Improved Calibration Algorithms for Thermal IR Mapping,
Abstract
The thermal inertia and the soil surface moisture can be estimated from the diurnal variations of the surface temperature using thermal IR and albedo measuring imagery. A main problem at the data analysis is the local variations of the sensible heat flux, which degrades the accuracy of the interpretation. In this paper, an improved interpretation algorithm is described for prediction of thermal inertia, surface humidity and evaporation of the mapped area. The prediction errors are minimized by estimating the local sensible heat transfer from dry subsurfaces in the IR-imagery. Further improvements are possible if calibration points with known emissivity, humidity and thermal inertia are available. The potential accuracy of the algorithms is investigated and results from ground-based experiments are described.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1982
- Accession Number
- ADP002052
Entities
People
- S. R. J. Axelsson