中国最富十强县排出座次

2005年9月17日，2005中国最发达县域经济论坛在浙江省绍兴星开幕，国家统计局副局长邱晓华公布中国十强县最新排名，中国经济最发达十强县（市）已排定座次，分别是：江苏昆山市、广东顺德区、江苏江阴市、江苏张家港市、江苏常熟市、广东南海区、浙江萧山区、江苏武进区、浙江绍兴县、江苏太仓市。这次的排名与去年相比有两大变化，江苏昆山市取代连续四年稳居榜首的广东顺德区，摘得冠军，江苏太仓市取代江苏吴江市进入十强。     

佛山市顺德区国土资源局宣传工作巡礼

~~佛山市顺德区国土资源局宣传工作巡礼     

加快农村集体土地管理制度改革步伐促进土地资源高效合理集约利用

为适应广东省佛山市顺德区率先基本实现现代化的发展需要,配合农村体制改革的进一步深化,解决现行的农村集体土地管理制度与城市化、市场化和经济全球化的发展趋势不相适应的矛盾,我区开展了农村集体土地管理制度的一系列改革,并于2001年10月被国土资源部和国务院法制办列为农村集体土地管理制度改革试点。两年来,     

区县级多源异构空间数据共享平台研究及应用

针对区县级空间数据凌乱、共享程度低、应用效率不高等现状,充分考虑区县级政府部门对多源异构地理空间数据资源共建共享的需求,基于Web Service和ArcGIS Server技术,构建了包含数据管理、运维管理、共享交换、公共服务等四大子系统为核心的多源异构空间数据共享服务平台框架,并在佛山市顺德区成功应用,实现了区县级多源异构空间数据的集成与共享。     

基于前置机的空间数据共享交换技术研究及应用

为了解决空间数据共享交换的安全性问题,设计了"交换中心+交换前置机"的解决方案,开发了数据共享交换管理系统,并在顺德区政务地理信息平台中进行应用,实现了基础空间数据和专题空间数据在政务内网与公安专网、三防专网等不同网络环境和部门之间的共享和交换。     

顺德区基础测绘成果保密系统建设

为响应国家法律法规对基础测绘成果的安全保密要求,通过技术手段加强测绘数据的保密管理,顺德区开展了基础测绘成果保密系统的建设和应用,从实际需求出发,提出系统性的解决方案、技术原理、系统架构和加密流程,通过文件加密、实体加密、数字水印等保密手段,为测绘数据生产、加工、存储、应用等环节提供安全保障,在基础测绘成果应用当中起到了很好的保护作用,在测绘地理信息保密工作中具有较好的参考意义。     

职位无论高低 干事创业就行——记广东省佛山市顺德区国土城建和水利局测绘科副科长童凤娇

正广东省佛山市顺德区国土城建和水利局信息测绘科副科长,测绘奖章、测绘科技进步奖、"巾帼建功"先进个人获得者,测绘高级工程师童凤娇,在平凡的工作岗位上做出了突出的贡献,深得全局同事、领导和测绘服务对象的爱戴。不管是年长的还     

广东省“三旧”改造潜力评价系统设计与实现

本文通过建立“三旧”改造潜力评价系统,将评价流程与结果展示高度集成,从潜力评价原理、系统总体架构、数据结构、系统功能等方面对广东省“三旧”改造潜力评价系统进行详细设计.以顺德区“三旧”改造地块为研究对象,通过系统评价形成图、表等研究成果,成果基本反映了该区“三旧”地块改造的相对价值.系统及应用结果为政府及“三旧”改造管理部门提供决策工具和信息参考.     

政务数据与空间数据集成应用机制研究与实践

针对实践过程中流程不明晰、制度保障不足、技术支撑待提升等难题,在综合分析政务数据与空间数据集成应用的基础上,提出了一套集工作职责、工作流程、保障措施、技术支撑于一体的机制,并在佛山市顺德区进行了应用实践,实现了全区政务数据与地理空间数据的持续共享和融合集成,有力支撑了智慧城市建设,取得了良好的应用效果。     

基于多源数据的城市建设用地扩张时空特征分析——以佛山市顺德区为例

随着我国城市化进程的加快,城市建设用地规模进一步增加,同时带来交通拥堵、环境污染、绿地减少、城市热岛等城市问题。本文综合利用2015年地理国情普查数据、2011和2013年遥感数据,通过建立城市扩张强度指数,运用统计分析、空间聚类等方法,确定了顺德区建设用地在过去4年间年均增长率为1.8%,其中新城区的年均增长率超过14%;此外还发现主城区的扩展模式主要为填充式扩展,其中大良街道和勒流街道主要为工业园区的扩展,伦教街道主要为中央公园的扩展,容桂街道主要为物流园的扩展。     

济南泉域土地利用动态变化及驱动力研究

基于Arc/Info、ArcView等地理信息系统技术支持,利用遥感和非遥感信息资料,对1995～2000年济南泉域的土地利用变化进行了动态研究,求得泉域土地利用动态变化的转值矩阵,据此分析了近几年济南泉域土地利用变化的空间过程。     

Carbon fluxes resulting from land-use changes in the Tamaulipan thornscrub of northeastern Mexico

Information on carbon stock and flux resulting from land-use changes in subtropical, semi-arid ecosystems are important to understand global carbon flux, yet little data is available. In the Tamaulipan thornscrub forests of northeastern Mexico, biomass components of standing vegetation were estimated from 56 quadrats (200 m² each). Regional land-use changes and present forest cover, as well as estimates of soil organic carbon from chronosequences, were used to predict carbon stocks and fluxes in this ecosystem.     

基于ArcGIS的土地用途分区研究

土地用途分区是土地利用总体规划的重要组成部分,是确定土地用途和采取具体土地利用措施的主要依据之一。GIS的空间分析功能可以辅助土地利用变化分析,完成土地适宜性评价以及土地利用结构和布局调整等规划任务,并根据未来土地用途管制要求,划定和调整土地用途分区。文章以葫芦岛市龙港区土地资源作为研究对象,应用GIS的空间叠置统计分...     

基于ARCGIS的县(市)级土地利用数据库建设——以重庆市奉节县为例

本文以重庆市奉节县为例,探讨了ArcGIS基础上建立县(市)级土地利用数据库的技术流程,对其中的图形数据采集、投影变换、图斑属性数据输入、拓扑和数据变更等作了具体说明。土地利用数据库各类信息的广泛应用,使国土资源土地利用现状资料管理进入科学化、规范化的轨道。     

GIS与SPSS集成分析区域土地利用变化

利用遥感、专题地图及自然与社会经济统计等数据,在GIS技术的支持下,建立了吉林省镇赉县土地利用变化专题数据库;利用SPSS软件,对引起镇赉县土地利用变化的驱动力因子进行分析,建立因子分析模型,分析该区域土地利用变化的驱动因素;提出土地优化利用策略,为区域土地可持续利用及环境保护提供科学依据。     

西安市土地利用现状图更新中多源数据的应用

介绍一种综合利用高分辨率遥感数据、土地利用现状数据、各种调查数据和GPS采集等多源数据进行土地利用现状数据更新的方法。     

Analysis of the influential factors for changes to land use in China’s Xingwen Global Geopark against a tourism development background

This study employs geographic information system software to explore the influences of elevation, slope, the river system, traffic arteries and the central development zone on the land-use changes in Shihai between 1995 and 2010. Data were drawn from statistics from the first two remote sensing investigations of land use in the town of Shihai in China’s Xingwen Global Geopark and its digital elevation model data. An analysis of the relationships between changes in land use was performed using relevant models, including a comprehensive land-use dynamic degree model, a single land-use dynamic degree model and a comprehensive index model for the extent of land use. The results suggest that a combination of natural and human factors influenced the changes in Shihai’s land use during the time from 1995 to 2010. First, elevation and slope exerted environmental resistance. Specifically, as elevation or slope increased, the extent of change in land use decreased, despite local policies that have reduced the extent of this resistance. Second, the river system influenced land use such that, as distance from the river increased, changes in land use decreased and then increased, suggesting that the river has a resistant as well as propulsive influence. Third, traffic arteries and the central development zone created an environmental motivation to the changes in Shihai’s land use; specifically, the evolving tourism industry results in increasing numbers of tourist trails and roads and continually expanding Geopark services’ infrastructure. Thus, relatively more dramatic changes are experienced in the Geopark’s proximate land use than in its surroundings.     

Monitoring land-use change by combining participatory land-use maps with standard remote sensing techniques: Showcase from a remote forest catchment on Mindanao,Philippines

This paper combines participatory activities (PA) with remote sensing analysis into an integrated methodology to describe and explain land-cover changes. A remote watershed on Mindanao (Philippines) is used to showcase the approach, which hypothesizes that the accuracy of expert knowledge gained from remote sensing techniques can be further enhanced by inputs from vernacular knowledge when attempting to understand complex land mosaics and past land-use changes. Six participatory sessions based on focus-group discussions were conducted. These were enhanced by community-based land-use mapping, resulting in a final total of 21 participatory land-use maps (PLUMs) co-produced by a sample of stakeholders with different sociocultural and ecological perspectives. In parallel, seven satellite images (Landsat MSS, Landsat TM, Landsat ETM+, and SPOT4) were classified following standard techniques and provided snapshots for the years 1976, 1996, and 2010. Local knowledge and collective memory contributed to define and qualify relevant land-use classes. This also provided information about what had caused the land-use changes in the past. Results show that combining PA with remote-sensing analysis provides a unique understanding of land-cover change because the two methods complement and validate one another. Substantive qualitative information regarding the chronology of land-cover change was obtained in a short amount of time across an area poorly covered by scientific literature. The remote sensing techniques contributed to test and to quantify verbal reports of land-use and land-cover change by stakeholders. We conclude that the method is particularly relevant to data-poor areas or conflict zones where rapid reconnaissance work is the only available option. It provides a preliminary but accurate baseline for capturing land changes and for reporting their causes and consequences. A discussion of the main challenges encountered (i.e. how to combine different systems of knowledge), and options for further methodological improvements, are also provided.     

A spatially explicit modeling approach to explore scenarios of sustainable agriculture futures

The transition to agricultural sustainability involves difficult choices and an understanding of the complex trade-offs associated with agricultural activities. Decision support tools and techniques assist in making the informed decisions for a transition to sustainable agriculture. Georgia Basin — Quite Useful Ecosystem Scenario Tool (GB-QUEST) is a computer-based, user-friendly tool that has been developed to look at the future sustainability scenarios of the Georgia Basin in British Columbia. The objective of this paper is to describe the agricultural model that has been developed for implementation in GB-QUEST. We present its framework, spatial methodology for land-use simulation, and the initial results of its application. The agriculture model is a spatial model that examines the social, economic and environmental consequences of user-defined agricultural development strategies. The model simulates changes in the Georgia Basin from the year 2000 to 2040 in decadal steps. User choices of local and global development factors, along with their "worldview" choices, are important inputs in the model that determine the effects on environmental and socio-economic systems. The model has two components — Generation of land-use scenarios, and Development of Indicator models. The first component uses cell-based spatial algorithms to simulate likely changes/conversions in land-use up to the year 2040. The approach used here integrates the functionality of Multi-Criteria Evaluation (MCE) and Cellular Automata (CA) techniques in order to simulate the land-use conversions. It uses Geographic Information Systems (GIS) and remote sensing techniques for creating, storing and deriving the data sets required for the model. The second component develops the indicator models for relating scenario variables to socio-economic and environmental variables such as physical and economic yields, economic operation costs and nutrient surplus per unit area. These indicator models are used to evaluate land-use scenarios generated by the users. The model encourages understanding of sustainability, by allowing one to explore different possible scenarios of the future for their environmental and socio-economic consequences.     

Assessing land-use and carbon stock in slash-and-burn ecosystems in tropical mountain of Laos based on time-series satellite images

In the tropical mountains of Southeast Asia, slash-and-burn (S/B) agriculture is a widely practiced and important food production system. The ecosystem carbon stock in this land-use is linked not only to the carbon exchange with the atmosphere but also with food and resource security. The objective of this study was to provide quantitative information on the land-use and ecosystem carbon stock in the region as well as to infer the impacts of alternative land-use and ecosystem management scenarios on the carbon sequestration potential at a regional scale. The study area was selected in a typical slash-and-burn region in the northern part of Laos. The chrono-sequential changes of land-use such as the relative areas of community age and cropping (C) + fallow (F) patterns were derived from the analysis of time-series satellite images. The chrono-sequential analysis showed that a consistent increase of S/B area during the past three decades and a rapid increase after 1990. Approximately 37% of the whole area was with the community age of 1–5 years, whereas 10% for 6–10 years in 2004. The ecosystem carbon stock at a regional scale was estimated by synthesizing the land-use patterns and semi-empirical carbon stock model derived from in situ measurements where the community age was used as a clue to the linkage. The ecosystem carbon stock in the region was strongly affected by the land-use patterns; the temporal average of carbon stock in 1C + 10F cycles, for example, was greater by 33 MgC ha⁻¹ compared to that in 1C + 2F land-use pattern. The amount of carbon lost from the regional ecosystems during 1990–2004 periods was estimated to be 42 MgC ha⁻¹. The study approach proved to be useful especially in such regions with low data-availability and accessibility. This study revealed the dynamic change of land-use and ecosystem carbon stock in the tropical mountain of Laos as affected by land-use. Results suggest the significant potential of carbon sequestration through changing land-use and ecosystem management scenarios. These quantitative estimates would be useful to better understand and manage the land-use and ecosystem carbon stock towards higher sustainability and food security in similar ecosystems.