基于知识的AVHRR影像的水体自动识别方法与模型研究

根据水体光谱特性，通过分析水体在ＮＯＡＡ气象卫星的ＡＶＨＲＲ影像上的表象特征及与其它相关环境因子在光谱信息上的差异，认为水体在ＡＶＨＲＲ影像上具有光谱可分辨性，从而提出了基于水体光谱知识的水体自动提取识别的水体描述模型，并将该模型应用于太湖、淮河、渤海等地区，取得较好的效果。该模型方法同样可扩展应用于其它传感器获得的影像数据，从而实现遥感信息提取的自动化与智能化     

福建省2005-2017年大气边界层SO2的时空变化特征

为研究近年来福建省SO₂污染的时空动态特征,利用臭氧观测仪（ozone monitoring instrument,OMI）卫星遥感反演的PBL（planetary boundary layer,大气边界层）SO₂柱含量数据,分析了2005-2017年福建省PBL SO₂柱含量的时空间分布特征.结果表明:①在长时间尺度上,PBL SO₂柱含量的变化趋势可分为2个时段,其中,2005-2011年PBL SO₂柱含量呈逐渐上升趋势,6 a增加了约0.027 DU,增长率约为6.12%;2011-2017年PBL SO₂柱含量呈下降趋势,7 a减少了约0.018 DU,下降率约为3.89%.②PBL SO₂柱含量呈明显的周期性变化特征,最小值和最大值分别出现在6月和12月,多年平均值分别约为0.383和0.555 DU.③PBL SO₂柱含量的3个高值区分别出现在沿海的福州市,厦门市、漳州市东部和泉州市西部,三明市和南平市部分地区,这3个高值区多年平均PBL SO₂柱含量分别约为0.505、0.495和0.485 DU.从城市尺度上来看,PBL SO₂柱含量最大值出现在厦门市,其多年平均值为（0.486±0.015）DU;其次为福州市,PBL SO₂柱含量多年平均值为（0.465±0.026）DU;最低值出现在漳州市,PBL SO₂柱含量多年平均值为（0.429±0.020）DU.④福建省PBL SO₂柱含量变化趋势在空间分布上存在明显的差异,不同时期、不同区域变化趋势不一致.2005-2011年PBL SO₂柱含量的变化范围为-0.13~0.18 DU,变化率范围为-25%~50%,PBL SO₂柱含量出现增长的区域主要是在高值区,如龙岩市西部、厦门市北部以及三明市东部等区域;2011-2017年PBL SO₂柱含量的变化范围为-0.13~0.15 DU,变化率范围为-29%~34%.2011-2017年福州市和厦门市PBL SO₂柱含量下降最为明显,减少了约0.10 DU,下降率约为25%.研究显示,卫星遥感估算的PBL SO₂柱含量具有一定的可靠性,可以用于区域SO₂污染的研究.      

Sperm competition in horseshoe crabs (Limulus polyphemus)

Male horseshoe crabs have two mating tactics. Some males come ashore attached to a female (clasping the posterior margin of the females' carapace with their modified pedipalps) and nest with her on the intertidal portion of the beach during the high tide. Other males come ashore unattached and crowd around nesting couples. Fertilization is external and unattached males that are in contact with a pair, i.e. satellite males, release sperm, so the assumption has been that they are fertilizing eggs. We conducted a paternity analysis to determine the proportion of eggs fertilized by attached and satellite males. Pairs with one satellite were observed during nesting on beaches in Florida and Delaware and their eggs were collected and reared to the late trilobite or first instar horseshoe crab stage. DNA was extracted from these offspring and from each adult (female, attached and satellite male) for use in paternity analysis. A Limulus-specific hypervariable microsatellite locus was identified and primers were constructed to amplify this locus via the polymerase chain reaction (PCR). Genotypes of putative parents and offspring were determined by resolving length variants of these PCR products on acrylamide gels. This allowed us to determine parentage of the offspring. We demonstrate that satellite males fertilized 40% of the eggs on average, attached males fertilized 51% and 4% of the eggs that were laid by the female were fathered neither by the attached male nor by the satellite (and 5% could not be determined unambiguously). There is high variability in the success of satellite males, ranging from 0 to 88%. Part of this variability can be explained by the position of the satellite relative to the attached male. We discuss the mechanics of fertilization and the possible advantages for multiple mating in this species.     

无锡市水环境的卫星遥感分析

利用计算机图像处理和多元统计方法处理了无锡市卫星遥感数据,形象直观地显示了无锡市水环境的宏观面貌,较好地反映了无锡水网主干河道的水质空间分布特征。研究表明,卫星遥感技术作为地面监测方法的一种有效补充,可提供丰富的遥感水质信息。     

“2014.5.10”云南怒江州福贡泥石流成因分析

2004年5月10日云南怒江州福贡县石月亮乡发生泥石流等地质灾害,造成人员、经济重大损失。分析了此次泥石流形成的条件,并着重探讨了天气学成因,结果表明:脆弱的地质环境、陡峻的迎风坡、便于集水、集物的地形地貌和丰富的松散物质是怒江贡山泥石流易发生的有利地质地貌条件;连续性累积降水及短时间暴雨的产生为泥石流提供了较好的水源条件;高原短波槽与孟加拉湾南支槽东移合并,中、低层槽前西偏南暖湿气流500 h Pa偏西北气流是形成怒江暴雨过程的大尺度天气环流背景;地面辐合线、干线、低层显著湿区、湿舌等是导致降水的中尺度系统;高能高湿的潜在不稳定及近地层的水汽辐合是暴雨发生的有利条件;多普勒雷达图10~20 d Bz分散的絮状回波、部分35 d Bz块絮状回波、卫星云图多絮状对流云、无强对流云团活动反映此次暴雨过程为非对流性暴雨。     

Landscape ecological planning through a multi-scale characterization of pattern: studies in the Western Ghats,South India

This article analyzes landscape pattern in the WesternGhats mountain ranges in south-western India at two scales,comparing small-scale, detailed studies of landscapepattern, with broader, regional-scale assessments of theWestern Ghats. Due in large part to their inaccessibility,relatively little is known about the landscapes of thisbiodiverse region, which also supports some of the highestpopulation densities in the world. A broad-scale NDVI-basedIRS 1B satellite image classification is used to analyzenorth-south and east-west trends across the entire WesternGhats and western coast of India, an area over 170 000 km². Northern and eastern landscapes are morefragmented compared to the southern and western slopes.Western slopes also have greater landscape diversity withland cover types more interspersed compared to the easternslopes. These differences can be related to north-south andeast-west variations in rainfall and plant distribution. Data from thirteen landscapes 10–50 km² in area, arefurther utilized to analyze trends in landscape pattern, anddescribe the geographical distribution of major natural andmanaged ecotope types. At this scale, very high levels ofintra-ecotope type variability in landscape pattern areencountered for all land cover types. Results at these twoscales are integrated to suggest a hierarchical stratifiedapproach for monitoring land cover and biodiversity in the region.     

Use of Satellite Imagery as Environmental Impact Assessment Tool: A case Study from the Nw Egyptian Red Sea Coastal Zone

Knowledge and detecting impacts of human activities on the coastal ecosystem is an essential management requirement and also very important for future and proper planning of coastal areas. Moreover, documentation of these impacts can help in increasing public awareness about side effects of unsustainable practices. Analysis of multidate remote sensing data can be used as an effective tool in environmental impact assessment (EIA). Being synoptic and frequent in coverage, multidate data from Landsat and other satellites provide a reference record and bird’s eye viewing to the environmental situation of the coastal ecosystem and the associated habitats. Furthermore, integration of satellite data with field observations and background information can help in decision if a certain activity has caused deterioration to a specific habitat or not. The present paper is an attempt to utilize remote sensing data for assessment impacts of some human activities on the major sensitive habitats of the NW Egyptian Red Sea coastal zone, definitely between Ras Gemsha and Safaga. Through multidate change analysis of Landsat data (TM & ETM+ sensors), it was possible to depict some of the human infringements in the area and to provide, in some cases, exclusive evidences for the damaging effect of some developmental activities.     

Improvements in Air Quality Modelling by Using Surface Boundary Layer Parameters derived from Satellite Land Cover Data

Many atmospheric dispersion models include only simpletreatment of surface features to estimate the wind profilesand stability parameters. Detailed characterisation of theland cover, particularly in large and complex urbanconurbations, is especially important, as the surfacefeatures can vary significantly over the area. This paperdiscusses the use of satellite land cover data to derivespatially resolved surface boundary layer (SBL) parameters.These parameters have been used in an air quality model,PEARL (Prediction Air Quality in Urban and RegionalLocations) for estimating monthly and annual COconcentrations. Land cover data, derived from LANDSATThematic Mapper Imagery, has been used to estimate SBLparameters (surface roughness length, albeedo, Bowen ratioand anthropogenic heat flux) for a study area of 10000km² encompassing Greater London and the surroundingcounties. The SBL parameters have been assigned according tomajor land cover types for the whole area at a spatialresolution of 1 × 1 km. Predictions from two versions of the PEARL model (one with land cover data and one without)have been compared with each other and with measured data forannual and monthly CO concentrations from seven London airquality monitoring sites. This comparison shows thatdifferences between predicted and observed values can bereduced by up to a factor of three. The use of SBLparameters derived from land cover data also yields moredetailed predicted annual CO spatial patterns especially inand around suburban areas. The performance of both versionsof the model for monthly CO concentrations has been comparedwith a range of statistical measures. This comparisonconfirms that improved agreement is observed betweenmodelled and measured monthly CO concentrations when use ismade of spatially resolved SBL parameters.     

The Effects of Environmental Brand Attributes and Nature Imagery in Green Advertising

Following Hartmann and Apaolaza-Ibáñez’ [(2009). Green advertising revisited. Conditioning virtual nature experiences. International Journal of Advertising, 28(4), 715–739] approach, this experimental study compares the effects of three types of green print ads: a non-green ad, a functional green ad promoting environmental product attributes, and a combined nature ad featuring a pleasant nature image in addition to functional attributes. We extend prior research by simultaneously testing moderating and mediating mechanisms to explain brand attitudes and purchase intention. Using a quota sample of 456 consumers, findings suggest that the functional ad enhances perceptions of environmental brand benefits, which positively affect purchase intention partially mediated by brand attitudes. The combined nature ad, by contrast, activates an additional emotional process of virtually experiencing nature which positively influences brand attitudes and purchase intention beyond perceptions of environmental brand benefits. The effects of the combined nature ad are even stronger for highly involved consumers.