2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) 2017
DOI: 10.1109/wiecon-ece.2017.8468898
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Land Use/ Land Cover Classification of Google Earth Imagery

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Cited by 7 publications
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“…Successful application of remote sensing methods depends on spatial, temporal, and spectral resolution of data of which access may be limited by high costs for image products [43,44]. Thus, usage of freely available long-term time series of true-color Google Earth TM (GE) imagery with high spatial and temporal resolution might offer an alternative for analysis of lake cover variations, when compared to common commercial or lower resolution multispectral image products [44][45][46]. For Bangalore's wetlands, published remote sensing research mainly focused on wetland degradation, including the spatial reduction, encroachment, and disappearance of wetlands [47].…”
Section: Introductionmentioning
confidence: 99%
“…Successful application of remote sensing methods depends on spatial, temporal, and spectral resolution of data of which access may be limited by high costs for image products [43,44]. Thus, usage of freely available long-term time series of true-color Google Earth TM (GE) imagery with high spatial and temporal resolution might offer an alternative for analysis of lake cover variations, when compared to common commercial or lower resolution multispectral image products [44][45][46]. For Bangalore's wetlands, published remote sensing research mainly focused on wetland degradation, including the spatial reduction, encroachment, and disappearance of wetlands [47].…”
Section: Introductionmentioning
confidence: 99%