A SPATIO-TEMPORAL APPROACH TO DETECTING LAND COVER CHANGE USING AN EXTENDED KALMAN FILTER ON MODIS TIME SERIES DATA

被引：1
|
作者：
Kleynhans, W. [1 ,2 ]
Olivier, J. C. [1 ,3 ]
Salmon, B. P. [1 ,2 ]
Wessels, K. J. [2 ]
van den Bergh, F. [2 ]
机构：
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa
[2] Meraka Inst, Remote Sensing Res Unit, Pretoria, South Africa
[3] CSIR, Def Peace Safety & Secur, Pretoria, South Africa
来源：
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年
关键词：
UNSUPERVISED CHANGE DETECTION;
D O I：
10.1109/IGARSS.2010.5653871
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
A method for detecting land cover change using NDVI time-series data derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite data is proposed. The algorithm acts as a per pixel change alarm and takes as input the NDVI time-series of a 3x3 grid of MODIS pixels. An Extended Kalman Filter was used to estimate a series of parameters related to each NDVI signal. A spatial comparison between the center pixel of the the 3x3 grid and each of its neighboring pixels' parameters was done to calculate a change metric which compared to a threshold yielded a change or no-change decision. The method was tested on real change examples in the study area and results indicate 90% detection of new settlements occurring in naturally vegetated areas.
引用
收藏
页码：1972 / 1975
页数：4
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