University Of Tasmania

File(s) under permanent embargo

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

conference contribution
posted on 2023-05-23, 09:04 authored by Kleynhans, W, Brian SalmonBrian Salmon, Wessels, KJ
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.


Publication title

Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS)






School of Engineering



Place of publication

United States of America

Event title

International Geoscience and Remote Sensing Symposium 2014

Event Venue

Quebec, Canada

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2014 the authors

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering

Usage metrics

    University Of Tasmania