2006
DOI: 10.1080/01431160500377162
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An integrated evaluation of landscape change using remote sensing and landscape metrics: a case study of Panyu, Guangzhou

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Cited by 63 publications
(42 citation statements)
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“…The land use transition matrix is a useful tool that has been widely accepted in land use change analysis [11,16]. Three land use transition map layers for the years 1967-1978, 1978-1991, and 1991-2000 were prepared for the detailed land use change pattern analysis in the valley.…”
Section: Analysis Of Spatial Patternsmentioning
confidence: 99%
See 1 more Smart Citation
“…The land use transition matrix is a useful tool that has been widely accepted in land use change analysis [11,16]. Three land use transition map layers for the years 1967-1978, 1978-1991, and 1991-2000 were prepared for the detailed land use change pattern analysis in the valley.…”
Section: Analysis Of Spatial Patternsmentioning
confidence: 99%
“…A wide range of urban remote sensing applications from both sensors (active and passive) is currently available. These include quantifying urban growth and land use dynamics [1,10], landscape pattern analysis [11,16,17], urbanization [8], socioeconomic applications [18], life quality improvement [19], urban infrastructure characterization [7], microclimate and hydrology [20], and topographic mapping [21].…”
Section: Introductionmentioning
confidence: 99%
“…While the first LCM was used to select a natural area before development, the second LCM was used to identify the completion of development at project sites. In the initial stage, 17 potential landscape metrics that are frequently used in fragmentation analysis [27][28][29][30][31] were used to accurately detect land cover changes, and a list of the tested metrics is shown in Table 1. Table 1.…”
Section: Fragmentation Analysismentioning
confidence: 99%
“…These maps were obtained from Landsat Multispectral Scanner (MSS) for 1975 and Thematic Mapper (TM) for other years. Images were processed in ERDAS-IM-AGE (version 9.2) using hybrid classification, composed by an unsupervised followed by a supervised methodology (Yu & Ng, 2006). The accuracy assessment was performed for 2007 by calculating overall accuracy and Kappa index using 287 ground truth points.…”
Section: Primary Vegetation Mappingmentioning
confidence: 99%