Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Aliakbar Rasuly

Aliakbar Rasuly

Macquarie University
Australia

Title: Real-time monitoring and synchronized processing of dust storms Western parts of Iran

Biography

Biography: Aliakbar Rasuly

Abstract

The real-time monitoring of the weather and climate conditions by means of multi-spectral satellite images has become increasingly important during the past decades, in context of a modern geography. Subsequent synchronized image processing procedure is currently linked to discover all possible variations in environment and climate changes, mostly interleaving catastrophic impacts throughout of Iran. This study demonstrates how satellite images are being captured by a local satellite receiving station, mounted in the University of Tabriz. Associated Grabber software receives, archives, processes and displays data from NOAA Advanced Very High Resolution Radiometer (AVHRR) and MODIS/TERRA/Aqua images. Relevant images are being capturing by a land-based 1.8 m parabolic dish rotator and equipment rack with a receiver, ingest PC, a number of server host computers and distributed network switches. All allied hardwares and softwares provide fully automatic control of an advanced stabilization weather capturing system, intentionally the days with duststorm events. Purposely ingested data have been primary processed applying an automatic preprocessed setting and output images were subsequently taken into a non-popular image processing package; as a programming palette inside the iDAP & MacroPro softwares. Subsequently, a formula palette was defined with a complete range of functions in calculating of different duststorm indexes; such as: BTDI and AVI (adjusted for AVHRR images) and followed by BTA, NDDI, TDI and DP (adjusted for MODIS images) have been steadily applied. All processed images were exported to ArcGIS setting and ultimate dust maps have been lastly modeled.