Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka Metropolitan, Bangladesh

Rapid urban expansion due to large scale land use/cover change, particularly in developing countries becomes a matter of concern since urbanization drives environmental change at multiple scales. Dhaka, the capital of Bangladesh, has been experienced break-neck urban growth in the last few decades that resulted many adverse impacts on the environment. This paper was an attempt to document spatio-temporal pattern of land use/cover changes, and to quantify the landscape structures in Dhaka Metropolitan of Bangladesh. Using multi-temporal remotely sensed data with GIS, dynamics of land use/cover changes was evaluated and a transition matrix was computed to understand the rate and pattern of land use/cover change. Derived land use statistics subsequently integrated with landscape metrics to determine the impact of land use change on landscape fragmentation. Significant changes in land use/cover were noticed in Dhaka over the study period, 1975–2005. Rapid urbanization was manifested by a large reduction of agricultural land since urban built-up area increased from 5,500?ha in 1975 to 20,549?ha in 2005. At the same time, cultivated land decreased from 12,040 to 6,236?ha in the same period. Likewise, wetland and vegetation cover reduced to about 6,027 and 2,812?ha, respectively. Consequently, sharp changes in landscape pattern and composition were observed. The landscape became highly fragmented as a result of rapid increase in the built-up areas. The analysis revealed that mean patch size decreased while the number of patches increased. Landscape diversity declined, urban dominance amplified, and the overall landscape mosaics became more continuous, homogenous and clumped. In order to devise sustainable land use planning and to determine future landscape changes for sound resource management strategies, the present study is expected to have significant implications in rapidly urbanizing cities of the world in delivering baseline information about long term land use change and its impact on landscape structure.     

北京城乡过渡区土地利用变化驱动力分析

在多时相遥感数据和实际调查数据的支持下，采用典型样带和样点相结合的研究方法，对北京西部城乡过渡区的土地利用/覆盖变化驱动力进行了研究。结果表明，研究区的土地利用/覆盖变化受到了不同层次、多种驱动力的综合作用，人类活动从整体上改变着城乡过渡区的景观特征，政策体制转变下的经济高速增长和快速的城市化过程是北京城乡过渡区土地利用/覆盖变化的根本原因。在这个过程中，城市投资和产业的转变与农村农业用地内部的结构调整相互结合，从城市和农村两个方向共同推动着北京城乡过渡区的土地利用/覆盖变化，而地形、交通等因素则从局部尺度上决定着土地利用/覆盖变化的方向。此外，人类个体的行为选择，尤其是就业和消费选择，也在一定程度上对北京城乡过渡区的土地利用/覆盖变化起着调整和修改作用。     

A satellite based assessment of the impact of urban expansion around a lagoon

This paper examines the coastal regional trends in urbanization processes using remotely sensed images around the Kucukcekmece Lagoon as a case study, located in the western part of Istanbul, Turkey. Throughout the examination process, the coastline changes are determined for a long-term period. To achieve this goal, post-classification comparison method is applied to the CORONA and LANDSAT TM satellite images of 1963, 1987 and 2005. In order to identify the land use changes, common landscape structures in the region were distinguished as water, green and open land, urban and industrial areas. Due to the mix up of land-cover types between urban and industrial areas, the classified images are integrated with geographic information system data obtained from visual interpretation of the enhanced images and auxiliary data sets. The results of the change analyses in coastal region showed that important alterations are taking place in the area due to the unplanned urban and industrial expansions that has irreversibly changed the physical features of the Kucukcekmece Lagoon. According to image classification results, the urban land use area increased from 2 % oftotal area in 1963 to 38 % in 1987 and 46 % in 2005, most of which converted from agricultural and greenlands. At the same time, the ecological impact of the loss of specific land covers is highlighted based on the results of the land use changes and the previous scientific applications. Furthermore, some recommendations are given to planners, decision makers and politicians to maintain the sustainable coastal ecosystem management.     

基于遥感与GIS的20世纪90年代中国城镇用地时空特征

文章利用20世纪90年代初期、中期和末期全国1:100000土地利用动态变化数据提取城镇用地动态变化数据,利用单元自动机和人工神经网络模型对全国城镇用地进行了区划.在此基础上,研究了90年代两个阶段中国城镇用地时空格局.研究表明:90年代前5年东部沿海地区受经济高速发展和开放政策的影响,城镇用地扩展迅速,中西部地区城镇用地扩展较慢;90年代后5年国家加大了耕地资源保护力度,在政府宏观调控政策和耕地资源保护条例的影响下,东部沿海地区城镇用地扩展大幅回落,中部地区城镇扩展也有较大幅度回落,西部地区随着经济发展加快,城镇用地扩展回落较小.     

1990—2018年长沙市土地利用变化对生态系统服务价值的影响

评估生态系统服务价值(Ecosystem Service Values,ESV)有利于衡量生态系统服务供给潜力和生态效益的大小,对城市生态规划与土地利用管控起到重要的支撑作用。选择长沙市为研究区域,基于1990、2000、2010和2018年4期土地利用现状遥感监测数据集,利用ArcGIS软件和经本地化校正的当量因子法,分析1990—2018年间的土地利用变化特征,并探讨土地利用变化对ESV的影响。结果表明: ①1990—2018年长沙市土地利用变化轨迹以耕地→林地互相转化以及建设用地对耕地、林地的侵占为主; ②1990—2018年长沙市的ESV共减少53.17×10⁸ 元,降幅3.59%,除水域外各类ESV均呈下降趋势,林地和耕地服务价值减少最明显; ③在各单项服务功能中,水文调节的价值最大,其次是气候调节,两者之和占总价值的54%; ④“退耕还林”“退田还湖”“兴工强市”等政策引起的土地利用变化势必对ESV造成影响,城市快速扩张、土地开发会导致ESV不断下降。综合分析认为,在调整研究区土地利用结构、优化土地配置时应充分重视水域、林地等生态系统服务价值较高的土地利用类型,减缓ESV的下降趋势。     

Land use change scenarios and associated groundwater impacts in a protected peri-urban area

Land use changes in peri-urban areas are usually associated with significant impacts on groundwater resources due to alteration of the recharge regime as well as through the establishment of pollution sources. Quantifying the aforementioned impacts and assessing the vulnerability of the groundwater resources is an important step for the better management and protection of the aquifers. In the present study, a physically based, distributed hydrologic model has been used to identify the impacts from specific land use change scenarios in the protected area of Loutraki catchment. A vulnerability assessment method has been also implemented to provide a decision support tool to the land planning authorities and also hydrologic mitigation measures for the sustainable development of the area have been proposed. The hydrologic impacts of the land use scenarios include a 5% reduction in the annual recharge of the study aquifer for scenario 1 (doubling of the current urban areas) and 7% decrease for scenario 2 (tripling of the current urban areas). Nevertheless, these impacts can be minimised if small-scale artificial recharge infrastructure is developed and the land planning measures suggested through the vulnerability and recharge maps will be followed.     

Using Landsat data to determine land use changes in Datong basin,China

The aim of this study was to determine land use changes in Datong basin using multitemporal Landsat data for the period of 1977–2006. Four dates of Landsat images from 1977, 1990, 2000, and 2006 were selected to classify the study area. Based on the supervised classification method of maximum likelihood algorithm, images were classified into six classes: water, urban, forest, agriculture, wetland, and barren land. A multidate postclassification comparison change detection algorithm was used to determine changes in land use in four intervals. It is found that (1) urban land area increased 213% due to urbanization that resulted from rapid increase of urban population and high-speed economic development, (2) agriculture area increased 34.0% due to land reclamation that resulted from rapid increase of rural population and improvement of irrigation capacity, (3) forest area decreased 20.9% due to deforestation for urban area and agricultural use, (4) barren land area decreased 78.2% due to cultivation for agricultural use, and (5) water and wetland decreased 39.1 and 67.1%, respectively, due to exploitation of surface water and decrease of recharge from groundwater to surface water that resulted from over exploitation of groundwater.     

What is responsible for increasing flood risks? The case of Gangwon Province,Korea

We examined the anthropogenic and natural causes of flood risks in six representative cities in the Gangwon Province of Korea. Flood damage per capita is mostly explained by cumulative upper 5% summer precipitation amount and the year. The increasing flood damage is also associated with deforestation in upstream areas and intensive land use in lowlands. Human encroachment on floodplains made these urban communities more vulnerable to floods. Without changes in the current flood management systems of these cities, their vulnerability to flood risks will remain and may even increase under changing climate conditions.     

Land use change modelling: current practice and research priorities

Land use change models are tools to support the analysis of the causes and consequences of land use dynamics. Scenario analysis with land use models can support land use planning and policy. Numerous land use models are available, developed from different disciplinary backgrounds. This paper reviews current models to identify priority issues for future land use change modelling research. This discussion is based on six concepts important to land use modelling: (1) Level of analysis; (2) Cross-scale dynamics; (3) Driving forces; (4) Spatial interaction and neighbourhood effects; (5) Temporal dynamics; and (6) Level of integration. For each of these concepts an overview is given of the variety of methods used to implement these concepts in operational models. It is concluded that a lot of progress has been made in building land use change models. However, in order to incorporate more aspects important to land use modelling it is needed to develop a new generation of land use models that better address the multi-scale characteristics of the land use system, implement new techniques to quantify neighbourhood effects, explicitly deal with temporal dynamics and achieve a higher level of integration between disciplinary approaches and between models studying urban and rural land use changes. If these requirements are fulfilled models will better support the analysis of land use dynamics and land use policy formulation.     

基于“源－汇”理念的黔中“两湖一库”地区土地利用变化及驱动力分析

“两湖一库”是典型的喀斯特高原湖泊,湖库周边生态环境极为脆弱,其土地利用变化对所在区域生态安全/供水安全及社会经济发展带来重要影响。基于“源－汇”理念和黔中“两湖一库”地区1998－2018年4期遥感解译数据,采用土地利用动态度模型分析近20年来“两湖一库”地区土地利用动态演变规律,并运用定量与定性分析相结合的方法探究其驱动力。结果表明:（1）1998－2018年建设用地、林地、未利用土地（主要为暂时性未利用土地）面积不断增加,水域面积波动减少,耕地、草地面积持续减少,其中建设用地和未利用土地在各时段均为变化最活跃的地类。（2）年均综合土地利用动态度由1998－2008年的1.33%提高至2008－2013年的2.4%和2013－2018年的2.3%。近10年各地类间的相互转换较10年前更为活跃。（3）主要的土地利用“源－汇”转换关系表现为耕地转为林地和建设用地、草地转为林地和耕地。（4）各地类加速向建设用地转换,建成区面积迅速扩张,“两湖一库”供水压力进一步增大。（5）人口压力、经济发展等因素是“两湖一库”地区建设用地扩张的主要驱动因素,政策因素对林地和水域面积变化有重要影响。研究结果可以为“两湖一库”地区土地利用、规划及社会－经济－生态协调发展提供参考。      

基于SBAS-InSAR的西安市鱼化寨地区地面沉降与地裂缝时空演变特征研究

自20世纪50年代末以来,西安市遭受了严重的地面沉降和地裂缝灾害,严重制约了西安市城市建设发展规划.本文以西安市典型地面沉降区之一的鱼化寨为研究区,基于短基线集合成孔径雷达干涉测量技术,采用覆盖研究区的ERS(1992～1993年)、Envisat(2003～2010年)、Sentinel-1A(2015～2020年)...     

资源型城市景观生态风险的时空分异:以乌海市为例

为探究大型露天煤矿开采对西北干旱荒漠区景观生态风险的影响,以及资源型城市转型背景下的时空动态,以资源衰退型的内蒙古自治区乌海市及周边县域为研究区,结合现有景观生态风险评价中的干扰度、脆弱度指标,增加受威胁指数来综合构建资源型城市景观生态风险评价框架。基于乌海市2005—2015年景观类型数据,从时间和空间上分析景观生态风险及其动态。结果显示:(1)2010—2015年景观类型之间转移相较于2005—2010年更剧烈,年变化强度分别为7.43%和3.44%,工矿用地与城市建设用地最活跃,但年增加强度减小。(2)林地、水域和湿地损失度先略增加后大幅度减小,其他土地和草地损失度呈增加趋势,工矿用地先减小后略增加;城市建设用地和工矿用地受威胁指数最大,其余类型的景观受威胁指数均有上升趋势,但其他土地、水域和湿地增加趋势逐渐减慢。(3)2005—2015年景观生态风险指数升高,空间分布总体呈西、中部高而南北低的格局,而不同等级风险区表现为低风险区由边缘向中心转移,而高风险区依托原有高风险区扩展。研究期风险区变化显著的是西部沙地高风险区,矿区东部其他土地因周围分布灌丛和草地,风险始终低于西部其他土地。根据不同风险等级中工矿用地的面积占比情况,将工矿用地占比控制在5%以内可达到控制总体景观生态风险的目的。研究为资源型城市通过合理的景观配置进行生态风险管控提供了依据。     

应用集成的遥感识别技术进行土地利用变化分析

以厦门市为研究区域,以1988-1998年为时间跨度,利用Landsat5TM遥感数据开展土地覆盖变化识别中多种遥感数据处理方法的集成应用研究。以后分类比较法的结果为基础,运用改进的差值法定义的"变化"目标进行修正,将两种方法有机集成综合地确定土地覆盖变化。根据变化前与变化后覆盖不同但土地利用方式相同或类似的原则进行合并处理,最后得到厦门市10年间土地利用结构变化各种成因类型及其数量。结果表明,10年间厦门市因城市化引起的土地覆盖变化为590．83km²,变化强度为31.14％,引起厦门市土地利用结构发生变化主要有 8种成因机制类型,面积达351.99km²,变化强度为18.55％。     

Geospatial modeling to identify the effects of anthropogenic processes on landscape pattern change and biodiversity

This research used geospatial data to quantify biodiversity changes and landscape pattern change to track anthropogenic impacts of such changes at the Mouteh Wildlife Refuge (MWR), Isfahan, Iran. Satellite image duration of four decades, LandSat_1-5, and IRS-P6 data were used to develop land cover classification maps for 1971, 1987, 1998, and 2011. The number and size of land cover patches, the degree of naturalness, and the diversity indices were calculated and compared for a 40-year period. The results showed an increasing concern with regard to unplanned human activities. Some improvements of the natural landscape also occurred in the core protected zone of the study area. The number and size of land cover patches, the degree of naturalness, and the diversity indices were calculated. Overall changes in natural land use between 1971 and 1998 at MWR showed that the number of patches for natural land use has increased, but it also showed a decrease in 2011. Similar changes were observed for seminatural land use. Within the artificial classes, the number and area of patches were higher and the largest patch occurred in 2011. The maximum variation of diversity is related to the year 2011. The results showed an increasing concern with regard to unplanned human activities. Some improvements of the natural landscape also occurred in the core protected zone of the study area. Remote sensing and geographic information system offers an important means of detecting and analyzing temporal changes occurring in our landscape.     

Land-use change and its environmental impact in the Heihe River Basin, arid northwestern China

Rapid land-use change has taken place in many arid and semi-arid regions of China over the last decade as the result of demand for food for its growing population. The Heihe River Basin, a typical inland river basin of temperate arid zone in northwestern China, was investigated to assess land-use change dynamics by the combined use of satellite remote sensing and geographical information systems (GIS), and to explore the interaction between these changes and the environment. Images were classified into six land-use types: cropland, forestland, grassland, water, urban or built-up land, and barren land. The objectives were to assess and analyze landscape change of land use/cover in Heihe River Basin over 15 years from 1987 to 2002. The results show that (1) grassland and barren land increase greatly by 22.3, and 268.2 km², respectively, but water area decreased rapidly by 247.2 km² in the upper reaches of Heihe River Basin; (2) cropland and urban or built-up land increased greatly by 174.9, and 64.6 km², respectively, but grassland decreased rapidly by 210.3 km² in the middle reaches of Heihe River Basin; and (3) barren land increased largely by 397.4 km², but grassland degraded seriously and water area decreased obviously by 313.3, and 21.7 km², respectively in the lower reaches of Heihe River Basin. These results show that significant changes in land-use occur within the whole basin over the study period and cause severe environmental degradation, such as water environmental changes (including surface water runoff change, decline of groundwater table and degeneration of surface water and groundwater quality), land desertification and salinization, and vegetation degeneracy.     

Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen

An effective and efficient planning of an urban growth and land use changes and its impact on the environment requires information about growth trends and patterns amongst other important information. Over the years, many urban growth models have been developed and used in the developed countries for forecasting growth patterns. In the developing countries however, there exist a very few studies showing the application of these models and their performances. In this study two models such as cellular automata (CA) and the SLEUTH models are applied in a geographical information system (GIS) to simulate and predict the urban growth and land use change for the City of Sana’a (Yemen) for the period 2004–2020. GIS based maps were generated for the urban growth pattern of the city which was further analyzed using geo-statistical techniques. During the models calibration process, a total of 35 years of time series dataset such as historical topographical maps, aerial photographs and satellite imageries was used to identify the parameters that influenced the urban growth. The validation result showed an overall accuracy of 99.6 %; with the producer’s accuracy of 83.3 % and the user’s accuracy 83.6 %. The SLEUTH model used the best fit growth rule parameters during the calibration to forecasting future urban growth pattern and generated various probability maps in which the individual grid cells are urbanized assuming unique “urban growth signatures”. The models generated future urban growth pattern and land use changes from the period 2004–2020. Both models proved effective in forecasting growth pattern that will be useful in planning and decision making. In comparison, the CA model growth pattern showed high density development, in which growth edges were filled and clusters were merged together to form a compact built-up area wherein less agricultural lands were included. On the contrary, the SLEUTH model growth pattern showed more urban sprawl and low-density development that included substantial areas of agricultural lands.     

快速城市化地区多尺度水文观测试验与暴雨洪水响应机理分析

城市下垫面改变引起水文循环过程发生变异,导致目前已掌握的天然情况下的产汇流规律和机制难以解释城市化等新形势下的水文现象与过程,而面临需重新再认识的挑战。本文以长三角地区为典型,建立了不同城市化水平及空间规模的水文试验流域,探讨了快速城市化地区暴雨洪水响应规律和机制。结果表明：(1)不同量级降水事件下城镇用地土壤水响应程度(表层土壤水涨幅基本超过4%)总体高于其他土地利用类型,城市化地区下垫面的改变通过影响土壤水动态响应模式直接影响了地表产流过程,植被覆盖率较低的城镇用地和荒地土壤含水率呈现出陡涨陡落现象,而植被作用下的土地利用类型则表现出缓慢上升和缓慢消退的土壤水响应过程。(2)流域洪峰滞时和洪峰流量整体表现为随流域面积增加而呈幂律函数关系形式的增加。(3)总降水量与主要洪水特征(如洪峰流量、单位面积洪峰流量和径流深)基本呈显著相关(相关系数分别达0.49、0.41和0.78以上)。城市下垫面通过改变土壤水动态响应等产汇流特征而直接影响了洪水过程,未来长三角地区暴雨洪水在城市化和气候因素双重作用下呈现持续加剧的趋势。     

Land use/cover classification using enhanced IRS-1A LISS 1 data — A case study of Calcutta Metropolitan District,India — 1989

The land use/cover in any urban area is dynamic in nature. Maps of existing land use/covers have to be updated periodically to monitor changes. To speed up mapping and decision making, remotely sensed satellite data have been advocated. This study used the IRS-1A LISS 1 satellite data for delineation of selected urban features in Calcutta Metropolitan District. Due to lack of ground information, some known features have been used as reference categories to classify the study area.The satellite data was transformed through a principal components analysis and two new bands of data were created and combined with the original four band data. Both supervised and unsupervised methods were used for spectral signature collection. Thirty-six classes derived from Isodata clustering, after comparing with the selected known features, these were grouped to form five generalized land use/cover categories. The spatial distribution of these land use/cover categories have been explained in this study.     

1985-2014年漓江流域景观格局动态变化研究

文章以漓江流域为研究对象,应用1985年、2000年和2014年3期遥感影像,提取土地利用数据,采用土地利用动态度、土地利用转移矩阵等方法,分析1985-2014年漓江流域土地利用的演变趋势;结合Fragstats4.2景观分析工具,识别了该流域景观格局的动态变化。结果表明:1985-2014年,漓江流域土地利用整体变化幅度不大,主要表现为林地、耕地和草地面积减小,湿地、居民及城乡建设用地和未利用土地面积增加,且变化集中发生在2000-2014年。同时景观水平上破碎化和复杂化程度加剧,聚集程度和斑块连续程度有待提高;类型水平上林地景观破碎化层度增加,耕地和草地斑块面积增加,湿地和居民及城乡建设用地的聚集度较高,分布集中。