Name
Title | ||
|---|---|---|
A spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data |
Abstract | ||
|---|---|---|
A method for detecting land cover change using NDVI timeseries 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 3 × 3 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 3 × 3 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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5653871 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
Kalman filters,terrain mapping,time series,MODIS time series,MODerate-resolution Imaging Spectroradiometer,NDVI time series,change metric,extended Kalman filter,land cover change detection,spatiotemporal approach | Meteorology,Time series,Extended Kalman filter,Moderate-resolution imaging spectroradiometer,Computer science,Remote sensing,Kalman filter,Normalized Difference Vegetation Index,Pixel,Spectroradiometer,Land cover | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Waldo Kleynhans | 1 | 111 | 27.45 |
| J. Corne Olivier | 2 | 20 | 3.50 |
| Brian P. Salmon | 3 | 150 | 27.18 |
| Konrad J. Wessels | 4 | 98 | 20.52 |
| Frans van den Bergh | 5 | 189 | 21.35 |