Volume XIII, Issue 05, May 2017
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Robust Signal Processing for GNSS

Daniele Borio

Smart Counting – Oil Palm tree inventory with UAV

Bahareh Kalantar, Mohammed Oludare Idrees, Shattri Mansor, Alfian Abdul Halins

MTCAS: An e-Navigation Assistance System for Cooperative Collision Avoidance at Sea

Christian Denker, Axel Hahn

Design and integration of a lightweight multirotor UAV for remote sensing applications

Chirag Gupta, Dibyajyoti Chutia, Victor Saikhom, Puyam S Singh, Avinash Chouhan, Nilesh Sharma, Anjan Debnath, BK Handique, Chandan Goswami, Abdul Qadir Khan, KK Sarma, PLN Raju, Jonali Goswami, Mhathung Kithan, Atho-O Kesiezie
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INDUSTRY| GNSS | GIS | IMAGING | UAV | GALILEO UPDATE | LBS
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Volume XIII, Issue 04, April 2017
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Modification of the reference frame of Uzbekistan topographic maps based on the GNSS

Mirmakhmudov Erkin

Low cost aerial mapping with consumer grade drones

S L Madawalagama, N Munasinghe, S D P J Dampegama, L Samarakoon

National space policy 2030: Driving the space sector in Malaysia

Sholehah Ismail, Dr Noordin Ahmad

With e-Services towards transparent and trustworthy cadastre

Libor Tomandl, Vladimira Zufanova PhD.

Water Quality Estimate in the Isahaya Bay with UAV

Haruhiro Hidaka, Susumu Ogawa, Shuntaro Otsubo, Seiji Suzuki


Feb 2012 | No Comment

For the purposes of this paper, the vehicle was tele-operated from the nearby BS with the operator manoeuvring with the aid of three onboard video cameras and a display of the LiDAR data in realtime. Autonomous operation using the LiDAR data and was demonstrated in Whitty et al. (2010)(For videos, see our YouTube channel: www. youtube.com/UNSWMechatronics).

Feb 2012 | No Comment

GPR is a geophysical investigation method. Its principle is similar to that of Seismics but instead of emitting elastic waves, it emits electromagnetic waves. They are much shorter, which leads to a much higher spatial resolution. GPR is sensitive to the electromagnetic properties of the material under investigation. Interfaces of rock formations, fi ssures and aquiferous areas are displayed.

Feb 2012 | No Comment

Obviously, before any datasets can be compared or combined, they must be brought together onto the same datum (Janssen, 2009). The practice of transforming from one datum to another is not diffi cult and the necessary parameters are available in many different software packages. However, with the increased number of datums comes an increased number of ways to transform between datums.

Feb 2012 | No Comment

The Global Spatial Data Infrastructure SDI Cookbook defines SDI as the “… collection of technologies, policies and institutional arrangements that facilitate the availability of and access to spatial data.” This definition (which predates the cookbook) is more than fifteen years old, and over the course of fifteen years much progress has been made toward the SDI vision of abundant, easily shared, easily used geospatial information.

Jan 2012 | Comments Off on Spatially Smart Wine

Jarrett’s wines, the subject location of this study, had undertaken much of the above however it soon became apparent that data was poorly managed, with a mix of hard- and soft-copy data. The importance of spatial data management is rarely reported in the PV literature, and the ad hoc nature of spatial data acquisition and surveyor involvement limits the opportunities for an effi cient spatial data management system to be implemented.