Observations of urban and suburban environments with global satellite scatterometer data

Nghiem, S. V.; Balk, Deborah; Rodríguez, Edith; Neumann, Gregory A.; Sorichetta, Alessandro; Small, Christopher; Elvidge, Christopher D.

doi:10.1016/j.isprsjprs.2009.01.004

Cited by 48 publications

(45 citation statements)

References 28 publications

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“…Radar backscatter data have been acquired by the SeaWinds scatterometer aboard the QuikSCAT satellite, from 2000 to 2009, and, together with the Dense Sampling Method (QSCAT-DSM; Nghiem et al 2009), have been used to identify and map urban extent and surface features at a posting scale of about 1 km². The worldwide coverage and the continuous data collection in the decade of 2000s allow the delineation of urban and suburban contours both in metropolitan and rural areas and the identification of urban development both fast and expansive or slow and restrained (Nghiem et al 2009). …”

Section: Explanatory Variablesmentioning

confidence: 99%

Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

2017

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Riassunto: Le acque sotterranee sono tra le più importanti risorse di acqua potabile. A livello mondiale, gli acquiferi sono sottoposti ad una crescente minaccia di inquinamento legato all'urbanizzazione, allo sviluppo industriale, alle attività agricole ed alle imprese minerarie. Quindi sono ampiamente richieste azioni, strategie e soluzioni pratiche per proteggere le acque sotterranee da queste fonti antropiche. Lo strumento più utile, a supporto della pianificazione territoriale e protezione delle acque sotterranee dalla contaminazione, è rappresentato dalla valutazione della vulnerabilità degli acquiferi. Sono stati sviluppati diversi metodi per la valutazione della vulnerabilità degli acquiferi nel corso degli anni: metodi a zonazione omogenea o a pesi e punteggi, metodi statistici e metodi numerici. Tutti questi strumenti sono utili per sintetizzare informazioni idrogeologiche complesse in un unico documento, come le mappe di vulnerabilità, utilizzabili sia da tecnici, amministratori e politici, che da scienziati e cittadini. Sebbene non sia possibile identificare un approccio che possa essere il migliore in tutte le situazioni, il prodotto finale deve essere sempre scientificamente provato, significativo ed affidabile. Ciò nonostante, diversi metodi possono produrre risultati molto differenti in qualsiasi caso di studio. Perciò è necessario approfondire le ragioni di similitudini e differenze.Questo studio dimostra l'affidabilità e la versatilità di un metodo statistico-spaziale per la valutazione della vulnerabilità degli acquiferi alla contaminazione a scala regionale. Il caso di studio della pianura lombarda è particolarmente interessante per la sua lunga storia di monitoraggio quantitativo e qualitativo delle acque sotterranee, la disponibilità di dati idrogeologici e la combinata presenza di diverse sorgenti antropiche di contaminazione. Aggiornamenti recenti del Piano di Tutela delle Acque hanno sollevato la necessità di realizzare mappe di vulnerabilità degli acquiferi più versatili, affidabili e veritiere. Un confronto tra mappe di vulnerabilità degli acquiferi ottenute da approcci differenti e realizzati in un intervallo di tempo di diversi anni ha dimostrato l'importanza del continuo progresso scientifico, riconoscendo pregi e difetti di ciascuna ricerca.

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Section: Explanatory Variablesmentioning

confidence: 99%

Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

2017

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“…QSCAT backscatter measurement is accurate to 0.2 dB (3-σ; Nghiem et al 2004), which is equivalent to approximately 1.57 % in root-mean-square error, enabling QSCAT to detect not only large and rapid changes as well as small and slow variations. Applied on the original QSCAT backscatter data, the dense sampling method (DSM), based on a newly invented mathematical transform called Rosette Transform (Nghiem et al 2009), is a breakthrough enabling quantitative measurements of urban parameters (i.e., location, shape, extent, and typology) to map land cover features at a posting pixel scale of 1 km 2 , and to calculate the rate of urban change in the decadal period of 2000-2009 in every pixel across the world. In DSM, backscatter signature of an area is characterized by the composition of a spatially dependent mean part and a fluctuation part that is a function of location, azimuth angle (buildings are different on different sides; roads have preferential directions; hilly surfaces in a city, etc.…”

Section: Evidential Themesmentioning

confidence: 99%

“…Moreover, advantages of QSCAT-DSM (Nghiem et al 2009) include the delineation of urban and suburban contours both in metropolitan and rural areas, and the identification of urban development both fast and expansive or slow and restrained. Some limitations are due to complex mountainous topography, persistent snow cover on cold land at high latitudes (e.g., tundra and taiga), or extensive water surfaces, which affect backscatter signatures, but such factors are ineffective in the study area.…”

Section: Evidential Themesmentioning

confidence: 99%

“…The use of an innovative dataset to delineate urban areas with satellite scatterometer data has been explored to identify zones where different rates of urban growth occurred across the entire study area, and in which an increase of potential urban sources may exist and consequently impact groundwater. Radar backscatter data acquired by the SeaWinds scatterometer aboard the QuikSCAT satellite together with the Dense Sampling Method (QSCAT-DSM; Nghiem et al 2009) have been used to identify and map urban extent and surface features at a posting scale of about 1 km 2 . QSCAT-DSM results are to be compared with those obtained from two different sources of urban information: (1) changes of population density and (2) changes in land use derived from high-resolution aerial images acquired in different years.…”

Section: Introductionmentioning

confidence: 99%

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Groundwater vulnerability maps derived from a time-dependent method using satellite scatterometer data

et al. 2015

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Introducing the time variable in groundwater vulnerability assessment is an innovative approach to study the evolution of contamination by non-point sources and to forecast future trends. This requires a determination of the relationship between temporal changes in groundwater contamination and in land use. Such effort will enable breakthrough advances in mapping hazardous areas, and in assessing the efficacy of land-use planning for groundwater protection. Through a Bayesian spatial statistical approach, time-dependent vulnerability maps are derived by using hydrogeological variables together with three different time-dependent datasets: population density, high-resolution urban survey, and satellite QuikSCAT (QSCAT) data processed with the innovative dense sampling method (DSM). This approach is demonstrated extensively over the Po Plain in Lombardy region (northern Italy). Calibrated and validated maps show physically consistent relations between the hydrogeological variables and nitrate trends. The results indicate that changes of urban nitrate sources are strongly related to groundwater deterioration. Among the different datasets, QSCAT-DSM is proven to be the most efficient dataset to represent urban nitrate sources of contamination, with major advantages: a worldwide coverage, a continuous decadal data collection, and an adequate resolution without spatial gaps. This study presents a successful approach that, for the first time, allows the inclusion of the time dimension in groundwater vulnerability assessment by using innovative satellite remote sensing data for quantitative statistical analyses of groundwater quality changes.

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“…Subsequently, the co-authors of these two authors are important in the co-author network. Nghiem proposed a sampling method to improve the spatial resolution of the DMSP/OLS dataset, helping analyze suburban structures [41]. Although a new NTL data source was provided by S-NPP VIIRS with a spatial resolution of 750 m, this resolution is not good enough if the analysis demands more details.…”

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confidence: 99%

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

Guan

et al. 2017

Remote Sensing

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Abstract:In this paper, we conducted a scientometric analysis based on the Night-Time Light (NTL) remote sensing related literature datasets retrieved from Science Citation Index Expanded and Social Science Citation Index in Web of Science core collection database. Using the methods of bibliometric and Social Network Analysis (SNA), we drew several conclusions: (1) NTL related studies have become a research hotspot, especially after 2011 when the second generation of NTL satellites, the Suomi National Polar-orbiting Partnership (S-NPP) Satellite with the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor was on board. In the same period, the open-access policy of the long historical dataset of the first generation satellite Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) started. (2) Most related studies are conducted by authors from USA and China, and the USA takes the lead in the field. We identified the biggest research communities constructed by co-authorships and the related important authors and topics by SNA. (3) By the visualization and analysis of the topic evolution using the co-word and co-cited reference networks, we can clearly see that: the research topics change from hardware oriented studies to more real-world applications; and from the first generation of the satellite DMSP/OLS to the second generation of satellite S-NPP. Although the Day Night Band (DNB) of the S-NPP exhibits higher spatial and radiometric resolution and better calibration conditions than the first generation DMSP/OLS, the longer historical datasets in DMSP/OLS are still important in long-term and large-scale human activity analysis. (4) In line with the intuitive knowledge, the NTL remote sensing related studies display stronger connections (such as interpretive frame, context, and academic purpose) to the social sciences than the general remote sensing discipline. The citation trajectories are visualized based on the dual-maps, thus the research preferences for combining the environmental, ecological, economic, and political science disciplines are clearly exhibited. Overall, the picture of the NTL remote sensing research is presented from the scientist-level, topic-level, and discipline-level interactions. Based on these analyses, we also discuss the possible trends in the future work, such as combining NTL studies with social science research and social media data.

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Observations of urban and suburban environments with global satellite scatterometer data

Cited by 48 publications

References 28 publications

Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

Groundwater vulnerability assessment: from overlay methods to statistical methods in the Lombardy Plain area

Groundwater vulnerability maps derived from a time-dependent method using satellite scatterometer data

A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016

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