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排序方式： 共有119条查询结果，搜索用时 609 毫秒
1.
香港海域叶绿素-a浓度的时空分布规律 总被引：10，自引：0，他引：10
选取香港海域7个水环境控制区在1988－1999年期间每月或每半月定位边疆聚样的37个水质测站，每个测站选用17个水质参数，研究香港海域海岸带水体叶绿素－a浓度及其相关因子的时空分布规律。对37个测站17个参数作聚类分析，结果表明，香港海域东部由半封闭海湾组成的水域控制区，其赤潮发生频率较高；西部水域属于河口环境。多变量分析结果表明，BOD5对叶绿素－a浓度普遍存在显著性影响，氮和光照条件在东部地叶绿素－a浓度的影响比西部海域更显著，而磷以及包括盐度，温度，溶解氧和pH在内的海洋物理化学条件在西部海域有更显著的影响。在整个香港海域，年内平均最高叶绿素－a浓度主要出现在冬末春初和夏末秋初，东部海域的年平均叶绿素－a浓度一般高于西部海域。香港海域的叶绿素－a浓度普遍存在一个8－10年的周期性变化规律。 相似文献
2.
不透水率是衡量城市生态环境状况的一个重要指标。当前全球范围内仅有1 km和30 m分辨率尺度的不透水面专题信息,无法满足城市尺度水文模型建模、海绵城市规划和建设需求。提出了图谱信息融合的不透水面提取模型,实现了基于深度学习的不透水面提取新方法,研制了不透水面遥感全流程提取和监测软件。基于多源高分辨率遥感影像首次完成了中国31个省（直辖市、自治区）的2 m不透水面专题信息提取,形成全国不透水面一张图,为海绵城市和生态城市的建设提供了基础数据支撑和技术监测手段。 相似文献
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数字地图合并的平差原理与方法 总被引：2，自引：0，他引：2
提出了一种基于最小二乘平差的数字地图合并方法，采用平差原理以求得实体调整合并后的空间位置。实验表明，与其他方法相比，该方法具有较高的精度，且较好地保持了原有实体的特征。 相似文献
5.
基于2DSTMON(2-Dimensional spatio-temporal indexfor moving objects in network)二维时空数据模型,提出了一种新的二维网络中移动对象的时空索引2DSTI及其时空查询算法。这种二维时空索引机制简单且易于实现,支持当前轨迹数据和历史轨迹数据的大量时空查询操作。在此基础上,通过实验实现并验证了二维时空索引机制及其时空查询算法。 相似文献
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Ambreen Ghalib Sahar Mirza Danish Raza Ainnee Rafi Farhan Ali 《Transactions in GIS》2023,27(5):1318-1337
The key objective of the study is to collect the factors which play an important role in the city's sustainability and implementation advantages for the development of cities in future. This article develops an urban sustainability assessment framework by giving GIS-based decision support tools to guide cities toward sustainability. Multicriteria analysis was used as the decision support system and provides an analytical framework for assessing differences in the level of criteria and ranking decision options. It has the capability for assessment of urban sustainability because it brings sustainability criteria from three pillars of sustainability, environmental, social, and economic, which provide an integrated approach for assessment of urban sustainability. The GIS-based multicriteria analysis serves as a sustainability support system that maps urban sustainability and the underlying environmental, social, and economic conditions. The results from the study show that the four cities - Faisalabad, Lahore, Gujranwala, and Multan - have better economic conditions while only Lahore and Faisalabad showed social progress and the remaining cities showed less suitability. For the environmental index, none of the cities attained high suitability. Lahore, Faisalabad, and Rawalpindi showed better conditions than Gujranwala and Multan. It is demonstrated that Punjab cities have made progress in economic condition and improvement in social condition but have poor environmental condition. In the study, the environmental dimension has indicators which have more impact on the urban sustainability. Environmental degradation is observed in all selected regions and not a single region showed suitability toward its environmental condition and due to this none of the cities gained suitable scores for urban sustainability. Consequently, urban sustainability is a multidimensional and dynamic process that needs regular evaluation and monitoring. Thus, this article contends that the tools help to highlight and emphasize those areas that need guidance in achieving urban sustainability. 相似文献
8.
Automatic urban object detection from airborne remote sensing data is essential to process and efficiently interpret the vast amount of airborne imagery and Laserscanning (ALS) data available today. This paper combines ALS data and airborne imagery to exploit both: the good geometric quality of ALS and the spectral image information to detect the four classes buildings, trees, vegetated ground and sealed ground. A new segmentation approach is introduced which also makes use of geometric and spectral data during classification entity definition. Geometric, textural, low level and mid level image features are assigned to laser points which are quantified into voxels. The segment information is transferred to the voxels and those clusters of voxels form the entity to be classified. Two classification strategies are pursued: a supervised method, using Random Trees and an unsupervised approach, embedded in a Markov Random Field framework and using graph-cuts for energy optimization. A further contribution of this paper concerns the image-based point densification for building roofs which aims to mitigate the accuracy problems related to large ALS point spacing.Results for the ISPRS benchmark test data show that to rely on color information to separate vegetation from non-vegetation areas does mostly lead to good results, but in particular in shadow areas a confusion between classes might occur. The unsupervised classification strategy is especially sensitive in this respect. As far as the point cloud densification is concerned, we observe similar sensitivity with respect to color which makes some planes to be missed out, or false detections still remain. For planes where the densification is successful we see the expected enhancement of the outline. 相似文献
9.
The development of robust and accurate methods for automatic registration of optical imagery and 3D LiDAR data continues to be a challenge for a variety of applications in photogrammetry, computer vision and remote sensing. This paper proposes a new approach for the registration of optical imagery with LiDAR data based on the theory of Mutual Information (MI), which exploits the statistical dependency between same- and multi-modal datasets to achieve accurate registration. The MI-based similarity measures quantify dependencies between aerial imagery, and both LiDAR intensity data and 3D point cloud data. The needs for specific physical feature correspondences, which are not always attainable in the registration of imagery with 3D point clouds, are avoided. Current methods for registering 2D imagery to 3D point clouds are first reviewed, after which the mutual MI approach is presented. Particular attention is given to adoption of the Normalised Combined Mutual Information (NCMI) approach as a means to produce a similarity measure that exploits the inherently registered LiDAR intensity and point cloud data so as to improve the robustness of registration between optical imagery and LiDAR data. The effectiveness of local versus global similarity measures is also investigated, as are the transformation models involved in the registration process. An experimental program conducted to evaluate MI-based methods for registering aerial imagery to LiDAR data is reported and the results obtained in two areas with differing terrain and land cover, and with aerial imagery of different resolution and LiDAR data with different point density are discussed. These results demonstrate the potential of the MI and especially the CMI methods for registration of imagery and 3D point clouds, and they highlight the feasibility and robustness of the presented MI-based approach to automated registration of multi-sensor, multi-temporal and multi-resolution remote sensing data for a wide range of applications. 相似文献
10.
应用MJO制作长江流域月降水预测的试验研究 总被引：1，自引：0，他引：1
用MJO指数RMM1、RMM2、振幅 1—25日平均代替月平均,用上月月平均RMM1和RMM2、振幅构造为右场,下月长江流域降水场为左场,SVD分析两场的关联,借助最优化技术,在降水场预测距平与实况距平同号总站数最大意义下确定系数,建立估计公式,由右场时间系数估计左场时间系数,最后反演降水场。尽管多数的月第一模态相关并不显著,但实际预测效果较好。 相似文献