新型城镇化背景下卫星城市旅游营销对策研究

结合新型城镇化的发展特点,联系武汉市新洲区旅游发展实际,寻找新型城镇化与旅游产业发展的内在契合点.在此基础上,提出卫星城市旅游产业营销方式在创新传统营销方式的前提下,加强新型营销手段的应用,打造一个高效率、高覆盖率的营销立体网络,以此促进城市的旅游产业发展,促进产业的融合,提升卫星城市的经济实力,促进新型城镇化向纵深处发展.     

利用单根肌纤维法分离和培养猪骨骼肌卫星细胞及其成肌诱导分化

建立单根肌纤维法体外培养猪骨骼肌卫星细胞的体系,了解其增殖和成肌特性。通过Ⅰ型胶原酶消化,从猪骨骼肌中分离完整的单根肌纤维并培养,用细胞免疫荧光鉴定肌纤维上的卫星细胞,随后对从单根肌纤维上游离出来的卫星细胞进行细胞免疫荧光染色,传代培养,成肌诱导分化和Western blot分析骨骼肌卫星细胞成肌特异性蛋白的表达。结果显示:分离并培养的单根肌纤维上附着有卵圆形的细胞,并随时间的推移,细胞缓慢向外迁移并增殖,卫星细胞特异性标志基因对盒转录因子(Paired protein box,Pax7)和成肌分化抗原(Myogenic Differentiation Antigen,MyoD)免疫荧光染色呈阳性,且阳性率达到90%以上。成肌诱导分化后,细胞开始汇合,并呈方向性生长,最终形成多核肌管,且成肌特异性标志基因Myogenin和myosin heavy chain(MyHC)表达呈阳性。MyoD蛋白高表达于增殖期,而Myogenin和MyHC在进入分化期才表达。该实验成功建立了猪骨骼肌单根肌纤维的体外培养方法并获得了高纯度的卫星细胞,为骨骼肌卫星细胞进行活体移植治疗相关疾病研究提供了实验材料。     

卫星遥感技术在林火管理与研究中的应用(英文)

卫星遥感已经成为森林火险等级预测、可燃物和火烧区制图、林火监测和火生态研究的一个主要数据来源。本文综述了这些研究领域的研究成果,分析了未来林火管理中采用的卫星遥感技术的发展趋势。根据卫星遥感数据制取的可燃物分布图可以满足林火管理在空间和时间尺度上的需要。单独采用遥感数据或结合地面气象数据可以生成一些火险指数,用于森林火险的预报。目前NOAA 和MODIS 卫星由于有高的时间分辨率已被广泛用于林火探测和监测,这些监测结果可以在许多林火网站上见到,这为世界各地的林火管理和研究提供了重要的参考资料。作为低成本的有效工具, 卫星遥感技术在确定火烧面积和过火区制图上发挥了重要作用。遥感技术的发展也可以用来推断火烧时间和估计火烧程度。卫星遥感也非常适合用来估计生物燃烧面积,这是估计全球或区域生物燃烧排放量和理解火对全球变化的影响的基础。本文还讨论了林火研究中采用的卫星类型。文章最后建议中国需要在卫星遥感技术的应用上进一步发展,提高我国的林火管理水平。参71。     

Characterizing rangeland vegetation using Landsat and 1-mm VLSA data in central Wyoming (USA)

As an alternative to ground-cover data collection by conventional and expensive sampling techniques, we compared measurements obtained from very large scale aerial (VLSA) imagery for calibrating moderate resolution Landsat data. Using a grid-based sampling scheme, 162 VLSA images were acquired at 100 m above ground level. The percent vegetation cover in each photo was derived using SamplePoint (a manual inventory method) and VegMeasure (a reflectance based, automated method). Approximately two-thirds of the VLSA images were used for calibrating Landsat data while the remainder was used for validation. Regression models with Landsat bands accounted for 55% of the VegMeasure-based measurements of vegetation, whereas models that included both Landsat bands and elevation data accounted for 67%. The relationship between the Landsat bands and the percent vegetation cover measured by SamplePoint was lower (R ² = 20%), highlighting the differences between the inventory and reflectance based protocols. Results from the model validation indicated that the model’s predictive power was lower when the vegetation cover was either <20% or >55%. Additional work is needed in these ecosystems to improve the calibration techniques for sites with low and high vegetation cover; however, these results demonstrate the VLSA imagery could be used for calibrating Landsat data and deriving rangeland vegetation cover. By adopting such methodologies the US Federal land management agencies can increase the efficiency of the monitoring programs in Wyoming and in other western states of the US. Mention of trade names is for information only and does not imply endorsement by USDA over comparable products or services.     

西藏地区对流云系的天气学模式特征

西藏地区在6～8月对流云系发展最为旺盛,对流天气中,雷暴的发生率最高,多分布在云团的边缘,冰雹大多伴随雷暴一起出现。利用MICAPS提供的2005～2009年卫星云图及地面、高空观测资料,将西藏地区的对流云系按系统性和非系统性2类进行研究。对比分析了云系与雷暴、冰雹等对流天气的生消演变关系,结合天气实况在云系演变中的反映,归纳出了切变线、低涡、槽线和弱气压场4类对流云系的天气学模式。     

Comparison of image and rapid field assessments of riparian zone condition in Australian tropical savannas

Suitable methods for measuring and monitoring the condition of riparian environments are being investigated by government agencies responsible for maintaining these environments in Australia. The objective of this work was to compare two riparian condition assessment approaches, the Tropical Rapid Appraisal of Riparian Condition (TRARC) method developed for rapid on-ground assessment of the environmental condition of savanna riparian zones and an image based riparian condition monitoring scheme. Measurements derived from these two approaches were compared and correlated. The sample representativeness of the TRARC method was evaluated and the cost-effectiveness and suitability for multi-temporal analysis of the two approaches were assessed. Two high spatial resolution multi-spectral QuickBird satellite images captured in 2004 and 2005 and coincident field data covering sections of the Daly River in the Northern Territory, Australia were used in this work. Both field and image data were processed to map indicators of riparian zone condition including percentage canopy cover, organic litter on the ground, canopy continuity, tree clearing, bank stability, and flood damage. Spectral vegetation indices, image segmentation, and supervised classification were used to produce riparian health indicator maps. QuickBird image data were used to examine if the spatial distribution of TRARC transects provided a representative sample of ground based estimates of riparian health indicators. Covering approximately 3% of the study area, the sample mean of the TRARC estimates of individual indicators of riparian zone condition were in most cases within 20% of the global mean derived from the whole imaged riparian area. The cost-effectiveness of the image based approach was compared to that of the ground based TRARC method. Results showed that the TRARC method was more cost-effective at spatial scales from 1 km to 200 km of river in relatively homogeneous riparian zones along rivers with only one channel, while image based assessment becomes more feasible at regional scales (200–2000 km of river). A change detection analysis demonstrated that image data can provide detailed information on gradual change, while the TRARC method is less suited for multi-temporal analysis due to the ranked data format, which inhibits precise detection of change. However, results from both methods were considered to complement each other for single date assessment of riparian zones if used at appropriate spatial scales.     

卫星云图资料在大暴雨过程中的应用

气象卫星资料在天气分析与研究方面均取得了大量的成果,特别是为降水估计提供了非常有用的帮助,在此通过对FY2D气象卫星资料和产品的特征分析揭示造成异常降水的原因,力图推动卫星资料和产品在天气预报,特别是重大灾害性天气预报中的应用,充分发挥卫星监测资料的优势．     

基于Landsat 8的东莞市热岛效应研究

以2014年广东省东莞市Landsat 8卫星的热红外波段数据建立模型,反演东莞市地表温度,研究东莞市热岛效应分布情况,从优势度指数、分维数指数和形状指数来分析热力场景观格局,根据热岛效应的不同影响因素分析东莞市热岛现象的成因。结果表明：Landsat 8卫星影像反演2014年东莞市地表温度是可行的;东莞市热力景观以中热岛为主,热岛效应不明显,分布呈西北偏高,中部地区和东南区域偏低;热力景观斑块较复杂、热力场呈条带状零星分布;受绿化、水体影响区域的热岛强度较小,而受人为热源、道路、城市下垫面和建筑等因素影响的区域,热岛强度较大。     

Landsliding related to land-cover change: A diachronic analysis of hillslope instability distribution in the Sierra Norte,Puebla, Mexico

This study examines mass movement associated with land use change, particularly deforestation, from multiple perspectives. The significance of such understanding is related to the degree of impact landsliding may cause on human settlements and economic activities, and on forest ecosystems. In this paper, the distribution of hillslope instability in the Sierra Norte, Puebla, Mexico is addressed by means of a diachronic analysis, which involves the development of vegetation indexes, as well as vegetation fragmentation derived from Landsat-5 (TM) and Landsat-7 (ETM+) satellite images from 1989 and 1999, respectively. The time period was chosen to compare vegetation cover conditions prior and after the extreme October 1999 rainfall event that triggered hundreds of slope failures in the study area. Results suggested there was a significant vegetation reduction from 1989 to 1999, which was strongly expressed by an increase of 809 km² of bare surfaces. Additionally, areas with highest vegetation density (91–100%) decreased considerably, from 1245 to 363 km², resulting in a net vegetation reduction of 70%. Furthermore, it was possible to highlight that landslide concentration was much higher on surfaces that were bare and had low vegetation density (0–50%), representing 85% of hillslope instability, than on surfaces having a greater density of vegetation cover. Land use change and land degradation are precursors to environmental hazards, such as mass movement events, that pose serious threats to regional population distributions and economic vitality.     

安徽省农业气象灾害定量监测评估研究

介绍了利用遥感和GIS技术定量监测安徽省主要农业气象灾害的方法 ,并对灾害的发生分布规律进行了分析 ,提出了主要农作物灾损率评估方法 ,获得了安徽省主要农作物的灾损率指标