Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median)

Flood, Neil (2013) Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sensing, 5 12: 6481-6500. doi:10.3390/rs5126481


Author Flood, Neil
Title Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median)
Journal name Remote Sensing   Check publisher's open access policy
ISSN 2072-4292
Publication date 2013-12-01
Sub-type Article (original research)
DOI 10.3390/rs5126481
Open Access Status DOI
Volume 5
Issue 12
Start page 6481
End page 6500
Total pages 20
Place of publication Basel, Switzerland
Publisher M D P I
Language eng
Formatted abstract
Multi-temporal satellite imagery can be composited over a season (or other time period) to produce imagery which is representative of that period, using techniques which will reduce contamination by cloud and other problems. For the purposes of vegetation monitoring, a commonly used technique is the Maximum NDVI Composite, used in conjunction with variety of other constraints. The current paper proposes an alternative based on the medoid (in reflectance space) over the time period (the medoid is a multi-dimensional analogue of the median), which is robust against extreme values, and appears to be better at producing imagery which is representative of the time period. For each pixel, the medoid is always selected from the available dates, so the result is always a single observation for that pixel, thus preserving relationships between bands. The method is applied to Landsat TM/ETM+ imagery to create seasonal reflectance images (four per year), with the aim being a regular time series of reflectance values which captures the variability at seasonal time scales. Analysis of the seasonal reflectance values suggests that resulting temporal image composites are more representative of the time series than the maximum NDVI seasonal composite.
Keyword Landsat
Seasonal
Image composite
Medoid
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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Created: Wed, 01 Jan 2014, 19:00:02 EST by Neil Flood on behalf of School of Geography, Planning & Env Management