期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B7(/1-4)
页码：347-354
出版社：Copernicus Publications
摘要：In the summer of 1998, an experimental flight was carried out with the Digital Airborne Imaging Spectrometer (DAIS7915) over the Peyne test site in southern France. DAIS is a hyperspectral system with 72 bands from visible to shortwave infrared wavelengths and 7 bands in the thermal infrared. This study investigates the integrated use of thermal- and optical bands for extracting information from DAIS to simulate the thermal behaviour of the soil surface and the vegetation. Field survey during the days around the over flight time yielded information on the daily thermal cycle of various surfaces. Next a geostatistical sampling approach and interpolation algorithms were used to produce maps of soil properties controlling the thermal behaviour of the soil surface. Conditional simulation provided insight in the spatial distribution of the uncertainty of the soil properties. The field data showed that significant differences exist between the surface temperature of the various soil types and land cover. The optical DAIS images were converted from radiance into reflectance using the empirical line method. The uncalibrated digital numbers of the thermal DAIS bands were converted into absolute temperature values by using field measurements collected during the overflight. Next, the DAIS optical spectral bands were used to assess the vegetative cover and the land cover type on a pixel-by-pixel basis. A dynamic, spatial model was built simulating the surface temperature over 48 hours. Input for the model was extracted from the DAIS imagery and collected in the field. This model was calibrated by field temperature measurements
关键词：Digital Airborne Imaging Spectrometer (DAIS7915); Hyper spectral imagery; Image correction and ; interpretation; Land cover; Surface energy balance; Temperature modelling
