基于DP-Modeler的精细化三维模型构建

倾斜摄影测量自动生产实景三维模型的技术已逐渐发展成熟,且具有效率高、成本低、精度高、操作简单的特点。为使实景三维模型更加精细化、可利用化,本文首先分析了实景三维模型的自动构建方法与流程,主要包括预处理、空中三角测量及三维模型自动生成;然后对三维模型的精细化处理进行了研究,其中包括模型修饰和单体化模型构建,前者主要包括悬浮物删除、道路平整、水面补洞及立面纹理修改等过程,后者主要利用DP-Modeler专业软件进行单体化模型的重构;最后讨论了精细化三维模型在规划、文物保护、不动产登记等方面的具体应用。     

Diatom assemblages from Adirondack lakes (New York,USA) and the development of inference models for retrospective environmental assessment

Detrended canonical coreespondence analysis (DCCA) was used to examine the relationships between diatom species distributions and environmental variables from 62 drainage lakes in the Adirondack region, New York (USA). The contribution of lakewater pH, Al_m (monomeric Al), NH₄, maximum depth, Mg, and DOC (dissolved organic carbon) were statistically significant in explaining the patterns of variation in the diatom species composition. Twenty-three and sixteen diatom taxa were identified as potential indicator species for pH and Al_m, respectively (i.e. a taxon with a strong statistical relationship to the environmental variable of interest, a well defined optimum, and a narrow tolerance to the variable of interest). Using weighted-averaging regression and calibration, predictive models were developed to infer lakewater pH (r ²=0.91), Al_m (r ²=0.83), DOC (dissolved organic carbon) (r ²=0.64), and ANC (acid neutralizing capacity; r ²=0.90). These variables are of key importance in understanding watershed acidification processes. These predictive models have been used in the PIRLA-II (Paleoecological Investigation of Recent Lake Acidification-II) project to answer policy-related questions concerning acidification, recovery, and fisheries loss.