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Enhancing Spatio-Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data.
- Source :
- IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Sep2017, Vol. 10 Issue 9, p4116-4123, 8p
- Publication Year :
- 2017
-
Abstract
- Spatio-temporal fusion of MODIS and Landsat data aims to produce new data that have simultaneously the Landsat spatial resolution and MODIS temporal resolution. It is an ill-posed problem involving large uncertainty, especially for reproduction of abrupt changes and heterogeneous landscapes. In this paper, we proposed to incorporate the freely available 250 m MODIS images into spatio-temporal fusion to increase prediction accuracy. The 250 m MODIS bands 1 and 2 are fused with 500 m MODIS bands 3–7 using the advanced area-to-point regression kriging approach. Based on a standard spatio-temporal fusion approach, the interim 250 m fused MODIS data are then downscaled to 30 m with the aid of the available 30 m Landsat data on temporally close days. The 250 m data can provide more information for the abrupt changes and heterogeneous landscapes than the original 500 m MODIS data, thus increasing the accuracy of spatio-temporal fusion predictions. The effectiveness of the proposed scheme was demonstrated using two datasets. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 19391404
- Volume :
- 10
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 125422149
- Full Text :
- https://doi.org/10.1109/JSTARS.2017.2701643