A Rrobust Method for Generating High Spatiotemporal-resolution Surface Reflectance by Fusing MODIS and Landsat Data
Abstract
Remote sensing images with high temporal and spatial resolution are of great significance in the application of remote sensing technology to real-time earth observation. However, remote sensing images that possess both high temporal and spatial resolution cannot be obtained for technical reasons. Multisource remote sensing data-fusion technology provides a feasible way to solve this problem, better capturing the intermediate change process of the surface reflectance and making full use of available remote sensing image information. To synthesize images in regions with high landscape heterogeneity and great spectral changes over time, this paper presents a multisource remote sensing data spatial and temporal reflectance fusion method (FCMSTRFM) based on a fuzzy C-clustering model. Compared with the frequently-used spatial and temporal data fusion approach (STDFA), which is based on the linear mixed model, and the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM), FCMSTRFM can obtain higher precision and has application advantages in areas where the pixel reflectance time changes drastically and the spatial structure is complex.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMIN11C0678Y
- Keywords:
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- 0550 Model verification and validation;
- COMPUTATIONAL GEOPHYSICS;
- 1916 Data and information discovery;
- INFORMATICS