遥感技术在土地利用动态监测中的应用

随着经济建设的发展,土地利用类型发生了十分显著的变化。及时、有效地监测土地资源的变化趋势,有利于土地资源的持续发展与规划。本文利用成都市周边地区2002年、2007年的两期Landsat遥感影像,完成了2002年、2007年土地利用类型图的编制,并进行了2002-2007年该地区土地利用动态变化趋势的分析。     

“3S”技术在四川生态环境动态监测中的应用研究

为有效实现四川省生态环境的动态监测,运用RS、GIS和GPS技术,以2004年中巴资源卫星(CBERS-02)遥感影像数据为信息源,2000年TM遥感影像解译的数据为基础,对2004年遥感影像进行解译,修改2000年数据库;手持GPS接收机,在野外对解译成果进行验证,更新数据库;利用GIS技术的空间分析功能,提取出2000～2004年期间土地利用/覆被变化信息,得到2000～2004年期间四川省高精度的土地利用/覆被变化数据库。最后对四川省土地利用/覆被变化信息进行分析,对四川省生态环境的下一步研究指名了方向。     

多源遥感数据结合的土地利用变化研究

针对多源遥感数据结合监测土地利用变化,本文以辽宁省盘锦市2005和2015年的TM和Landsat-8影像为实验数据,对该地区土地利用变化情况进行深入研究和探讨,重点分析了该研究区域的土地数据处理与分类、土地利用变化幅度模型、单一土地动态变化模型、综合土地动态变化模型、土地利用程度指数等,并分析了研究区域的转移矩阵及动态分析。结果表明:利用多源遥感影像处理,能够很好地总结和分析土地利用变化情况,使研究区域各项指标变化情况得到准确统计。     

RS和GIS技术在土地利用动态监测中的应用

论述卫星遥感影像的特点和用途,并以SPOT 5影像为例,探讨如何获取和利用不同时相的卫星遥感影像,通过内业判读,结合外业核查获得土地利用变化信息,进行土地的动态监测.介绍如何通过采取人机交互的方式进行判读、图斑采集、编制图斑统计表和制作影像挂图,论述遥感与GIS数据技术在土地利用动态监测中的综合应用.     

洛阳市近十年土地利用遥感动态监测及驱动力分析

随着国民经济建设迅猛发展,洛阳市城市结构、土地利用发生着巨大变化。本文应用3S技术,采用洛阳市2001年和2009年两个时相卫星遥感影像,通过遥感图像处理和信息提取,获取该市近十年来土地利用／覆盖变化的相关情况,并对结果进行动态变化分析。从自然环境、人口、经济、政策等方面分析洛阳市近十年来土地利用变化驱动机制。应用研究结果为洛阳市城市规划、土地合理利用提供科学决策依据。     

海陵岛土地利用变化遥感监测

本文介绍了采用3S技术。利用海陵岛80年代土地利用专题图和2003年资源二号卫星全色遥感影像与ASTER的多光谱遥感影像作为基础数据,制作两期土地利用专题图的方法,通过两个时相土地利用信息之间的对比,得出20年阀该岛土地利用状况的变化,并对这些变化的特征及发生原因进行分析,得出结论。     

郑州市土地利用/土地覆盖动态变化研究

利用地面统计数据和陆地卫星影像数据,分析了郑州市土地利用/土地覆盖的现状,研究了遥感影像提取土地利用/土地覆盖信息的机理,建立了适宜郑州市遥感影像判读的解译标志,结合两个不同时期的地面数据和影像数据,分析了郑州市十几年来土地利用的动态变化情况及存在的问题,指出了今后土地利用的方向.     

厦门市土地利用变化及其驱动力分析

在GIS和RS技术支持下,利用TM卫星遥感数据,采用转移矩阵、数学模型等方法,提取了厦门市2001年、2008年2期遥感影像的专题信息,建立了土地利用动态变化模型,定性、定量地分析了厦门市土地利用变化,对其过程和驱动力进行了分析,为厦门市土地资源可持续利用提供科学依据。     

石屏县土地更新调查的影像解译结果分析

利用2005年SPOT-5高分辨率卫星影像,运用RS、GIS、GPS等新的技术手段,分析、提取了石屏县土地利用变化信息。结果显示,石屏县新的土地控制面积为3 041.37km2,与2004年变更调查统相比较,现有辖区面积增加0.53km2。土地利用类型以农业用地为主,面积达25.40 536×104hm2,占总土地面积的83.53%。通过以高分辨率卫星影像进行更新调查,有效掌握石屏县土地利用状况和动态变化,查清土地利用结构,调整土地供应,有效利用土地资源提供了翔实的基础资料和科学依据。     

基于RS对云南边境地区土地覆盖现状及变化研究

 土地利用/覆盖变化研究是全球变化研究的热点之一。应用遥感、GIS技术及数理统计学的方法，利用1976年MSS和2004年TM二个时期的遥感影像数据，对云南边境地区的土地覆盖动态变化进行监测研究，并对变化的时空特征进行了分析。结果表明，土地覆盖现状以森林和裸岩地为主，土地利用/覆盖变化的主要方向是林地向裸地和耕地转化。     

Multiple band digital orthophoto quadrangle data: A source for generating land use maps

Abstract

The purpose of this study was to investigate the use of color infrared‐digital orthophoto quadrangle (CIR‐DOQ) data to generate land use/land cover (LULC) maps and to incorporate them as data layers in geographic information systems (GIS) involving various resource management scenarios. The Danville 7.5‐minute quadrangle located in the southern part of Limestone and Morgan counties, Alabama, was used as the study site. Data for the special CIR‐DOQ were generated by scanning four 9x9 inch CIR aerial photographs at a uniform pixel sample grid of 25 microns resulting in 2 meters ground sample resolution. One‐half of the quadrangle was used to identify training sites for performing a supervised classification of the data and the other half to verify the accuracy of the classification. The CIR‐DOQ data were found to be adequate for using a supervised classification algorithm to differentiate major LULC classes, resulting in a classification accuracy of 93 percent. The superior spatial quality of the data over commençai satellite data affords resource managers an opportunity to more effectively study land cover and surface hydrological properties of an area, soil moisture and surface soil textures, as well as differentiate among vegetation species, using remote sensing techniques. However, caution must be exercised when using multispectral classification techniques to classify mosaicked CIRDOQ data because of the image enhancements used to generate the final product. In its present form, there are some limitations to the use of the data for performing spectral classifications. Hozvever, the high spatial resolution of the data enables even the novice resource planner to effectively use the data in visual interpretations of major LULC classes.     

A NATURAL RESOURCE EVALUATION OF ERTS-1 IMAGERY OF THE CENTRAL AFAR REGION IN ETHIOPIA

System corrected multispectral imagery of the Central Afar region in Ethiopia provided by the ERTS-1 satellite was evaluated for the purposes of natural resource inventory under the headings of geology, vegetation, soils and land use. The methods and results of image interpretation are discussed in detail and the following general conclusions may be drawn. The ERTS-1 imagery provides a synoptic view of the region that is very nearly orthographic. A colour composite print of multispectral bands 4, 5 and 7 is superior to any of the individual black and white bands for natural resource interpretation. Exploratory soil, vegetation and land use maps and reconnaissance geological maps can be constructed rapidly. The small percentage of forest and agricultural land in this particular area enhances the geological value of the image. Satellite imagery is a valuable addition to the more conventional forms of aerial photography for agricultural studies provided that the study area covers at least 10 000 km². Ground control was acquired between October 1972 and May 1973.     

Research on Rare Cranes Population Response to Land Use Change of Nature Wetland

Shengjin Lake is the only national wetland nature reserve in Anhui Province with rare wintering waterbirds as the main protection object. In recent years, with the strengthening of human activities, the number of rare cranes has changed significantly. Taking the Shengjin Lake natural wetland as an example, this paper studied the response of crane population to land use change, which had important implications for the protection of cranes. This paper analyzed the land use of Shengjin Lake by referring to the eight periods of TM remote sensing images (1986, 1990, 1995, 2000, 2004, 2008, 2011 and 2015) and using ERDAS and ArcGIS tools. The diversity of bird habitats in Shengjin Lake nature reserve was analyzed. Combined with the changes in the number of rare cranes from 1986 to 2015, the impacts of land use and climate change on the cranes in protected areas were analyzed. The results showed that: there was a correlation between the number of cranes land use types and climate changes. The type of land of Shengjin Lake nature reserve was relatively small change in the early years in 1986. It was a relatively large change in the type of land, and the number of cranes had a significantly reducing in 1990s. It until 2000, the number of rare cranes had a slight rebound; however from 2012 to 2015, the number of cranes had dropped again. It had a greater influence on the number of cranes about the change of construction land, reeds mudflats, mudflats, marsh land and paddy fields in the wetland.     

A CARTOGRAPHIC SIMULATION MODEL OF THE EFFECTS OF ECONOMIC ACTIVITY ON THE ENVIRONMENT

The principles of systems mapping are employed in a model simulating the effects of human activity on the environment. The model takes the form of series of maps which are organized within three basic units or “blocks.” Block I contains general preliminary maps of land use and environmental change within an area which can serve as a basis for subsequent forecasting and proposals for improving land use. Block II contains maps that take stock of, evaluate, and predict human impacts on specific environmental components, and show the spatial distribution of measures proposed to ameliorate these impacts. Block III consists of maps synthesizing the component-related information of the preceding block for the purpose of providing summary assessments about the condition of the environment and land use conflicts in an area and targeting areas deserving the most comprehensive reclamation efforts. Methods of compiling the various maps are described in detail. Translated from: Izvestiya AN SSSR, seriya geograficheskaya, 1986, No. 2, pp. 114–127.     

Resolution vs. image quality in pre-tsunami imagery used for tsunami impact models in Aceh,Indonesia

Land cover roughness coefficients (LCRs) have been used in multivariate spatial models to test the mitigation potential of coastal vegetation to reduce impacts of the 2004 tsunami in Aceh, Indonesia. Previously, a Landsat 2002 satellite imagery was employed to derive land cover maps, which were then combined with vegetation characteristics, i.e., stand height, stem diameter and planting density to obtain LCRs. The present study tested LCRs extracted from 2003 and 2004 Landsat (30 m) images as well as a combination of 2003 and 2004 higher spatial resolution SPOT (10 m) imagery, while keeping the previous vegetation characteristics. Transects along the coast were used to extract land cover, whenever availability and visibility allowed. These new LCRs applied in previously developed tsunami impact models on wave outreach, casualties and damages confirmed previous findings regarding distance to the shoreline as a main factor reducing tsunami impacts. Nevertheless, the models using the new LCRs did not perform better than the original one. Particularly casualties models using 2002 LCRs performed better (δAIC > 2) than the more recent Landsat and SPOT counterparts. Cloud cover at image acquisition for Landsat and low area coverage for SPOT images decreased statistical predictive power (fewer observations). Due to the large spatial heterogeneity of tsunami characteristics as well as topographic and land-use features, it was more important to cover a larger area. Nevertheless, if more land cover classes would be referenced and high resolution imagery with low cloud cover would be available, the full benefits of higher spatial resolution imagery used to extract more precise land use roughness coefficients could be exploited.     

The assessment of potential land use in the proposed irrigation command using Remote Sensing and GIS

Standard false colour composites (Std. FCC) on 1:50,000 scale was visually interpreted in conjunction with soil survey to prepare physiographic-soil map. Thirteen mapping units were delineated indicating soil association at family-level. Soil and land resource was evaluated for their land capability and irrigation suitability for its sustained use under irrigation. Land capability and land irrigability maps were generated as attribute map. These maps were integrated to suggest potential land use map. Current land use/land cover map prepared by visual analysis was spatially analysed in relation to potential land use to study potential changes in land use / land cover using GIS. The study reveals that 14.66% area has no limitation and can be brought to intensive agriculture by double cropping.     

近40年老哈河流域土地利用变化监测与分析

利用决策树和支持向量机分类方法,基于多期Landsat MSS,TM and ETM+遥感图像和其他辅助数据,对1970s以来近40年半干旱的老哈河流域土地利用变化(land use and land cover change,LUCC)进行动态监测,并利用GIS方法对LUCC进行了定量分析和空间分布制图.结果显示,利用支持向量机分类方法对该地区1976年、1989年、1999年和2007年土地覆盖类型分类可达到较满意的效果;近40年老哈河流域土地利用变化显著,水体和草地减少,城乡用地持续扩张,耕地大幅增加,林地和未利用地大幅度波动、总体减少.LUCC主要发生在林地、草地和耕地之间,表明农、林、牧用地之间转换显著,且在各个时期的空间分布差别较大.从变化强度来看,土地利用的年综合变化率最大值渐趋增大,年均土地动态度在空间分布上差异很大,另外在各研究期赤峰市区周边动态度都很大,反映了赤峰市持续性的城市化进程.     

地理国情普查在城市空间形态演变中的应用

以地理国情普查数据为基础,结合历史高分辨率遥感影像和规划成果数据,采用地理信息系统(geographic information system,GIS)空间叠置分析和形态指数测度方法,研究2004-2015年江门市主城区的空间形态演变规律。研究结果表明:(1)2004-2015年,江门市主城区的建设用地规模以低速度和低强度的模式平稳增长52.06 km²,增长幅度达到40.91%,总体发展方向为东北向。(2)2004-2015年,江门市主城区的城市发展模式先外扩后内充,城市形态先离散后聚集,城市边界先复杂后简单。(3)地理国情普查成果与多源规划耦合分析的结果不容乐观。虽然部分耦合指数还比较高,均达到70%以上,但是建设用地规划完成率还不到60%,用地指标留存的形势颇为严峻。     

Land use change analysis of Bharatpur district using GIS

Knowledge on area and distribution of land uses plays an important role in district planning. An attempt has been made here to study existing land use pattern and changes in the land use pattern of Bharatpur district. Multi-date remote sensing data (1986 and 1989) has been used for the purpose. Seventeen land use maps on 1∶50,000 scale were prepared. ARC/INFO GIS package has been employed for the land use analysis. GIS package has also been used to relate the land use information to the villages and arrive at tentative comparison of land use as is reported in Census and as obtained from the remote sensing. Major findings in land use pattern of Bharatpur district are a) that the land use pattern in Bharatpur district is not similar to that of general land use pattern prevalent in Rajasthan State as a whole, b) Agriculture is the predominant user of land occupying about 75 percent of the reporting area, c) Forest cover in the district is not very significant and it has been depleted from 5.6 percent to 3.1 percent, d) the area under pastures and tree crops is also negligible and e) Area under waste land (eroded land, undulating terrain with or without scrub and rock out crops has been increased from 6.34 percent to 7.89 percent. The area under salt affected land, sandy area and water logged area has been decreased from 6.83 percent to 2.09 percent.     

Influence of image availability and change processes on consistency of land transformation interpretations

Large-scale land change maps are essential to support policies addressing land transformations. Calibration and validation of large-scale land change maps require reference data that are commonly acquired by visual interpretation of remotely sensed images. However, visual interpretation itself is prone to error. Little is known about factors influencing the quality and consistency of changes detected by visual interpretation. This paper reports on an experiment assessing the effect of the number of very high resolution images and land change process types on the consistency of visual interpretations. The experiment involved 48 sites scattered over Europe for which 18 individuals interpreted very high resolution images, which were provided via Google Earth. Land change process type was found to have a significant impact on the consistency of visual interpretations, while the marginal effect of the number of images was not significant. Absence of change on non-agricultural land was interpreted with high consistency. On the contrary, agricultural land abandonment and reforestation were the least consistent in their interpretation. We conclude that for increased efficiency, resources allocated to acquire reference data by visual interpretation should be adjusted based on the expected type of land change. Interpretation of agricultural land abandonment, reforestation and agricultural land expansion require most efforts.