西藏班公湖-怒江板块结合带岩金遥感找矿模式

西藏班公湖-怒江板块结合带地质构造复杂,成矿条件优越,具备形成金矿的地质背景条件,是西藏最具潜力和规模巨大的贵金属成矿带.但由于该区地质工作程度较低和对成矿规律认识不清,至今没有一个可供开发的岩金矿产地.通过班公湖-怒江板块结合带砂金、岩金矿(化)点,地球化学异常和重砂异常的分布并进行控矿因子分析,建立了该带两种岩金遥感找矿模式,通过验证发现该区具有大型远景规模的岩金矿产地,并认为蚀变岩型金矿和穆龙套型金矿是该带最重要的两种矿床类型,具有巨大的找矿潜力.     

基于权重与混合模型的遥感图像分类方法研究

提出了一种基于权重与混合像元模型的遥感图像分类方法。该方法在现有光谱混合模型的基础上,根据实际应用需要确定地类权重,通过地类丰度与权重因子加权平均确定像元的隶属类型,从而实现遥感图像分类。以SPOT-5土地覆盖遥感分类为例,对权重与混合像元模型结合的图像分类方法进行了验证,结果表明,该方法提高了遥感图像分类精度,在一定条件下更具实际意义。     

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.     

Testing satellite and ground thermal imaging of low-temperature fumarolic fields: The dormant Nisyros Volcano (Greece)

The Nisyros Volcano (Greece) was monitored by satellite and ground thermal imaging during the period 2000–2002. Three night-scheduled Landsat-7 ETM⁺ thermal (band 6) images of Nisyros Island were processed to obtain land surface temperature. Ground temperature data were also collected during one of the satellite overpasses. Processed results involving orthorectification and 3-D atmospheric correction clearly show the existence of a thermal anomaly inside the Nisyros Caldera. This anomaly is associated mainly with the largest hydrothermal craters and has land surface temperatures 5–10 °C warmer than its surroundings. The ground temperature generally increased by about 4 °C inside the main crater over the period 2000–2002. Ground thermal images of the hydrothermal Stephanos Crater were also collected in 2002 using a portable thermal infrared camera. These images were calibrated to ground temperature data and orthorectified. A difference of about 0–2 °C was observed between the ground thermal images and the ground temperature data. The overall study demonstrates that satellite remote sensing of low-temperature fumarolic fields within calderas can provide a reliable long-term monitoring tool of dormant volcanoes that have the potential to reactivate. Similarly, a portable thermo-imager can easily be deployed for real-time monitoring using telemetric data transfer. The operational costs for both systems are relatively low for an early warning system.     

《遥感图像处理》课程教学在地理学专业中的探索与实践

针对地理专业的自身特点和当前遥感图像处理的教学现状，提出了遥感图像处理课程在地理专业中的主要教学内容框架、教学方法以及教学改革方向，并对该课程的实践教学部分做了重点介绍，最后论述了该课程在地理学专业实践教学中的取得一些教改成果。     

基于高分辨率遥感数据的城市居住单元交通环境质量评价——以厦门市为例

居住单元是与人们生活密切相关的社区范围,其交通环境的优劣是衡量居住单元环境好坏的重要标准之一。高分辨遥感影像 的高空间分辨率特点为我们提供了研究居住单元交通环境的可能性。本文从区域交通环境、路网可达性出发,对城市居住单元交通 环境质量的遥感评价方法进行了研究,根据高分辨率遥感影像的特点构建了居住单元交通环境的多级指标评价体系,并对厦门市的 50个居住单元进行了评价分析。实验表明,利用高分辨率影像进行城市交通环境质量评价是一种成本较低,简便可行的方法。     

用数值方法模拟观测误差对水质浓度反演模型参数的影响 ——以叶绿素a浓度为例

在2003年10月27日和28日观测的太湖水质光谱试验数据的支持下,利用数值模拟方法研究了试验数据误差与水质浓度反演模型经验常数之间的关系。研究结果表明,当试验数据误差分别服从正态分布与均匀分布时,反演模型的经验常数随着试验数据误差的增加而呈发散状态。根据试验数据误差与反演精度的关系可知,26.58%的试验误差对应着30%的反演精度,这就意味着在不考虑遥感影像处理所产生误差的前提下,严格控制试验数据误差在26.58%以内,是反演精度打破±30%的技术瓶颈的关键要素之一。     

土地利用动态遥感监测成果应用现状及信息共享策略

新一轮国土资源大调查工程中土地利用动态遥感监测项目,经过六年多的运行取得了丰富的成果和第一手数据资料,是土地管理工作中重要的数据资源,本文通过对土地利用动态遥感监测成果内容和特点、应用现状及存在问题的分析,提出成果应用建议。