planners and decision-makers to mitigate urban related environmental and social impacts.Christina Corbane Pesaresi Martino Politis Panagiotis Florczyk J.Aneta Melchiorri Michele Freire Sergio Schiavina Marcello Ehrlich Daniele Naumann Gustavo Kemper Thomas 2020International Journal of Digital Earth2020,13,1:0
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