北京地区土地利用/覆盖变化研究

本文利用1975、1984、1991和1997的LandsatTM/MSS数据,对北京地区改革开放以来22年的土地利用/覆盖变化进行了研究。结果表明从1975～1997年,北京地区发生了快速城市化背景下的大规模土地利用/覆盖变化,表现出城镇用地通过大量占用平原区耕地扩展,非城镇用地间结构变化明显的基本特征。同时土地利用/覆盖变化区域差异明显,近郊区和远郊区的土地利用/覆盖变化强度发生了逆转,远郊区土地利用/覆盖变化强度在90年代已经超过近郊区,而且该区高密度城镇用地的重心也向西北方向发生了一定程度的移动,显示出同期北京城镇用地向西北方向扩展的趋势     

基于多期数据集的中亚五国土地利用/覆盖变化分析

针对目前中亚地区土地利用变化和分布格局方面的信息相对匮乏,现有资料较为陈旧且零散,无法满足中亚生态与环境变化研究需求的现状,利用全球的UMD, DISCover,GLC2000,GlobCover2005和GlobCover2009的5期土地覆被遥感数据集,提取中亚地区长时间序列土地覆被信息。并针对上述4个土地覆被分类系统无法进行直接对比和变化分析的问题,分别将其综合为4类土地覆被类型：耕地、自然植被、水体和其他,以分析近30 a中亚土地利用/土地覆被变化趋势。中亚土地利用类型多样,草地、裸地、农田、灌丛占绝对优势。自前苏联解体以后,20世纪90年代初至2000年期间,耕地面积大幅度减少,至2010年尽管有所恢复,但仍无法达到20世纪90年代初水平。而自然植被表现出了相反的趋势,这说明在此时间段内,由于社会政治制度的变化和市场经济的建立,耕地发生了较大规模的弃耕,弃耕地通常转换为草地、灌丛等自然植被。近10 a由于社会经济条件的变化,前苏联解体后所弃耕的土地又被收复和重新开发为耕地。90年代初至2000年期间,水体呈现先减少后增加的趋势。利用全球基于多期不同信息源获得的中亚土地覆被数据,尽管分类体系不统一,但均可较好地表征当时地表覆被状况。这在一定程度上弥补了中亚地区土地覆被数据不足的现状。通过对耕地、自然植被、水体及其他土地覆被类型进行大类合并,可基本体现中亚土地覆被的宏观特征和变化趋势。     

土地变化模型方法综述

土地系统变化长期以来不仅是地理学研究热点,也是资源环境经济学、生态学、城市规划等多学科领域关注的主题。构建模型模拟土地变化能够促进理解人地相互作用机制,模拟结果可为土地资源优化与资源环境政策制定提供依据。不同研究者基于不同学科理论、应用多种方法构建土地变化模型,模型从早期关注自然覆被类型变化发展到对人类决策行为的刻画,从统计方法发展到更突出空间分布的元胞自动机方法,以及更聚焦土地变化过程的经济学方法和多主体方法。未来土地变化模型发展方向为：在多尺度进行多方法耦合,对土地变化过程进行更为明晰地刻画,将土地变化模型与其他地球系统模型耦合等方面,进一步能够促进解释复杂人地系统,并推进模型在决策支持层面的应用。     

基于遥感和GIS的松嫩沙地土地利用/土地覆被时空格局研究

利用1986年和2000年2期TM影像资料,建立相应的空间图形库系统,定量分析了松嫩沙地典型区近15a来土地利用数量变化,从土地利用斑块特征、斑块空间邻接关系变化和主导变化类型角度对土地利用/覆被格局进行了清晰的空间描述。结果表明,研究时段内该区土地利用量变和质变活跃。耕地面状成片、条带状延伸和斑块状空间扩展,从整体上呈现集中化特征。较大面积的草地和林地被分割、破碎化,小块盐碱化草地空间聚集与扩张。耕地与草地、草地与盐碱地空间相邻度变大,草地开垦强度增大、土地盐碱化日益严重。空间变化上表现为耕地、林地、草地和未利用地之间相互转化,以草地、林地-旱地,草地-未利用地,未利用地-旱地、水田及旱地-水田最为显著。     

Assessing the applicability of OpenStreetMap data to assist the validation of land use/land cover maps

The validation of land use/land cover (LULC) maps is usually performed using a reference database consisting of a sample of points or regions to which the ‘real’ class is assigned. This assignment is usually performed by specialists using photointerpretation (PI) of high-resolution imagery and/or field visits, which are time consuming and expensive processes. The aim of this article is to assess if the data available in the collaborative project OpenStreetMap (OSM) may be used as a source of data to assist the creation of these reference databases, reducing the time spent and costs associated with their generation. For this aim, two case studies were used, where the validation of the Global Monitoring for Environment and Security Urban Atlas (UA) was performed. The used methodology requires the harmonization of the data available in OSM with the UA nomenclature, and the subsequent creation of a LULC map from the OSM data. This map was then compared to UA to assess the similarity of the regions mapped in both. To test the usefulness of OSM data to assess the accuracy of UA, a sample of points was created and two reference databases generated, one assigning the data extracted automatically from OSM to the points where these data were available, and PI for the remaining points, and the other using only PI. The accuracy assessment of UA for the two case studies was then made building confusion matrixes and computing accuracy indicators. The results showed that for the two study areas, only low percentages of points had to be photo interpreted in the first reference database (respectively, 12% and 2% for the two study areas), decreasing the work load considerably. The results obtained with both reference databases are comparable for level 1 classes. For level 2 classes, worse results were obtained for some classes, showing that the OSM data used are not enough to create reliable reference data.     

北京近百年城市用地变化与相关社会人文因素简论

北京是中国的历史名城之一。历史上,其地域范围内的土地利用与土地覆被随人类活动强度而变化,各个时期的城市用地扩张是其中最明显的变化之一。本文将北京的历史发展过程划分为两个阶段,前一阶段从辽代建都到1911年封建王朝的瓦解;第二阶段从1911年到现在。本文围绕后一阶段进行探讨。指出:在过去的大约100年中,通过城市化表现的北京土地利用与土地覆被变化巨大,在过去的50年间尤为明显。北京的城市用地扩张及由此推动的土地利用/土地覆被变化之所以更为显著,与政治及社会意识形态改变、政策和制度变化、以及人口增长、科技进步和经济实力增强等社会、经济、人文因素密切相关。它们与土地利用/土地覆被变化相关关系的量化研究值得深入开展     

中国可持续发展问题与土地利用/覆被变化研究

土地利用 /覆被变化 (LUCC)研究 ,已成为全球环境变化和可持续发展领域前沿的核心问题。中国是世界上人多地少、生态与环境问题较为突出的发展中国家 ,目前中国可持续发展所面临的许多问题 ,都与土地利用及其变化有着内在的、必然的联系。因此 ,面向可持续发展战略的实施 ,开展土地利用 /覆被变化的系统研究 ,具有重要的科学价值与战略意义。本文重点对土地利用 /覆被变化与可持续发展重点问题的关系 ,以及面向可持续发展问题的LUCC研究目标、主要内容和技术方法等进行了讨论     

Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA

Detecting land-use change has become of concern to environmentalists, conservationists and land use planners due to its impact on natural ecosystems. We studied land use/land cover (LULC) changes in part of the northwestern desert of Egypt and used the Markov-CA integrated approach to predict future changes. We mapped the LULC distribution of the desert landscape for 1988, 1999, and 2011. Landsat Thematic Mapper 5 data and ancillary data were classified using the random forests approach. The technique produced LULC maps with an overall accuracy of more than 90%. Analysis of LULC classes from the three dates revealed that the study area was subjected to three different stages of modification, each dominated by different land uses. The use of a spatially explicit land use change modeling approach, such as Markov-CA approach, provides ways for projecting different future scenarios. Markov-CA was used to predict land use change in 2011 and project changes in 2023 by extrapolating current trends. The technique was successful in predicting LULC distribution in 2011 and the results were comparable to the actual LULC for 2011. The projected LULC for 2023 revealed more urbanization of the landscape with potential expansion in the croplands westward and northward, an increase in quarries, and growth in residential centers. The outcomes can help management activities directed toward protection of wildlife in the area. The study can also be used as a guide to other studies aiming at projecting changes in arid areas experiencing similar land use changes.     

Profoundly entwined ecosystem services,land-use change and human well-being into sustainability management in Yushu,Qinghai-Tibet Plateau

Journal of Geographical Sciences - The nexus exploration among land use/land cover change, ecosystem services and human well-being has been increasingly crucial in the context of Future Earth....     

基于遥感技术的银川市土地利用/覆被研究

为消除地形复杂地区不同地物的同谱异物现象,在遥感(RS)和地理信息系统(GIS)技术的支持下,采用分区分类方法对宁夏银川市1991和1999年的Landsat TM/ETM 影像进行解译,得到了银川市两期土地利用/覆被变化数据。在此基础上,通过转移矩阵和土地利用/覆被变化幅度、动态度及状态指数模型,对银川市土地利用/覆被变化的状况和变化过程进行了研究。结果表明,在研究期内,银川市各土地利用/覆被变化类型都有不同程度的变化。林地、耕地和城市用地转入大于转出,朝着规模增加的方向发展,而草地和水体转出大于转入,朝着规模缩小的方向发展,未利用地虽然转入大于转出,但变化缓慢;土地利用/覆被年变化率最大的是草地,其次为耕地,未利用地的最小。     

Unplanned urban growth: land use/land cover change in the Guwahati Metropolitan Area,India

Unplanned urban growth, particularly in developing countries has led to changes in land use/land cover (LULC). Numerous Indian cities face problems of unplanned LULC change due to nominal or non-existent planning efforts compounded by rapid urban population growth. The Guwahati Metropolitan Area (GMA) is one such urban centre. The present study assesses the trajectories of LULC change using Landsat imageries acquired in 1976, 1989, 2002 and 2015. Natural and semi natural vegetated area and artificial and natural water bodies decreased while built-up areas, cultivated and managed areas, and natural and semi natural non-vegetated areas increased. The built-up area increased from 23.9 in 1976 to 115.1 km² in 2015 becoming the dominant land cover class accounting for 41.8% of the total geographical area. During this period, natural and semi natural vegetated land were reduced by 88.9 km² at an annual rate of 2.2 km². Over the years there was an increasing trend of built-up land and cultivated and managed areas in the peripheral areas of the city while natural and semi natural vegetated land diminished. Consequently, as in many other developing countries, there is an urgent need for the governmental authorities and other stakeholders to implement effective urban planning policies.     

黄土高原植被覆盖度变化的地形分异及土地利用/覆被变化的影响

基于16 d合成MODIS NDVI数据提取的时间序列植被覆盖度数据,采用一元线性回归趋势分析,对黄土高原2000-2008年植被覆盖度的时空变化及其地形分异、土地利用/覆被变化的影响进行了定量分析。结果表明：（1）研究时段黄土高原植被覆盖度整体呈快速上升趋势,局部下降;（2）黄土高原植被覆盖度变化存在明显的地形分异,陡坡等植被恢复、重建和保育的主要区域植被覆盖度增速显著;（3）土地利用/覆被变化对植被覆盖度的增加影响突出,土地利用/覆被类型变更区植被覆盖度增速显著高于未变化区域,退耕还林还草区增速尤其突出;（4）土地利用/覆被类型未变化区域植被覆盖度总体上也呈增加趋势,但因植被覆盖度水平相对较高,增速明显低于土地利用/覆被类型变化区。上述结果表明,黄土高原植被保育、植被恢复和重建在植被覆盖度提升方面取得了明显成效。     

土地利用/覆被变化研究的实质分析 与进展评述

作为当前研究的前沿领域,LUCC研究所涉及的研究内容不仅丰富而且繁杂。本文从LUCC研究计划的根本目标出发,指出LUCC所研究的诸多科学问题之间存在着紧密的联系,其实质是因果关系,而且LUCC研究可以简单明了地归纳为三个研究构成环节（LUCC原因、LUCC状况和LUCC结果）和四个核心研究内容（LUCC驱动力与驱动机制、LUCC状况、LUCC效应研究与作用机制、LUCC模型模拟与土地可持续利用）,文章针对此四个方面的研究进展进行了综述。此外,作者对LUCC的研究趋势进行了展望,指出：LUCC研究的主要趋势是走向综合,LUCC的环境效应研究与LUCC微观机理与过程的研究是当前LUCC研究的两个热点,而研究尺度的综合和模型构建是LUCC研究的两大难点问题。     

A method to dynamically subdivide parcels in land use change models

Spatial simulation models have become a popular tool in studying land use/land cover (LULC) change. An important, yet largely overlooked process in such models is the land subdivision, which is known to govern LULC change and landscape restructuring to a large extent. To fill this gap, we propose an efficient and straightforward method to simulate dynamic land subdivision in LULC change models. Key features in the proposed method are implementing a hierarchical landscape where adjacent cells of the same LULC type form patches, patches form properties, and properties form the landscape and incorporating real subdivision layouts. Furthermore, we use a queue-based modified flood-fill algorithm to dynamically reset LULC patches following a subdivision. The proposed subdivision method is demonstrated in action using a prototype agent-based LULC model developed for an amenity landscape in Australia. Results show that it is computationally feasible to run the subdivision method even as spatial resolution is increased, thus providing a proven means for spatial simulation models to dynamically split parcel land.     

Sociopolitical influences on cropland area change in Iraq, 2001–2012

Iraq has experienced significant agricultural land use changes throughout its history, including recent changes initiated by the 2003 US-led military invasion, the end of United Nations' economic sanctions and the onset of overt domestic conflict. Conflict and sociopolitical forces are important drivers of land use/land cover change and often have disproportionate impacts on agricultural systems. However, there has been little research to investigate recent changes in agricultural land use/land cover in Iraq over the recent tumultuous period that has included war and the transition of its political system from a dictatorship to an emerging but beleaguered democracy. Our objectives were to (1) determine if cropland area in Iraq changed significantly between 2001 and 2012, (2) identify regional patterns of cropland area change, and (3) identify sociopolitical forces driving those changes. We used MODIS Land Cover Product yearly data to quantify the amount of land cover dedicated to croplands. We regressed cropland area (ha) on time (2001, 2002, 2003,…) and years with drought influence (yes, no). The results revealed significant changes in cropland area for Iraq as a whole, with cropland area decreasing over 30,000 ha per year. Regionally, there were significant decreases in the Kurdish Autonomous Region and central Iraq, and initial increases in the southern marshlands followed by decreases related to drought.     

土地利用/土地覆盖变化的研究方法

文章从LUCC计划研究的主要内容入手,探讨了其相应的研究方法,提出了我国LUCC研究的新思路：(1)从研究的空间尺度来看,应遵循“先局部、再整体;既分工、又合作”的研究思路;(2)从研究的时间尺度来看,应遵循“聚焦近期、兼顾历史、瞄准未来”的研究思路,用考古等研究方法重现5000多年来各个时期的土地利用与土地覆盖状况,建立与竺可桢先生建立的5000年以来的气候变化序列相匹配的LUCC变化序列;(3)从研究的技术手段来看,应注意多源信息的复合使用,重视新技术(尤其是3S技术的集成使用)的运用;(4)开展跨学科研究;(5)结合国家建设与发展需要开展研究;(6)加强理论集成研究。     

Modeling spatially non-stationary land use/cover change in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model

Simulating land use/cover change (LUCC) and determining its transition rules have been a focus of research for several decades. Previous studies used ordinary logistic regression (OLR) to determine transition rules in cellular automata (CA) modeling of LUCC, which often neglected the spatially non-stationary relationships between driving factors and land use/cover categories. We use an integrated geographically weighted logistic regression (GWLR) CA-Markov method to simulate LUCC from 2001–2011 over 29 towns in the Connecticut River Basin. Results are compared with those obtained from the OLR-CA-Markov method, and the sensitivity of LUCC simulated by the GWLR-CA-Markov method to the spatial non-stationarity-based suitability map is investigated. Analysis of residuals indicates better goodness of fit in model calibration for geographically weighted regression (GWR) than OLR. Coefficients of driving factors indicate that GWLR outperforms OLR in depicting the local suitability of land use/cover categories. Kappa statistics of the simulated maps indicate high agreement with observed land use/cover for both OLR-CA-Markov and GWLR-CA-Markov methods. Similarity in simulation accuracy between the methods suggests that the sensitivity of simulated LUCC to suitability inputs is low with respect to spatial non-stationarity. Therefore, this study provides critical insight on the role of spatial non-stationarity throughout the process of LUCC simulation.     

The Spatial Structure of Land Use from 1970–2000 in the Phoenix,Arizona, Metropolitan Area

This article explores the dimensions of rapid urbanization in the Phoenix Standard Metropolitan Statistical Area (SMSA) over the past thirty years with respect to land use change. We devote primary attention to developing an understanding of what land transformations took place, the extent to which they occurred, and where they occurred. Our findings indicate that 32 percent of the Phoenix SMSA changed between 1970 and 2000. More than half of the overall change was from agriculture to some form of urban land use, and although a large percentage of the region remains open desert the parcels of desert are increasingly fragmented. This has significant implications for urban ecology and biodiversity. The growth indicates that rather than a pattern that reflects the agglomeration effects of a polycentric metropolis, the central business district of the City of Phoenix dominates the region. This has implications with respect to employment patterns, traffic congestion, and urban air quality and climate.     

Land cover changes during agrarian restructuring in Northeast China

During the last quarter of the 20th century the agrarian sector in China went through a series of reforms. Changes in government policy on land use led to extensive changes in land cover, culminating in the 1990s. These changes were detected from multi-temporal Landsat TM images of 1990, 1995 and 2000 for Northeast China. Overlay of the mapped land cover in ArcInfo showed that farmland and grassland decreased while water, built-up areas, and woodland increased. More than three-quarters of the detected changes occurred during 1990–1995. Farmland changed mainly to woodland, water, and built-up areas while woodland and grassland were converted chiefly to farmland. Spatially, the change from woodland to farmland adjoined the margin of natural forests while change in the opposite direction was restricted to the agropastoral west. Paradoxically, reclamation of grassland to farmland also took place in the agropastoral west. These conflicting changes were caused primarily by lack of stability and consistency in the government's land use policies.