direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content


The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring
Citation key Gaertner2016
Author Gärtner, P. and Förster, M. and Kleinschmit, B.
Pages 237-247
Year 2016
DOI doi:10.1016/j.rse.2016.01.028
Journal Remote Sensing of Environment
Volume 2016
Number 177
Month Januar
Publisher Elsevier
Abstract Insect defoliation causes forest disturbances with complex spatial dynamics. In order to monitor affected areas, decision makers seek but often lack information with high spatial and temporal precision. Within the context of a riparian Tugai forest disturbed by the insect Apocheima cinerarius, this study examines whether the analysis of a RapidEye time series would benefit from the availability of synthetically generated images at the spatial resolution of RapidEye and the additional temporal resolution of Landsat 8. We applied the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) to downscale Landsat 8 Normalized Difference Vegetation Index (NDVI) scenes to concurrent RapidEye NDVI scenes.We a) performed a pixel-based regression analyses in order to evaluate the quality of the synthetically created NDVI products and b) examined if forest disturbance maps producedwith synthetic images improve the accuracy of disturbance detection. The results show that the ESTARFM predictions have a sufficiently good accuracy, with a correlation coefficient between 0.878 b r b 0.919 (p b 0.001) and an average root mean square error 0.015 b RMSE b 0.024. The overall accuracy of forest disturbance detection with added synthetic images increased from 42.8% to 61.1 & 65.7% compared to the original data set. Forest recovery detection accuracy improved from 59.5% to 80.9%. The main source of error in the disturbance analysis occurs during the temporal interweaving between foliation and defoliation in spring.
Link to original publication Download Bibtex entry

To top

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

This site uses Matomo for anonymized webanalysis. Visit Data Privacy for more information and opt-out options.

Geoinformation in Environmental Planning Lab
Office EB5
Straße des 17. Juni 145
D - 10623 Berlin
Phone: +49 (0)30 314 - 73 29 0
Fax: +49 (0)30 314 - 23 50 7