Mapping Urban Impervious Surfaces from Medium and High Spatial Resolution Multispectral Imagery

Remote Sensing Applications Series - Remote Sensing of Impervious Surfaces ◽

10.1201/9781420043754.ch4 ◽

2007 ◽

Author(s):

Dengsheng Lu ◽

Qihao Weng

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Multispectral Imagery ◽

Impervious Surfaces ◽

Urban Impervious Surfaces

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Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2019.01.013 ◽

2019 ◽

Vol 78 ◽

pp. 14-24 ◽

Author(s):

Bethany Melville ◽

Adrian Fisher ◽

Arko Lucieer

Keyword(s):

Spatial Resolution ◽

Vegetation Cover ◽

High Spatial Resolution ◽

Multispectral Imagery ◽

Fractional Vegetation Cover

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Monitoring habitat preserves in southern California using high spatial resolution multispectral imagery

Environmental Monitoring and Assessment ◽

10.1007/s10661-008-0320-8 ◽

2008 ◽

Vol 152 (1-4) ◽

pp. 343-356 ◽

Author(s):

Lloyd L. Coulter ◽

Douglas A. Stow

Keyword(s):

Spatial Resolution ◽

Southern California ◽

High Spatial Resolution ◽

Multispectral Imagery

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Medium Spatial Resolution Satellite Imagery for Estimating and Mapping Urban Impervious Surfaces Using LSMA and ANN

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2008.917601 ◽

2008 ◽

Vol 46 (8) ◽

pp. 2397-2406 ◽

Author(s):

Qihao Weng ◽

Xuefei Hu

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

Impervious Surfaces ◽

Urban Impervious Surfaces

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An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery

Canadian Journal of Remote Sensing ◽

10.5589/m02-098 ◽

2003 ◽

Vol 29 (2) ◽

pp. 230-240 ◽

Author(s):

Limin Yang ◽

Chengquan Huang ◽

Collin G Homer ◽

Bruce K Wylie ◽

Michael J Coan

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Impervious Surfaces ◽

Landsat 7 ◽

High Spatial Resolution Imagery

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Effects of spatial resolution of remotely sensed data on estimating urban impervious surfaces

Journal of Environmental Sciences ◽

10.1016/s1001-0742(10)60541-4 ◽

2011 ◽

Vol 23 (8) ◽

pp. 1375-1383 ◽

Author(s):

Weifeng Li ◽

Zhiyun Ouyang ◽

Weiqi Zhou ◽

Qiuwen Chen

Keyword(s):

Spatial Resolution ◽

Remotely Sensed ◽

Impervious Surfaces ◽

Remotely Sensed Data ◽

Urban Impervious Surfaces

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Terrain classification in urban wetlands with high-spatial-resolution multispectral imagery

10.1117/12.465161 ◽

2003 ◽

Author(s):

Richard C. Olsen ◽

Jamada J. Garner ◽

Eric J. Van Dyke

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Urban Wetlands ◽

Multispectral Imagery ◽

Terrain Classification

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Automated mapping of impervious surfaces in urban and suburban areas: Linear spectral unmixing of high spatial resolution imagery

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2016.09.006 ◽

2017 ◽

Vol 54 ◽

pp. 53-64 ◽

Author(s):

Jian Yang ◽

Yuhong He

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Spectral Unmixing ◽

Impervious Surfaces ◽

Automated Mapping ◽

Suburban Areas ◽

Linear Spectral Unmixing ◽

High Spatial Resolution Imagery

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Characterization of vegetation biophysical components using ultra-high spatial resolution multispectral imagery acquired by drones and small aircraft

10.1603/ice.2016.105038 ◽

2016 ◽

Author(s):

Kevin P. Price

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Multispectral Imagery ◽

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Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2013.2268968 ◽

2014 ◽

Vol 11 (2) ◽

pp. 489-493 ◽

Author(s):

Hua Zhang ◽

Wenzhong Shi ◽

Yunjia Wang ◽

Ming Hao ◽

Zelang Miao

Keyword(s):

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Multispectral Imagery ◽

Field Approach ◽

Markov Random ◽

Spatial Attraction

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Satellite high-spatial-resolution multispectral imagery for crop type identification using Sentinel Application Platform and R software

Journal of Physics Conference Series ◽

10.1088/1742-6596/1679/3/032046 ◽

2020 ◽

Vol 1679 ◽

pp. 032046

Author(s):

Boris Boiarskii

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Multispectral Imagery ◽

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