Mark D. Heiser

TL;DR: In this article, the relationship between surface conductance and spectral vegetation indices was investigated utilizing the FIFE data set, principally the surface flux station data and images from the TM instrument using a model inversion that separated the soil and vegetation contributions to evapotranspiration and made adjustments for the effects of vapor pressure deficit and soil moisture stress.

TL;DR: In this article, a modified version of the simple biosphere model (SiB) was used to investigate the impact of spatial variability in the fields of topography, vegetation cover, and soil moisture on the area-averaged fluxes of sensible and latent heat for an area of 2×15 km (the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) testbed area) located within the FIFE area).

TL;DR: In this paper, the authors used the FIFE-89 data set which was collected over a 2 km × 15 km grassland area in Kansas to investigate the relationship between surface and root-zone soil wetness to the soil surface and canopy transpiration rates.

TL;DR: In this article, a method for calculating surface energy balances is investigated which incorporates the vegetation index and/or other indicators of surface conductance at visible and near-IR channels, and data from the Konza Prairie are employed to confirm the hypothesized relationship between maximum canopy conductance and the observed simple-ratio vegetation index.

TL;DR: A filtered and standardized surface heat flux data set, which includes net radiation (Rn), latent heat flux (λE), sensible heat flux, and ground heat flux was produced from an analysis of field measurements taken by a network of 16 Bowen ratio and 6 eddy correlation instruments deployed during the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment in 1987 (FIFE 1987).