基于陆面能量平衡方程的遥感模型的研究与应用-以海河流域为例

流域尺度上的水循环包括降水、径流、地下水、蒸腾蒸发等过程。其中ET是流域水循环研究和水资源管理的重要因素，也是陆面生态过程的关键参数。流域和区域水资源管理的目的就是要保证流域内的水资源供需平衡，在水资源短缺地区就是要通过监测、评价取｝有效管理来减少实际耗水量，实现水资源的高效利用。海河流域处于中国干旱和湿润气候的过渡地带，是东部沿海降水最少的地区。山于气候、地形等因素的影响，降水量的年际变化很大，且有较明显的地带性差异。海河流域人均水资源占有量305m3，不足全国的1／6，为一世界水平的1／24。流域以其仅占全国1．5％的有限水资源，承担着全国10％的人口及京、津等几十座城市的供水任务。经济社会的发展已超出水资源的承载能力，处于供需严重失衡状态。状态。选择海河流域进行实际蒸腾蒸发量研究，对实现海河流域水资源的合理规划和管理，把握区域水资源供需平衡规律，有重要的指导意义本研究对区域遥感监测蒸发蒸腾的模型机理进行了深入探讨，详细叙述了有关方法，进而根据地而站点的精细观测并结合以往的地面观测资料，检验了蒸发蒸腾量的遥感监测结果，对遥感估算蒸腾蒸发的模型进行了优化。模型计算结果的精度一般在80％以上，可以满足流域水资源管理业务应用的需要。本文还对其遥感ET监测在空间和时间尺度上的应用做了一定的探讨。利用基于陆面能量平衡方程的遥感模型估算蒸腾蒸发，在百公里尺度和全流域两个尺度上进行了初步分析。百公里尺度上选择LANDSATTM资料，并以北京市作为研究区域，利用遥感数据获取的信息，进行了瞬时蒸腾蒸发量的计算和日蒸腾蒸发量的计算，并分析了蒸腾蒸发量的空间分布。在海河流域尺度，利用2003年的NOAAAVHRR遥感数据，以整个海河流域为研究对象，计算了8个省、市，39个地区的蒸腾蒸发量，得出了2003年海河流域分区域蒸腾蒸发量和不同土地利用类型的蒸腾蒸发量，对蒸腾蒸发量的年内分配和水量平衡进行了分析。计算结果可以作为北京市和海河流域的水资源管理的科学依据。最后，对遥感监测ET方法的改进及在水管理等方面的广泛应用作了展望。

Decision tree classification of land cover from remotely sensed data

Decision tree classification algorithms have significant potential for land cover mapping problems and have not been tested in detail by the remote sensing community relative to more conventional pattern recognition techniques such as maximum likelihood classification. In this paper, we present several types of decision tree classification algorithms arid evaluate them on three different remote sensing data sets. The decision tree classification algorithms tested include an univariate decision tree, a multivariate decision tree, and a hybrid decision tree capable of including several different types of classification algorithms within a single decision tree structure. Classification accuracies produced by each of these decision tree algorithms are compared with both maximum likelihood and linear discriminant function classifiers. Results from this analysis show that the decision tree algorithms consistently outperform the maximum likelihood and linear discriminant function classifiers in regard to classf — cation accuracy. In particular, the hybrid tree consistently produced the highest classification accuracies for the data sets tested. More generally, the results from this work show that decision trees have several advantages for remote sensing applications by virtue of their relatively simple, explicit, and intuitive classification structure. Further, decision tree algorithms are strictly nonparametric and, therefore, make no assumptions regarding the distribution of input data, and are flexible and robust with respect to nonlinear and noisy relations among input features and class labels.

Shallow gas in the muddy sediments of Eckernförde Bay, Germany

The seafloor of central Eckernförde Bay is characterised by soft muddy sediments that contain free methane gas. Bubbles of free gas cause acoustic turbidity which is observed with acoustic remote sensing systems. Repeated surveys with subbottom profiler and side scan sonar revealed an annual period both of depth of the acoustic turbidity and backscatter strength. The effects are delayed by 3–4 months relative to the atmospheric temperature cycle. In addition, prominent pockmarks, partly related to gas seepage, were detected with the acoustic systems. In a direct approach gas concentrations were measured from cores using the gas chromatography technique. From different tests it is concluded that subsampling of a core should start at its base and should be completed as soon as possible, at least within 35 min after core recovery. Comparison of methane concentrations of summer and winter cores revealed no significant seasonal variation. Thus, it is concluded that the temperature and pressure influences upon solubility control the depth variability of acoustic turbidity which is observed with acoustic remote sensing systems. The delay relative to the atmospheric temperature cycle is caused by slow heat transfer through the water column. The atmospheric temperature cycle as ‘exiting function’ for variable gas solubility offers an opportunity for modelling and predicting the depth of the acoustic turbidity. In practice, however, small-scale variations of, e.g., salinity, or gas concentration profile in the sediment impose limits to predictions. In addition, oceanographic influences as mixing in the water column, variable water inflow, etc. are further complications that reduce the reliability of predictions.

Fast monostatic GPR modeling

We propose the exploding-reflector method to simulate a monostatic survey with a single simulation. The exploding reflector, used in seismic modeling, is adapted for ground-penetrating radar (GPR) modeling by using the analogy between acoustic and electromagnetic waves. The method can be used with ray tracing to obtain the location of the interfaces and estimate the properties of the medium on the basis of the traveltimes and reflection amplitudes. In particular, these can provide a better estimation of the conductivity and geometrical details. The modeling methodology is complemented with the use of the plane-wave method. The technique is illustrated with GPR data from an excavated tomb of the nineteenth century.

新疆土壤侵蚀遥感影像判读与几个独特问题

在新疆土壤侵蚀遥感调查中，对遥感影像的判读，采用了遥感信息与地学资料相结合、综合分析与主导分析结合、室内判读与专家经验及外业调查结合、分层分类判读的方法；根据新疆水蚀、风蚀、冻融侵蚀具有垂直分布规律的特点，在土壤侵蚀分类时主要考虑降水量、海拔高度和年均温等指标；列出了新疆土壤侵蚀分类分级影像特征；指出盐碱地的侵蚀分类与戈壁的侵蚀分级是有待研究的重要问题。

区域水土流失研究综述

以区域水土流失为主题 ,分析并阐述了该领域的研究现状 ,指出了当前存在的主要问题 ,并对研究的今后发展方向进行了展望。

基于RS的黄河中游多沙粗沙区土地利用变化分析

据1975年的Landsat MSS、1986年和1997年的Landsat TM影像资料,运用遥感影像计算机自动分类方法获取土地利用信息,用GIS空间分析方法以及数理统计方法全面分析了黄河中游多沙粗沙区1975~1986年和1986~1997年两个时期内各土地利用类型的变化幅度、变化速度、数量变化的区域差异、变化方向以及变化方向的区域差异等。结果表明:后期土地利用类型间的相互转化有所增强;耕地、草地、林地和未利用地是本区土地利用变化的主导类型,耕地、草地与其它土地利用类型间的相互转化分布校广;后期耕地被居民地占用的面积和毁林开荒的面积比前期有所增加。