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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5170

Title: Can linear trend analyses of NDVI time series data truly detect land degradation? Simulations may provide the answer
Authors: Wessels, KJ
Van den Bergh, F
Scholes, RJ
Miteffa, S
Keywords: Remote sensing
Regional desertificatio
AVHRR
NDVI
Desertification
Land degradation
Linear trends
South African Lowveld
Issue Date: Apr-2011
Citation: Wessels, KJ, Van den Bergh, F, Scholes, RJ. 2011. Can linear trend analyses of NDVI time series data truly detect land degradation? Simulations may provide the answer. 34th International Symposium for Remote Sensing of Environment. Sydney Convention & Exhibition Centre Sydney, Australia, 10-15 April 2011
Series/Report no.: Workflow request;7223
Abstract: There has been a recent proliferation of remote sensing-based trend analysis for monitoring regional desertification. These show contradictory results. All of them claim to have been “validated” through expert interpretation, in the absence of sufficient field data. The authors suggest that such an approach is not sufficiently rigorous. Therefore, they demonstrate an approach which simulates land degradation so that the intensity, rate and timing of the reduction in NDVI can be controlled, in order to quantitatively evaluate the ability of methods to detect these known changes. The results show that linear trend analysis is rather insensitive to previously observed levels of NDVI reduction due to degradation in the well-studied communal lands in the Lowveld of South Africa. The period of investigation, has a large but rather unpredictable influence on the linear trends. This casts doubts over the ability of linear trend analysis, to detect relatively subtle, slowly-developing degradation in semiarid rangelands.
Description: 34th International Symposium for Remote Sensing of Environment. Sydney Convention & Exhibition Centre Sydney, Australia, 10-15 April 2011
URI: http://hdl.handle.net/10204/5170
Appears in Collections:Environmental management
Climate change
Earth observation
General science, engineering & technology
Earth observation technologies

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