Publications
Detailed Information
위성영상 시공간 융합기법의 계절별 NDVI 예측에서의 응용 : Application of satellite data spatiotemporal fusion in predicting seasonal NDVI
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2017-04
- Publisher
- 대한원격탐사학회
- Citation
- 대한원격탐사학회지, Vol.33 No.2, pp.149-158
- Abstract
- Fine temporal and spatial resolution of image data are necessary to monitor the phenology of vegetation. However, there is no single sensor provides fine temporal and spatial resolution. For solve this limitation, researches on spatiotemporal data fusion methods are being conducted. Among them, FSDAF (Flexible spatiotemporal data fusion) can fuse each band in high accuracy. In this study, we applied MODIS NDVI and Landsat NDVI to enhance time resolution of NDVI based on FSDAF algorithm. Then we proposed the possibility of utilization in vegetation phenology monitoring. As a result of FSDAF method, the predicted NDVI from January to December well reflect the seasonal characteristics of broadleaf forest, evergreen forest and farmland. The RMSE values between predicted NDVI and actual NDVI (Landsat NDVI) of August and October were 0.049 and 0.085, and the correlation coefficients were 0.765 and 0.642 respectively. Spatiotemporal data fusion method is a pixel-based fusion technique that can be applied to various spatial resolution images, and expected to be applied to various vegetation-related studies.
- ISSN
- 1225-6161
- Language
- Korean
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.