eCite Digital Repository

A novel spatio-temporal change detection approach using hyper-temporal satellite data

Citation

Kleynhans, W and Salmon, BP and Wessels, KJ, A novel spatio-temporal change detection approach using hyper-temporal satellite data, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), 13-18 July 2014, Quebec, Canada, pp. 4208-4211. ISBN 978-147995775-0 (2015) [Refereed Conference Paper]


Preview
PDF
Restricted - Request a copy
3Mb
  

Copyright Statement

Copyright 2014 the authors

Official URL: http://www.igarss2014.org/default.asp

DOI: doi:10.1109/IGARSS.2014.6947416

Abstract

The use of hyper-temporal MODIS time-series data for the detection of land cover change in South Africa has been an active research area the last few year. This paper expands on previous studies that show that this type of data can be effectively used in the detection of new informal settlements in South Africa. In this paper, the feasibility of using the temporal evolution of the distribution of MODIS reflectance values within a pixel neighborhood to detect land cover change is evaluated. More specifically, the covariance at each time point is evaluated for a specific pixel neighborhood and MODIS band combination and the temporal evolution of the Mahalanobis distance (between each pixel’s reflectance value and the reflection distribution of the neighborhood) is calculated. The feasibility of using this derived time-series to detect land cover change was evaluated. Preliminary results indicate that using this derived time-series as opposed to the raw reflection time-series to do land cover change detection reduces false alarms in the order of 7% while maintaining above 90% accuracy.

Item Details

Item Type:Refereed Conference Paper
Keywords:autocorrelation, change detection, satellite, time series
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Signal Processing
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Salmon, BP (Dr Brian Salmon)
ID Code:92398
Year Published:2015 (online first 2014)
Deposited By:Engineering
Deposited On:2014-06-17
Last Modified:2018-04-05
Downloads:0

Repository Staff Only: item control page