Jeffrey G. Masek

TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.

TL;DR: Initial comparisons with ground-based optical thickness measurements and simultaneously acquired MODIS imagery indicate comparable uncertainty in Landsat surface reflectance compared to the standard MODIS reflectance product.

TL;DR: A new spatial and temporal adaptive reflectance fusion model (STARFM) algorithm is presented to blend Landsat and MODIS surface reflectance so that high-frequency temporal information from MODIS and high-resolution spatial information from Landsat can be blended for applications that require high resolution in both time and space.

TL;DR: The new data policy is revolutionizing the use of Landsat data, spurring the creation of robust standard products and new science and applications approaches, and promoting increased international collaboration to meet the Earth observing needs of the 21st century.

TL;DR: In this paper, an enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM) is proposed for predicting the surface reflectance of heterogeneous landscapes, based on the existing STARFM algorithm, and tested with both simulated and actual satellite data.