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在西藏雅鲁藏布江中游要修建一大型水利工程,都需要先查明工程地区的地质情况,对基底稳定性做出评价、工程设计和施工提供地质依据。为此运用遥感与GIS技术对雅鲁藏布江区域进行遥感地质调查,本文通过项目的实践研究,对遥感在区域地质调查中的遥感片种及谱段的选择、图像处理、解译标志的建立、构造断裂地层断层以及地质灾害等方面的解译以及GIS地质制图中需要注意的问题等方面的认识作了总结。 相似文献
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农作物遥感分类识别中应用遥感解译和地理信息等技术手段,为农作物种植结构调查工作奠定了基础。在每年度的高分辨率遥感影像的基础上,按照统一的技术标准,在自动解译分类的基础上辅以人工,快速获得每年度主要的农作物耕地图斑,完成本年度的农作物种植结构调查工作。遥感技术的应用加快了农作物种植结构调查各个环节的数据流动,提高解译准确率,数据的采集精度和时效性都要比以往的效果更好,可为有效落实耕地轮作休耕等政策提供技术和数据支持。本文以逊克县为试验区,针对当前农作物分类工作过程中应当注意的问题进行分析与整理,总结经验和方法,更好地将遥感技术应用到农作物种植结构调查工作中去。 相似文献
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为了更加科学、合理地采集符合规程要求的遥感影像解译样本数据,更加真实客观地反映地表覆盖的影像特征,快速高效地完成外业采集工作,笔者根据山区实际特点,结合具体项目实践,利用地理空间分析方法,从采集路线规划、样本点采集布置等方面进行了分析和探讨,为开展相关外业数据采集工作提供借鉴。 相似文献
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地理国情普查主要是查清我国地形地貌、地表覆盖等自然和人文地理要素的现状和空间分布情况,建立普查成果数据库,为开展常态化的国情监测奠定基础。正确理解吉林省地理国情普查技术设计和作业指导书,以及国情普查的内容与指标,进行外业核查与遥感影像解译样本采集工作,为最终形成地理国情要素数据、地表覆盖分类数据和遥感影像解译样本数据库奠定基础。 相似文献
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自农村房地一体不动产确权登记工作启动以来,由于各地的基础工作实际情况不一,该项工作一直面临着工期短、任务重、缺少工作底图基础数据、权籍调查入户取证困难等痛点问题。作者所在单位参与了台州市天台县农村宅基地及住房确权登记发证项目,提出了将倾斜摄影技术应用于房地一体不动产确权登记,通过无人机倾斜摄影技术建立实景三维模型,并基于实景三维模型开展权籍调查和不动产测量,解决了工作底图缺少、入户困难等问题,实现了宅基地和房屋等不动产基础权籍数据的“非现场”内业采集,提高了作业效率,节省了外业成本,能有效降低总体工时。 相似文献
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立足湖南省河湖管理现状和已有基础资料拥有情况,根据相关政策法规和技术规范,从工作原则、已有资料利用、划界标准、技术路线、工作组织模式等方面科学地设计了一套河湖管理范围划定技术方案和工作组织实施方案。方案充分利用了全省不动产统一登记基础数据等已有资料,能够确保划界成果与国土资源部门正在开展的不动产统一登记、自然资源统一确权登记等工作有效衔接,能够确保全省各地的工作处在同一起跑线上,有利于成果的共享应用,有利于保障划界成果的质量,有利于节省项目成本,有利于缩短工作周期,能够为全省以及国内其他省内即将全面开展的河湖管理范围划定工作提供参考。 相似文献
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针对地面沉降监测技术的快速发展以及所获取监测成果数据日益丰富,但监测数据的管理手段与展示方式未能及时跟上的现象,研发了平湖市地面沉降监测信息系统。平湖市地面沉降监测系统将数据库技术、数字地图技术、Web电子地图技术相结合,实现对地面沉降监测数据的科学管理和空间信息化展示。 相似文献
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全面、现势的土地利用基础图件是一个国家摸清其土地资源家底,进行土地资源合理利用、规划和科学管理的基础和前提条件。本文从数据源、处理手段与采用的技术方法对土地利用基础图件更新的技术体系进行了研究,基于图件更新技术流程的三个主要环节对图件更新方法进行了系统分析和分类总结,继而提出了一套集RS/GIS/GPS技术于一体的图件更新技术方法与流程;同时依托具有自主知识产权的遥感数据处理平台CASM Im-ageInfo,将整个作业流程一体化,构建了适合我国具体国情的实用和可操作性强的土地利用基础图件更新软件系统,实现了土地利用基础图件的快速更新。 相似文献
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主要介绍了利用QuiekBird影像结合GPS RTK绘制土地利用现状图的基本技术流程以及相关技术.结合实际生产过程,对遥感影像数据的融合、地面控制点的布设与测量、Quick Bird影像的几何精校正、土地利用现状图的编绘等问题进行了探索.实践结果表明,利用QuickBird影像结合GPS RTK绘制土地利用现状图是一种周期短、见效快、效率高、花费少的切实可行的方法. 相似文献
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Ndr Krishna A K Maji YVN Krishna Murthy BSP Rao 《Journal of the Indian Society of Remote Sensing》2001,29(3):107-113
Availability of remote sensing data from earth observation satellites has made it convenient to map and monitor land use/land cover at regional to local scales. A land cover map is very critical for a various planning activities including watershed planning. The spectral and spatial resolutions are major constraints for mapping the crop resources at microlevel. The cropping pattern zones have been mapped using the false color composite, physiography, irrigation and toposheets. The IRS LISS-III data is classified into various categories depending on spectral reflectance from crop canopy and are overlaid on cropping zones map. The re-classified resultant map provides land use/land cover information including dominant cropping systems. The canopy cover is estimated monthly considering the crop calendar for the area. 相似文献
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A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. We used 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge’s life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5 m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in). 相似文献
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The present study demonstrates the use of NRCS-CN technique for rainfall-induced run-off estimation using high-resolution satellite data for small watershed of Palamu district, Jharkhand. The CN model was applied to the daily rainfall data of 15 years (1986–2000) along with use of large-scale thematic maps (1:10,000) pertaining to land use/land cover using IRS-P6 LISS-IV satellite data. The LU/LC map was spatially intersected with the hydrological soil group map to calculate the watershed area under different hydrological similar units for assigning CN values to compute discharge. The study showed that Daltonganj watershed exhibits an average run-off volume of 7,881,019 m3 from an average cumulative monsoon rainfall of 821 mm and the average actual direct run-off generated during the southwest monsoon season was 203 mm. The strong correlation between rainfall and run-off as well as between observed run-off and estimated run-off indicated high accuracy of run-off estimation by NRCS-CN technique. 相似文献
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S. Biswal A. Ghosh R. Sharma P. K. Joshi 《Journal of the Indian Society of Remote Sensing》2013,41(3):523-530
In this study we explored the potential of open source data mining software support to classify freely available Landsat image. The study identified several major classes that can be distinguished using Landsat data of 30 m spatial resolution. Decision tree classification (DTC) using Waikato environment for knowledge analysis (WEKA), open source software is used to prepare land use land cover (LULC) map and the result is compared with supervised (maximum likelihood classifier – MLC) and unsupervised (Iterative self-organizing data analysis technique - ISODATA clustering) classification techniques. The accuracy assessment indicates highest accuracy of the map prepared using DTC with overall accuracy (OA) 92 % (kappa = 0.90) followed by MLC with OA 88 % (kappa = 0.84) and ISODATA OA 76 % (kappa = 0.69). Results indicate that data set with a good definition of training sites can produce LULC map having good overall accuracy using decision tree. The paper demonstrates utility of open source system for information extraction and importance of DTC algorithm. 相似文献