Development of daily spatial heat unit mapping from monthly climatic surfaces for the Australian continent

In absence of other limitations, the growth rate of a plant is dependent upon the amount of heat it receives. Each species, whether a crop, weed or disease organism, is adapted to grow at its optimum rate within a specific temperature range. Within this range, the growing degree days (GDD) is the heat accumulation above a given base temperature for a specific time period, such as a crop's growing season or phenological stage. In this paper we detail a methodology to predict GDD for synthetically generated average growing seasons derived from long term average climate data over the Australian continent. An application of these techniques has been made using the GEODATA 9 second DEM, with temperature threshold values estimated to characterize optimum growth in citrus (Citrus sinensis (L.) Osbeck). Three major determinants of the annual growth cycle of Citrus sp. were established and predicted on a spatial basis including the starting day of the growing season, the GDD for a growing season, and the time required to accumulate an arbitrarily selected 2000 GDD from the estimated starting day. When these critical environmental factors are expressed on a spatial basis, covering the Australian continent, the combination can be used to identify locations where new crop varieties can most effectively be grown to maximize fruit quality and productivity, or to extend the harvest season. Likewise, new germplasm introduced to Australia from overseas can be horticulturally assessed at sites climatically matched to the source location.     

Parallel calibration transfer and systematic effects in retrospective absorbed dose estimation using OSL

Parallel multiple aliquot calibration transfer is combined with the use of standardized optically stimulated luminescence signals and evaluation of single aliquot regenerative dose response characteristics, to produce a robust and efficient transfer protocol for mineral samples used in dating and retrospective dosimetry. Transfer was made from an IST-LPSR ⁶⁰Co primary air kerma standard to four Risø and Daybreak ⁹⁰Sr/⁹⁰Y irradiators, for quartz or polymineral grains of 90/100–160 μm or 160–250 μm diameter from seven samples. Grains were pretreated by activation, heating, or bleaching, and mounted on 0.5 mm thick aluminium or stainless steel disks, or 0.25 mm thick stainless steel cups. Multiple aliquot conversion coefficients based on parallel irradiations (mGy_60Co per s of ⁹⁰Sr/⁹⁰Y exposure) were corrected for non linearity in dose response using the regenerative measurements, and compared with “single aliquot” coefficients obtained directly from the regenerative, i.e. retrospectively measured, dose responses. Ratios of measured/given β exposure time provide controls: these were close to unity for activated and heated material, which exhibited predose sensitization, and vice versa for optically bleached samples. Parallel multiple aliquot calibration transfer, using OSL integrated over the main signal decay, was found to offer better accuracy and precision than retrospective single aliquot measurements, and was robust for polyminerals as well as quartz. Differences in conversion coefficient between grain-sizes and supports on a given irradiator ranged up to 25% and were specific to the irradiator-support-grainsize permutation. Geometric effects are quantitatively explained by the solid angle subtended at the source by the sample, and the effect of support material (and thickness) by differences in electron backscatter.     

资源三号卫星全色影像的姿态角常差检测

根据资源三号卫星传感器的成像原理,构建严格几何模型进行直接定位。通过对不同时间的资源三号全色影像进行实验,验证了姿态角常差的存在,并建立校正模型对其进行改正。利用少量控制点改正姿态角常差后,影像立体定位精度可显著提高。不同地区的实验结果表明,姿态角常差不是恒定不变的,需要根据长期观测建立其变化模型。     

考虑阻尼影响的修正CD-Newmark组合算法数值特性研究

显-隐式组合数值积分算法结合了显式算法无需迭代和隐式算法无条件稳定的各自优点,是结构抗震拟动力试验顺利运行的关键.在对传统显式中央差分法和隐式Newmark β组合算法进行参数修正的基础上,建立了修正CD-Newmark算法,考虑阻尼的影响分析了组合算法的稳定性条件、周期失真率和数值阻尼比,分别得到了试验子结构的稳定性条件和计算子结构无条件稳定的参数合理取值范围,并对计算精度进行了分析.通过算例分析验证了算法的数值特性,从而初步解决了CD-Newmark算法存在稳定性界限过严的问题,为结构抗震拟动力混合试验提供了研究参考.     

等高仪光子计数观测资料的处理

在光子计数资料的处理方法设计不完善时，有可能会大大影响光电等高仪的观测结果。本文提出了一套从平滑，搜索到定中心的光子计数资料处理方法，通过与原方法进行了９天（含满月夜）的同步处理比较，新的处理方法得到的星数是原方法结果的１．４８倍，单星测定精度提高０″０２，并且基本克服了天光的影响。     

TM图像的大地校正及其镶嵌方法研究

大地校正和数字图像镶嵌是应用遥感图像进行资源环境监测工作的基础,其精度的高低将对后续工作产生直接影响。基于经过系统校正的TM图像内部几何精度高的前提,本文提出一种快速实用的大地校正及图像镶嵌方法,该方法避免了传统方法在应用控制点建立拟合方程时耗时长的缺点,保证了TM镶嵌图像的几何精度.     

单片定位的精度一致性

在单张航片定位(数字纠正)中,由于受多种因素的影响,会造成不同像片之间或同一片上不同图斑点的定位精度不一致。本文对影响单片定位精度的诸因素进行分析,最终明确单片数字纠正中的正确方法。     

GPS偏心观测及其精度分析

由于种种条件的限制，在很多情况下GPS天线都无法实现真正的对中，在某些特殊情况下，例如观测站必须与VLBI站或SLR站重合，而又无法在这些站的标志中心安设接收机天线，这就要求进行GPS偏心观测。本文将着重对GPS偏心观测归心元素的测定方法、归心改正数的计算以及归心元素的测定精度进行讨论和分析。     

Vertical accuracy of the SRTM DTED level 1 of Crete

A reference digital elevation model (DEM), produced from contour lines digitization, from topographic maps at scale 1:250.000 is used in order to assess the vertical accuracy of the SRTM DTED level 1 in Crete Island in Southern Greece. The error image interpretation revealed three types of systematic errors: (a) stripping, (b) large voids and (c) those errors resulted from the mis-registration of the Shuttle Radar Topography Mission (SRTM) imagery to the local datum. Terrain was segmented to plane regions and sloping regions. Sloping regions were segmented to aspect regions (aspect being standardized to the eight geographic directions defined in a raster/grid image). Error statistics was computed for the study area as well as the individual terrain classes. Vertical accuracy was found to be terrain class dependent. Sloping regions present greater mean error than the plane ones. Statistical tests verified that the difference in mean error between aspect regions that slope in opposite geographic directions is statistically significant. The greater mean error is observed for SW, W and NW aspect regions. The additional finishing steps applied to the SRTM dataset were not sufficient enough for the systematic errors and the terrain class dependency of the error to be corrected. The observed root-mean-square error (RMSE) for the SRTM DTED-1 of Crete do not fulfil the 16 m RMSE specification for the SRTM mission while the USA national map accuracy standards for the scale 1:250.000 are satisfied.