scholarly journals Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management

2020 ◽  
Vol 12 (23) ◽  
pp. 10150
Author(s):  
Yongyan Zhu ◽  
Seongwoo Jeon ◽  
Hyunchan Sung ◽  
Yoonji Kim ◽  
Chiyoung Park ◽  
...  
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Layer Structure ◽  
Vegetation Type ◽  
Control Point ◽  
Forest Policy ◽  
Three Dimensional ◽  
Geospatial Information ◽  
Kappa Value ◽  
National Forest Planning

Forest spatial information is regularly established and managed as basic data for national forest planning and forest policy establishment. Among them, the grade of vegetation conservation shall be investigated and evaluated according to the value of vegetation conservation. As the collection of field data over large or remote areas is difficult, unmanned aerial vehicles (UAVs) are increasingly being used for this purpose. Consequently, there is a need for research on UAV-monitoring and three-dimensional (3D) image generation techniques. In this study, a new method that can efficiently collect and analyze UAV spatial data to survey and assess forests was developed. Both UAV-based and LiDAR imaging methods were evaluated in conjunction with the ground control point measurement method for forest surveys. In addition, by fusing the field survey database of each target site and the UAV optical and LiDAR images, the Gongju, Samcheok, and Seogwipo regions were analyzed based on deep learning. The kappa value showed 0.59, 0.47, and 0.78 accuracy for each of the sites in terms of vegetation type (artificial or natural), and 0.68, 0.53, and 0.62 accuracy in terms of vegetation layer structure. The results of comparative analysis with ecological natural maps by establishing vegetation conservation levels show that about 83.9% of the areas are consistent. The findings verified the applicability of this UAV-based approach for the construction of geospatial information on forests. The proposed method can be useful for improving the efficiency of the Vegetation Conservation Classification system and for conducting high-resolution monitoring in forests worldwide.

scholarly journals Development of framework for aggregation and visualization of three-dimensional (3D) spatial data

2021 ◽  
Author(s):  
Mihal Miu ◽  
Xiaokun Zhang ◽  
M. Ali Akber Dewan ◽  
Junye Wang
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Spatial Information ◽  
Three Dimensional ◽  
Geospatial Data ◽  
Third Party ◽  
Data Sources ◽  
Multidimensional Data ◽  
Multiple Sources ◽  
Geospatial Information

Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utilizing the available geospatial information. These disparate data sources must be aggregated before further extraction and analysis may be performed. The objective of this paper is to develop a framework called PlaniSphere, which aggregates various geospatial datasets, synthesizes raw data, and allows for third party customizations of the software. PlaniSphere uses NASA World Wind to access remote data and map servers using Web Map Service (WMS) as the underlying protocol that supports service-oriented architecture (SOA). The results show that PlaniSphere can aggregate and parses files that reside in local storage and conforms to the following formats: GeoTIFF, ESRI shape files, and KML. Spatial data retrieved using WMS from the Internet can create geospatial data sets (map data) from multiple sources, regardless of who the data providers are. The plug-in function of this framework can be expanded for wider uses, such as aggregating and fusing geospatial data from different data sources, by providing customizations to serve future uses, which the capacity of the commercial ESRI ArcGIS software is limited to add libraries and tools due to its closed-source architectures and proprietary data structures. Analysis and increasing availability of geo-referenced data may provide an effective way to manage spatial information by using large-scale storage, multidimensional data management, and Online Analytical Processing (OLAP) capabilities in one system.

scholarly journals Development of framework for aggregation and visualization of three-dimensional (3D) spatial data

2021 ◽  
Author(s):  
Mihal Miu ◽  
Xiaokun Zhang ◽  
M. Ali Akber Dewan ◽  
Junye Wang
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Spatial Information ◽  
Three Dimensional ◽  
Geospatial Data ◽  
Third Party ◽  
Data Sources ◽  
Multidimensional Data ◽  
Multiple Sources ◽  
Geospatial Information

Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utilizing the available geospatial information. These disparate data sources must be aggregated before further extraction and analysis may be performed. The objective of this paper is to develop a framework called PlaniSphere, which aggregates various geospatial datasets, synthesizes raw data, and allows for third party customizations of the software. PlaniSphere uses NASA World Wind to access remote data and map servers using Web Map Service (WMS) as the underlying protocol that supports service-oriented architecture (SOA). The results show that PlaniSphere can aggregate and parses files that reside in local storage and conforms to the following formats: GeoTIFF, ESRI shape files, and KML. Spatial data retrieved using WMS from the Internet can create geospatial data sets (map data) from multiple sources, regardless of who the data providers are. The plug-in function of this framework can be expanded for wider uses, such as aggregating and fusing geospatial data from different data sources, by providing customizations to serve future uses, which the capacity of the commercial ESRI ArcGIS software is limited to add libraries and tools due to its closed-source architectures and proprietary data structures. Analysis and increasing availability of geo-referenced data may provide an effective way to manage spatial information by using large-scale storage, multidimensional data management, and Online Analytical Processing (OLAP) capabilities in one system.

scholarly journals Towards an Underground Utilities 3D Data Model for Land Administration

2019 ◽  
Vol 11 (17) ◽  
pp. 1957 ◽  
Author(s):  
Jingya Yan ◽  
Siow Jaw ◽  
Kean Soon ◽  
Andreas Wieser ◽  
Gerhard Schrotter
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Urban Areas ◽  
Spatial Information ◽  
Three Dimensional ◽  
Data Governance ◽  
Land Administration ◽  
3D Data ◽  
Underground Utilities ◽  
2D Data

With the pressure of the increasing density of urban areas, some public infrastructures are moving to the underground to free up space above, such as utility lines, rail lines and roads. In the big data era, the three-dimensional (3D) data can be beneficial to understand the complex urban area. Comparing to spatial data and information of the above ground, we lack the precise and detailed information about underground infrastructures, such as the spatial information of underground infrastructure, the ownership of underground objects and the interdependence of infrastructures in the above and below ground. How can we map reliable 3D underground utility networks and use them in the land administration? First, to explain the importance of this work and find a possible solution, this paper observes the current issues of the existing underground utility database in Singapore. A framework for utility data governance is proposed to manage the work process from the underground utility data capture to data usage. This is the backbone to support the coordination of different roles in the utility data governance and usage. Then, an initial design of the 3D underground utility data model is introduced to describe the 3D geometric and spatial information about underground utility data and connect it to the cadastral parcel for land administration. In the case study, the newly collected data from mobile Ground Penetrating Radar is integrated with the existing utility data for 3D modelling. It is expected to explore the integration of new collected 3D data, the existing 2D data and cadastral information for land administration of underground utilities.

Research on Construction of Visual Platform of Beijing Power Grid Based on Multi-Technology Fusion

2014 ◽  
Vol 608-609 ◽  
pp. 928-932
Author(s):  
Dong Ya Jin
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Power Distribution ◽  
Spatial Information ◽  
Power Transmission ◽  
Power Grid ◽  
Three Dimensional ◽  
Visual Display ◽  
Decision Makers ◽  
Control Measures

The platform uses three-dimensional data modeling, visual simulation and spatial data storage to make the business of regulation center, operation and maintenance center and marketing and management center of Beijing Power grid implement visualized operation, and load the spatial information data, equipment data and operation data of Beijing power grid into the system platform, and the data is displayed with the form of graphic or image, which not only realizes managing space resource data in real three-dimensional scene, but also make the system operator to know the operation state of the system directly, and makes the control measures more effective. And the paper uses virtual reality technology to establish visual scene of ground to realize integrated visual display of power transformation, power transmission and power distribution, which not only makes the producers, managers and decision makers directly master the situation of production line in power station, but also realizes that producers and managers affiliate decision makers to formulate production plan.

scholarly journals INTEGRATION OF REMOTELY SENSED DATA INTO GEOSPATIAL REFERENCE INFORMATION DATABASES. UN-GGIM NATIONAL APPROACH

2016 ◽  
Vol XLI-B4 ◽  
pp. 721-725
Author(s):  
A. Arozarena ◽  
G. Villa ◽  
N. Valcárcel ◽  
B. Pérez
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Remotely Sensed ◽  
Geographic Information ◽  
Earth Observation ◽  
Institutional Arrangements ◽  
Observation System ◽  
Remotely Sensed Data ◽  
Geospatial Information ◽  
Reference Information

Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main data sources for the extraction of Geospatial Reference Information (GRI), constituting the “skeleton” of any Spatial Data Infrastructure (SDI). <br><br> Since very different situations can be found around the world in terms of geographic information production and management, the generation of global GRI datasets seems extremely challenging. Remotely sensed data, due to its wide availability nowadays, is able to provide fundamental sources for any production or management system present in different countries. After several automatic and semiautomatic processes including ancillary data, the extracted geospatial information is ready to become part of the GRI databases. <br><br> In order to optimize these data flows for the production of high quality geospatial information and to promote its use to address global challenges several initiatives at national, continental and global levels have been put in place, such as European INSPIRE initiative and Copernicus Programme, and global initiatives such as the Group on Earth Observation/Global Earth Observation System of Systems (GEO/GEOSS) and United Nations Global Geospatial Information Management (UN-GGIM). These workflows are established mainly by public organizations, with the adequate institutional arrangements at national, regional or global levels. Other initiatives, such as Volunteered Geographic Information (VGI), on the other hand may contribute to maintain the GRI databases updated. <br><br> Remotely sensed data hence becomes one of the main pillars underpinning the establishment of a global SDI, as those datasets will be used by public agencies or institutions as well as by volunteers to extract the required spatial information that in turn will feed the GRI databases. <br><br> This paper intends to provide an example of how institutional arrangements and cooperative production systems can be set up at any territorial level in order to exploit remotely sensed data in the most intensive manner, taking advantage of all its potential.

Generating 3D Depiction for a Future ECDIS Based on Digital Earth

2014 ◽  
Vol 67 (6) ◽  
pp. 1049-1068 ◽  
Author(s):  
Tao Liu ◽  
Depeng Zhao ◽  
Mingyang Pan
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
3D Visualization ◽  
Three Dimensional ◽  
Data Service ◽  
Construction Technology ◽  
Unified Framework ◽  
Human Errors ◽  
Web Based ◽  
Electronic Chart

An Electronic Navigational Chart (ENC) is a two-dimensional abstraction and generalisation of the real world and it limits users' ability to obtain more real and rich spatial information of the navigation environment. However, a three-dimensional (3D) chart could dramatically reduce the number of human errors and improve the accuracy and efficiency of manoeuvring. Thus it is important to be able to visualize charts in 3D. This article proposes a new model for future Electronic Chart Display and Information Systems (ECDIS) and describes our approach for the construction of web-based multi-resolution future ECDIS implemented in our system Automotive Intelligent Chart (AIC) 3D ECDIS, including multi-resolution riverbed construction technology, multi-layer technology for data fusion, Mercator transformation of the model, rendering and web publishing methods. AIC 3D ECDIS can support global spatial data and 3D visualization, which merges the 2D vector electronic navigational chart with the three-dimensional navigation environment in a unified framework and interface, and is also published on the web to provide application and data service through the network.

Implementation of Urban 3D Geographic Information System

2014 ◽  
Vol 926-930 ◽  
pp. 721-724
Author(s):  
Zhao Zhong Gao ◽  
Hai Xia Wei
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Urban Planning ◽  
Information Management ◽  
Spatial Data ◽  
Spatial Information ◽  
Three Dimensional ◽  
Geographic Information ◽  
Urban Construction ◽  
Depth Analysis

With the digital development of city construction, the construction of three-dimensional Geographic Information System plays an important role for the urban construction planning and decision-making. 3D urban planning geographic information management systems need to be able to put different spatial data, information of urban construction, urban planning information into the same platform. The integration of information resources whick provids a variety of spatial information based on the intelligent application services is the core. This article puts urban planning geographic information management related to business needs in-depth analysis, and put forward a three-dimensional geographic information model which is used for integrated management of data and can be dynamically adjusted for urban planning and management of business processes.

scholarly journals CALIBRATION AND VALIDATION OF THE ADVANCED LAND OBSERVING SATELLITE-3 “ALOS-3”

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 135-140
Author(s):  
T. Tadono ◽  
Y. Mizukami ◽  
H. Watarai ◽  
J. Takaku ◽  
F. Ohgushi ◽  
...  
Keyword(s):  
High Resolution ◽  
Control Point ◽  
Three Dimensional ◽  
Fiscal Year ◽  
Sensor Calibration ◽  
Geospatial Information ◽  
Calibration And Validation ◽  
Rational Polynomial ◽  
Standard Product ◽  
Three Dimensional Measurement

Abstract. The “Advanced Land Observing Satellite-3” (ALOS-3, nicknamed “DAICHI-3”) is the next high-resolution optical mission as a successor of the optical mission by the Advanced Land Observing Satellite (ALOS, “DAICHI”) in Japan Aerospace Exploration Agency (JAXA), and will be launched in Japanese Fiscal Year 2020. ALOS-3 is now under developing the flight model. The major missions of ALOS-3 are (1) to contribute safe and secure social including provision for natural disasters, and (2) to create and update geospatial information in land and coastal areas. To achieve the missions, the “WIde-Swath and High-resolution optical imager” (WISH, as a tentative name) is mounted on ALOS-3, which consists of the high-resolution panchromatic- and multispectral-bands.This paper introduces the overview of ALOS-3’s mission and the calibration and validation plan at JAXA. The standard product is the system corrected data using the sensor models, which will be provided from the sensor development team. Therefore, the sensor calibration is directly affected to the accuracies of the standard product. In addition, the sensor model based the Rational Polynomial Coefficient will be contained with level 1B2 standard product that can be used to process an ortho rectification and three-dimensional measurement from ALOS-3 images. As the target accuracy of WISH’s standard products, the geometric accuracies are less than 5 m in horizontal without ground control point (GCP), and 1.25 m in horizontal and 2.5 m in vertical with GCPs (1 sigma), and the radiometric accuracy is ± 10 % as absolutely and ± 5 % as relatively for multispectral band.

State topographic monitoring: geospatial-and-informational potential and ways of implementation

2020 ◽  
Vol 957 (3) ◽  
pp. 21-31
Author(s):  
E.A. Brovko ◽  
T.V. Vereschaka
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Topographic Map ◽  
Geospatial Information ◽  
Ongoing Research ◽  
Distributed Information ◽  
Advantages And Disadvantages ◽  
Documentary Sources ◽  
Automated Technology ◽  
The One

The authors highlight the results of ongoing research published in [1]. The ways of possible implementation of the state topographic monitoring (STM) as a geographically distributed information system and the basic component, of the Federal spatial data Fund on the one hand and a single electronic cartographic basis that needs constant updating on the other are proposed. The authors describe the documentary sources of state information resources, their advantages and disadvantages. Integration of Sciences and inter-scientific relations in the monitoring system are considered. The directions of priority developments and the results of research are shown. The concept of the electronic map of zoning the territory of Russia in the order of STM with an illustration of its content and functionality is presented. The automated technology of monitoring at its various stages and levels, defined as overview and detailed, is justified. The purpose of each level, their coordination and relationship are highlighted. A new spatial information resource in the form of a digital topographic map-on-duty is proposed. The technological scheme of detailed topographic monitoring is given. The matter of the need to improve the regulatory and technical regulation of STM is raised. In conclusion, the advantages of monitoring to meet the country’s needs for up-to-date geospatial information are emphasized.

scholarly journals Obstacle-Aware Indoor Pathfinding Using Point Clouds

2019 ◽  
Vol 8 (5) ◽  
pp. 233 ◽  
Author(s):  
Lucía Díaz-Vilariño ◽  
Pawel Boguslawski ◽  
Kourosh Khoshelham ◽  
Henrique Lorenzo
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Three Dimensional ◽  
Point Clouds ◽  
3D Models ◽  
Indoor Environments ◽  
Aged People ◽  
Emergency Assistance ◽  
Indoor Scenes ◽  
Mobility Skills

With the rise of urban population, updated spatial information of indoor environments is needed in a growing number of applications. Navigational assistance for disabled or aged people, guidance for robots, augmented reality for gaming, and tourism or training emergency assistance units are just a few examples of the emerging applications requiring real three-dimensional (3D) spatial data of indoor scenes. This work proposes the use of point clouds for obstacle-aware indoor pathfinding. Point clouds are firstly used for reconstructing semantically rich 3D models of building structural elements in order to extract initial navigational information. Potential obstacles to navigation are classified in the point cloud and directly used to correct the path according to the mobility skills of different users. The methodology is tested in several real case studies for wheelchair and ordinary users. Experiments show that, after several iterations, paths are readapted to avoid obstacles.

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