遥感与地理信息系统在土地利用动态监测中的应用

通过国内外研究动态和RS与GIS在土地检测中的实际应用,阐述了遥感与地理信息系统在土地利用动态监测中的应用,论证了遥感与地理信息系统在土地利用动态监测中的应用方法,得出了利用遥感与地理信息系统技术监测土地利用变化可快速发现并能反应研究区域的变化趋势.RS,GIS技术的结合也为有效进行土地利用动态监测和快速决策提供了科学...     

基于TM遥感影像的杨凌示范区城区扩展分析

利用卫星遥感影像进行城市扩展研究,是当今遥感应用研究的热点和对城市化进程进行跟踪检测的有效手段,也是解决城市化进程中出现的各种问题、提高城市管理水平的一项新技术。本文阐述了采用杨凌地区1986年、1995年和2003年三景TM遥感影像,利用遥感(RS)和地理信息系统(GIS)软件获取的数据源,研究杨凌示范区的城市扩展变化情况及扩展趋动力分析。     

利用多平台遥感数据复合研究城市扩展的动态监测

本文利用不同时期的多平台遥感数据,研究了城市动态扩展的监测方法。文中采用了分类结果复合方法,在高速发展的岳阳地区的试验中,取得了良好的效果。在遥感图像的城市信息提取方面,设计了多个不同大小的权系数模板,提取相应的频数矢量作为城市的结构信息。利用这种结构信息,对城市图像进行逐步的结构处理,最终精度在91.7％以上。试验表明,本方法不仅对于一个实用的动态监测系统是一种灵活、实用性较强的监测方法,而且是解决充分利用已有遥感信息资源的有效手段。     

遥感影像用于城市扩展监测的研究

通过焦作市城市扩展监测的实践,对以多时相遥感影像监测城市扩展进行了研究,阐述了以地形图及TM遥感影像为数据源,利用RS和GIS软件进行图像处理,提取城区扩展的变化信息,并对其扩张变化的主要方向、速度及规律进行监测和分析;论述了交通建设、政策法规、经济投资区的建设和当地的自然地理环境对城市的扩展速度和方向的影响。     

城市遥感图像的地理分析与城市空间格局演变研究

采用遥感(RS)和地理信息系统(GIS)一体化技术,以义乌市为例,通过对城市遥感图像进行地理分析,对城市空间格局演变进行动态监测和模拟,并结合区域经济统计数据,展开城市空间格局演变特征分布及其动力机制分析。结果表明,城市空间格局演变是多种驱动力作用的结果。     

基于空间信息技术的珠海城市建设用地扩展研究

城市建设用地扩展是城市化的显著特点之一,通过对城市建设用地扩展的研究,为城市有效控制城市扩展规模、合理分配土地、优化土地利用布局、调整土地政策指明正确的方向。随着科技的发展,空间信息技术有效地加强了城市建设用地扩展的动态监测,为研究城市建设用地扩展情况提供了有力的支持。论文基于2003年、2005年和2013年三期珠海市遥感影像数据,借助ENVI,ArcGIS软件,对影像进行预处理,使用剔除法提取珠海市建设用地信息,探究珠海市建设用地扩展特点和扩展因素。     

郑州城市空间扩展特征及其驱动因素分析

以遥感与GIS为技术支撑,对郑州市1976-2004年城市建成区面积进行了动态监测,并对郑州28 a来城市空间扩展特征和驱动因素进行了分析。结果表明,郑州市建成区从1976-2004年面积增加了5.81倍,平均每年扩展10.75 km^2。其扩展占用的土地利用类型主要是耕地,其次为农村居民点和其他建设用地,还有一些林地、水库和沼泽地。社会经济因素是建成区扩展的内在推动力,经济发展、政策和规划等是建成区扩展的主要驱动力。通过郑州建成区遥感监测,了解城市空间扩展规律,对正确处理城市扩展与占用土地的关系具有重要意义。     

基于多源高分辨率卫星影像的兰州市城镇扩展年度动态监测分析

遥感图像的多时相特性为城镇扩展动态监测提供了可供定性及定量分析的丰富来源。本文应用2009~2014年的多源高分辨率遥感卫星影像数据对兰州市城镇扩展进行了年度动态遥感监测分析,监测结果表明:兰州市近几年城镇扩展年际变化明显,与人口、经济和政策的驱动作用紧密相关。基于多源高分辨卫星影像进行城镇扩展年度动态监测的方法具有实用性,并且监测频次高、精度高,更具现势性。     

基于遥感影像的天津市土地利用时空变化研究

利用卫星遥感影像来研究城市扩展,使用遥感手段提取各时间段内城市的建设区域,并分析扩张过程的时空特征,与传统研究土地利用动态监测的方法比较,具有很大优势.本文以天津市作为研究区域,基于1997年、2007年和2017年3个时期的Landsat影像,利用面向对象分类法进行土地利用类型分类,进而对天津市20年以来城市扩展的时空变化特征及其土地利用差异进行重点研究和分析.试验分析表明,近20年天津市整体扩张、居民地对耕地及裸地侵占、城市扩张的进程有明显的地域差异.     

RS和GIS技术在土地荒漠化动态监测中的应用研究与构想——以陕西省神？…

以陕西省神木县为例,探索性地进行了遥感（ＲＳ）技术和地理信息系统（ＧＩＳ）技术在土荒漠化动态监测中的应用研究。论述了利用遥感技术,建立土地荒漠化解译标志,并参照解译标志,采用不同时期的遥感图像进行信息提取并建立近１０年间陕西省神木县荒漠化土地专题数据库的步骤和方法;阐明了利用地理信息系统技术,适时,动态地显示荒漠化土地的分布,面积,快还生成土地荒漠化动态分布图的步骤和方法;同时,论述了应用信息论、     

Spatio-temporal analysis for monitoring urban growth – a case study of Indore City

Urban sprawl is characterized by haphazard patchwork of development, which leads to an improper development in any city. To prevent this kind of sprawl in future, it is necessary to monitor the growth of the city. Hence, an attempt has been made in the present study to monitor the urban growth over a period of time by employing Remote Sensing and Geographic Information System techniques in conjunction with Shannon entropy. Shannon entropy is a measure to determine the compactness or dispersion of built-up land growth in the urban areas. The growth patterns of urban built-up land have been studied initially by dividing the area into four zones. The observations have been made with respect to each zone. Then, the study area has been divided into concentric circles of 1 km buffers and the growth patterns have been studied based on urban built-up density with respect to each circular buffer in all four zones. These observations have been integrated with road network to check the influence of infrastructure on haphazard urban growth. It has been found from the study that Shannon entropy is a good measure to determine the spatial concentration or dispersion of built-up land in the city. The study also proved the potential of RS and GIS techniques in the spatio-temporal analysis of urban growth trends and their consequences in the lands adjoining to urban areas.     

京津冀城市群1990—2015年城区时空扩展监测与分析

城区作为城镇化表征的重要指标,在城镇化时空扩展分析中有着重要的意义。然而,目前城区边界存在相关概念混杂导致对其认识缺乏统一、划定标准和数据来源缺乏一致性、遥感监测所用影像分辨率较低、以建设用地（不透水面）替代城区等问题。针对上述问题,参考住房和城乡建设部的建成区概念和城区地域分布范围,充分挖掘高分辨率遥感影像展现的城市景观和形态等空间可视化特征,从城市实际建设完成情况出发,本文提出了基于高分辨率影像和地理信息资料辅助的城区半自动化提取方法。获取了京津冀城市群153个县级以上城市的1990、2002、2015年的遥感影像、多元地理信息参考资料,开展了该区域的城区边界提取,并从时空扩展过程、城区空间形态及结构变化、城区扩展协调性、城区扩展占用土地类型4个方面对京津冀城市群1/4世纪的城镇化过程进行了统计分析。提出的技术方法和监测分析结果对于城镇化发展监测和城市规划实施评估具有重要的参考价值。     

运用RS和GIS技术进行城市绿地覆盖调查

较详细地介绍了运用遥感和地理信息系统技术进行城市绿地覆盖调查的方法、技术流程以及其优点。由该方法获取的城市绿地覆盖数字信息,可以方便地进行各种分析、评价,辅助绿化部门的规划管理.     

中国华北地区土地利用动态变化特点分析

以遥感与GIS为技术支撑，对华北地区1995－2000年土地利用动态变化进行了调查，并对变化特点进行了分析。结果表明，华北地区城乡、农村居民点及工交建设用地增加显，以农村居民点的变化尤为突出；耕地减少，且主要变为建设用地；林地减少；未利用土地面积减少明显；土地利用类型多样性在降低，说明人类活动进一步加剧，对生态环境造成不良影响。     

深圳市30年土地利用时空变化及驱动力分析

利用1980~2010年时间序列遥感影像,利用土地变化的变化率、变化贡献率和转移矩阵,从时间和空间上分析了土地利用/土地覆盖的变化特征,并结合单因子相关分析和主成分分析等方法,探讨深圳市土地利用变化的驱动因子。结果显示,30年来深圳市的土地利用发生了巨大变化:城乡用地扩张剧烈,增加了55 077.24 hm2,增长率为265.19%;耕地、林地、水域面积迅速减少,耕地减少33 949.17 hm2,减少率为73.93%。研究时段内,人类活动增强以及影响范围扩大是引起深圳市城乡用地急速增长和耕地下降的主因,且土地利用变化受社会经济驱动力的影响逐步增强。     

基于GIS和RS的矿区土地利用变化分析

以1997年的TM和2007年的ASTER遥感影像数据的为主要数据源,利用遥感和地理信息系统技术,对影像进行监督分类获得土地利用变化的数据,并计算出研究区的土地利用类型的动态转移矩阵、LUCC幅度、动态度和状态指数等指数模型,定量分析研究区的土地利用变化情况。结果表明：1997-2007年间,耕地和草地大量减少,其他土...     

Modeling sprawl of unauthorized development using geospatial technology: case study in Kuantan district,Malaysia

Abstract

The paper explores a framework combining remote sensing and GIS-cellular automata (CA) concepts aimed at improving the modeling of unauthorized land use sprawl. Remote sensing data have been used in urban modeling and analysis, the use of high-resolution remote sensing data in assessing unauthorized development is quite unexplored. This work has demonstrated systematic combination utilization of geospatial analyses tools to acquire a new level of information to enable urban modeling and sprawl analysis in assisting urban sustainable management. In this study, Kuantan city, Malaysia was selected in simulation of the unauthorized land use with CA concept for a period of 15 years (2000–2015), with main input time-series land use observation from 1995 to 2005. The 2000 and 2005 land use input was also used as calibrated and test assessment of the simulation. The results show excellent agreement between in-situ changes of the unauthorized land use classes and the corresponding simulated classes within the same periods. In conclusion, CA model can lead to new levels of understanding of how urban areas grow and change as in view of digital earth aspiration.     

Incorporating sprawl and adjacency measures in land‐use forecasting model: A case study of Collin County,TX

Sprawl measures have largely been neglected in land‐use forecasting models. The current approach for land‐use allocation using optimization mostly utilizes objective functions and constraints that are non‐spatial in nature. Application of spatial constraints could take care of the contiguity and compactness of land uses and can be utilized to address urban sprawl. Because a land‐use model is used as an input to transportation modeling, a better spatial allocation strategy for more compact land‐use projections will promote better transportation planning and sustainable development. This study formulates a scenario‐based approach to normative modeling of urban sprawl. In doing so, it seeks to improve the land‐use projections by employing a spatial optimization model with contiguity and compactness consideration. This study incorporates urban sprawl measures based on smart growth principles together with a mixed‐use factor, and adjacency consideration of nearby land uses. The objective function used in the study maximizes net suitability based on imposed constraints. These constraints are based on smart growth principles that enhance walkability in neighborhoods, promote better health for residents, and encourage mixed‐use development. The formulated model has been applied to Collin County, TX, a fast‐developing suburban county located to the north of the Dallas–Fort Worth metroplex. The suitability of land cells indicates the probability of conversion, which is calculated using spatial discrete choice analysis with Moran eigenvector spatial filtering for vacant cells at a resolution of 150 × 150 m employing factors of the built environment, and socioeconomic and demographic characteristics. This study demonstrates how spatial proximity between land uses, which has been ignored to date, can be used to control sprawl, resulting in better mixing of different land uses based on constraints imposed in a spatial optimization problem.     

Monitoring of protected bands of Terkos drinking water reservoir of metropolitan Istanbul near the Black Sea coast using satellite data

In this study, remote sensing (RS) with computer-based geographic information systems (GIS) techniques are used as a tool for monitoring the water basin area and water quality in Istanbul's relatively less polluted and comparatively less destroyed catchment of the metropolis drinking water dam reservoir named Terkos. It is necessary to work with recent data to be able to identify the effects of urbanization on the water quality of the Terkos dam catchment area that supplies drinking water to the metropolis. RS is an important tool to monitor water quality and urban terrain. For this aim, a project has been initiated at the Technical University Remote Sensing Laboratory, under the Istanbul Water and Sewerage Administration (ISKI) sponsorship in Istanbul. The project uses SPOT-PAN, XS and IRS-1C/D PAN and satellite data of 1993 and 2000 for urban analysis and Landsat-TM and LISS-III satellite data of 1992 and 2000 for water quality. For calibration and validation, ground truth samples are collected from the experimental area. The RS data was converted into the UTM coordinate system and image enhancement and classification techniques are used. Raster data is converted to vector data to assess the study area for analyzing in GIS for the purpose of planning and decision-making on protected water basin zones. As a result of monitoring land use and water quality changes, recommendations are made for planning and management of the protected environment of the Terkos catchment protected area. Measuring land use change is a very important issue for controlling the future development of the basin, GIS techniques are performed and results are illustrated in established models on the four protected zones of Terkos water basin.