应用遥感监测技术分析扬州市五年植被覆盖状况

利用扬州市2006—2010年间卫星遥感数据,对扬州市植被覆盖状况进行了研究。首先对遥感影像进行几何校正,其次对遥感影像进行解译,提取植被覆盖信息,计算扬州市植被覆盖指数,同时对扬州市近5年植被覆盖进行了动态变化分析。研究表明,扬州市近5年林地面积大幅度提高,植被覆盖指数逐年增加,生态环境状况逐年好转。     

兴化市生态环境遥感动态监测与分析

基于遥感(RS)和地理信息系统(GIS)技术,对兴化市的生态环境状况作分析。以2005年和2012年的影像图为数据源,经过图像预处理,通过解译与分类,得到该市2个时期土地利用状况的变化情况。在此基础上,对2个时期的土地利用类型作对比,结果表明,耕地面积减少明显,城镇、农村居民点和其他建设用地面积增加突出。分别计算2个时期的生物丰度指数和植被覆盖指数,并分析了影响生态环境的主要因素。     

塔里木河下游土地覆盖动态变化分析

利用80－90年代的TM影响数据，借助GIS分析了新疆塔里木河下游典型生态调查区内土地利用／土地覆盖现状及动态变化，并对塔河下游土地开发效果进行了对比分析。结果显示，耕地和城镇居住住用地的增加完全来源于对草地的开垦和对荒漠胡杨林的占用。同时，由于沙化、盐咸化等自然因素的影响和因对水资源的不合理利用所产生的土壤次生盐渍化的共同作用，控制着区内生态环境不断恶化的总体态势。     

基于土地利用变化的忻州市生态格局时空变化分析

为了厘清改革开放以来忻州市各类生态系统及生态系统格局的时空特征,使用忻州全市1980、2000、2018年的土地利用和覆盖(LULC)二级分类数据,经过土地转移矩阵和景观格局指数计算,探讨分析了忻州市改革开放以来近40年的LULC及格局的长时间序列时空变化特征,以揭示忻州市的生态环境变化态势。研究区近40年来以城镇用地和其他建设用地增加为主,其他各类减少,城镇化和人口增长带来的土地和生态压力主要集中在草地、耕地以及湿地上;其中2000—2018年的变化更剧烈,人类活动对自然的干扰加剧,但同时在这一阶段已经开始了森林、湿地的保护,开展经济发展与生态文明同步建设。     

山东省生态环境遥感监测及其动态变化研究

应用遥感技术对山东省生态环境进行监测，利用GIS技术对遥感监测结果进行解译与分析，同时对2004年-2006年间山东省生态环境时空动态变化进行了分析与评价。结果表明，山东省生态环境类型以耕地和城乡、工矿、居民用地为主，未利用土地面积极小。其生态环境动态变化的主要特点是耕地、草地面积普遍有小幅度减少，以工交建设用地为主的城乡、工矿、居民用地增加较多，林地、水域面积无明显变化，未利用土地面积有所减少，以盐碱地面积减少为主。     

基于RS/GIS的新疆绿洲动态变化研究

在新疆土地利用，土地覆盖类型判读解译的基础上，对新疆绿洲近五年来的面积变化及发展趋势进行了分析。目前，在人类活动的干扰下，新疆绿洲面积正以平均每年822．48km^2的速度扩大。     

湟水流域土地资源环境承载力分析

以湟水流域为研究区，从生态敏感性、土地利用生态适宜性角度分析流域土地资源利用合理性，以生态用地为约束评价土地资源环境承载能力。结果表明：流域内中度敏感区占比最高，为4170%，主要处于以高、中覆盖度草地、林地、水域及未利用土地为主的浅山区和脑山区的相交区域；高度敏感区占比1513%，集中分布于以林地为主的脑山区。9887%的城乡工矿居民用地处于非敏感区和一般敏感区内，流域内城乡建设用地类型空间布局总体上与生态环境相适应，布局合理；水域、高覆盖度草地和林地的改变会对生态环境造成很大影响，不适宜开发利用。     

基于RS与GIS的水土保持生态功能区生态状况评估

以河南省大别山水土保持国家重点生态功能区为研究区,基于RS与GIS获取2012年和2017年研究区植被覆盖、土地利用、土壤侵蚀等遥感解译数据,从生态功能、生态结构和生态压力3个方面,采用综合指数法,对研究区生态状况进行动态监测与评价。结果表明,2012—2017年间,研究区土地利用结构发生较明显的变化,林草地覆盖率上升9.85%,耕地和建设用地面积比上升13.23%,水域湿地面积比变化不大;植被覆盖指数上升 62.74%,中度以上土壤侵蚀面积比略有增加;生态状况变化度ΔF=4.95,整体生态状况等级由良变为优,生态状况变化度评级为显著变好。     

基于RS和GIS的干旱荒漠区域土壤侵蚀动态监测与评价

为建立土壤侵蚀动态变化数据库，本文以土地利用数据、植被覆盖指数、最大风速等值线图和DEM数据为信息源，对干旱荒漠区新疆克拉玛依市2000年和2007年的土壤侵蚀状况进行了动态监测与评价。结果表明，受自然条件和人类活动影响，8年间克拉玛依市土壤侵蚀强度有所增加，变化区域主要集中在克拉玛依市中部平原区。该方法的应用实现了土壤侵蚀的定时定量评价。     

近期我国生态环境状况变化趋势分析研究

利用2000年和2005年遥感监测数据及相关统计数据,从生物丰度、植被覆盖、水网密度、土地退化和环境质量五个方面综合评价近五年来我国的生态环境变化趋势,并分析生态环境状况的变化与生物丰度指数等五个因子之间的相关关系.该评价不包括香港特别行政区、澳门特别行政区和台湾省.     

南通市生态环境遥感监测及其动态变化研究

应用遥感技术对南通市生态环境进行监测,利用GIS技术对遥感监测结果进行解译与分析,同时对2006-2009年南通市生态环境时空动态变化进行了分析与评价.结果表明,南通市生态环境类型以耕地、水域和城乡、工矿、居民用地为主,未利用土地面积极小.其生态环境动态变化的主要特点是耕地面积普遍有小幅度减少,以城镇建设用地为主的城乡、工矿、居民用地增加较多,林地面积无明显变化；未利用土地面积有所减少,以盐碱地面积减少为主,减少的面积主要用于耕地和建设用地.     

Land use patterns and urbanization in the holy city of Varanasi, India: a scenario

Rapid urbanization and increasing land use changes due to population and economic growth in selected landscapes is being witnessed of late in India and other developing countries. The cities are expanding in all directions resulting in large-scale urban sprawl and changes in urban land use. The spatial pattern of such changes is clearly noticed on the urban fringes or city peripheral rural areas than in the city center. In fact, this is reflected in changing urban land use patterns. There is an urgent need to accurately describe land use changes for planning and sustainable management. In the recent times, remote sensing is gaining importance as vital tool in the analysis and integration of spatial data. This study intends to estimate land use pattern in a planned and unplanned urban setup and also to analyze the impact of change in land use pattern in the Varanasi urban environment. The results indicate that the planned urban setup had a higher tree cover to that of unplanned area in the Varanasi City, although a considerable disparity existed within the planned urban setups. The results emphasize the need to critically review concepts of urban planning and give more consideration to the preservation and management of urban tree cover/greenspace.     

Seasonal variations in the relationship between landscape pattern and land surface temperature in Indianapolis, USA

This paper intended to examine the seasonal variations in the relationship between landscape pattern and land surface temperature based on a case study of Indianapolis, United States. The integration of remote sensing, GIS, and landscape ecology methods was used in this study. Four Terra's ASTER images were used to derive the landscape patterns and land surface temperatures (LST) in four seasons in the study area. The spatial and ecological characteristics of landscape patterns and LSTs were examined by the use of landscape metrics. The impact of each land use and land cover type on LST was analyzed based on the measurements of landscape metrics. The results show that the landscape and LST patterns in the winter were unique. The rest of three seasons apparently had more agreeable landscape and LST patterns. The spatial configuration of each LST zone conformed to that of each land use and land cover type with more than 50% of overlap in area for all seasons. This paper may provide useful information for urban planers and environmental managers for assessing and monitoring urban thermal environments as result of urbanization.     

基于遥感和Markov模型的新疆生产建设兵团土地利用变化

通过对兵团土地利用空间格局变化分析,选择合适的土地利用政策保护生态环境。运用RS和GIS技术对兵团近10年土地利用/覆被变化及景观格局空间变化进行分析,并在此基础上运用Markov模型对未来30年土地利用变化进行预测。2000—2010年,新疆生产建设兵团景观多样性升高,连通性增强,形状愈来愈简单,景观格局整体变化不大;草地、灌丛、湿地、荒漠和冰川/永久积雪面积减少,耕地和城镇面积增加,森林保持稳定;人为干扰对土地利用结构的变化具有重要作用,土地利用强度受人为活动影响的同时受土地利用政策影响;在未来30年间耕地和城镇面积继续增加,除森林基本保持不变外其他土地利用类型均减小。兵团城镇用地与草地和耕地之间的矛盾逐渐显现,势必引起兵团生态格局的变化。因此,必须实行合适的土地利用政策保护环境。     

Examining Relationships Between Socioeconomic Factors and Landscape Metrics in the Southern Basin of the Caspian Sea

Socioeconomic forces are not only among the main drivers of landscape dynamics; they are also influenced by landscape patterns. Landscape structure and functions are closely related to natural and social factors. The objective of this study was to investigate the relationships among some human-related factors and landscape ecological metrics as landscape pattern indicators and to identify suitable metrics for modeling these relationships. To this goal, landscape ecological metrics were calculated for each of the 32 counties of Mazandaran and Guilan provinces located in the southern basin of the Caspian Sea using land use/cover maps in class level. Stream network metrics were calculated using a digital elevation model, road density metrics were calculated using map of main roads separately, and significant metrics were selected according to results of correlation tests and factor analysis. The correlations between these metrics and socioeconomic factors were tested, and their relationships were modeled with multiple linear regressions. Significant relationships were found among socioeconomic factors and landscape ecological metrics, and land use/cover data are applicable for modeling socioeconomic factors, especially demographic and employment structure factors. Among the landscape metrics applied in this study, road density, mean patch size, mean nearest neighbor distance, and percentage of a land use/cover class in landscape were important metrics for predicting socioeconomic factors. Our findings indicated that road density metric and percentages of urban class are useful for predicting urban socioeconomic factors and percentage of agriculture and forest classes in the landscape are suitable metrics for predicting rural socioeconomic factors.     

Multi-scale landscape factors influencing stream water quality in the state of Oregon

Enterococci bacteria are used to indicate the presence of human and/or animal fecal materials in surface water. In addition to human influences on the quality of surface water, a cattle grazing is a widespread and persistent ecological stressor in the Western United States. Cattle may affect surface water quality directly by depositing nutrients and bacteria, and indirectly by damaging stream banks or removing vegetation cover, which may lead to increased sediment loads. This study used the State of Oregon surface water data to determine the likelihood of animal pathogen presence using enterococci and analyzed the spatial distribution and relationship of biotic (enterococci) and abiotic (nitrogen and phosphorous) surface water constituents to landscape metrics and others (e.g. human use, percent riparian cover, natural covers, grazing, etc.). We used a grazing potential index (GPI) based on proximity to water, land ownership and forage availability. Mean and variability of GPI, forage availability, stream density and length, and landscape metrics were related to enterococci and many forms of nitrogen and phosphorous in standard and logistic regression models. The GPI did not have a significant role in the models, but forage related variables had significant contribution. Urban land use within stream reach was the main driving factor when exceeding the threshold (> or =35 cfu/100 ml), agriculture was the driving force in elevating enterococci in sites where enterococci concentration was <35 cfu/100 ml. Landscape metrics related to amount of agriculture, wetlands and urban all contributed to increasing nutrients in surface water but at different scales. The probability of having sites with concentrations of enterococci above the threshold was much lower in areas of natural land cover and much higher in areas with higher urban land use within 60 m of stream. A 1% increase in natural land cover was associated with a 12% decrease in the predicted odds of having a site exceeding the threshold. Opposite to natural land cover, a one unit change in each of manmade barren and urban land use led to an increase of the likelihood of exceeding the threshold by 73%, and 11%, respectively. Change in urban land use had a higher influence on the likelihood of a site exceeding the threshold than that of natural land cover.     

Determining land use changes by radar-optic fused images and monitoring its environmental impacts in Edremit region of western Turkey

Rapid and unplanned urbanization and industrialization are the main reasons of environmental problems. If urban growth is not based on resource sustainability criteria and urban plans are not applied, natural and human resources are damaged dramatically. In this study, land use change and urban expansion in Edremit region of Turkey is determined by means of remote sensing techniques between 1971 and 2002. To improve the accuracy of land use/cover maps, the contribution of SAR images to optic images in defining land cover types was investigated. To determine the situation of land use/cover types in 2002 accurately, Landsat-5 images and Radarsat-1 images were fused, and the land use/cover types were defined from the fused images. Comparisons with the ground truth reveal that land use maps generated using the fuse technique are improved about 6% with an accuracy of 81.20%. To define land use types and urban expansion, screen digitizing and classification methods were used. The results of the study indicate that the urban areas have been increased 1,826 ha across the agricultural fields which are in land use capability classes of I and II, and significant environmental changes such as land degradation and degeneration of ground water quality occurred.     

Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005

This paper illustrates the result of land use/cover change in Dhaka Metropolitan of Bangladesh using topographic maps and multi-temporal remotely sensed data from 1960 to 2005. The Maximum likelihood supervised classification technique was used to extract information from satellite data, and post-classification change detection method was employed to detect and monitor land use/cover change. Derived land use/cover maps were further validated by using high resolution images such as SPOT, IRS, IKONOS and field data. The overall accuracy of land cover change maps, generated from Landsat and IRS-1D data, ranged from 85% to 90%. The analysis indicated that the urban expansion of Dhaka Metropolitan resulted in the considerable reduction of wetlands, cultivated land, vegetation and water bodies. The maps showed that between 1960 and 2005 built-up areas increased approximately 15,924 ha, while agricultural land decreased 7,614 ha, vegetation decreased 2,336 ha, wetland/lowland decreased 6,385 ha, and water bodies decreased about 864 ha. The amount of urban land increased from 11% (in 1960) to 344% in 2005. Similarly, the growth of landfill/bare soils category was about 256% in the same period. Much of the city's rapid growth in population has been accommodated in informal settlements with little attempt being made to limit the risk of environmental impairments. The study quantified the patterns of land use/cover change for the last 45 years for Dhaka Metropolitan that forms valuable resources for urban planners and decision makers to devise sustainable land use and environmental planning.     

Land cover changes on the coastal zone of Candarli Bay, Turkey using remotely sensed data

Land cover of the Earth is changing dramatically because of human activities. Information about changes is useful for management of natural resources. Rapid land cover changes have taken place in many coastal areas of Turkey over the last two decades due to urbanization and land degradation. In this paper, land cover change dynamics were investigated by the combined use of satellite remote sensing and geographical information systems. The main objective of the study was to determine land-cover transition rates among land cover types in coastal areas of Turkey. A time series of Landsat TM and ASTER images were used to gather land cover change data of the coastal line of Candarli Bay, Izmir, Turkey. The images were classified using supervised classification and a post-classification comparison approach was used in change detection. The results show significant increase in urban areas but decrease in semi natural and agricultural areas.