Forrest G. Hall

TL;DR: Modern schemes incorporate biogeochemical and ecological knowledge and, when coupled with advanced climate and ocean models, will be capable of modeling the biological and physical responses of the Earth system to global change, for example, increasing atmospheric carbon dioxide.

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: In this article, the spectral derivative of surface reflectance with respect to wavelength is used as a measure of chlorophyll abundance and energy absorption in the leaves of a broadband and near-infrared vegetation index.

TL;DR: In this article, a more sophisticated and realistic treatment of leaf physiological processes within a new canopy integration scheme was proposed, and the results indicated that area-averaged spectral vegetation indices, as obtained from coarse-resolution satellite sensors, may give good estimates of the area-integrals of photosynthesis and conductance even for spatially heterogeneous (though physiologically uniform) vegetation covers.