publication . Article . Other literature type . 2017

A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis

Jing Wang; Bo Huang;
Open Access English
  • Published: 25 Sep 2017 Journal: Remote Sensing (issn: 2072-4292, Copyright policy)
  • Publisher: MDPI AG
Abstract
Interest has been growing with regard to the use of remote sensing data characterized by a fine spatial resolution and frequent coverage for the monitoring of land surface dynamics. However, current satellite sensors are fundamentally limited by a trade-off between their spatial and temporal resolutions. Spatiotemporal fusion thus provides a feasible solution to overcome this limitation, and many blending algorithms have been developed. Among them, the popular spatial and temporal adaptive reflectance fusion model (STARFM) is based on a weighted function; however, it uses an ad hoc approach to estimate the weights of surrounding similar pixels. Additionally, an ...
Subjects
free text keywords: rigorously-weighted spatiotemporal fusion, ordinary kriging, prediction uncertainty, MODIS, Landsat, Science, Q
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publication . Article . Other literature type . 2017

A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis

Jing Wang; Bo Huang;