Detection of Urban Land Use Land Cover Dynamics Using GIS and Remote Sensing: A Case Study of Axum Town, Northern Ethiopia

2019 ◽  
Vol 47 (7) ◽  
pp. 1209-1222
Author(s):  
Amare GebreMedhin ◽  
Welday Biruh ◽  
Vanum Govindu ◽  
Biadgilgn Demissie ◽  
Abadi Mehari
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Land ◽  
Urban Land Use ◽  
Northern Ethiopia ◽  
Land Use Land Cover ◽  
Gis And Remote Sensing ◽  
Land Cover Dynamics

scholarly journals Remote Sensing-Based Urban Land Use/Land Cover Change Detection and Monitoring

2017 ◽  
Vol 06 (02) ◽  
Author(s):  
Remote sensing ◽  
Land cover change ◽  
Urban areas ◽  
Change detection
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Land Cover ◽  
Land Cover Change Detection

Reviewing the Pertinence of Sentinel-1 SAR for Urban Land Use Land Cover Classification

2020 ◽  
Vol 11 (5) ◽  
pp. 529-535
Author(s):  
Dan Abudu ◽  
Nigar Sultana Parvin ◽  
Geoffrey Andogah
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Urban Areas ◽  
Land Use Changes ◽  
Land Cover Classification ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Land Cover ◽  
Sensing Technology

Conventional approaches for urban land use land cover classification and quantification of land use changes have often relied on the ground surveys and urban censuses of urban surface properties. Advent of Remote Sensing technology supporting metric to centimetric spatial resolutions with simultaneous wide coverage, significantly reduced huge operational costs previously encountered using ground surveys. Weather, sensor’s spatial resolution and the complex compositions of urban areas comprising concrete, metallic, water, bare- and vegetation-covers, limits Remote Sensing ability to accurately discriminate urban features. The launch of Sentinel-1 Synthetic Aperture Radar, which operates at metric resolution and microwave frequencies evades the weather limitations and has been reported to accurately quantify urban compositions. This paper assessed the feasibility of Sentinel-1 SAR data for urban land use land cover classification by reviewing research papers that utilised these data. The review found that since 2014, 11 studies have specifically utilised the datasets.

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