基于本体的地理信息服务查询组件设计

介绍了一种基于本体的服务发现组件设计方法,将基于本体的元数据和基于本体的查询结合起来,提高了基于OGC标准的网络地理服务发现的查询效率和准确性.     

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha⁻¹ lower than the RMSE (233.35 kg ha⁻¹) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation.     

不等时距灰色模型在深基坑变形预测中的应用

传统的灰色模型多适用于等间距序列监测数据的模拟预测,而实际上由于各种原因往往使所获得的监测数据是不等时距的。研究了基于不等时距灰色预测方法的深基坑变形预测模型,应用深基坑工程变形的实际监测资料,对其预测精度及可行性进行了充分的分析比较与论证。结果表明,不等时距灰色模型预测深基坑变形的精度及可信度较高。     

Application of Refactoring and Design Pattern in Land Information System Development

The unceasing change problem of land information systems can be resolved through the refactoring and design pattern. To promote the implementation of design pattern and refactoring methods in developin...     

基于数据库的大比例尺基础地理数据缩编需要注意的一些问题

提出了基于数据库的大比例尺基础地理数据缩编需要注意的一些问题，并从加强数据设计的完整性、作好数据准备工作，提高自动化处理功能，人机交互辅助缩编，满足地图回放的要求，加强数据质量控制等方面阐述了实现基于数据库缩编的实用方法。     

PostgreSQL在时空数据管理中的应用

针对当前时空数据管理中存在的主要问题，本文提出用PostgreSQL作为平台来进行时空数据的管理。本文从PostgreSQL自身的特点出发，并结合“香港18个地区区议会选举”的例子，分析、探讨了如何在PostgreSQL的环境中实现对时空数据的有效管理。并在此基础上，对时空数据的合理组织进行了研究，为时空数据的管理提供了新的思路。     

全站仪断面测量方法

从野外断面测量的角度出发,主要讨论全站仪在断面测量中的野外观测方法、数据处理思路以及相应的软件研制.     

松辽平原区荒漠化形成与发展的地质基础

利用卫星数据,结合实地地质调查、光释光（Optically Stimulated Luminecence, OSL）测年及孢粉数据,从地层、新构造和沉积环境等角度阐述了松辽平原晚更新世晚期湖积环境的形成与变化,提出了松辽平原晚更新世晚期湖积环境或湖积物质是区内荒漠化形成与发展的地质基础。     

XML与动态指标管理在土地适宜性评价中的应用

以增强土地适宜性评价系统的可移植性为目的,研究基于XML的动态指标管理技术,并以ArcGIS为开发平台,设计并实现基于GIS的土地适宜性评价系统.系统主要由数据库管理、动态指标管理、适宜性评价与潜力分析、统计分析和人机接口5部分构成,具有数据输入与输出、查询统计、空间分析等功能,能够对各类数据进行动态管理,可依据建立的...