Supporting Land-use Mapping by Using Multitemporal Thermal Infrared Imagery in Conjunction with a Simple Diurnal Temperature Model
نویسندگان
چکیده
We propose an algorithm for deriving surface specific information from a multitemporal thermal data set with a simple model of the diurnal temperature curve. Based on an analytic solution of the heat conduction equation (Price 1977) this algorithm allows the determination of the thermal inertia and of the linearization coefficients of the outgoing heatfluxes for each pixel of a multitemporal thermal image by fitting the model to the respective temperature values. At least three temperature measurements at different times of one day are needed for that process. For computational convenience we introduce a function representing the ratio of two temperature differences. The determined model parameters are analyzed regarding their usefulness for land-use mapping. The algorithm was tested on a multitemporal multispectral image data set recorded by a DAEDALUS AADS 1268 line scanner. The test site was an agricultural area near the city of Nuremberg, Germany. The data was recorded at 4:30 a.m., 8:30 a.m. and 11:30 a.m. (MET). In order to value the information on surface properties derived by applying this method we related the resulting parameters to NDVI and apparent thermal inertia values. The results show their usefulness for supporting land-use mapping.
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