鄱阳湖表层水体总磷含量遥感反演及其时空特征分析

总磷是湖泊水质参数中的主要指标,从遥感数据中获得其时空上的分布信息对于理解、管理和保护湖泊生态系统是必要的。通过2009 年4 月至12 月对鄱阳湖湖区和五河入口的表层水体进行采样分析,利用直接遥感反演算法和间接遥感反演算法,结合MODIS遥感数据择优反演鄱阳湖表层水体的总磷含量,同时分析总磷含量的时空特征和变化规律。结果表明：①从实验数据分析可知,总磷TP与总悬浮物浓度相关性较好,间接反演算法能够得到较好的反演结果;②TP是鄱阳湖水质的主要污染指标之一,TP含量在丰水期、平水期、枯水期三个时期呈上升趋势;③鄱阳湖三个时期TP含量的空间变化明显,中心湖区TP含量相对整个湖区较低,主航区和五河入口TP含量为全湖最高区域,常年处于高含量状态。     

Quantitative assessment of post‐disaster housing recovery: a case study of Punta Gorda,Florida, after Hurricane Charley

Quantitative assessment of post‐disaster housing recovery is critical to enhancing understanding of the process and improving the decisions that shape it. Nevertheless, few comprehensive empirical evaluations of post‐disaster housing recovery have been conducted, and no standard measurement methods exist. This paper presents a quantitative assessment of housing recovery in Punta Gorda, Florida, United States, following Hurricane Charley of August 2004, including an overview of the phases of housing recovery, progression of recovery over time, alternative trajectories of recovery, differential recovery, incorporation of mitigation, and effect on property sales. The assessment is grounded in a conceptual framework that considers the recovery of both people and place, and that emphasises recovery as a process, not as an endpoint. Several data sources are integrated into the assessment—including building permits, remotely sensed imagery, and property appraiser data—and their strengths and limitations are discussed with a view to developing a standardised method for measuring and monitoring housing recovery.     

Flood disaster monitoring and evaluation in China

Abstract

China frequently experiences natural disasters, of which flooding is the most serious. How to monitor and control natural disasters, assess damage, and provide relief is the most urgent problem for the Chinese government and disaster experts. A national integrated system using remote sensing, geographic information systems, the Global Positioning System, and other technology for monitoring and evaluating flood disasters has been assembled and tried out for 3 years. The system has played an important role in flood mitigation during the trial and has become a key part of the flood management system at China's National Flood Control Headquarters. This paper presents an overview of the system and its use in China.     

Use of an Airborne Lidar System to Model Plant Species Composition and Diversity of Mediterranean Oak Forests

Abstract: Airborne lidar is a remote‐sensing tool of increasing importance in ecological and conservation research due to its ability to characterize three‐dimensional vegetation structure. If different aspects of plant species diversity and composition can be related to vegetation structure, landscape‐level assessments of plant communities may be possible. We examined this possibility for Mediterranean oak forests in southern Portugal, which are rich in biological diversity but also threatened. We compared data from a discrete, first‐and‐last return lidar data set collected for 31 plots of cork oak (Quercus suber) and Algerian oak (Quercus canariensis) forest with field data to test whether lidar can be used to predict the vertical structure of vegetation, diversity of plant species, and community type. Lidar‐ and field‐measured structural data were significantly correlated (up to r= 0.85). Diversity of forest species was significantly associated with lidar‐measured vegetation height (R²= 0.50, p < 0.001). Clustering and ordination of the species data pointed to the presence of 2 main forest classes that could be discriminated with an accuracy of 89% on the basis of lidar data. Lidar can be applied widely for mapping of habitat and assessments of habitat condition (e.g., in support of the European Species and Habitats Directive [92/43/EEC]). However, particular attention needs to be paid to issues of survey design: density of lidar points and geospatial accuracy of ground‐truthing and its timing relative to acquisition of lidar data.     

潜叶虫潜道图像分析

为通过潜叶虫潜食叶片所留下的潜道分析其分类、行为和生态,应用Getdata图形数字化软件和R语言,提取线形潜道的数字化图像,并获得各种图像形状参数,如平均转角、转角集中度、分维D、直线度ST、蜿蜒度SN等.结果发现:大多数潜道的平均转角较小(不超过±25.0°),转角集中度较高(>0.600),说明潜食方向大多保持为前进方向;多数潜道的ST在0.010到0.300之间,数值极小,而SN一般都超过0.600,表明多数潜叶昆虫潜道的蜿蜒程度非常大;米楮上两种潜叶蛾的潜道形状参数如D和ST存在显著差异.     

基于EOS/MODIS数据的近10a青海湖遥感监测

选取青海湖周边地区气候资料及青海湖近10 a MODIS遥感资料,通过分析水体面积和水位、 年均气温和年降水量的变化揭示青海湖面积的变化趋势。对青海湖近10 a遥感监测以及青海湖周边地区气候要素的分析研究结果表明:在2001-2010年10 a来青海湖周边地区年平均气温显著增加,平均每年升温0.12℃,年降水量在波动中呈上升趋势。青海湖水位虽然在近50 a内持续下降,而在2001-2010年呈现逐年增加的趋势,且增加趋势非常明显。从MODIS遥感资料对青海湖10 a来4月和9月的湖水面积监测结果显示,4月和9月青海湖面积在2001-2010年呈现波动上升趋势,且与4月和9月的水位呈极显著相关关系,相关系数分别为0.818和0.875(P<0.05)。近年来由于气候变化导致的青海北部一些地区降水量增多或气候变湿,而暖湿型的气候导致的降水量增多最终可能是水位升高的主要原因,且这种气候变湿的趋势使10 a来青海湖面积增大趋势明显。     

磺胺类抗生素对不同革兰氏阴性菌的毒物兴奋效应研究

抗生素滥用所导致的环境问题日益受到人们的关注,抗生素在环境中常以低剂量的形式暴露,生物体在低浓度的抗生素作用下通常会表现出毒物兴奋效应(hormesis)。因此,研究抗生素的hormesis,对抗生素的生态风险评价极其重要。为了研究抗生素的hormesis,本文选取4种磺胺类抗生素为研究对象,观测了不同浓度培养基下磺胺对大肠杆菌能否产生hormesis。结果表明,磺胺对大肠杆菌在原倍和0.8倍浓度的培养基下不产生hormesis,在0.6和0.4倍浓度的培养基下产生hormesis;并且,结合我们之前对另一种革兰氏阴性菌——费氏弧菌hormesis的研究可知,对于具有不同群体感应系统的2种革兰氏阴性菌,都存在hormesis,磺胺可以通过作用群体感应系统使革兰氏阴性菌产生hormesis,只是hormesis的大小不同。上述研究结果为抗生素的生态风险评价提供了依据,为hormesis的相关研究提供了参考。     

影像纹理窗口大小对山地阔叶林不同群落有效叶面积指数估测的影响

森林叶面积指数是陆地表面过程和地球系统气候模型的基本参数,更是森林结构的关键参数之一,已广泛应用于辐射、植物光合作用和降雨截流估测等方面。论文以川西南山地阔叶林5种不同群落类型为研究对象,基于地面调查的112个20 m×20 m样地和SPOT 5数据,运用5种图像处理技术,包括光谱反射率、植被指数、影像单波段纹理、简单波段比纹理和主成分纹理,提取相应影像信息,建立多元回归模型估算有效叶面积指数（LAIe）。结果表明：光谱反射率、单波段纹理参数和植被指数对LAIe估测能力相对较低,利用植被指数仅获得实测LAIe约65%的精度（R²=0.65,RMSE=0.28 m²/m²）;更为有效的是运用所有比值处理的纹理特征参数值来估测LAIe,可获得实测LAIe约74%的变异（R² =0.74,RMSE=0.20 m²/m²）;改进最理想的是利用主成分处理建立的回归模型（R²=0.85,RMSE=0.10 m²/m²）。不同群落的LAIe估测,整体上相应地优于研究区结果,其中栲群落决定系数R²更是高达0.89（RMSE=0.07 m²/m²）。对于研究区阔叶林以窗口7×7、9×9比较成功,而各群落以窗口9×9较好。因此比值处理、主成分处理的纹理特征参数引入及高空间分辨率数据的使用,能显著提高LAIe估测精度。     

黄渤海气溶胶光学厚度的多源卫星遥感产品精度分析和时空分布特征研究

以黄渤海上空大气为目标研究区,基于AERONET观测网,获取该区域2015—2017年的气溶胶光学厚度（AOD）实测数据,并对可见红外成像辐射计VⅡRS,中分辨率成像光谱仪MODIS,静止水色卫星成像仪GOCI与新一代地球同步气象卫星AHI H8的AOD遥感产品展开精度验证.同时,利用长时间的遥感影像探究并分析AOD在不同时空尺度下的分布特征与变化情况.结果表明：同其它AOD遥感产品相比,GOCI AOD展示出了高采样频率及高精度的特性.此外,在研究区域AOD的逐小时遥感影像中未发现明显的变化规律,而月平均图则显示出从黄渤海西部至中部再到东部AOD逐渐递减的趋势,且该趋势在研究区域不同的地方是具有差异的.不仅如此,本文还尝试分析影响AOD反演精度的潜在因子,发现其可能与地表反射率提取的准确度与预设气溶胶模型设置的合理性有关.     

短时间间隔的土地利用变化监测

传统的土地利用变化监测方法已无法完全满足当前经济的快速发展和城市急剧扩张的要求,利用光学遥感数据对地观测也受到天气和云层覆盖等诸多因素的限制。而Radarsat-1等雷达遥感数据可以在"全天候"的条件下对地表进行观测。论文以Radarsat-1图像获取的24 d时间周期为最短时间间隔,分析了24 d、48 d和72 d时间间隔下的土地利用变化监测,对短时间间隔内的土地利用变化监测的结果进行了总结。监测的结果需要在精度与时间间隔之间做出取舍。对于大部分的情况,24 d的时间间隔已可以得到60%以上精度的结果,部分月份的监测需要48 d的监测时间间隔。若需要更高的精度,则需要72 d甚至更长。