Two Radarsat-2 images acquired in fine quad-polarized mode were chosen for this study. The images were collected in leaf-on and leaf-off seasons. The experimental results demonstrated that the neighboring information provides valuable information for the classification of Polarimetric SAR data. The classification results showed that the proposed methodimproves classification accuracy significantly over the baseline methods.

Landslide occurrence is one of the natural disasters which causes great damages annually all over the world and that is the reason, prediction and monitoring of landslides is of great concern. Landslide susceptibility determination relies largely on information which is provided by the landslide inventory maps. Therefore, precise land displacement determination can be regarded as one of the preliminary steps towards a more reliable landslide prediction.

A comparison between the seismicity and active faulting density maps indiactes that a good spatial correlation can be observed between these two parameters. It probably means that active faults are the main seismogenic sources responsible for generating earthqukes in this region. The good consistency observed between the seismogenic zoning map presented in this research and the results of the previous works indicates that the spatial analysis techniques can reliably be used for seismic hazard regionalization and identifying seismogenic hazardous zones in seismically active regions.

Ali Javidaneh, Mohammad A. Rajabi, Shima Rahmatizadeh

Ali Javidaneh

Graduate students of GIS

Department of Surveying and Geomatics Engineering,

College of Engineering,University of Tehran

Tehran, Iran

ajavidaneh@ut.ac.ir

Shima Rahmatizadeh

Graduate students of GIS

Department of Surveying and Geomatics Engineering,

College of Engineering, University of Tehran

Tehran, Iran

sh_rahmat@ yahoo.com

Mohammad A. Rajabi

Associate professor of GIS

Department of Surveying and Geomatics Engineering,

College of Engineering, University of Tehran

Tehran, Iran

marajabi@ut.ac.ir

KEYWORDS
Urban Growth, Cellular Automata, neighborhood …

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.

Forest canopy density is an important criterion for forestry application. Several methods were introduced to compute these criteria. None manual methods use multispectral images to determine the canopy density. It also could be extracted from Arial images manually.

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.

This network is being developed based on national
standards to facilitate the connection of that with the networks of other countries
at the regional/global levels. This paper aims to describe the architecture of the
clearinghouse network and activities for the development of that.

The X900+ is proposed in various bundled packages to fit end users’ need with a choice of various data collection software (CHC’s Landstar and Carlson’s SurvCE) and handheld controllers (CHC’s LT30 and Getac PS236).

Spirent Communications has launched new simulation software that combines inertial MEMS sensor with multi-GNSS (GPS, GLONASS, etc.) testing. SimSENSOR includes trajectories that embed representative human motion gestures, such as arm movements. In additon MEMS noise models and errors such as bias and drift are also available under user control. The software can test fusion algorithms that take inputs from a large variety of sensors, including accelerometers, gyroscope, magnetometer, digital compass and barometric height sensors.