DOI: 10.1016/j.jag.2015.04.009
Scopus记录号: 2-s2.0-84943634418
论文题名: Rapid detection of new and expanding human settlements in the Limpopo province of South Africa using a spatio-temporal change detection method
作者: Kleynhans W ; , Salmon B ; P ; , Wessels K ; J ; , Olivier J ; C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 40 起始页码: 74
结束页码: 80
语种: 英语
英文关键词: Autocorrelation
; Change detection
; Hyper-temporal
; Settlements
; Time-series
Scopus关键词: algorithm
; detection method
; land cover
; land use change
; probability
; satellite data
; satellite imagery
; Limpopo
; South Africa
英文摘要: Recent development has identified the benefits of using hyper-temporal satellite time series data for land cover change detection and classification in South Africa. In particular, the monitoring of human settlement expansion in the Limpopo province is of relevance as it is the one of the most pervasive forms of land-cover change in this province which covers an area of roughly 125 000km2. In this paper, a spatiotemporal autocorrelation change detection (STACD) method is developed to improve the performance of a pixel based temporal Autocorrelation change detection (TACD) method previously proposed. The objective is to apply the algorithm to large areas to detect the conversion of natural vegetation to settlement which is then validated by an operator using additional data (such as high resolution imagery). Importantly, as the objective of the method is to indicate areas of potential change to operators for further analysis, a low false alarm rate is required while achieving an acceptable probability of detection. Results indicate that detection accuracies of 70% of new settlement instances are achievable at a false alarm rate of less than 1% with the STACD method, an improvement of up to 17% compared to the original TACD formulation. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79533
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa; Department of Geography, University of Pretoria, South Africa; Remote Sensing Research Unit, Meraka Institute, CSIR, South Africa; School of Engineering, University of Tasmania, Australia
Recommended Citation:
Kleynhans W,, Salmon B,P,et al. Rapid detection of new and expanding human settlements in the Limpopo province of South Africa using a spatio-temporal change detection method[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,40