基于CAD和GIS集成技术进行房屋分布图成图的方法

提出了一种在CAD和GIS集成平台上进行房屋平断面图成图的方法,包含房屋属性的录入和管理,房屋自动编号、房屋照片批量重命名、房屋分布图批量输出和照片自动加载排版,改变了以往房屋分布图成图的模式。应用表明,该方法能够显著提高出图效率和质量。     

北京市新冠肺炎疫情信息平台的设计与实现

基于SuperMap iServer平台和天地图底图服务,建立北京市新冠肺炎疫情信息平台,通过将疫情信息细化到街道、乡、镇级别,实现了北京市疫情中高风险地区图、各区无新增病例分布图、各区累计本地确诊病例分布图、确诊病例市场分布图和核酸检测机构分布图等五类专题的查询和展示。通过建立每日更新的机制,及时向社会公众发布疫情信息,为疫情防控决策提供了参考和支持。     

澜沧江流域地理要素与经济水平关系的分析

结合流域内的河网分布图、居民点分布图、DEM等数据,应用ArcGIS软件的空间分析功能,深入分析了流域内经济水平同地理要素的关系,为流域内水资源的合理利用和流域地区的经济决策提供了科学依据。     

江苏省地图库系统的总体设计及关键技术研究

江苏省地图库系统是江苏省地理空间信息基础框架建设的重要内容之一,系统建立的统一、高效的软件平台对省级基础测绘DLG成果资料进行科学有效的管理,方便快捷地实现了测绘资料的检索查询、数据整理、资料分发等业务的流程化和信息化管理,为省级地理空间信息基础框架建设奠定了基础。     

特定比例尺下利用Python&Arcgis快速制作地块分布图方法研究

在农村土地承包经营权确权登记过程中,为将登记和调查结果予以公示以及确保登记颁证工作客观、公平、公正和透明,公示之前需要制作特定比例尺下相应的地块分布图。但在确权登记过程中,内业人员需要制作特定比例尺的地块分布图数量少则几百,多则上千,加大了内业人员的作业强度以及作业难度。针对此问题,提出了一种在特定比例尺下利用ArcgisPython的快速制作地块分布图方法,只需通过简单的人机交互,就能制作出符合规范的地块分布图,通过应用,证明该方法实用有效。     

瓦片式震中分布图生成及局部自动更新

针对目前在线震中分布图存在的问题,提出瓦片式地震震中分布图。使用ArcGIS Engine开发瓦片切图工具及局部瓦片自动更新程序,结合Google Maps实现瓦片式震中分布图的展示。基于Web GIS的瓦片式震中分布图在显示历史地震和最新地震方面较以往在线震中分布图有很大改善,瓦片局部自动更新程序也克服了瓦片式地图本身更新速度慢的缺陷。     

江苏省新冠肺炎疫情地图移动平台设计与实现

新冠肺炎的暴发成了全球性重大公共卫生事件。此处从地理信息技术角度出发,结合移动互联网技术和大数据分析展示技术,围绕整合各类疫情信息,及时发布疫情发展状况,发布权威数据,指导公众快速查询定点机构等需求,通过数据获取、整合建库、综合分析和平台展示的方式,开展了江苏省新冠肺炎疫情地图移动平台设计和实现,为政府相关部门防控和社会公众提供了公报、分布图和综合查询等功能,为本次新冠肺炎疫情防控提供了帮助,为政府单位发布信息和社会公众了解疫情状况提供平台支撑。通过系统建设为公共卫生应急管理系统建设提供了思路,并提出了未来研究的思路。     

SAR数据在南方水稻分布图快速更新中的应用方法研究

研究表明,SAR数据对水稻识别和作物长势监测很有潜力。本文研究了在GIS的支持下,用SAR数据对南方水稻分布图进行快速更新的方法。首先,对多时相的SAR数据进行GammapMap滤波、几何精纠正和辐射干扰校正等处理;然后,采用最大似然法进行有监分类,获得水稻分布图;最后,对新、旧水稻分布图作标识码的Overlay处理,即可将水稻分布图更新。结果表明,该方法具有可操作性强,分类、制图精度高的特点。     

基于GIS的江苏省劳动保障网格化维护系统建设

摘要江苏省劳动保障网格化维护系统是以为网格化管理为指导,通过“3S”（GIS、GPS、RS）技术、计算机技术、网络技术、数据库等先进技术为支撑,实现基础地理数据编辑与维护、劳动保障监察网格化管理与维护、企事业单位标注模块的开发与应用,全面实现江苏省劳动保障监察网格化数据的信息化维护与管理。以创新监管方式为手段,为江苏省劳动保障网格化监察工作提供信息化决策依据,促进劳动保障事业的全面发展进步。     

责任共担 防线共建——江苏省如东县创建土地执法模范县的经验

近年来,江苏省如东县以创建“土地执法模范县”为抓手,以落实土地管理共同责任机制为主攻方向,全面构建“责任共担、关口共守、防线共建、难题共解”的土地管理“四共”新机制,形成了“大家管、大家用”的土地管理新格局,有力保护了资源、保障了发展、维护了权益.2011年以来,如东县连续3年被评为“江苏省土地执法模范县”,连续7年在南通市国土资源局和县委、县政府年终综合考核中,被评为先进单位.     

Feasibility of mapping economically important forest species using Landsat data—a case study

The potentialities of satellite remote sensing for acquiring informations useful for forest management have already been recognised. The analysis of satellite data can provide reconnaissance survey maps showing the spatial distribution of forest type and other useful information of the existing forest resources in the area in very short time. The present study has been carried out in Godavari river Basin, Nallamalai and Seshachalam hiil ranges, which are potential areas for Teak, bamboo and red-sanders respectively. The three Landsat scenes have been analysed using Multispectral Data Analysis System (M-Das) to make maps on 1:250,000 scale. The Computer classified colour coded maps show the spatial distribution of the industrially important species and association with other forest types existing in the area. The results have been discussed in the context of using Landsat data for reconnaissance survey of forest resources at a national level.     

Modeling potential forest fire danger using modis data

Generation of fire danger maps play a vital role in forest fire management like forest fire research, locating lookout towers, risk assessment and for various other simulation studies. The present study addresses remote sensing and GIS applications in generating fire danger maps for tropical deciduous forests. Fire danger variables such as fuel type, topography, temperature, and relative humidity have been used in modeling fire danger. Information on local climate patterns and past fire records has been used to derive fire frequency map of the study area. Intermediate indices were derived using multiple regressions, where fire frequency data is taken as dependent variable. Results indicate that forests near human settlements are more vulnerable to forest fires.     

南京市林地调查数据整合分析

第三次国土调查与自然资源专项调查成果的分析集成，是自然资源管理工作的重要基础。本文以南京市林地调查数据的整合为切入点，进行第三次国土调查与森林资源规划设计调查数据交叉分析、林地分类标准梳理及映射、空间冲突规则制定、林地调查数据整合流程探索，为构建自然资源调查“一张底图”提供借鉴。     

Utility of landsat coverage in small scale geomorphological mapping-some examples from India

With the launching of LANDSAT—1 in 1972 followed by LAND-SAT-2 and 3 in 1975 and 1978 respectively, a new tool is now available to earth scientists for a synoptic overview of the earth forms. Existing small scale geological maps, soil maps and forest resource maps are constantly being updated with the help of LANDSAT imagery. The paper highlights the utility of LANDSAT imagery in preparing small scale geomorphological maps by citing examples from such diversified terrains as the Himalaya and rain forest area in the north and NE India and part of east coast. The advantage of conjunctive use of space craft, aircraft and ground data in enhancing the detail and quality of the map is discussed. Further the direct relationship between landform and landuse is brought out in the map. The methodology provides a basis for preparing a small scale geomorphological map for the country, the like of which does not exist so far. In addition, the map provides a basis for attracting attention on exploration of minerals, ground water, morphoconservation, flood protection programming and coastal management. The nominal cost and speed of preparing such map are discussed.     

Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda

Background  

Assessing biomass is gaining increasing interest mainly for bioenergy, climate change research and mitigation activities, such as reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+). In response to these needs, a number of biomass/carbon maps have been recently produced using different approaches but the lack of comparable reference data limits their proper validation. The objectives of this study are to compare the available maps for Uganda and to understand the sources of variability in the estimation. Uganda was chosen as a case-study because it presents a reliable national biomass reference dataset.     

Fuel type mapping using object-based image analysis of DMC and Landsat-8 OLI imagery

Efficient forest fire management requires precise and up-to-date knowledge regarding the composition and spatial distribution of forest fuels at various spatial and temporal scales. Fuel-type maps are essential for effective fire prevention strategies planning, as well as the alleviation of the environmental impacts of potential wildfire events. The aim of this study was to assess and compare the potential of Disaster Monitoring Constellation and Landsat-8 OLI satellite images (Operational Land Imager), combined with Object-Based Image Analysis (GEOBIA), in operational mapping of the Mediterranean fuel types at a regional scale. The results showcase that although the images of both sensors can be used with GEOBIA analysis for the generation of accurate fuel-type maps, only the OLI images can be considered as applicable for regional mapping of the Mediterranean fuel types on an operational basis.     

《江苏省领导工作用图》的设计思想

本文阐述了《江苏省领导工作用图》2013年第一版的生产情况和设计思想。对《江苏省领导工作用图》编制工作进行经验总结和设计思想的剖析,有利于该地图作品的更新完善,有利于提高测绘部门为政府服务的综合实力,也可为编制同类地图作品提供参考。     

Time-Series Analysis of Land Cover Using Landscape Metrics

Time series of thematic land-cover maps are used to measure changes in land cover over time. However, pixel-to-pixel comparisons of such maps are often not advisable when these maps are generated from different sources (i.e., satellite data, aerial photography, or historical land survey data). The purpose of this study was to examine the historical changes in land cover from 1827 to 1999 using landscape metrics calculated on maps created from different sources. Regression and power law analyses were conducted to identify significant trends and threshold effects associated with land-cover change at Fort Benning, Georgia. Results indicated that since 1827 the landscape has become more fragmented with the introduction of farming, military training, and forest management practices.     

基于ArcGIS API for JavaScript的森林抚育成效监测专题图研究

为了及时掌握森林抚育的实施情况,科学评价政策实施绩效,准确反映森林抚育对森林生长和效益等各方面的影响,建立森林抚育成效监测体系。本文首先对森林抚育成效监测的相关业务调查分析,总结了现阶段森林抚育成效监测的主要内容,分析适用于森林抚育成效监测专题地图的可视化表达机制,设计并实现了森林抚育成效监测专题图表达框架。并针对ArcGIS API for JavaScript没有提供图表专题类的问题,提出了一种与ECharts图表库相结合制作专题图的方法。此方法通过Canvas方式在客户端生成统计图表,具有丰富的图表类型和强大的交互功能,能够满足不同数据的处理需求,丰富了统计图表专题图表达形式,让数据呈现更加完美,能满足各种用户的制图需求。     

Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage

The U.S. has been providing national-scale estimates of forest carbon (C) stocks and stock change to meet United Nations Framework Convention on Climate Change (UNFCCC) reporting requirements for years. Although these currently are provided as national estimates by pool and year to meet greenhouse gas monitoring requirements, there is growing need to disaggregate these estimates to finer scales to enable strategic forest management and monitoring activities focused on various ecosystem services such as C storage enhancement. Through application of a nearest-neighbor imputation approach, spatially extant estimates of forest C density were developed for the conterminous U.S. using the U.S.’s annual forest inventory. Results suggest that an existing forest inventory plot imputation approach can be readily modified to provide raster maps of C density across a range of pools (e.g., live tree to soil organic carbon) and spatial scales (e.g., sub-county to biome). Comparisons among imputed maps indicate strong regional differences across C pools. The C density of pools closely related to detrital input (e.g., dead wood) is often highest in forests suffering from recent mortality events such as those in the northern Rocky Mountains (e.g., beetle infestations). In contrast, live tree carbon density is often highest on the highest quality forest sites such as those found in the Pacific Northwest. Validation results suggest strong agreement between the estimates produced from the forest inventory plots and those from the imputed maps, particularly when the C pool is closely associated with the imputation model (e.g., aboveground live biomass and live tree basal area), with weaker agreement for detrital pools (e.g., standing dead trees). Forest inventory imputed plot maps provide an efficient and flexible approach to monitoring diverse C pools at national (e.g., UNFCCC) and regional scales (e.g., Reducing Emissions from Deforestation and Forest Degradation projects) while allowing timely incorporation of empirical data (e.g., annual forest inventory).