遥感在大兴安岭森林覆盖区地质矿产调查中的应用——以黑龙江洛古河1:5万区域地质矿产调查工作为例     

周传芳  陈卓  孙彦峰  梁中恺  杨长保  姜平  冯嘉  杜海双 《地质与资源》2022,31(5):632-641

大兴安岭地区森林覆盖严重, 气候严寒, 交通极为不便, 野外有效工作时间短, 给区域地质矿产调查工作增加了难度, 急需遥感手段提高成果质量和效率. 在黑龙江大兴安岭洛古河等4幅1:5万区域地质矿产调查工作中, 利用SPOT7、Landsat7/8、ASTER等多种遥感数据开展地质矿产解译, 进行遥感影像分区, 建立地层、构造和侵入岩解译标志, 提取羟基和铁染蚀变异常, 结合水系沉积物测量成果划分了成矿有利区, 有效降低了地质矿产调查强度, 提高了调查效率, 增强了调查质量. 表明遥感技术在大兴安岭高植被覆盖区地质矿产调查过程中能够取得较好效果.  相似文献   

实测与卫星观测德基水库水质变化   总被引：1，自引：0，他引：1       下载免费PDF全文

章国威 《水科学进展》2012,23(4):549-554

德基水库集水区的气候条件适合温带水果及高冷蔬菜、茶叶的种植,德基水库集水区上游遍布果园、菜园与茶园。因此,每逢大雨来临时,大量的残留肥料常遭冲刷至水库中。这些残留的肥料中含有大量的氮、磷等营养盐,足以提供水库微生物的生长繁殖所需,也因此造成水库中二角多甲藻的大量繁殖,进而形成藻华现象。研究使用Landsat TM卫星数据,搭配传统监测模式,以监督式影像分类法分析与监测德基水库1995年的藻华现象。研究结果显示,以Landsat TM卫星数据监测德基水库的藻华现象,其准确率可达87.5%以上。由影像分类的结果可得知,德基水库二角多甲藻之藻华现象发生较严重的时期为夏天,而冬天则较为轻微。此现象发生的原因,应与集水区上游的农业经营模式息息相关。此外,德基水库藻华现象发生的区域及其程度也经由实地调查与卫星影像监测,一一获得证实。  相似文献   

Interpretation of remote sensing of geological structures and prediction of gold mineralization in Mohe area and its adjacent region     

Ruiqing QIE Linfu XUE Shixiang LIU Yunliang YU 《东北亚地学研究》2007,10(1):88-94

The authors took the ETM ＋ multi-spectra data as the data information and correlation coefficient for each band and carried out their information volume statistics. According to certain criteria, the authors also determined the optimum band-combined image. The image clarity is improved by various enhancements and fusions method. Based on remote sensing geological interpretation in detail, the relationship between remote sens- ing geological characters and gold mine were analyzed systemically. Using all kinds of remote sensing structure information, combining other research data, the authors determined mainly ore-controlling ore structure. Several prospective areas of gold ores were determined and furthermore significant finding mine target areas was confirmed.  相似文献   

基于Radarsat和TM图像融合与分类的土壤盐渍化信息遥感监测研究   总被引：1，自引：0，他引：1  

依力亚斯江·努尔麦麦提  塔西甫拉提·特依拜  舒宁  王伯超  买买提沙吾提 《测绘科学》2009,34(1)

单一雷达影像数据通常不能提供足够的用以监测干旱地区盐渍化的信息。雷达图像与TM图像的融合可以提高遥感数据的利用率,增强数据的可靠性和信息的互补性,有助于提高分类精度。本文采用了GramSchmidt变换融合法将Radarsat和TM图像进行融合,并将该融合方法与一些常用融合方法(HIS融合、PCA融合、Brovey融合)进行了比较,结果表明该融合方法优于其他方法。最后采用支持向量机分类法(SVM)对Radarsat、TM融合后的图像进行了分类。结果表明:同单独Radarsat影像和TM影像分类结果相比,该融合分类法将分类精度分别提高了近30%和2%。因此该融合分类法更适合于遥感图像盐渍化信息监测。  相似文献   

基于USB协议的望远镜多波带控制系统设计     

肖江  胡柯良  邓元勇  骆丽 《天文研究与技术》2007,4(4):360-368

怀柔观测基地的多通道太阳望远镜是通过数十个电机调节晶体偏转角度实现多波带同时观测的自动控制。原有的计算机是通过一个串行接口控制若干个调波带的电机,响应时间长,速度慢且技术比较落后。本文利用当今流行的USB2.0芯片CYPRESS EZ-USB改造原有的串口通信控制系统,大大提高了响应的速度,同时,为解决一个USB应用程序控制多个电机转动的问题,提出了一种"编号"的方法。这样每个USB设备不论其插入顺序,PC主机都能通过识别其固定编号而加以区分,PC主机可以通过4个USB接口(16个电机)控制多通道太阳望远镜滤光嚣的调制角度,实现自动控制。这为大规模改造其他计算机接口提供了研制基础。  相似文献   

基于RS与GIS的北京市热岛研究   总被引：12，自引：0，他引：12  

张兆明  何国金  肖荣波  王威  欧阳志云 《地球科学与环境学报》2007,29(1):107-110

基于普适性单通道算法,利用2005年5月6日的TM数据反演北京市区的实际地表温度。在此基础上,分析了北京市区的热环境特征、热岛分布的位置。运用GIS空间分析工具,分析了地表温度与地形特征和地表覆盖类型之间的关系。结果表明,北京市热岛分布具有环状和带状分布特征,高程较低处和坡度较小处更容易形成热岛中心,不同地表覆盖类型的热特征具有显著的差异。  相似文献   

Topographic and spectral data resolve land cover misclassification to distinguish and monitor wetlands in western Uganda     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

Wetlands provide vital wildlife habitat and ecosystem services, but changes in human land use has made them one of the world’s most threatened ecosystems. Although wetlands are generally protected by law, growing human populations increasingly drain and clear them to provide agricultural land, especially in tropical Africa. Managing and conserving wetlands requires accurately monitoring their spatial and temporal extent, often using remote sensing, but distinguishing wetlands from other land covers can be difficult. Here, we report on a method to separate wetlands dominated by papyrus (Cyperus papyrus L.) from spectrally similar grasslands dominated by elephant grass (Pennisetum purpureum Schumach.). We tested whether topographic, spectral, and temperature data improved land cover classification within and around Kibale National Park, a priority conservation area in densely populated western Uganda. Slope and reflectance in the mid-IR range best separated the combined papyrus/elephant grass pixels (average accuracy: 86%). Using a time series of satellite images, we quantified changes in six land covers across the landscape from 1984 to 2008 (papyrus, elephant grass, forest, mixed agriculture/bare soil/short grass, mixed tea/shrub, and water). We found stark differences in how land cover changed inside versus outside the park, with particularly sharp changes next to the park boundary. Inside the park, changes in land cover varied with location and management history: elephant grass areas decreased by 52% through forest regeneration but there was no net difference in papyrus areas. Outside the park, elephant grass and papyrus areas decreased by 61% and 39%, mostly converted to agriculture. Our method and findings are particularly relevant in light of social, biotic, and abiotic changes in western Uganda, as interactions between climate change, infectious disease, and changing human population demographics and distribution are predicted to intensify existing agricultural pressure on natural areas.  相似文献   

Characterization of aboveground biomass in an unmanaged boreal forest using Landsat temporal segmentation metrics     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics. Results indicated that Wetness was the best Tasseled Cap (TC) component for aboveground biomass estimation (R² = 50%, RMSE% = 56%), and the combination of simple and complex metrics from all TC components produced the highest R² (62%) and lowest RMSE% (49%). Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environmental variables.  相似文献   

Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

Land cover classification of finer resolution remote sensing data is always difficult to acquire high-frequency time series data which contains temporal features for improving classification accuracy. This paper proposed a method of land cover classification with finer resolution remote sensing data integrating temporal features extracted from time series coarser resolution data. The coarser resolution vegetation index data is first fused with finer resolution data to obtain time series finer resolution data. Temporal features are extracted from the fused data and added to improve classification accuracy. The result indicates that temporal features extracted from coarser resolution data have significant effect on improving classification accuracy of finer resolution data, especially for vegetation types. The overall classification accuracy is significantly improved approximately 4% from 90.4% to 94.6% and 89.0% to 93.7% for using Landsat 8 and Landsat 5 data, respectively. The user and producer accuracies for all land cover types have been improved.  相似文献   

An ensemble pansharpening approach for finer-scale mapping of sugarcane with Landsat 8 imagery     

《International Journal of Applied Earth Observation and Geoinformation》2014

We tested the effects of three fast pansharpening methods – Intensity-Hue-Saturation (IHS), Brovey Transform (BT), and Additive Wavelet Transform (AWT) – on sugarcane classification in a Landsat 8 image (bands 1–7), and proposed two ensemble pansharpening approaches (band stacking and band averaging) which combine the pixel-level information of multiple pansharpened images for classification. To test the proposed ensemble pansharpening approaches, we classified “sugarcane” and “other” land cover in the unsharpened Landsat multispectral image, the individual pansharpened images, and the band-stacked and band-averaged ensemble images using Support Vector Machines (SVM), and assessed the classification accuracy of each image. Of the individual pansharpened images, the AWT image achieved higher classification accuracy than the unsharpened image, while the IHS and BT images did not. The band-stacked ensemble images achieved higher classification accuracies than the unsharpened and individual pansharpened images, with the IHS-BT-AWT band-stacked image producing the most accurate classification result, followed by the IHS-BT band-stacked image. The ensemble images containing averaged pixel values from multiple pansharpened images achieved lower classification accuracies than the band-stacked ensemble images, but most still had higher accuracies than the unsharpened and individual pansharpened results. Our results indicate that ensemble pansharpening approaches have the potential to increase classification accuracy, at least for relatively simple classification tasks. Based on the results of the study, we recommend further investigation of ensemble pansharpening for image analysis (e.g. classification and regression tasks) in agricultural and non-agricultural environments.  相似文献