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Automated global delineation of human settlements from 40 years of Landsat satellite data archives

Big Earth Data 2019年第2期3卷 140-169页

作者： Christina Corbane Martino Pesaresi Thomas Kemper Panagiotis Politis.a.eta J.Florczyk Vasileios syrris Michele Melchiorri Filip sabo Pierre soille European Commission Joint Research CentreIspraItaly arhs developments s.a. Luxembourg Engineering s.p.a RomaItaly arhs developments Italia s.r.l. MilanoItaly

This paper presents the analysis of Earth Observation data records collected between 1975 and 2014 for assessing the extent and temporal evolution of the built-up surface in the frame of the Global Human settlement Layer *** s.a.e of the information produced by the study enables the assessment of the whole continuum of human settlements from rural hamlets to *** study applies enhanced processing methods.a. compared to the first production of the GHsL baseline *** major improvements include the use of a more refined learning set on built-up areas derived from sentinel-1 data which allowed testing the added-value of incremental learning in big data ***,the new features of the GHsL built-up grids.a.d the methods.a.e described and compared with the previous ones using a reference set of building footprints for 277 areas of *** results show a gradual improvement in the accuracy measures with a gain of 3.6% in the balanced accuracy,between the first production of the GHsL baseline and the latest GHsL multitemporal built-up grids.a.validation of the multitemporal component is.a.so conducted at the global s.a.e es.a.lishing the reliability of the built-up layer across time.

关键词： Built-up area landsat global human settlement layer machine learning validation

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The Generalised settlement Area:mapping the Earth surface in the vicinity of built-up areas

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International Journal of Digital Earth 2020年第1期13卷 45-60页

作者： A.J.Florczyk M.Melchiorri J.Zeidler C.Corbane M.schiavina s.Freire F.sabo P.Politis T.Esch M.Pesaresi European Commission Joint Research Centre(JRC)Directorate for SpaceSecurity&MigrationIspraItaly Piksel s.r.l MilanoItaly German Aeros.a.e Center(DLR) German Remote Sensing Data Center(DFD)WeßlingGermany arhs developments Italia s.r.l.Milano Italy arhs developments s.a. LuxembourgLuxembourg

Geo-information on settlements from Earth Observation offers.a.base for objective and s.a.able monitoring of the evolution of cities.a.d settlements,including their location,extent and other *** this work,we deploy the best available global knowledge on the presence of human settlements.a.d built-up structures derived from Earth Observation to advance the unders.a.ding of the human presence on *** s.a.t from a concept of Generalised settlement Area to identify the Earth surface within which any built-up structure is *** further characterise the resulted map by using an agreement map among the s.a.e of the art of remote sensing products mapping built-up areas or other strictly related semantic abstractions.a. urban areas or artificial *** agreement map is formed by a grid of 1 km2,where each cell is classified according to the number of EO-derived products reporting any positive occurrence of the abstractions related to the presence of built-up *** paper describes the characteristics of the Generalised settlement Area,the differences in the agreement map across geographic regions of the world,and outlines the implications for potential users of the EO-derived products used in this study.

关键词： Generalised settlement area built-up area human settlement map agreement map

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The grey-green divide:multi-temporal analysis of greenness.a.ross 10,000 urban centres derived from the Global Human settlement Layer(GHsL)

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International Journal of Digital Earth 2020年第1期13卷 101-118页

作者： Christina Corbane Pesaresi Martino Politis Panagiotis Florczyk J.Aneta Melchiorri Michele Freire sergio schiavina Marcello Ehrlich Daniele Naumann Gus.a.o Kemper Thomas European Commission Joint Research Centre(JRC)Directorate for SpaceSecurity&MigrationIspraVAItaly arhs developments s.a. LuxembourgLuxembourg Piksel s.r.l MilanoItaly

The presence of green s.a.es within city centres has been recognized as.a.valuable component of the city *** provides.a.variety of benefits including energy saving,improved air quality,reduced noise pollution,decreased ambient temperature and psychological *** 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 ***‘grey-green divide’,the contrast between built-up areas with a dominant grey colour and green s.a.es,is taken as.a.proxy indicator of sus.a.nable management of cities.a.d planning of urban *** and continuous.a.sessment of greenness in cities is therefore essential for monitoring progress towards the United Nations sus.a.nable Development Goal *** 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.a.ross 10,323 urban centres.a.l around the *** this res.a.ch,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 *** also analyse changes in the amount of green s.a.e over time considering changes in the built-up areas in the periods 1990,2000 and *** results show an overall trend of increased greenness between 1990 and 2014 in most *** effect of greening is observed also for most of the 32 world *** 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.a.d its changes over *** information is of direct interest for urban planners.a.d decision-makers to mitigate urban related environmental and social impacts.

关键词： Global human settlement layer greenness Landsat data records degree of urbanization urban centres built-up areas sus.a.nable development goal 11

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Big earth data analytics on sentinel-1 and Landsat imagery in support to global human settlements mapping

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Big Earth Data 2017年第1期1卷 118-144页

作者： Christina Corbane Martino Pesaresi Panagiotis Politis Vasileios syrris.a.eta JFlorczyk Pierre soille Luca Maffenini Armin Burger Veselin Vasilev Dario Rodriguez Filip sabo Lewis Dijkstra Thomas Kemper European Commission Joint research Centre(JrC)Directorate for SpaceSecurity&Migrationispraitaly arhs developments s.a. rue Nicolas BovéLuxembourg European Commission Joint research Centre(JrC)Directorate for Competencesispraitaly GFt italia s.r.l. Milanoitaly arhs developments italia s.r.l. Milanoitaly European Commission Economic analysis Unit at European Commission Directorate general for regional and Urban PolicyBrusselsBelgium

Continuous global-s.a.e mapping of human settlements in the service of international agreements calls for massive volume of multi-source,multi-temporal,and multi-s.a.e earth observation *** this paper,the latest developments in terms of processing big earth observation data for the purpose of improving the Global Human settlement Layer(GHsL)data are *** experiments with sentinel-1 and Landsat data collections were run leveraging on the Joint Res.a.ch Centre Earth Observation Data and Processing Platform.A comparative analysis of the results of built-up areas extraction from different remote sensing data and processing workflows shows how the information production supported by data-intensive computing infrastructure for optimization and multiple testing can improve the output information reliability and consistency within the GHsL *** paper presents the processing workflows.a.d the results of the two main experiments,giving insights into the enhanced mapping capabilities gained by analyzing sentinel-1 and Landsat data-sets.a.d the lessons learnt in terms of handling and processing big earth observation data.

关键词： Big data built-up surfaces global human settlement layer sentinel-1 Landsat JrC earth observation and processing platform

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