(2020). Editorial. Journal of Spatial Science: Vol. 65, No. 2, pp. 189-189.

(2020). Nexus of BIM and GIS: integrating building and geospatial data. Journal of Spatial Science: Vol. 65, No. 2, pp. 191-192.

(2020). Author awards. Journal of Spatial Science: Vol. 65, No. 2, pp. 361-361.

(2020). JOURNAL OF SPATIAL SCIENCE REVIEWERS – 2019. Journal of Spatial Science: Vol. 65, No. 2, pp. 363-374.

Regularization is often necessary in parameter estimation of spherical radial basis function (SRBF) based regional gravity modelling. In this work, a new regularization method, namely the L1-norm regularization, also called the least absolute shrinkage selection operator (Lasso), is employed. This is different from the commonly used L2-norm regularization, also called the Tikhonov regularization. The

Airborne vector gravimetric data have become increasingly available. A general band-limited horizontal boundary value problem using horizontal components of these vector gravimetric data is formulated and solved to compute regional geoid. The disturbing potential on the geoid is determined directly using the data in the air. This one-step approach is permitted by exploiting the following: 1) band-limited

ABSTRACT In this study, Spatial Multi-Criteria Evaluation and the least cost path analysis were applied to find the optimal by-pass road alignment in the Tlokweng Planning Area in Botswana. One-At-a-Time sensitivity analysis and the statistical test for zero proportion were used to investigate the robustness of the entire model. Four alternative by-pass roads were produced stressing economic, environmental

Atmospheric sensing by Global Navigation Satellite System (GNSS) signals has been exclusively studied for over two decades. This study derives the real-time Precipitable Water Vapour (PWV) by taking 1 month GNSS observation data from 11 stations. A Country-wide Pressure and Temperature (CPT) model is applied to precisely determine PWV from Zenith Tropospheric Delay (ZTD). It shows that the computed

ABSTRACT The international GNSS service (IGS) started publishing the precise ephemeris files in the form of the standard products #3, version C (the sp3c files) in which the GPS satellite orbits and clocks and their uncertainties were available since 2004. Incorporating these uncertainties into the GPS observation equations results in a better stochastic model of the processing system. The reality

Positioning integrity is essential in navigation. A novel approach is proposed for integrity monitoring that combines the Advanced Receiver Autonomous Integrity Monitoring (ARAIM) with Non-Line-of-Sight (NLOS) detection method using 3D city models to aid multi-constellation GNSS positioning in challenging urban scenarios. A demonstration of the proposed approach is performed with real data in an urban

Accurate spatial modelling of forest characteristics is one of the most important challenges in remote sensing applications. In this study, we compared the ability of Multiple Linear Regression (MLR), Geographically weighted regression (GWR), and Random Forest (RF) to estimate different forest attributes based on field sample data and Landsat 8 image. CA was modelled with the highest accuracy compared

In the article is presented a method for creating an interactive web map of the preindustrial state on the basis of analogue nineteenth-century maps of Upper Silesia (southern Poland). The main objective was to present a universal operation scheme that would allow one to transform old topographic maps into interactive web maps. The Leaflet library was use as a working environment for programming. The

This paper introduces Singapore Views as a novel 3D-4D interface to visualize large space-time datasets with applications in smart cities. The engine enables a combination of geographic information system, geo-located data with high-resolution 3D models and multimedia. Space-time datasets from Singapore’s National Science Experiment (NSE) 2016 are used to test the functionality of Singapore Views.

Automatic building rooftop extraction is of great importance to many applications including building reconstruction, solar energy supply, and disaster management. This study proposes a building rooftop extraction method using DSM data generated from aerial stereo images and vegetation cover vector data. The method consists of five steps: noise filtering, dilation reconstruction, vegetation and terrain

Point feature selection aims at preserving global patterns of point cluster during map scaling. This is an important technique for clear presentation of points in multi-scale maps. However, existing methods tend to include single point features ignoring the spatial interactions between two types of points. For example, based on the Input Sharing mechanism in agglomeration economics, different types

Populating and depopulating cities have some degree of underutilised land. The duration of vacancy, or length of time a property remains unused, more strongly influences urban decline than the amount of vacant land. Assessment of the duration of vacancy is seldom conducted, due to a lack of linking longitudinal data. This research creates and applies a Python script to track the duration of vacancy

February 1, 2017, EOP 14C04 aligned to the ITRF2014 was adopted by IERS. To assess the improvement of EOP 14C04, the differences between EOP 14C04 and EOP 08C04 are firstly analyzed. Then, the causes of the differences between the two solutions are examined. Finally, the differences are further assessed for their prediction performance using the LS+AR model. The results demonstrate that (1) there is

(2020). Author Awards. Journal of Spatial Science: Vol. 65, Multi-GNSS processing, positioning and applications, pp. 187-187.

(2020). Multi-GNSS processing, positioning and applications. Journal of Spatial Science: Vol. 65, Multi-GNSS processing, positioning and applications, pp. 3-5.

(2020). Editorial. Journal of Spatial Science: Vol. 65, Multi-GNSS processing, positioning and applications, pp. 1-1.

(2020). Unmanned vehicle systems for geomatics: towards robotic mapping. Journal of Spatial Science: Vol. 65, Multi-GNSS processing, positioning and applications, pp. 185-186.

In this paper, a rank deficient adjustment model with inequality constrained is implemented to realise the conversion from the single-difference (SD) wide lane fractional cycle bias (WL-FCB) to undifferenced(UD) WL-FCB. The results are compared with the un-differential FCB published by Centre National d’Etudes Spatiales (CNES), and the temporal variation characteristics of SD WL-FCB and UD WL-FCB are

A modified algorithm combining equivalence theory with MPI technology to improve Global Navigation Satellite System data processing efficiency is presented. The reservation of covariance matrix, elimination of unknowns and parallelism of the equivalence algorithm are derived. Experimental results show that the algorithm can improve the efficiency of processing 100 IGS stations by 56% with negligible

We present the GLIMPSE system that provides a framework for storage, management, accessibility and integration of 3D LiDAR data acquired from multiple platforms. We detail a point cloud retrieval approach, which provides spatially optimised access to point cloud data from the system for a particular geographic area based on user specifications. We tested our point cloud retrieval approach to facilitate

Spatial system dynamics (SSD) models are typically implemented by linking stock variables to raster grids while the use of object representations of human artefacts such as buildings or ownership has been limited. This limitation is addressed by this article, which demonstrates the use of object representations in SSD. The objects are parcels of land that are attributed to grassland farms. The model

In the paper, we derive Procrustes-based closed-form solutions to the point-wise weighted rigid-body transformation under different adjustment scenarios. We treat both asymmetric and symmetric cases. By asymmetric (or Gauss–Markov) models we mean those in which either a source system or a target system is subject to random errors. On the other hand, by the symmetric model (Gauss-Helmert or errors-in-variables)

Estimation of surface water quality parameters (SWQPs) from satellite imagery is a cost-effective method. Remote sensing algorithms are developed to map the relationship between satellite reflectance and concentrations of SWQPs. This study exploited principal component analysis (PCA) to decorrelate multispectral bands prior to developing algorithms for SWQPs. Landsat-8 surface reflectances are first

Digital building modelling faces issues related to inconsistent integration/interoperability, in particular for a BIM GIS convergence. A consistent data conversion approach should consider semantic and spatial geometric modelling, therefore potentially leading to a loss of spatial geometric information. This paper simplifies semantic solving, and concentrates on the accuracy of the spatial geometric

This study evaluates the feasibility of achieving improved positioning accuracy with raw GNSS measurements from recently released smartphones. Using Precise Point Positioning (PPP) as the processing mode, positioning accuracy of selected newly available devices are analyzed. These devices include Xiaomi Mi8, Google Pixel 3, Huawei Mate 20 and Samsung Galaxy S9. The key research questions to be answered

This paper conceptualises a future Spatial Knowledge Infrastructure (SKI), aparadigm shift from supplier-driven data and spatial analytics, to where end usersquery data at will to obtain new insights. The SKI addresses problems from theusers’ viewpoint, seeking real-time answers for informed decision making, ratherthan from a data producer’s perspective. The driving motivation, to satisfy society’sgrowing

Space-Filling Curves (SFCs) map a multi-dimensional cellular space into one dimension. Although several algorithms have been introduced that can generate different SFCs, they barely consider deploying SFCs for non-cellular spaces. This article presents a new higher-order functional approach that enables a new level of abstraction which separates the SFC representation (i.e. a set of functions that

In this study, the first results of the next-generation dual-frequency multi-constellation SBAS-based kinematic positioning in Australian urban environments are presented and analysed. As the standalone GNSS positioning is unable to deliver the accuracy required for absolute positioning in Intelligent Transport Systems (ITS), more advanced technologies are needed, and the Australian SBAS with PPP capabilities

In this contribution, we present the triple frequency long baseline RTK algorithm and assess the contribution of QZSS to multi-GNSS RTK. The impacts of multi-GNSS broadcast orbit errors, ionosphere, and troposphere errors on the long baseline RTK are analyzed. To assess the contribution of QZSS, multi-GNSS data are collected in Japan. The analysis of the results demonstrates that with the introduction

The authors investigate the benefits for the precise point positioning (PPP) ambiguity resolution technique of using the GPS L1, L2 and L5; Galileo E1, E5a, E5b and E6; and BeiDou B1, B2 and B3 measurements. Data from 17 reference stations over a period of 31 consecutive days in 2018 were used. It was found that the four-frequency Galileo combination of E1+E5a+E5b+E6 provides the lowest geometric and

In this study, an approach based on precise point positioning (PPP) is proposed for the assessment of global ionospheric maps (GIMs). This assessment is performed by comparing GIMs with vertical total electron content (VTEC) values retrieved using the PPP technique. The results indicate that the CODG, ESAG, WHUG, and CASG ionospheric products underestimate the VTEC values. There is a high level of

Coordinate transformation is indispensable to unify the three-dimensional (3D) points between different coordinate systems. Traditional methods are generally two-step work: transformation parameter estimation and coordinate transformation. Unlike traditional methods, this paper proposes a direct 3D coordinate transformation method based on the affine invariance of barycentric coordinates. The proposed

Municipalities are typically responsible for maintaining address data. Building and maintaining regional or national datasets from local sources requires careful coordination among stakeholders. The Centraal ReferentieadressenBestand (CRAB) is a digital authoritative address dataset, also referred to as a register, for the Flemish Region in Belgium. We present an analysis of the influence of CRAB stakeholders

Through an unmanned vehicle payload calibration campaign experiments, both reflectance-based and irradiance-based methods are used to calibrate multispectral sensor. The results show that both methods achieved good linear relationships between the digital numbers and apparent radiances (R2 > 0.99). Validation results demonstrated the relative error between the radiometric calibration and radiative

ABSTRACT Reproducibility is widely regarded as crucial for scientific studies, yet there is still a lack of reproducibility in geospatial research. New sources of crowdsourced geoinformation provide new opportunities, but also complicate the reproducibility situation. Consequently, there is untapped potential in the domain of disaster response to reuse scientific methodology. Shared, executable scientific

Nowadays, new alternatives have begun to offer the possibility of positioning as a combination of NRTK&PPP techniques. As one of them, Trimble CenterPoint RTX Correction Service provides cm-level accurate GNSS positioning based on the generation and delivery of corrections on the global scale through the satellite or Internet. In this study, usability of RTX correction service in kinematic applications

The global BeiDou navigation satellite system (BDS-3) has been in operation recently and many related applications have been already compatible with BDS-3 satellites. Most applications still use the empirical stochastic models for combined regional BeiDou navigation satellite system (BDS-2) and BDS-3 positioning. However, BDS-3 has different satellite design, and the empirical stochastic models may

The UWB-based positioning system can not provide high accuracy positioning result in NLOS conditions. The standard EKF or robust EKF algorithm is usually adopted to fusion IMU and UWB information, but it also has no enough accuracy in strong NLOS environment. A method based on sigma point sampling is proposed in this paper, in which the priori information and UWB observation are used to adjust the

Between September 1944 and March 1945, more than a thousand V-2 rockets struck Great Britain, causing 2,754 deaths. M.I.5 responded with an ingenious scheme to mislead the Germans so they would shorten the range, missing Westminster and the docks. This is widely regarded as a success, with claims that the M.P.I. moved eastwards by two miles a week, saving 1,300 lives. Here, we use geographic profiling

ABSTRACT Airborne Laser Scanning (ALS) is used to acquire three-dimensional (3D) city model data over large areas. However, because of the long ALS update cycle, building information models (BIM) could be utilized to maintain city models. In this study, we designed, implemented, and evaluated a methodology to formalize the integration of BIM data into city models. CityGML models were created from BIM

ABSTRACT The integration of geoinformation with BIM (GeoBIM) is critical to underpin solutions to many city-related challenges. However, to achieve an effective integration it is necessary to consider not only data and technical options but also current practice and users’ needs. This paper describes work carried out within the EuroSDR-GeoBIM project to address this challenge. After investigating potential

This study compares land use regression (LUR) and geographically weighted regression (GWR) models in PM2.5 concentration mapping over California (USA). Results show that R2 values of LUR model are 0.78, 0.74 and 0.74 times lower than those of GWR model at annual, seasonal and monthly scales. Relative errors are 2.18, 1.79 and 1.60 times higher, and root mean square error (RMSE) are 1.48, 1.32 and 1

Mapping and identification of mangrove tree species have always played a crucial role in mangrove ecosystem conservation efforts, and several attempts have been made using remote sensing techniques for the acquisition of images and machine learning techniques for image processing with various levels of success. Remote sensing, combined with machine learning techniques have demonstrated a high potential

This paper proposes a one-step forecasting method based on the LS+AR prediction model that calculates LS and AR model parameters simultaneously. The EOPs products released by the IERS were used as primary data to predict changes in LOD parameters over spans of 1–500 days for 1230 experiments. The experimental results showed that the proposed method has an obvious improvement in long-term LOD parameters

This research demonstrates an effective procedure for assessing the impact of ore-controlling factors of orogenic gold. In this paper, ore genesis factors such as heat source, migration pathways and depositional environment were investigated. The procedure subsequently applied the weight of evidence model to weigh and quantify the spatial relationship between the control factors and 30 known gold deposits

Multi-Resolution Segmentation (MRS) is known to be a general segmentation algorithm for very-high-resolution (VHR) remote sensing applications. The critical problems of MRS are the optimization of the parameters and the evaluation of segmentation quality. Based on the principle of maximizing the intra-object homogeneity and inter-object heterogeneity, we propose a novel Normalized Segmentation Quality

Stochastic models play a crucial role in high-precision global navigation satellite system (GNSS) positioning. They have enormous influence on parameter estimation and hypothesis testing, especially when multi-GNSS multi-frequency observables are used. In this contribution, by means of reasonably simplified variance-covariance component estimation (VCE) formulas, the precision, cross-correlation, as

A novel geological hazard assessment model was developed by integrating an analytic hierarchy process (AHP) and a projection pursuit model (PPM) in this study. Remote sensing (RS) and geographic information system (GIS) techniques were also coupled and the hazard risk of the Panxi area in western China was assessed to test the model feasibility. The results show the model coupled with the GIS technique

A SWH model under low sea state is established, the model is based on the information contained in the wave field to extract the deviation between the kurtosis of the Weibull distribution and the kurtosis of the radar image sequence under low sea state firstly. Then, a linear relationship is established to retrieve the SWH under low sea state from the combination of the deviation and the apparent characteristics

The low accessibility of information regarding the design and construction phases and the current state of the buildings is the main cause of inefficient actions on existing buildings. The lack of ‘as built’ documentation and the complex task of detecting their current status in terms of use and maintenance cause deep difficulties in planning appropriate interventions. This paper shows the findings

ABSTRACT Reanalysis data retrieved from the European Centre for Medium-range Weather Forecasts (ECMWF) are commonly used for hydrological studies. Their use requires bias correction, defined as the difference between reanalysis values and measurements. We propose three multivariate copula quantile mappings (MCQMs) to predict bias-corrected values at unvisited locations. We apply the methods to the

Based on an ASTER VNIR image, we studied the applicability of the MML-EM (Minimum Message Length Criterion-Expectation Maximization) algorithm for land-use classification in southern Austria. Firstly, the RVI (ratio vegetation index) and PC1 (first principal component) bands have been utilized to enhance the targeted information; secondly, the MML-EM algorithm and the terrain analysis-based imagery

Disaster management requires the coordinated provision of multiple service facilities. Road networks play an important role in facilitating access paths to such services from settlements, particularly during flood disasters. The importance of a road depends on its utility along with its geospatial characteristics. In this article, we propose road importance measures that consider spatial properties

Winter fallow farmland is increasing dramatically in some regions in China. Our goal was three-fold: (1) to develop a consistent procedure to identify winter fallow farmland from satellite images; (2) to examine the driving factors of winter fallow farmland; and (3) to identify additional determinants affecting the spatial distribution of winter fallow farmland. We applied geographically weighted regression

To cope with the construction and upgrading of GNSS, critical attention must be given to the maintainability, reusability, extensibility, portability, loose coupling capacity and flexibility of GNSS data processing software. Here, using C# and under the .NET Framework, six design principles and six design patterns are applied to a user-friendly GNSSer software, with its purpose being to bridge the

Reliable information of croplands has useful implications for agriculture. Based on random forest classifier, a cropland extraction method was developed. Multi-temporal image data of Landsat 8 were used for classifying crop and non-crop vegetation, since these data contain useful information. However, there is also large redundancy. To solve this problem, a new feature selection method was proposed