共查询到20条相似文献，搜索用时 140 毫秒
1.
厦门市土地利用年际变化遥感分析 总被引：8，自引：2，他引：6
采用多步骤遥感图像分类以及后分类变化检测方法所得到的厦门市1989、1995和2000年的图像分类图及土地利用变化转换矩阵,查明了厦门市1989～2000年的土地利用变化：城乡建设用地、耕地以及林地／园地等主要用地类型的面积及变化;大量耕地被城市扩展侵占,数量不断减少,质量不断下降。分析认为,工业化和城市化的发展、人口的增长以及自然地理条件等因素是厦门市土地利用发生变化的主要驱动力。研究表明,利用3S技术可以快速有效地对城市土地利用年际变化进行动态监测,揭示城市土地利用动态变化的特点及其内在规律,为城市规划和政府决策部门提供参考依据。 相似文献
2.
成武县位于鲁西南黄河冲积平原区,水系发达,地表水资源丰富。为了分析地表水系对成武县土地利用时空变化和空间格局的影响,该文基于不同时期的遥感影像,结合实地调查和专家意见,提取区域土地利用现状图;运用DEM地表水文分析提取河流汇流累积量、水流长度、河流网络等,根据流量选取了河网。以河流为中心向两侧作缓冲区,与土地利用现状图进行空间分析,得到不同距离缓冲区内的土地利用结构。与全区域土地利用结构对比,分析不同时期在相同的缓冲区域内土地利用特征和变化,总结土地结构变化规律,结合100m,200m,300m,400m,500m,750m,1000m不同的缓冲区;通过对比各种土地利用类型在不同距离缓冲区的时空变化,从而分析水系因子对不同土地类型时空变化的影响。结果表明,不同距离缓冲区内土地利用结构不同,随着缓冲区范围的增加,耕地、建设用地、林地、园地呈现不同的变化趋势与特点,水系因子对成武县不同土地利用方式影响程度不同,水系因素对成武县土地利用空间分异有明显影响。 相似文献
3.
4.
以山西省西山煤田为研究区域,以MODIS和Landsat遥感影像为数据源,利用决策树分类方法,分别得到了西山煤田2001、2008和2016年的土地利用分类结果。结果表明,利用决策树分类的总体精度大于90%,Kappa系数大于0.85,决策树分类方法可以可靠地用于土地利用分类。研究结果为土地利用/土地覆盖变化分析提供了基础数据。 相似文献
5.
土地利用变化受到地形地貌、自然环境、城市规划和经济发展等的影响,预测其未来情景对政策调整具有重要的参考意义。元胞自动机模型是模拟和预测不同规划政策下土地利用变化的常用方法。本文基于GlobeLand30数据集,利用浙中城市群2000-2010年土地利用变化校准FLUS模型,并模拟2010年土地利用格局,其总体精度、Kappa系数和图形优化(FOM)分别为89.74%、82.69%和29.86%。采用马尔可夫链预测2030年各类型土地总量,利用FLUS预测一般条件下(常规情景)和城市轨道交通规划站点影响下(轨交情景)浙中城市群未来土地格局。结果表明,在5 km范围内城市轨道交通站点对建设用地增长影响较大,在该区域轨交情景比常规情景面积增加45.25 km^2、且主要发生在城市边缘区。建设用地扩张主要通过侵占优质农田实现,轨交情景5 km范围内农田转化为建设用地比常规情景增加33.34 km^2,建设用地扩张强度高于常规情景,其中最低扩张强度以上占比高于常规情景3.70%。景观指数表明,2种情景中林地、草地和水域格局具有较高相似性。本研究表明,综合使用FLUS、遥感、GIS等技术方法,能够准确模拟和预测不同规划条件下未来土地利用格局,并为规划和政策调整提供高可信空间数据。 相似文献
6.
基于2005、2010、2014年三期TM遥感影像数据,进行土地利用信息提取,在此基础上开展土地利用格局变化、土地利用动态度和土地利用相对变化率分析研究。研究结果表明:在近十年中,益阳市土地利用变化的区域差异性显著,土地利用状况变化较大,其中建设用地面积增加最为显著,其次是水域,其他土地利用类型面积均减少;在新增面积上,耕地、林地、水域所占比重大,而在萎缩面积上,林地、耕地面积减少最为显著。益阳市土地利用程度处于中等偏上水平,益阳市辖各区县表现出各不一样的土地利用程度。其中经济发展、人口增长以及相关政策是引起其土地利用变化的主导因素。本文主要通过研究益阳市近十年的土地利用变化情况,分析其土地利用变动的原因,为益阳市土地利用管理决策提供参考。 相似文献
7.
利用卫星遥感监测技术，监控土地利用变化现状、分布、特征及发展趋势，在大范围内细致地开展土地执法监察，及时发现和预防土地违法的发生，控制可疑建设和查处违法用地，是进一步加强国土资源执法监察动态管理，切实贯彻落实最严格的耕地保护制度和节约集约利用制度的重要手段和有效途径。 相似文献
8.
土地利用变化监测方法有很多种,本文提出了一种基于IDRISI平台进行土地利用变化监测的方法。以北京市昌平区为研究区域,对2001年和2005年昌平区土地利用数据进行统一土地利用类型和格式转换,输入IDRISI中的LCM模块得到2009年的预测土地利用图,并与基于TM遥感卫星影像解译的2009年图进行精度对比,在此基础上预测研究区2020年建设用地状况。结果表明:基于IDRISI中的LCM模块进行土地利用变化预测具有较高的精度。预测结果显示昌平区2020年建设用地总面积增长了13.2%,过程中存在建设面积大量侵占耕地、植被的现象。文章建议研究区在今后的发展中应做到限制建设用地面积的快速增长,提高其土地利用集约度,严守耕地红线,提升土地产能。 相似文献
9.
基于遥感与地理信息系统技术,对Landsat TM影像进行解译,获得了盐城市2000年和2009年的土地利用分类结果。同时,采用美国国防气象卫星数据和盐城市统计年鉴数据,对土地利用变化驱动力进行了分析。分析表明:①2000~2009年间,盐城市的土地利用类型发生了重大的变化,综合变化率为0.75,并且滩涂湿地变化率最高为-8.23,其次是水域为-5.17,林草地为3.27,建筑用地为2.24,耕地为0.69。②耕地主要转化为建筑用地,转化面积达349.806 km2,其次为水域;建筑用地面积增加了近100 km2,主要由耕地、水域和滩涂湿地转化而来;林草地主要转化为耕地,转化面积的增加主要是由滩涂湿地转化而来;水域主要转化为耕地;滩涂湿地主要转化为耕地,转化面积为144.59 km2。③2000~2009年间,盐城市土地利用变化主要受到城市化水平的提高,人口、经济的进一步增长以及国家的方针和地方的政策等多方面因素的共同影响。④研究揭示了盐城市近10年间土地利用变化特征及其驱动力,为该地区的进一步合理开发利用土地提供一定的参考依据。 相似文献
10.
该文以1999年及2009年岑溪市土地利用数据为来源,在GIS的支持下,分析了10年来研究区内的土地利用变化的时空特点及其转化过程,结合土地利用综合指数、耕地垦殖指数、植被覆盖指数、景观破碎度指数评价了土地利用变化的生态风险。研究表明:研究区域内10年间土地利用类型发生了复杂的相互转换,其中林草地、建设用地和耕地为研究区内变化面积最大的3种土地利用类型;受经济快速发展和城市化进程加快的影响,土地利用的广度和深度不断增大,全市土地利用趋于破碎化,土地生态风险程度有所增加。 相似文献
11.
IINTRODUCTION niques in China（ZHANG。t al，1999； CHEN et al，2000b）．Since the early 1990s，he acceleration of land With its abundant forest，land and water re－use／cover change（LUL乙）has spurred renewed con－sources，the area of the Nenjlang River valley Is one ofcerns about the role ofland use change Indrlvingmany the lmpoFtant lumber products and commodity grainenvironmental problems．Research on the causes and ba… 相似文献
12.
Land change is a cause and consequence of global environmental change.Land use and land cover have changed considerably due to increasing human activities and climate change,which has become the core issue of major international research projects.This study interprets land use and land cover status and the changes within the Koshi River Basin(KRB)using Landsat remote sensing(RS)image data,and employs logistic regression model to analyze the influence of natural and socioeconomic driving forces on major land cover changes.The results showed that the areas of built-up land,bare land and forest in KRB increased from 1990 to 2015,including the largest increases in forest and the highest growth rate in construction land.Areas of glacier,grassland,sparse vegetation,shrub land,cropland,and wetland all decreased over the study period.From the perspective of driving analysis,the role of human activities in land use and land cover change is significant than climate factors.Cropland expansion is the reclamation of cropland by farmers,mainly from early deforestation.However,labor force separation,geological disasters and drought are the main factors of cropland shrinkage.The increase of forest area in India and Nepal was attributed to the government’s forest protection policies,such as Nepal’s community forestry has achieved remarkable results.The expansion and contraction of grassland were both dominated by climatic factors.The probability of grassland expansion increases with temperature and precipitation,while the probability of grassland contraction decreases with temperature and precipitation. 相似文献
13.
WAN Rongrong YANG Guishan 《中国地理科学(英文版)》2007,17(4):349-356
Land use/cover change (LUCC) is one of the main boundary conditions which influence many hydrologic processes. In view of the importance of Taihu Lake Watershed in China and the urgency of discovering the impacts of LUCC on storm runoff, two flood events under five land cover scenarios in the Xitiaoxi River Basin of the upstream of Taihu Lake watershed were simulated by distributed hydrologic modeling system HEC-HMS. The influences of each land cover on storm runoff were discussed. It was concluded that under the same rainstorm the ascending order of runoff coefficient and peak flow produced by the 5 different land covers were woodland, shrub, grassland, arable land, and built-up land; the descending order of swelling time were woodland, shrub, grassland, arable land, and built-up land. Scenario of built-up land was the first to reach peak flow, then arable land, grassland, shrub, and woodland. There were close relationships between the runoff coefficients produced by the 5 different land covers. The degrees of impacts on runoff coefficient of land cover change modes were sorted by descending: woodland to built-up land, shrub to built-up land, grassland to built-up land, arable land to built-up land, woodland to arable land, shrub to arable land, arable land to grassland, shrub to grassland, grassland to arable land, and woodland to shrub. Urbanization will contribute to flood disaster, while forestation will mitigate flood disaster. 相似文献
14.
土地利用与土地覆被时空动态变化分析——以岷江上游地区为例 总被引：5，自引：2，他引：3
全面、客观地反映土地动态变化有利于正确认识对土地资源的开发和利用,能为地区产业结构调整,制定可持续发展的土地管理和土地规划提供依据。多时相遥感数据已经被成功运用于研究土地变化,评估前期政策对环境和土地利用的影响[1～5]。在遥感和GIS技术支持下,分析了岷江流域上游地区的土地利用/土地覆被状况及其1986～2000年的时空动态变化和驱动力影响。为保护该地区有限的珍贵林业资源,恢复长江上游的生态屏障作用和国土资源的有效可持续利用提供决策依据。 相似文献
15.
WU Yingmei SU Yufang ZHANG Lei 《中国地理科学(英文版)》2006,16(4):289-293
1 Introduction Economic development in any country or region entails a long process of structural change in production as GDP and income per capita rise. In addition, economic de- velopment requires a long period of structural transfor- mation in materials inputs through reallocating natural resources (Cipolla, 1962). Land, as a crucial element and a key factor of production, is always the best witness of such transformations. In China, one of the largest countries in the world, 13.5% of its… 相似文献
16.
《中国地理科学(英文版)》2021,(5)
Annual Land Use/Land Cover(LULC) change information at medium spatial resolution(i.e., at 30 m) is used in applications ranging from land management to achieving sustainable development goals related to food security. However, obtaining annual LULC information over large areas and long periods is challenging due to limitations on computational capabilities, training data, and workflow design. Using the Google Earth Engine(GEE), which provides a catalog of multi-source data and a cloud-based environment, we developed a novel methodology to generate a high accuracy 30-m LULC cover map collection of the Yangtze River Delta by integrating free and public LULC products with Landsat imagery. Our major contribution is a hybrid approach that includes three major components: 1) a high-quality training dataset derived from multi-source LULC products, filtered by k-means clustering analysis; 2) a yearly 39-band stack feature space, utilizing all available Landsat data and DEM data; and 3) a self-adaptive Random Forest(RF) method, introduced for LULC classification. Experimental results show that our proposed workflow achieves an average classification accuracy of 86.33% in the entire Delta. The results demonstrate the great potential of integrating multi-source LULC products for producing LULC maps of increased reliability. In addition, as the proposed workflow is based on open source data and the GEE cloud platform, it can be used anywhere by anyone in the world. 相似文献
17.
LAND COVER CHANGES AND LANDSCAPE DYNAMICS ASSESSMENT IN LOWER REACHES OF TARIM RIVER IN CHINA 总被引：6，自引：1，他引：5
WUXiu-qin CAIYun-long 《中国地理科学(英文版)》2004,14(1):28-33
The Tarim River Basin, located in the typical arid region, is one of the key regions of LUCC research in China and plays an important role in maintaining the sustainable development of the westem China. In recent years, the ecological environment of the Tarim River Basin has degraded greatly. In the lower reaches, in particular,the riverbed has been dried up for more than 20 years, which accelerated the desertification and has been a great threat to people‘s lives. Taking the section of the Tarim River between Qiala Lake and Taitema Lake as a typical region, an investigation on land cover changes was carried out with the support of remote sensing information of 1988 and 2000 respectively. The changes of land cover in this region were obtained: 1) Cropland tended to increase. 2)Urban or Built-up Area in 2000 was 324.4ha more than that in 1988.3) Waters expanded by 3476.51ha. 4) Woodland and Grassland decreased, while Barren Land increased by 3824.9ha. The total amount of land use/land cover change between 1988 and 2000 is small, which is only 0.355% of the total area. It shows that the developmental pace of the lower reaches of the Tarim River is relative slow. Based on these results, the authors assessed the landscape dynamics of this region and pointed out that the degree of desertification was strengthened and the landscape dominated by sand land was further characterized by salt desert. 相似文献
18.
RESEARCH ACTIVITIES ON LAND USE/COVER CHANGE IN THE PAST TEN YEARS IN CHINA USING SPACE TECHNOLOGY 总被引：8，自引：0，他引：8
１ ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅｒｅｃｅｎｔａｎｄｆｕｔｕｒｅｄｅｖｅｌｏｐｍｅｎｔｏｆｓｐａｃｅｂａｓｅｄｒｅｍｏｔｅｓｅｎｓｉｎｇｔｅｃｈｎｏｌｏｇｙｈａｓｂｒｏｕｇｈｔａｒｅｆｏｒｍａｔｉｏｎｔｏｒｅｓｅａｒｃｈｗｏｒｋａｓｗｅｌｌａｓｆｏｒｍｕｌａｔｉｎｇｓｕｉｔａｂｌｅｐｏｌｉｃｙｆｏｒｐｏｐｕｌａｔｉｏｎ，ｒｅｓｏｕｒｃｅｓ，ｅｎｖｉｒｏｎｍｅｎｔａｎｄｄｅｖｅｌｏｐｍｅｎｔ．Ｔｈｒｏｕｇｈｒｅａｌｔｉｍｅａｎｄｐｅｒｉｏｄｉｃｏｂｓｅｒｖａｔｉｏｎｓｏｆａｌａｒｇｅａｒ… 相似文献
19.
近30年来长江源区土地覆被变化特征分析 总被引：2，自引：0，他引：2
长江源区是我国重要的水源涵养地。本文利用20世纪70年代中后期、90年代初期、2004年和2008年共4期土地覆被数据,通过土地覆被转类途径与幅度、土地覆被状况指数和土地覆被转类指数,分析评价了长江源区近30年来土地覆被与生态状况的时空变化特征。结果表明：草地是长江源区主要的土地覆被类型,2008年草地面积占该区总面积的66.93%。在70年代中后期-90年代初期、90年代初期-2004年和2004-2008年的3个时段内,土地覆被状况指数变化率分别为-0.15、-0.24和0.01;土地覆被转类指数分别为-0.20、-0.66和0.08。近30年来,长江源区土地覆被和生态状况总体经历了变差-显著变差-略有好转的过程。2004-2008年,长江源区年平均温度比前期（70年代中后期-2004年）升高了0.57℃,年平均降水量比前期增加了17.63mm。区域气候变化有助于自然生态系统的恢复。后期生态保护与建设工程的实施,对植被恢复产生了一定的积极作用。 相似文献
20.
YANGZisheng LIANGLuohui LIUYansui HEYimei 《山地科学学报》2004,1(3):250-263
Land use/land cover change (LUCC) is a focus of the research of global environmental changes.The middle and upper reaches of the Yangtze River,which are the most ecologically fragile mountainous area in China as well as one of the areas in China with most notable LUCC, have been on the Chinese Government‘s list of priority areas for ecological restoration. This paper is to reveal the trend of LUCC and the ecological degradation arising from it, and to provide a basis for the future sustainable use of land resources in the region based on a detailed analysis of Yiliang County. Based on the county‘s land use/cover maps in 1960, 1980 and 2000 drawn with the aid of aerial photograph interpretation, field investigation and GIS based spatial-temporal data analysis, LUCC during 1960-2000 period and the ecological degradation arising from it were analyzed. Using the Markv model, the paper brings out a forecast of what the county‘s LUCC would be like if the county‘s current land use continues, as well as the reasons and countermeasures for restoring degraded ecosystems. 相似文献