Large scale seasonal atmospheric correction will be investigated using ERA-Interim meteorological model and GPS data. A twisted plane is also fitted to remove orbital errors. To investigate the long wavelength tectonic signal due to interseismic strain accumulation, a time series analysis of the selected Images has been done on a pixel basisin order to enhance signal to noise ratio affected by remaining atmospheric signal.

To this end, spatial information
from IKONOS panchromatic image and spectral information from IKONOS multispectral
image was employed. Spatial resolutions of these images are 1m and 4m and the numbers
of bands are 1 and 4, respectively. The validity of the proposed method was substantiated
through comparison of IKONOS original image to the reconstructed image.

Only 1.5bn of the estimated 6bn land parcels worldwide have land rights formally registered in land administration systems. Many of the 1.1bn slum dwellers and further billions living under social tenure systems wake up every morning to the threat of eviction. These people are the poor and most vulnerable and are excluded any form of security of tenure; they are trapped in poverty. Increasing global population and the rush to urbanisation is only going to turn this gap into a chasm.

Mumbai, the commercial and financial capital of India has seen two major terrorist attacks in last two decades; once in 1993, when Mumbai rocked in a series of blast and second time in November 2008 when Mumbai faced a fidayeen attack where less than a dozen terrorists held the city at ransom for almost 60 hours.

This paper summarizes the pre-signals before the earthquake which may be important information for predicting the occurrence of earthquakes as well as the crustal movement after the earthquake. At last a case study of simulation of future catastrophic earthquakes and Tsunami which may happen in coming a few hundred years by using archeological excavation data of the past great earthquakes

The uplink station (INLUS), which interfaces with satellite to broadcast the correction signals, comprises of signal generation unit and RF unit with 11 m antenna. The 11m antenna and RF systems were indigenously developed and operationalized. Designing a combined feed system for INLUS was a major challenge, and required extensive experimentation and several iterations to arrive at the final design.

The Blue Book for Maritime Policy (European Commission, 2007), the Communication “Marine Knowledge 2020” (2010) and the Directive 2007/2/ EC of the European Parliament and the Council (INSPIRE Directive) are examples that recognize the importance of establishing an appropriate marine data and information infrastructure.

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).

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.

Precision viticulture (PV) is styled from the zonal management paradigm of precision agriculture, where large homogeneous fields are divided into smaller units based on yield or other field characteristics which may be differentially managed (Lamb et al., 2002, Bramley, 2009, Bramley and Robert, 2003) (Note that McBratney et al. (2005) suggest the definition of precision agriculture is continually evolving as we develop further technologies and greater awareness of agricultural processes). PV acknowledges the numerous spatial variations that affect grape quality and yield, including soil characteristics, pests and diseases and topography (Hall et al., 2003, Arnó et al., 2009), providing land managers with the tools to quantify and manage this variability (Proffitt, 2006). Land managers can thus ‘selectively’ treat areas, for example by the variable application of mulch, water, fertiliser, sprays etc.