TL;DR: In this article, a Digital Airborne Imaging Spectrometer (DAIS7915) was used for mapping the above-ground biomass of the Mediterranean mixed oak forest in southern France.
Abstract: In July of 1997, various experimental flights were carried out with the Digital Airborne Imaging Spectrometer (DAIS7915). DAIS7915, or DAIS for short, is a European airborne imaging spectrometer and is maintained and operated by the German Aerospace Centre (DLR) at Oberpfaffenhofen. One of the 1997 experimental sites was the Peyne catchment in southern France. The objectives of the experimental flight were to evaluate the technical performance of DAIS and to assess the feasibility of mapping the above-ground biomass of the Mediterranean mixed oak forest. Field campaigns were organized to collect data for image calibration and for image interpretation and analyses. The technical performance of DAIS in 1997 was reasonable for visible and near-infrared wavelengths. The images in short-wave infrared showed severe striping due to aircraft engine vibrations. Signal-to-noise ratios were modest. Field biomass estimates at 83 locations were used to analyse the image spectra. Various well-known spectral indices and a multiple regression analyses were tested for mapping above-ground biomass. The multiple regression method yielded five spectral bands for biomass prediction. Based on the spatial distribution of the regression residuals, it was possible to indicate the reliability of the biomass prediction as a function of location and as a function of biomass level using geostatistics.
TL;DR: In this article, a methodology is presented to estimate evapotranspiration using the surface energy balance model S-SEBI (Simplified Surface Energy Balance Index) and the evaporative fraction.
TL;DR: The Distinct Author Identification System (DAIS) as mentioned in this paper is a system for disambiguating data to discern author entities and link or associate authorships with such author entities.
Abstract: The present invention provides a Distinct Author Identification System (“DAIS”) for disambiguating data to discern author entities and link or associate authorships with such author entities. The invention provides powerful disambiguation processes applied across one or more databases to yield a disambiguated authority database of authors. An entire database of publications may be processed by the DAIS to group/link authorships and to identify author entities. The author entities may then be matched or associated with actual authors to establish an authority database of authors. After initial evaluation, the DAIS may be used to reevaluate some or all of the database(s) and/or the authority database established by the DAIS may be used to add or update information. DAIS may use “hierarchical clustering” to link authorships and identify authors based on authorship similarity. DAIS evaluates the likelihood that authorships are from the same author.
TL;DR: In this paper, the authors present the laboratory instrumentation and measurements that were brought into place at the German Aerospace Research Establishment (DLR) to calibrate the DAIS 7915 sensor.
TL;DR: The development and preliminary psychometric testing of the Daily Activities of Infants Scale (DAIS), a parent‐completed measure of opportunities parents provide infants for development of postural control and movement, has sufficient reliability and validity for use in clinical practice and research.
Abstract: We describe the development and preliminary psychometric testing of the Daily Activities of Infants Scale (DAIS), a parent-completed measure of opportunities parents provide infants for development of postural control and movement. First we obtained 1300 photographs of typical activities from 17 families with infants aged 4 to 11 months. Through consensus we established nine dimensions of activities, graded across three levels of opportunity for development. Pilot testing supported content validity of the DAIS. Subsequently, 50 parents of infants born preterm aged 4 to 11 months participated in psychometric testing. There were 25 male and 25 female infant participants with a mean gestational age of 29.4 weeks (SD 3.6) and a mean birthweight of 1266 grams (SD 635). We found that completion of the DAIS over 1 day was representative of data collected over 3 sequential days. Older infants obtained significantly higher DAIS scores than younger infants, providing preliminary evidence for discriminant validity. The DAIS scores demonstrated a part-correlation of 0.20 (p<0.01) with scores on the Alberta Infant Motor Scale obtained concurrently, providing some evidence for convergent validity. The intraclass correlation coefficients reflecting interrater reliability and test-retest reliability of the total DAIS score were 0.76 (95% confidence interval [CI] 0.60-0.86) and 0.77 (95% CI 0.60-0.87) respectively. The DAIS has sufficient reliability and validity for use in clinical practice and research.