2012
DOI: 10.1080/10106049.2012.657695
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Built-up and vegetation extraction and density mapping using WorldView-II

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Cited by 45 publications
(21 citation statements)
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“…The grid size was approached based on the approximate size of one rukun tetangga (RT) or block in Bandung city that consists of about 30-75 houses (each house estimated as about 72 m 2 ) according to the city regulations. This method was a modification from that used by Kumar et al, who applied a 100 m × 100 m grid for built-up land density [34,40]. The incidence of the disease was then obtained and used for analyzing DDP using Hotspot analysis or Getis-Ord Gi (GiZ) in ArcGIS 10.1 toolbox that can output numeric continuous data and which can identify statistically significant hotspots, random and also dispersed patterns [1,41].…”
Section: Discussionmentioning
confidence: 99%
“…The grid size was approached based on the approximate size of one rukun tetangga (RT) or block in Bandung city that consists of about 30-75 houses (each house estimated as about 72 m 2 ) according to the city regulations. This method was a modification from that used by Kumar et al, who applied a 100 m × 100 m grid for built-up land density [34,40]. The incidence of the disease was then obtained and used for analyzing DDP using Hotspot analysis or Getis-Ord Gi (GiZ) in ArcGIS 10.1 toolbox that can output numeric continuous data and which can identify statistically significant hotspots, random and also dispersed patterns [1,41].…”
Section: Discussionmentioning
confidence: 99%
“…e Haid and Treter, 2004;Illgen, 2000. f Krause, 1989;Kumar et al, 2012. g Hecht et al, 2008Pohl, 1991;Schulze et al, 1984 …”
Section: Urban Ecological Indicatorsunclassified
“…These analyses have been constrained by the limited spectral resolution characterising the broad multi-spectral bands of these satellite systems. They only allow reliable differentiation between non-vegetated and vegetated urban surfaces and thus solely enable the automated derivation of vegetation-focussed urban ecological indicators, such as the vegetation density value (e.g., Kumar et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Characterisation of the urban landscape can positively benefit from the vertical stratification of urban vegetation (Kumar, Pandey, & Jeyaseelan, 2012; Tenedorio, Encarnacao, Estanqueiro, & Rocha, 2006). Vegetation height in urban areas provides critical added value in many applications including utility planning, development or redevelopment of green infrastructure, green space management or biodiversity assessment and monitoring.…”
Section: Introductionmentioning
confidence: 99%
“…Vegetation height in urban areas provides critical added value in many applications including utility planning, development or redevelopment of green infrastructure, green space management or biodiversity assessment and monitoring. This potential gain in information highlights the importance of three-dimensional (3D) representation of urban vegetation and poses high demand for 3D vegetation inventory and mapping (Kumar et al, 2012; Ren et al, 2014). Obtaining height information for vegetation in greater extent is challenging and has been rarely done for urban areas (Qayyum et al, 2015; Van Delm & Gulinck, 2011).…”
Section: Introductionmentioning
confidence: 99%