基于灰色新陈代谢模型的建筑物沉降分析

变形监测数据处理有助于及时了解建筑物安全状态。本文在对灰色模型基本理论作阐述的基础上,结合沉降监测实例,采取新陈代谢法对实测数据进行分析与预测,得到了满足精度要求的成果,验证了该方法应用于建筑物沉降分析的可行性。     

Integrating environmental variables and WorldView-2 image data to improve the prediction and mapping of Thaumastocoris peregrinus (bronze bug) damage in plantation forests

This study integrated environmental variables together with high spectral resolution WorldView-2 imagery to detect and map Thaumastocoris peregrinus damage in Eucalypt plantation forests in KwaZulu-Natal, South Africa. The WorldView-2 bands, vegetation indices and environmental variables were entered separately into PLS regression models to predict T. peregrinus damage. The datasets were then integrated to test the collective strength in predicting T. peregrinus damage. Important variables were identified by variable importance (VIP) scores and were re-entered into a PLS regression model. The VIP model was then extrapolated to map the severity of damage and predicted T. peregrinus damage with an R² value of 0.71 and a RMSE of 3.26% on an independent test dataset. The red edge and near-infrared bands of the WorldView-2 sensor together with the temperature dataset were identified as important variables in predicting T. peregrinus damage. The results indicate the potential of integrating WorldView-2 data and environmental variables to improve the mapping and monitoring of insect outbreaks in plantation forests. The result is critical for plantation health monitoring using a new sensor which contains important vegetation wavelengths.     

Determination of the crop row orientations from Formosat-2 multi-temporal and panchromatic images

This paper presents a technique developed for the retrieval of the orientation of crop rows, over anthropic lands dedicated to agriculture in order to further improve estimate of crop production and soil erosion management. Five crop types are considered: wheat, barley, rapeseed, sunflower, corn and hemp. The study is part of the multi-sensor crop-monitoring experiment, conducted in 2010 throughout the agricultural season (MCM’10) over an area located in southwestern France, near Toulouse. The proposed methodology is based on the use of satellite images acquired by Formosat-2, at high spatial resolution in panchromatic and multispectral modes (with spatial resolution of 2 and 8 m, respectively). Orientations are derived and evaluated for each image and for each plot, using directional spatial filters (45° and 135°) and mathematical morphology algorithms. “Single-date” and “multi-temporal” approaches are considered. The single-date analyses confirm the good performances of the proposed method, but emphasize the limitation of the approach for estimating the crop row orientation over the whole landscape with only one date. The multi-date analyses allow (1) determining the most suitable agricultural period for the detection of the row orientations, and (2) extending the estimation to the entire footprint of the study area. For the winter crops (wheat, barley and rapeseed), best results are obtained with images acquired just after harvest, when surfaces are covered by stubbles or during the period of deep tillage (0.27 > R² > 0.99 and 7.15° > RMSE > 43.02°). For the summer crops (sunflower, corn and hemp), results are strongly crop and date dependents (0 > R² > 0.96, 10.22° > RMSE > 80°), with a well-marked impact of flowering, irrigation equipment and/or maximum crop development. Last, the extent of the method to the whole studied zone allows mapping 90% of the crop row orientations (more than 45,000 ha) with an error inferior to 40°, associated to a confidence index ranging from 1 to 5 for each agricultural plot.     

常州市国土资源三级动态综合巡查系统设计与实现

本文结合常州市国土资源三级动态综合巡查系统的建设实践,对传统国土资源执法巡查工作由于欠缺技术手段造成的弊端进行了分析,依托3S技术、3G技术、空间数据库技术、嵌入式开发技术等现代技术,探讨和梳理了内业、外业一体化的巡查工作业务流程,设计和实践了乡、县、市三级国土资源管理部门上下联动的巡查业务新模型。     

国内外地理国情监测相关标准分析与思考

为保障地理国情监测顺利、有序、规范地开展,促进监测成果在各级政府与国民经济建设各部门的广泛应用和服务,迫切需要开展地理国情监测标准化工作。通过对国外地理国情监测相关标准的情况进行梳理,并从已有测绘地理信息标准、各专业部门专题信息调查／监测标准两方面对国内地理国情监测相关标准进行分析,为今后的地理国情监测标准化工作开展提供参考。     

城市地铁变形监测数据处理

为确保地铁施工安全进行变形监测是非常重要的手段,而变形监测的最终目的是预测,即对观测物的未来形态进行预报和分析。时间序列的原理是找出事物随时间变化的规律,从而对数据变化趋势做出正确的分析和预报。本文通过对时间序列的研究对长春地铁繁荣路站的变形监测数据进行了分析和预报。     

基于CORS的浙江省地质灾害监测预警系统建设

主要论述了以浙江省 CORS 系统为基础,综合运用GNSS 空间定位技术、计算机技术、通讯技术、网络技术等现代技术,对可能由地表位移引起的地质灾害进行实时监测、预警和形变分析,建立地质灾害监测预警系统的设计思路和实现过程。     

灰色模型分析法在高层建筑物变形监测预测中的应用

在变形监测过程中,获取监测资料以后,通过对高层建筑物观测资料进行研究分析,可以掌握地基随时间的沉降规律,预测其下一步的变形趋势,并为可能发生的变形做好必要的准备,减少因非预计沉降带来的损失。灰色模型分析法是一种常用的数据处理及预测分析方法,本文在简单介绍了灰色模型分析法的基础上,利用灰色模型分析法预测了变形监测数据,并得出了有益结论。     

地理国情监测在城市化发展中的应用研究——以汕头市为例

开展地理国情监测工作的目的是为了获取自然与人类社会经济活动引起的地表变化信息,为政府、企业和公众提供地理国情信息服务。城市化发展、变迁是地理国情监测的重要应用方面之一,本文以广东省汕头市为例,基于遥感技术（ RS）,利用多时相影像数据提取不同时期建成区变化信息,并有针对性地对比分析,直观反映了汕头市三十多年的城市化发展的特点和进展情况。     

地理国情监测检查要点分析

地理国情监测是对我国的国情国力的普查工作,是获取地理相关信息、掌握人文地理信息与社会活动信息的重要手段,是测绘生产对发展国家经济具有突出贡献的充分体现,对推进节约型社会和生态文明建设具有重要意义,所以保证地理国情监测成果的合理性、正确性、现势性十分重要。本文根据国情监测项目设计要求对地理国情监测成果的重点要素及在生产中容易出现的错漏进行了系统的分析与整理,确保地理国情项目保质保量的完成。