ABSTRACT
In order to better understand the exchange of heat and moisture between the land surface and lower atmosphere, it is important to quantify the components of the surface energy balance in a distributed fashion at the landscape scale. Remotely sensed data can provide spatially distributed information on a number of key land surface characteristics and state variables that control the surface energy balance. When combined with near-surface meteorological measurements and a relatively simple model, satellite and aircraft-based remotely sensed data can be used to create “maps” of spatially distributed surface energy balance components over a watershed. Assuming no advection of energy into an area, the simplest form of the surface energy balance is given by () https://www.w3.org/1998/Math/MathML"> R net = G + H + L E https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9780429210518/e5ac3155-8fee-4a30-88f4-e5898b497747/content/eq77.tif" xmlns:xlink="https://www.w3.org/1999/xlink"/>
