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Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
2012
Remote Sensing of Environment
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Keywords: Urban remote sensing Impervious surfaces Remotely sensed data characteristics Urban mapping requirements Pixel-based algorithms Sub-pixel based algorithms Object-oriented method Artificial neural ...
Therefore, remote sensing of impervious surfaces in the urban areas has recently attracted unprecedented attention. ...
Jing Han for their assistance in research, which contributes to this review. Dr. Marvin Bauer kindly provides editing and valuable comments for improving the manuscript. ...
doi:10.1016/j.rse.2011.02.030
fatcat:x3pcns7lcfebvcyltt2ungfd7y
Can the Future EnMAP Mission Contribute to Urban Applications? A Literature Survey
2011
Remote Sensing
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This paper presents the results of a literature survey on existing applications and image analysis techniques in the context of urban remote sensing in order to identify and outline potential contributions ...
This information can subsequently be used to improve urban indicators, such as imperviousness. ...
Acknowledgements This work has been carried out in the frame of the EnMAP preparation activities and is sponsored by the Space Agency of the German Aerospace Center (DLR) through funds of the Federal Ministry ...
doi:10.3390/rs3091817
fatcat:dugumwcfgbhsbo4czvxpsiyoy4
A Comparison of Different Machine Learning Algorithms in the Classification of Impervious Surfaces: Case Study of the Housing Estate Fort Bema in Warsaw (Poland)
2022
Buildings
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The paper also provides an overview of the main works/studies dealing with impervious surface mapping, with different methods for their assessment (including the use of conventional remote sensing, NDVI ...
For this purpose, geoprocessing and remote sensing techniques were used and three classification methods for digital images were compared, namely Support Vector Machines (SVM), Maximum Likelihood (ML) ...
[7] used an approach based on the integration of remote sensing and social data in their study to estimate impervious surface. ...
doi:10.3390/buildings12122115
fatcat:y232mqkpgvg4xcm26ufhmskiua
What is Urban Remote Sensing?
[chapter]
2011
Urban Remote Sensing
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It then discusses the benefits and possible challenges of using remote sensing for urban studies, followed by an overview of the major topics discussed in the book. ...
This introductory chapter defines the scope of urban remote sensing research. ...
Chapter 17 discusses a remote sensing approach to high-resolution urban impervious surface mapping. ...
doi:10.1002/9780470979563.ch1
fatcat:ackgpwfxfvepdgyvjldibg3lve
Supporting Global Environmental Change Research: A Review of Trends and Knowledge Gaps in Urban Remote Sensing
2014
Remote Sensing
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Here we focus on OPEN ACCESS Remote Sens. 2014, 6 3880 three themes in urban remote sensing science: mapping, indices, and modeling. ...
This paper reviews how remotely sensed data have been used to understand the impact of urbanization on global environmental change. ...
[139] found the best accuracy in mapping impervious surfaces occurred when statistical tools (e.g., Impervious Surface Analysis Tool) combined remotely sensed data sources with population (e.g., US ...
doi:10.3390/rs6053879
fatcat:vv4fd5icarbsdo52sycj4nwsle
SENTINEL-2 IMAGERY FOR MAPPING AND MONITORING IMPERVIOUSNESS IN URBAN AREAS
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The density of impervious surfaces (roofs and pavement) is a key element in evaluating hydrologic processes and occurring the surface runoff – the major component of water cycle in urban catchment. ...
The Copernicus SENTINEL constellation brings out the potential to provide high quality and free of charge satellites images that enable to estimate parameters related to urban structure and imperviousness ...
In addition to high resolution (HR) data, since 2015, very high resolution (VHR) imagery was used for some of the products. ...
doi:10.5194/isprs-archives-xlii-1-w2-43-2019
fatcat:wm3ytg4vijddnaf6oesn725qli
Medium Spatial Resolution Satellite Imagery for Estimating and Mapping Urban Impervious Surfaces Using LSMA and ANN
2008
IEEE Transactions on Geoscience and Remote Sensing
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Remote sensing estimation of impervious surface is significant in monitoring urban development and determining the overall environmental health of a watershed, and it has therefore attracted more interest ...
recently in the remote sensing community. ...
Estimation and mapping impervious surfaces from remotely sensed images are challenging tasks due to the complex landscape types in urban areas and the limitation in the spatial and spectral resolutions ...
doi:10.1109/tgrs.2008.917601
fatcat:x3r724xma5clrpj4er34il55ue
A comparison of hyperspectral data and worldview-2 images to detect impervious surface
2012
2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)
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Thus detection and mapping the impervious surface accurately is one of the important tasks in urban remote sensing. ...
One of the most important issues in urban area study during these years is loss of land resources due to rapid expansion and development of urban centers and cities therefore impervious surface (IS) is ...
One of the most popular applications of remote sensing in urban area is detection of impervious surface (IS). ...
doi:10.1109/whispers.2012.6874305
dblp:conf/whispers/TaherzadehSMA12
fatcat:ahrm2mbevbdqdcvzm4e3s74tia
Landscape as a continuum: an examination of the urban landscape structures and dynamics of Indianapolis City, 1991–2000, by using satellite images
2009
International Journal of Remote Sensing
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of remote sensing and landscape ecology approach'. ...
Acknowledgements This research was supported by the National Science Foundation (BCS-0521734) in a project entitled 'Role of urban canopy composition and structure in determining heat islands: a synthesis ...
Remote sensing technology has often been applied to map land use or land cover, instead of materials. ...
doi:10.1080/01431160802552777
fatcat:qr6n664hdvaihcdntq3uyddmfi
Road Detection from Remote Sensing Images using Impervious Surface Characteristics: Review and Implication
2014
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The extraction of road network is an emerging area in information extraction from high-resolution satellite images (HRSI). ...
Some characteristics related to impervious and non-impervious surfaces are used as salient features that help to improve the extraction of road area only in the correct manner. ...
The Occurrence of challenges in impervious surfaces for road detection in remote sensing images is shown in figure 1. ...
doi:10.5194/isprsarchives-xl-8-955-2014
fatcat:7ii6ijrvhfg5fi7j4j2la2xcua
THE USE OF DEEP LEARNING IN REMOTE SENSING FOR MAPPING IMPERVIOUS SURFACE: A REVIEW PAPER
2022
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Urban development, as defined by urban expansion, mapping impervious surfaces, and built-up areas, is one of these fascinating issues. ...
In recent years, deep convolutional neural networks (CNNs) algorithms have demonstrated outstanding performance in a wide range of remote sensing applications, including image classification, image detection ...
(Núñez 2015a )suggested an automated segmentation approach based on Cellular Neural Network (CNN) for endmember recognition to urban impervious surface, which was applied to a Very High-Resolution image ...
doi:10.5194/isprs-archives-xlvi-4-w3-2021-199-2022
fatcat:7olvb2hwvva25a3wbuxbtza7ge
Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling
2007
Sensors
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Applications of remote sensing in hydrological modeling, watershed mapping, energy and water flux estimation, fractional vegetation cover, impervious surface area mapping, urban modeling and drought predictions ...
Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography ...
With the advent of high resolution imagery and more capable techniques, urban remote sensing is rapidly gaining interest in the remote sensing community. ...
doi:10.3390/s7123209
pmid:28903290
pmcid:PMC3841891
fatcat:wds5krpelfbuvki4csgi3ybu7a
Landscape Patterns and Building Functions for Urban Land-Use Classification from Remote Sensing Images at the Block Level: A Case Study of Wuchang District, Wuhan, China
2020
Remote Sensing
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based on the land-cover map, derived from remote sensing images. ...
Impervious surfaces, which occupy the majority of urban areas, have a decisive impact on land-use classes. ...
The proposed method in this study used various features derived from high-spatial-resolution remote sensing images, building outline data, and OSM road networks to map urban areas. ...
doi:10.3390/rs12111831
fatcat:ni4arfaw65fq5ltvx3466xbggm
Spatiotemporal analysis of urban environment based on the vegetation–impervious surface–soil model
2013
Journal of Applied Remote Sensing
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The vegetation-impervious surface-soil (V-I-S) model is used to quantify the ecological composition of urban/peri-urban environments with multitemporal Landsat images (3 stages, 18 scenes) and LULC data ...
The statistical results show that the urban expansion in the GTHA occurred mainly between 1985 and 1999, and only two districts revealed increasing trends for impervious surfaces for the period from 1999 ...
Multitemporal remote sensing data have been used to map urban areas and reveal urban spatial and temporal changes. ...
doi:10.1117/1.jrs.8.084597
fatcat:57dmuwicmreyhdczuroa32svxa
Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density
2018
Urban Science
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Impervious surface areas (ISA) are heavily influenced by urban structure and related structural features. ...
We examined the effects of object-based impervious surface spatial pattern analysis on land surface temperature and population density in Guangzhou, China, in comparison to classic per-pixel analyses. ...
Qingyan Meng from the Institute of Remote Sensing and Digital Earth (RADI) of the Chinese Academy of Sciences for providing the HJ-1B data. ...
doi:10.3390/urbansci2010002
fatcat:4shincgkbzhvff3ylkdxoqs4h4
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