Analyzing fine-scale wetland composition using high resolution imagery and texture features

In order to monitor natural and anthropogenic disturbance effects to wetland ecosystems, it is necessary to employ both accurate and rapid mapping of wet graminoid/sedge communities. Thus, it is desirable to utilize automated classification algorithms so that the monitoring can be done regularly and in an efficient manner. This study developed a classification and accuracy assessment method for wetland mapping of at-risk plant communities in marl prairie and marsh areas of the Everglades National Park. Maximum likelihood (ML) and Support Vector Machine (SVM) classifiers were tested using 30.5 cm aerial imagery, the normalized difference vegetation index (NDVI), first and second order texture features and ancillary data. Additionally, appropriate window sizes for different texture features were estimated using semivariogram analysis. Findings show that the addition of NDVI and texture features increased classification accuracy from 66.2% using the ML classifier (spectral bands only) to 83.71% using the SVM classifier (spectral bands, NDVI and first order texture features).     

Temporal replication of the national land cover database using active machine learning

Regional and national level land cover datasets, such as the National Land Cover Database (NLCD) in the United States, have become an important resource in physical and social science research. Updates to the NLCD have been conducted every 5 years since 2001; however, the procedure for producing a new release is labor-intensive and time-consuming, taking 3 or 4 years to complete. Furthermore, in most countries very few, if any, such releases exist, and thus there is high demand for efficient production of land cover data at different points in time. In this paper, an active machine learning framework for temporal updating (or backcasting) of land cover data is proposed and tested for three study sites covered by the NLCD. The approach employs a maximum entropy classifier to extract information from one Landsat image using the NLCD, and then replicate the classification on a Landsat image for the same geographic extent from a different point in time to create land cover data of similar quality. Results show that this framework can effectively replicate the land cover database in the temporal domain with similar levels of overall and within class agreement when compared against high resolution reference land cover datasets. These results demonstrate that the land cover information encapsulated in the NLCD can effectively be extracted using solely Landsat imagery for replication purposes. The algorithm is fully automated and scalable for applications at landscape and regional scales for multiple points in time.     

四川大巴山国家地质公园地质遗迹景观数据库平台构建

本文以四川大巴山国家地质公园为例,研究并构建了一套面向地质遗迹资源管理和景观规划辅助为主要目标的数据库管理综合平台.参照《中国国家地质公园建设技术要求和工作指南》(2002),建立了适合研究区地质遗迹景观的分类体系、编码规则和数据库.设计开发了基于SOA的数据库管理平台架构,并通过网络门户集成各项服务.经投入运行表明,...     

Chemical and physical properties affecting strontium distribution coefficients of surficial-sediment samples at the Idaho National Engineering and Environmental Laboratory, Idaho

 The U.S. Geological Survey and Idaho State University, in cooperation with the U.S. Department of Energy, conducted a study to determine strontium distribution coefficients (K_ds) of surficial sediments at the Idaho National Engineering and Environmental Laboratory (INEEL). Batch experiments using synthesized aqueous solutions were used to determine K_ds, which describe the distribution of a solute between the solution and solid phase, of 20 surficial-sediment samples from the INEEL. The K_ds for the 20 surficial-sediment samples ranged from 36 to 275 ml/g. Many properties of both the synthesized aqueous solutions and sediments used in the experiments also were determined. Solution properties determined were initial and equilibrium concentrations of calcium, magnesium, and strontium, pH and specific conductance, and initial concentrations of potassium and sodium. Sediment properties determined were grain-size distribution, bulk mineralogy, whole-rock major-oxide and strontium and barium concentrations, and Brunauer-Emmett-Teller (BET) surface area. Solution and sediment properties were correlated with strontium K_ds of the 20 surficial sediments using Pearson correlation coefficients. Solution properties with the strongest correlations with strontium K_ds were equilibrium pH and equilibrium calcium concentration correlation coefficients, 0.6598 and –0.6518, respectively. Sediment properties with the strongest correlations with strontium K_ds were manganese oxide (MnO), BET surface area, and the >4.75-mm-grain-size fraction correlation coefficients, 0.7054, 0.7022, and –0.6660, respectively. Effects of solution properties on strontium K_ds were interpreted as being due to competition among similarly charged and sized cations in solution for strontium-sorption sites; effects of sediment properties on strontium K_ds were interpreted as being surface-area related. Multivariate analyses of these solution and sediment properties resulted in r² values of 0.8071 when all five properties were used and 0.8043 when three properties, equilibrium pH, MnO, and BET surface area, were used. Received: 30 November 1998 · Accepted: 16 February 1999     

辽东山地老秃顶子冰缘地貌植物群落类型及基本特征

基于48个样地的群落调查数据,运用TWINSPAN分类方法,对辽东山地老秃顶子冰缘地貌植物群落类型进行了划分,并对群落结构、种类组成和生活型谱进行了系统研究.结果表明:老秃顶子冰缘地貌植被可划分为16个森林群系、6个灌丛群系,归并为落叶阔叶林、针阔混交林、暗针叶林、矮曲林、灌丛、灌草丛6个植被型.其中,石海地貌主要发育灌丛和灌草丛,也有针阔混交林和矮曲林分布;石河地貌主要发育针阔混交林和落叶阔叶林,也有暗针叶林分布;石流坡地貌主要发育针阔混交林、落叶阔叶林和灌丛,也有矮曲林分布.老秃顶子冰缘地貌植被由68科138属193种维管束植物组成;石海与石河间植物群落物种组成属中等不相似,而石河与石流坡间属中等相似.老秃顶子冰缘地貌植物群落中高位芽植物占38.0%,隐芽植物占36.3%,地面芽植物占21.8%,地上芽植物和一年生植物均很少,反映出辽东山地冰缘地貌区具有夏季温暖多雨、冬季寒冷漫长的气候特点.相对而言,石海、石流坡地貌中隐芽植物较多,石河地貌中高位芽植物较多,表明石海、石流坡地貌具有更为冷湿的小气候环境.     

扎龙保护区丹顶鹤栖息地适宜性评价

结合TM影像和ENVISAT ASAR(HH/HV)数据,以扎龙保护区丹顶鹤栖息地为研究对象,在分布式定量提取评价因子(植被类型、生境结构、巢下水深、植被盖度、人为干扰)的基础上,建立HSI模型对丹顶鹤栖息地质量进行评价,并根据实测巢址空间分布情况对评价结果进行验证。结果表明:基于主观专家知识建立的HSI模型得到丹顶鹤高适宜栖息地面积为48km2,适宜栖息地面积为265km2,低适宜栖息地面积为385km2,不适宜栖息地面积为1 403km2,结合实测数据验证,得出高适宜、适宜和低适宜栖息地巢址共占实测巢址的92.86%,不适宜栖息地巢址占7.14%。经检验HSI模型对淡水沼泽湿地典型水禽栖息地的质量评价有良好的适用性。     

河流型国家湿地公园功能区规划方法探析

国家湿地公园总体规划的核心工作是功能区划分,功能区划分直接影响到相关的保护和恢复工程规划,也为湿地公园的建设布局指明了方向。功能区规划前实地调查工作的重点为理清水系脉络、确定核心资源、找出威胁因子,归纳了4种适合于河流型国家湿地公园功能区划的区划方式,为湿地公园功能区规划提供参考模式。     

生态系统服务社会价值与生态价值的权衡与协同关系——以普达措国家公园为例

以香格里拉普达措国家公园为研究区,借助SolVES模型和InVEST模型,分别度量其社会价值（美学价值、文化价值、游憩价值）和生态价值（生境质量、碳储量、水源供给）的空间特征,并运用双变量空间自相关分析对二者空间权衡与协同关系进行研究。研究表明：① 社会价值的高值区呈“多核心,多条状”的空间格局,社会价值指数高达8.6（该指数介于1~10）,且距水体的距离越近对社会价值的贡献越大（贡献度为45.9%）;② 生态价值良好及优的空间范围占园区面积的1/2（49.91%）,主要位于原始森林保存良好的碧塔海片区和尼汝东北部扎诺一带;③ 社会价值与生态价值之间存在显著的空间依赖性,其中社会价值低,生态价值高的区域是园区最主要的空间聚集特征。该研究可为生态系统服务的可持续管理决策提供科学依据,以及有助于完善基于生态系统服务的社会?生态系统分析理论框架。     

南京市主要城市湿地的公众评价

城市湿地是城市生态系统的重要组成部分,对改善城市环境发挥着多方面的重要作用。本研究调查了城市湿地使用者,即市民,对南京城市湿地的评价与期望,并在此基础上提出湿地建设的改进建议。结果表明市民对城市湿地总体满意度较高,但在水质状况、护岸类型和基础设施等方面仍需改进。本研究探索了将市民的意愿纳入城市湿地规划的方法,对于进一步提高城市湿地规划建设具有参考价值。     

印度夏季风与中国华北降水的遥相关分析及数值模拟

20世纪80年代中国学者揭示了印度夏季风与中国华北降水的正相关关系,以后国内外又有一些研究证实了这种正相关关系的存在.文中利用1951-2005年多种气象资料和数值模拟方法,详细讨论了印度夏季风和中国华北地区夏季降水的关系,并针对由印度西北部经青藏高原到中国华北地区形成的正、负、正的遥相关型,从动力因子和热力因子两方面探讨了其中的内在联系,所得结果不但确证了以往的结论,而且进一步揭示了印度夏季风对华北地区降水的影响机制.结果表明:(1)印度夏季风强(弱)时,华北地区容易出现降水偏多(少)的天气;华北地区降水偏多(少)时,印度夏季风偏强(弱)的机率却低一些,这说明印度夏季风的异常变化对华北地区夏季降水有更大的影响.(2)印度夏季风强度主要受印度季风槽的影响,在印度季风槽加深的同时,中高纬的低压槽也加深发展,而这时西太平洋高压脊西伸,来自低纬的西南风水汽输送和源于西太平洋的副热带高压南侧的东南风水汽输送共同作用,有利于华北地区的降水偏多;反之则不利于华北地区的降水.(3)区域气候模式模拟结果也很好地模拟出印度夏季风和华北夏季降水的遥相关关系,其相应的环流异常系统与诊断分析结果非常一致,这从另一方面证实了这种遥相关关系的存在和可靠性.