About RollingStar


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Rollingstar Survey is the most professional spatial technology provider. We have professional experience toward civilian applications such as mapping, environmental information solution, remote sensing, data analysis and disaster assessment, various utility management services and also provide integration of geospatial intelligence and cloud technology.

RollingStar Survey Technology is promoting Open GIS specifications, creating innovative business application with spatial technology and providing advanced survey professional solutions and services. There are 4 domains we re-directed and focused on our business in the next stage. List as followings:

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Implementation of Advanced Surveying Technology


Survey & Data Acquisition Consult Service


We provide traditional land survey for base map, geodesy, control, level, pipeline, engineering survey service applications.

We support not only land survey but also various data acquisition consultant service, such as aero-photo or satellite image analysis with optical and radar sensors.


  • Case Study A: Disaster impact and flood analysis with SAR Technology

    SAR images with microwave band have all-weather characteristics in cloudy and rainy weather, which is still applicable to the observation of earth features. Such as typhoons or rainy season when the crops or vegetation flooded, the situation in the mountains of the evolution of the situation of mountain lake, forest sliding areas in mountain area etc.

    With multi-source satellite SAR and constellation SAR mission development, the revisit period is from about one month reduce to 2~3 days. Sometime, the observed number of times can be increased a dense up to twice a day of observation opportunities. Greatly improving the observable frequency of ground objects can be more responsive to a variety of practical applications.

    In the river hydraulic project case shows : During the river regulation period, it often need reduce the width of the river flow. That can be applied to embankment works carried out. When a lot of rain down into the river, the water level of will occur with the rise over the narrow river section. That followed by flooding across the banks.

    SAR image observation is necessary to manage the river flow width variation during river construction period. It will be more reliable combined with rainfall and river water level information. Especially in the rainy season, we need to increase the number of dense observations to fill the optical image in the occurrence of floods and post-disaster recovery scenarios.


  • Case Study B: Subsidence with InSAR Analysis

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    Figure 2. Distribution of land subsidence in Taiwan from 1972 to 2012 (adapted from the Water Resources Agency, Ministry of Economic Affairs, Taiwan).

    Land subsidence occurs in municipalities and counties throughout Taiwan, including Taipei and Yilan in the north, and Changhua, Yunlin, Chiayi, and Pingdong in Central and Southern Taiwan as shown in Figure 2. Maximal subsidence ranges from 1.2 m to 3.2 m, affecting an area of 2000 km2. The most severely affected areas are located in Yunlin County.

    Due to InSAR analysis is the most popular and cost effective strategy. We took UltraSAX / InDIS solution which covers feature below to proceed the data analysis and retrieved an excellent consequence.

    Implementation base on high performance cloud computing client - server architecture
    Support multithreading 32 / 64-bit windows OS
    Use the latest JAVA implementation technology and developed with a modular design
    The intuitive and easy-to-use interface
    Coarse and refined baseline Estimation base on orbit and data
    Tie point automatic registration
    Post processing for interferogram image
    Advanced phase filtering with statistic and spatial model
    Automatic removal of flat Earth phase trend
    SAR image / Layover / Shadow simulation base on DEM data
    Displacement generation with / without DEM
    new support on ALOS-2, Sentinel1 SLC products


    Figure 3. InSAR analysis with UltraSAX/ InDIS platform

    Case Study C: Disaster Monitoring using Optical and SAR Satellite Images

High Precision Of SINS/DGNSS Solution


Observations from AG-GMAD solution is based on abnormal gravity, which is widely applied in underground resource explorations, such as underground water monitoring, oil and mineral distributions.





AG-GMAD specifically designed with ring laser gyroscopes and servo accelerometers is a powerful Strapdown Inertial Navigation System (SINS) and flexible interface, which is widely applied in underground resource explorations, such as underground water monitoring, oil and mineral distributions. It is capable of covering applications, which require high accuracy, reliability and an open interface to the user.

Features of Services and Applications

Mobile Mapping Technology
On-demand and Multi-payload Solution
Programmable for Temporal Resolution
Meet Demand on Investigation of Underground Resource
Simple and Efficient

Portable Client

Provide observed data and quality report
Calculated output with geocoded result
Portable design in field condition

Portable Server

Management for big-data
Import various remote sensing data for analysis and display
Support infrastructure of EPSG spatial data
Store in spatial database
2D and 3D visualization
Available to integrate multi-source cloud service



  • Case Study A: Underwater Distribution Detection

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    Figure 4. RollingStar software for gravity surveying

    RollingStar has operated its AG-GMAD system for several years and continues to work to improve the accuracy and spatial resolution of the entire system. Recent advances in RollingStar’s gravity surveying services methods involving analysis of system dynamics and improved filtering have enhanced the quality of gravity data. These new processing procedures help to further reduce system noises and allow high precision gravity data to be used for underground resource detection.

    RollingStar offers gravity surveying services using AG-GMAD with high spatial resolution and specialized processing to detect and quantify underground resource distribution. It integrated with Differential Global Navigation satellite System (DGNSS) is an efficient survey during normal daytime conditions.

    Data Processing

    Immediate data processing is part of standard quality control procedure, which includes integration with SINS and DGNSS data, differential calculation, low-pass filtering, statistical evaluation of data, and gravity estimation. The software facilities at RollingStar are equipped for all aspects of compilation and data processing of multi-payload data. In addition, we also provide clients with rapid results for evaluation as well as interpretative reports of geodesy and geoscience.


    Display of Gravity Surveying

    RollingStar maintains a full suite of software for data processing and display. It is available for importing various remote sensing data (Figure 4). After data processing with gravity and DGNSS data, the optimal results of gravity surveying along the trajectory can be displayed in spatial domain based on the background map.
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    Figure 5 shows the result using land vehicle at HeHuan Mountain, Taiwan (2014 Jan.) with long-drive duration and high terrain change. According to the gravitational theory, it is reasonable that the gravity disturbance is larger when locating on higher position.


  • Case Study B: Investigation of Underground Resource

    Gravity changes are caused directly by mass variations, and hence, underground distribution could produce subtle anomalies in the Earth’s gravity field. Along these lines, gravity surveying has the potential for use in the detecting underground resource. According to the Taiwan Central Weather Bureau and Water Resources Agency, the annual precipitation in Taiwan is considered to be abundant. However, the supply of water is deficient because the steep topography makes water flows to the oceans quickly. An alternative water supply source is to pump groundwater during surface water shortages. Searching for potential groundwater areas is difficult.

    Therefore, based on civil engineering and hydrology studies by the Taiwan Central Geological Survey, RollingStar conducted gravity surveying using land vehicle at PingTung Plain, Taiwan (2014 Nov.). Figure 6 is the inversion result for detecting, and area illustrated in red line can be considered as the potential groundwater resource according to the previous geological prospecting.


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    Figure 6. Detection result for groundwater resource

Micro-Movement iMager System


MMI solution which is a ground based radar with InSAR technology for Micro-movement detection.


Interferometric synthetic aperture radar (InSAR) is a radar technique uses two or more synthetic aperture radar (SAR) images to produce images of surface deformation. This technique can achieve sub-millimeter changes in deformation over spans of days to years.
We offer MMI solution which is a ground based radar with InSAR technology, it has proved its potential for the measurement of the superficial ground displacements of different landslide types, in terms of failure mechanism, materials involved, kinematics, water content and deformation rates.
In particular conditions, such as fast-moving phenomena and inaccessible areas, the technique can be employed directly as a monitoring tool, providing multi-temporal displacement maps of the observed area.

Additionally, some applications with MMI have provided a fundamental support to decision makers during landslide emergencies, allowing the civil protection authorities to assess the risk and to manage an effective emergency response.

Rollingstar’s MMI solution is fully meet the trends and requirements for:
Ku-band (17 GHz, wavelength 17.5mm)
interferometric GB-SAR (GB-InSAR) imaging
Spatial resolution: 0.5 m(range) x 5.8 rad(azimuth)
Range change detection: 0.5 mm
Maximum sensing distance: 2000 m
vertical baseline option (0 / 10 / 20 cm)
All weather, 24/7 periodic monitoring
Quick and easy installation
Instant risk assessment and early warning

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Figure 7. RollingStar MMI system operation scenairo



Indoor Navigation Solution --iLB


Rollingstar iLB solution using sensors embedded in smartphone and aided methods to develop positioning technology is less dependent on specific installation and environmental infrastructures.


Indoor navigation technology has been developed based upon various principles and equipment (Table 1).

Some of solutions depend on specific devices to transmit or receiver corresponding signal and some can achieve high accuracy with more costs. Currently the technological trend has evolved quickly because of the growth of low-cost sensors and smartphone.

The smartphone comprises many kinds of Micro-Electro-Mechanical Systems (MEMS) sensors, such as accelerometers, gyroscopes, magnetometers, barometers as well as Global Navigation Satellite System (GNSS) chips, Wi-Fi, Bluetooth and camera.

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Rollingstar offers iLB solution for indoor navigation and applications. Rollingstar iLB solution using sensors embedded in smartphone and aided methods to develop positioning technology is less dependent on specific installation and environmental infrastructures.

Therefore, high potential of our solution is represented to use smartphone for location-based and navigational services. iLB is a software platform solution with limited and common hardware construction.

Due to unique background and know how, iLB is able to set up a totally seamless integration fields between indoor and outdoor environment. The iLB main features list as followings:

Geology Coordination System
High Position Accuracy for various applications
Low Cost for Hardware
Easy Implementation for Site Survey
Little Impact with The Change of The Environment
Operational System and High Tolerance Capability for Signal Fault

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Figure 10. Test for navigation and results display




The Management of Spatial Big Data Life Cycle



  • Data Life Cycle

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    Rollingstar SBD solution provide geo-data life cycle management. Geo-data life cycle management is the core of spatial applications. It is necessary when people would like to construct cloud services, IOT and big data analysis services. For spatial information services, there is impossible for a service without geo-data update mechanism. Particularly, remote sensing technology is widely used for geo-data updating, data growth fast and exponentially impact the service life cycle and operation. Geospatial data life cycle need to think about data ontology, interoperability, O2O service, transection, search, browse and so on. SBD provide a mature solution as well as already proven by our important client. SBD solution not only keep the spatial data production operational, decrease human mistake, increase management quality, but also delivery extremely service efficient through network service. Several critical feature for SDB are:
    Full operational point of view. Not only for research result display, but also for real business operation.
    Information technology with international standards, that means satisfy global intercourse and interoperability requirements.
    Support global SDI (Spatial Data Infrastructure) service so that meets the global market and spatial management needs.
    Data cloud service support end users’ multi-platforms and various development environments.
    Spatial Big Data without map tiling techniques.There is no time delay and operational interruption during data registry, query, service, update and downloading.
    Provide spatial data mosaics and embedded watermark service on-the-fly. No post-process required.
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    See more detail.

    • Case Study A: From Collections to Connections: The Development Path of Building an Express Platform for Modern Taiwan Aerial Survey Image



      Figure 11. Four-task system model for representing each resource subject in ATIS platform design.

      Aerial Survey Office (ASO) belongs to the Forestry Bureau of Council of Agriculture, Executive Yuan, Taiwan, responsible for building a complete spatial database by photogrammetry and remote sensing data to find out the distribution of the forest resources in Taiwan. In addition, ASO also provides aerial data for various demanders for decades such as planning flight lines, surveying control points, carrying out aerial photographing missions, etc.

      In 2010, ASO has digitalized previous works by scanning all the photos taken by traditional cameras. With over one million RAW image files, ASO needed a better scenario to manage and generate additional value from their growing volumes of image. Thus, the new ASO Taiwan Image Service and Supply System (ATIS) came into being in 2010. Meanwhile, developing the system structure with the best flexibility for responding to the requirements in time is with the most priority under dynamic and various tasks with limited budget.

      There were several urgent needs by ASO that have to be met with the accessing of numerous images and data, including collection mechanisms for images, rapid access to image database, image presentation and interfacing according to requests, data synchronization, and one customizable ordering application for image supply service.

      Therefore, we summarized those needs and established four major system tasks: query, explorer, image supply, and image collection. Each task has its own resource requirements. We brought in the knowledge and experience into the entire system development lifecycle. Figure 11 shows the four-task system model, in which each task has its main resources for supporting the activities.

      Finally, with existing IT environment in ASO, we built the four-task system model on an effective, manageable, centralized, and uniform workspace, providing a fast and flexible web-based backend. Hereafter, every user can immediately access the requested data when they need it.

      The Challenge:

      Quality of Data:


      Image collection is the base of ATIS. There are several design challenges and considerations involved in developing. First of all, the quality of data should be logically checked before passed to the E-workflow as input. However, most errors have occurred during the earliest stage of data recording of the massive historical data in ASO (e.g., manually digitalized coordinate information, aerial record sheets, and unclear vector maps). This bottleneck was successfully overcome through our user studies and experience in GIS development with automatic and semi-automatic data verification mechanism, such as feature based image matching, flight line analysis, and fiducial point detection.

      SOA capability:


      We delivered SOA with Bottom-Up approach. Figure 12 shows the capabilities on the ATIS platform. The abstraction provided by server virtualization eliminated the hardware dependencies, so we could focus on the development of API-led connectivity between services. Internally, we used web service to fetch data; to the external environment, various types of users were met by RESTful API and protocols of Open Geospatial Consortium (OGC) like WMS.

      In addition to the architectural flexibility brought by SOA, as shown in the figure 13, we built ATIS Client as a modular application to manage all the processes associated with image collection and supply, query, and browse. Also, MVC / Model 2 as a design patterns was applied in developing all web applications for ASO. We believe that this flexible development architecture will result in the best cost-effectiveness for the client as well as a balance between performance requirements.



      Figure 12. SOA capabilities on the ATIS platform.



      Figure 13. Modularity of ATIS Client – Setting the available function set for user privilege level switch.

      IMPACT

      Currently there are over 200 agencies applying the Web Map Service (WMS) on ATIS platform. The main users are across multiple government departments, including Department of Urban and Regional Development of National Development Council (國家發展委員會都市及住宅發展處), Soil and Water Conservation Bureau of Council of Agriculture (農業委員會⽔⼟保持局), Central Geological Survey of Ministry of Economic Affairs (經濟部中央地質調查所), National Land Surveying and Mapping Center of Ministry of The Interior (內政部國⼟測繪中⼼), Taiwan Joint Irrigation Association (農⽥⽔利會聯合會), Information Center of Ministry of The Interior (內政部資訊中⼼), Research Center of Humanities and Social Science of Academic Sinica (中央研究院⼈⽂社會科學研究中⼼), etc. Figure 14 shows that, as of December 2016, the HTTP responses to WMS image requests has accumulated more than 53 million times.



      Figure 14. Total accumulated HTTP responses to WMS image requests till December 2016.



DEDO Online


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Hogazai

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Hogazai Service shows natural spatial disaster potential information. We corporate with experts from TAPDI (Taiwan Association of Prevention Disaster Industry) and utilize government open data to make value-added for cloud service. It provides user to evaluate insurance requirements of personal properties, meanwhile, the information also deliver to insurance and re-insurance company for underwriting process.

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Todegong

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Todegong is a platform that provide one-stop portal service for land solution. It reveals all the land-use restrictions, asset analysis, industry intelligence, object and requests match and land risk analysis service.

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Strategy Partner

Contact

  • Email: service@rs-survey.com

  • Website: www.rs-servey.com



  • Our Office Location


    Keelung Office


    • Address: 9F., No.169, Nuanding Rd., Nuannuan Dist., Keelung City 20545, Taiwan (R.O.C.)

    • Phone: +886-2-2458-5699

    • Fax: +886-2-2459-4531



    Taipei Office


    • Address: 7F.-1, No.104, Minquan W. Rd., Datong Dist., Taipei City 10361, Taiwan (R.O.C.)

    • Phone: +886-2-2553-2509

    • Fax: +886-2-2550-6829





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