《国际数字地球学报》(International Journal of Digital Earth)是国际数字地球学会依托中国科学院空天信息研究院主办的学术刊物。《学报》于2008年3月创刊,目前已被12个大型国际期刊检索机构收录。2019年影响因子达3.097,在全球50个地理类期刊中名列第17位,在30个遥感类期刊中排名第14位。在2019 Scopus CiteScore 引用分数榜中,《学报》在地球与行星科学类187个期刊中排名第11位。
《学报》以传播数字地球理念为宗旨,致力于数字地球学术交流,促进数字地球技术发展,推动数字地球在经济和社会可持续发展中的应用,并将在全球气候变化、自然灾害防治与响应、新能源探测、农业与食品安全和城市规划管理等方面发挥重要作用。该刊得到国内外科学界同行的广泛认可与高度肯定,成为同领域的主流学术期刊。
2020年第13卷第11期论文目次
Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis
Zhijie Zhang, Huan Xie, Xiaohua Tong, Hanwei Zhang, Yang Liu & Binbin Li
Pages: 1212-1229
Published online: 02 Dec 2019
摘要:
Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters. This paper presents a new and adaptive method for denoising based on empirical mode decomposition (EMD) and Hurst analysis (EMD-Hurst). The noisy full-waveforms are first decomposed into their intrinsic mode functions (IMFs), and the Hurst exponent of each IMF is established by the detrended fluctuation analysis. The IMF is regarded as the high-frequency noise and is deleted if its Hurst exponent is ≤0.5. Both simulated and real full-waveforms were conducted to validate and evaluate the method by comparing with six other IMF selection methods via metrics like waveform decomposition consistency ratio (CR), average error of decomposition parameters, and ICESat/GLAS waveform-parameter product GLAH05. The comparisons show that: (1) under different SNR conditions, EMD-Hurst performs robustly and obtains a higher CR than other EMD based methods; (2) obtains the highest average CR and a relatively lower average error for the echo parameters; and (3) peak numbers and fitting accuracy for GLAH01 are more reasonable and precise than those of GLAH05, which could offer a good reference for the processing on future space-borne full-waveform data.
全文链接:
https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1698665
Data-driven approach to learning salience models of indoor landmarks by using genetic programming
Xuke Hu, Lei Ding, Jianga Shang, Hongchao Fan, Tessio Novack, Alexey Noskov & Alexander Zipf
Pages: 1230-1257
Published online: 04 Jan 2020
摘要:
In landmark-based way-finding, determining the most salient landmark from several candidates at decision points is challenging. To overcome this problem, current approaches usually rely on a linear model to measure the salience of landmarks. However, linear models are not always able to establish an accurate quantitative relationship between the attributes of a landmark and its perceived salience. Furthermore, the numbers of evaluated scenes and of volunteers participating in the testing of these models are often limited. With the aim of overcoming these gaps, we propose learning a non-linear salience model by means of genetic programming. We compared our proposed approach with conventional algorithms by using photographs of two hundred test scenes collected from two shopping malls. Two hundred volunteers who were not in these environments were asked to answer questionnaires about the collected photographs. The results from this experiment showed that in 76% of the cases, the most salient landmark (according to the volunteers' perception) was correctly predicted by our proposed approach. This accuracy rate is considerably higher than the ones achieved by conventional linear models.
全文链接:
https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1701109#
An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters
Xuequan Zhang, Mingda Zhang, Liangcun Jiang & Peng Yue
Pages: 1258-1278
Published online: 12 Dec 2019
摘要:
Dynamic visualization of multidimensional hydrometeorological data is vital for decision-makers to catch situational awareness and command an emergency response in natural disasters. Nevertheless, few software tools can comprehensively visualize hydrometeorological data in different scales, dimensions, and time. In this paper, an interactive 4D spatio-temporal visualization system based on a virtual globe is proposed. Voxel-based data model and multi-level index are adopted to organize the field data in a unified data structure. Meanwhile, it is resampled in both spatial and temporal dimensions in memory to prepare smooth data stream for rendering. Ten field models, including large-scale volume rendering and adaptive streamline rendering, are accelerated and integrated to display the field data collaboratively. The profile analysis and eddy tracking improve user experience in interactively exploring specific scenes. The system is tested against both large-scale meteorological data in the atmosphere and small-scale hydrological data at the surface, using typhoon landfall and riverine flood, respectively. The results demonstrate the applicability and efficiency of the system to dynamically visualize hydrometeorological data.
全文链接:
https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1701110
UAV Laser scanning technology: a potential cost-effective tool for micro-topography detection over wooded areas for archaeological prospection
Wei Zhou, Fulong Chen, Huadong Guo, Mingyuan Hu, Qi Li, Panpan Tang, Wenwu Zheng, Jian’an Liu, Rupeng Luo, Kaikai Yan, Ru Li, Pilong Shi & Sheng Nie
Pages: 1279-1301
Published online: 08 Jan 2020
摘要:
Airborne laser scanning (ALS) has recently been identified as a potential tool in topographic mapping for archaeological prospection. However, most existing applications in this field refers to manned ALS systems, for which the high operation and maintenance costs limits its application in small-scale archaeological investigation. In this paper, we conducted an exploratory study on the application of the unmanned aerial vehicle (UAV) laser scanning (ULS) system in ancient micro-topography detection over wooded areas. Compared with manned ALS technology, we analyzed the advantages and potentials of ULS technology for archaeological applications. Then we outlined existing mainstream survey-grade UAV-based laser scanners, data processing and visualization approaches. Furthermore, we performed case studies in three cultural heritage sites in Zhejiang Province, China using two representative mainstream survey-grade ULS systems. Results were then verified by an in-site investigation. Finally, the correct selection of ULS devices, the planning of data acquisition missions and the use of appropriate data processing methods specifically for archaeological prospection were discussed. This paper provides a cost-effective and flexible solution for micro-topography detection in wooded areas. ULS technology, as demonstrated here, can be an important supplement to existing archaeological investigation methods, particularly for small-scale areas, and has promising prospects in archaeological applications.
全文链接:
https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1711209#
Guoyong Zhang, Jianhua Gong, Yi Li, Jun Sun, Bingli Xu, Dong Zhang, Jieping Zhou, Ling Guo, Shen Shen & Bingxiao Yin
Pages: 1302-1320
Published online: 06 Jan 2020
摘要:
Flood visualization is an effective and intuitive tool for representing flood information from abstract spatiotemporal data. With the growing demand for flood disaster visualizations and mitigation, augmented flood visualizations that support decision makers’ perspectives are needed, which can be enhanced by emerging augmented reality (AR) and 3D printing technologies. This paper proposes an innovative flood AR visualization method based on a 3D-printed terrain model and investigates essential techniques, such as the suitable size calculation of the terrain models, the adaptive processing of flood data, and hybridizing virtual flood and terrain models. A prototype experimental system (PES) based on the proposed method and a comparison experimental system (CES) based on a virtual terrain are developed to conduct comparative experiments, which combine the system performance and questionnaire method to evaluate the efficiency and usability of the proposed method. The statistical results indicate that the method is useful for assisting participants in understanding the flood hazard and providing a more intuitive and realistic visual experience compared with that of the traditional AR flood visualization method. The frame rate is stable at 60 frames per second (FPS), which means that the proposed method is more efficient than the traditional AR flood visualization method.
全文链接:
https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1711210#
Analysis of Landsat 8 detection of the interannual variability of grassland curing in Greater Melbourne, Australia
Sike Li
Pages: 1321-1228
Published online: 08 Jan 2020
摘要:
As one of the main components of Grassland Fire Danger Index, grassland curing degree provides crucial information for determining grassland fire danger. Accurate estimates of grassland curing are critical for determining grassland fire risk. This research focuses on the use of Landsat 8 to estimate grassland curing. Results demonstrate that Landsat 8 observations can be used to estimate curing percentages as assessed by visual and ground sampling measurements. Grassland interannual variability for the Greater Melbourne region using Landsat 8 imagery from 2013 to 2019 is examined. Slight differences in curing times and degree are observed for sample sites surrounding Greater Melbourne due to climatic differences across the region. Precipitation is regarded as an essential variable affecting curing degree and this relationship is evident for all five sample sites. Landsat 8 curing results are compared to both visual observations and destructive sampling, the most accurate method, for accuracy assessment. At 95% confidence level, Landsat 8 estimations are no different from destructive ground sampling estimations. Overall, this study validates the use of Landsat 8 data as an effective and accurate way for grassland curing monitoring.
全文链接:
https://www.tandfonline.com/doi/full/10.1080/17538947.2019.1710273#