scholarly journals Landscape Simulation and Visualization on Google Earth

2011 ◽  
Vol 10 (2) ◽  
pp. 11-15
Author(s):  
Tsuyoshi Honjo ◽  
Kiyoshi Umeki ◽  
Darhsiung Wang ◽  
Pinan Yang ◽  
Hanching Hsieh

In this study, we made a landscape visualization system that enables virtual experience in a planned landscape including vegetation on Google Earth. The applicability of the system to the landscape design was quite powerful. The planning system generates KML (Keyhole Markup Language) and VRML. KML file is visualized on Google Earth and VRML file can be visualized on stand alone computer. Plants were automatically placed on a terrain based on the data of GIS or Excel by using the system developed in this study. With the system, we made models of Koishikawa Korakuen Garden based on measured data. Performance of walk-through simulations was quite good. We proved that landscape visualization and simulation with Google Earth was possible and that the system can be used as a practical and low cost landscape simulation tool.

Author(s):  
W. Ostrowski ◽  
K. Hanus

One of the popular uses of UAVs in photogrammetry is providing an archaeological documentation. A wide offer of low-cost (consumer) grade UAVs, as well as the popularity of user-friendly photogrammetric software allowing obtaining satisfying results, contribute to facilitating the process of preparing documentation for small archaeological sites. However, using solutions of this kind is much more problematic for larger areas. The limited possibilities of autonomous flight makes it significantly harder to obtain data for areas too large to be covered during a single mission. Moreover, sometimes the platforms used are not equipped with telemetry systems, which makes navigating and guaranteeing a similar quality of data during separate flights difficult. The simplest solution is using a better UAV, however the cost of devices of such type often exceeds the financial capabilities of archaeological expeditions. <br><br> The aim of this article is to present methodology allowing obtaining data for medium scale areas using only a basic UAV. The proposed methodology assumes using a simple multirotor, not equipped with any flight planning system or telemetry. Navigating of the platform is based solely on live-view images sent from the camera attached to the UAV. The presented survey was carried out using a simple GoPro camera which, from the perspective of photogrammetric use, was not the optimal configuration due to the fish eye geometry of the camera. Another limitation is the actual operational range of UAVs which in the case of cheaper systems, rarely exceeds 1 kilometre and is in fact often much smaller. Therefore the surveyed area must be divided into sub-blocks which correspond to the range of the drone. It is inconvenient since the blocks must overlap, so that they will later be merged during their processing. This increases the length of required flights as well as the computing power necessary to process a greater number of images. <br><br> These issues make prospection highly inconvenient, but not impossible. Our paper presents our experiences through two case studies: surveys conducted in Nepal under the aegis of UNESCO, and works carried out as a part of a Polish archaeological expedition in Cyprus, which both prove that the proposed methodology allows obtaining satisfying results. The article is an important voice in the ongoing debate between commercial and academic archaeologists who discuss the balance between the required standards of conducting archaeological works and economic capabilities of archaeological missions.


2018 ◽  
Vol 171 ◽  
pp. 116-130 ◽  
Author(s):  
Zhengen Ren ◽  
Dong Chen ◽  
Melissa James

Author(s):  
Ronald R. B. Ngom Vougat ◽  
Steven Chouto ◽  
Sylvain Aoudou Doua ◽  
Rebecca Garabed ◽  
André Zoli Pagnah ◽  
...  

Abstract Background Getting a random household sample during a survey can be expensive and very difficult especially in urban area and non-specialist. This study aimed to test an alternative method using freely available aerial imagery. Methods A gridded map and random selection method was used to select households for interviews. A hundred numbered of points were put along the edges of an updated map of Maroua. Then two numbers were randomly draw at a time and a line was drawn between those two numbers. A lot of different kinds of shapes of different sizes obtained were numbered. Ten shapes were randomly draw and the one selected were considered as ‘neighbourhoods’. A grid of 30 m × 30 m was drawn over each and then numbered. 202 grids considered here as households were randomly selected from the ten neighbourhoods for interviews. Results Out of 202 households visited, only 4 were found to be something other than a house. In addition, 30 sampled households (14.85%) were abandoned or the occupants had relocated elsewhere. This method resulted in an accuracy level of 72%, its advantage is the ability to generate efficient random sample at relatively low cost as well the time required. Conclusions The method proposed in this study was efficient and cost-effective when compared to the infield generation of a household inventory or Global Positioning System (GPS) tracking of households. It can then be used by researchers in low-incomes countries where funding for research is a challenge. However, this method needs to train the investigators on how to use the GPS.


2019 ◽  
Vol 11 (17) ◽  
pp. 4536 ◽  
Author(s):  
Lei Luo ◽  
Xinyuan Wang ◽  
Jie Liu ◽  
Wenwu Zheng ◽  
Jing Zhen ◽  
...  

This paper provides a brief history review of the use of ancient weirs in fishing on our planet, as well as a pilot study that involves investigating and mapping the coastal heritage of ancient stone tidal weirs (STWs) in the Penghu Archipelago which is located in the Taiwan Strait. The spatial distribution and morphological features of STWs across Penghu Archipelago were investigated and analyzed using very high-resolution (VHR) and freely available Google Earth (GE) imagery and geographic information system (GIS) analysis tools. A total of 539 ground-truthed STWs were identified from multiple temporal GE images, and these accounted for over 90% of the localized inventory databases. The proposed GE-based method was found to be more efficient, timely and effective compared to field and airborne surveys. This paper illustrates the utility of GE as a source of freely available VHR remote sensing imagery for archaeological surveys and heritage sustainability in coastal areas.


2019 ◽  
Vol 9 (19) ◽  
pp. 4091
Author(s):  
Dong ◽  
Chen ◽  
Wang ◽  
Shi ◽  
Jiang ◽  
...  

Optical scatterometry is known as a powerful tool for nanostructure reconstruction due to its advantages of being non-contact, non-destructive, low cost, and easy to integrate. As a typical model-based method, it usually makes use of abundant measured data for structural profile reconstruction, on the other hand, too much redundant information significantly degrades the efficiency in profile reconstruction. We propose a method based on dependence analysis to identify and then eliminate the measurement configurations with redundant information. Our experiments demonstrated the capability of the proposed method in an optimized selection of a subset of measurement wavelengths that contained sufficient information for profile reconstruction and strikingly improved the profile reconstruction efficiency without sacrificing accuracy, compared with the primitive approach, by making use of the whole spectrum.


2014 ◽  
Vol 48 (4) ◽  
pp. 79-85 ◽  
Author(s):  
Xianlong Hou ◽  
Ben R. Hodges

AbstractAn automated method for visualizing oil spill forecasts using Google Maps and Google Earth has been integrated into a Hydrodynamic and Oil Spill Python (HyosPy) modeling system. HyosPy downloads wind and tide observations and forecasts, runs a hydrodynamic model (the Semi-Implicit Eulerian Lagrangian Finite Element), links to an oil spill model (General NOAA Operational Modeling Environment), and visualizes the predicted spill trajectories. Using object-oriented approaches with Python code, HyosPy can run multiple instances of the hydrodynamic and oil spill models to provide a set of multiple predicted spill tracks controlled by different wind and tide forecasts. Automation of HyosPy allows the hydrodynamic model to be continuously running on a server so that hydrodynamic forecasts are immediately available in the event of a spill. Once the size, location, and time of the oil spill are provided to the system, no further human intervention is necessary. Google Maps/Earth visualization methods employ JavaScript tools and Keyhole Markup Language files to provide rapid display and animation in Web browsers of Java-capable devices. HyosPy is designed with a loosely coupled architecture to permit easy update and adaptation to different models and data sources.


2014 ◽  
Vol 552 ◽  
pp. 367-372
Author(s):  
Lin Wei ◽  
Zhi Xu ◽  
Yu Meng Ma ◽  
Ye Lu Liu

The development of general aviation is very rapid, but general aviation has not built the platform of flight data visualization all the time. A system of constructing the flight data visualization system based on FlightGear Simulation tool has been introduced in this paper. It contained using VC++ exploitation platform and MFC frame. Firstly the file of flight data was processed by XML configuration document. And then the Data were read by opening documents in FlightGear simulation to recreation and the same time the instrument would receive the data from FlightGear simulation with network in order to synchronously display flight data. The experiment proves that the system has good simulation effectiveness and real-time performance.


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