Since the breathing level of asbestos fiber can lead to an increased risk of lung cancer, mesothelomia and the abdominal cavity asbestosis, SUPARCO collected data for asbestos in ambient and indoor air from different sites. Air was sampled by using asbestos sampling pumps. Microscopic identification of Asbestos fibers was done by preparing glass slides as per OSHA guidelines.
Advanced Training Course on SAR Imagery
Institute
National Center for Remote Sensing and Geo-Informatics (NCRG), Karachi, Pakistan
Synthetic Aperture Radar (SAR), owing to its advantage of cloud / haze penetration, day, night and all weather coverage, carries a great potential to be used in a variety of application areas. SAR uses different wavebands within microwave part of the electromagnetic spectrum, to identify and delineate various earth features/objects. Thus, this training course aims to provide understanding in radar remote sensing, impart knowledge and hands-on experience in SAR specific open source software for processing SAR imagery, acquaint participants with techniques of extracting information from SAR imagery products, familiarize participants with techniques of integrating SAR and optical data and share information about various applications of SAR imagery.
Contents of Course
Basic Concepts of SAR Imagery
Past, Present and Future Radar Technologies
Statistical Analysis and Interpretation of SAR Images
Hands-on practice on SAR Data Processing
Land Applications of SAR
Ocean Application of SAR
Principles of Radar Interferometry
Understand/Read Interferograms
Advanced SAR Applications
Course Fee
PKR 25,000 (US $ 300 for foreign participants)
Venue
NCRG, Karachi
Assessment
Oral or written examination
Application Form
Remote Sensing & GIS Applications in Geology
Institute
National Center for Remote Sensing and Geo-Informatics (NCRG), Karachi, Pakistan
01th May 2023 for local participants
07th April 2023 for foreign participants
Starting Date
08th May 2023
Course Duration
One Week
Course Level
Advance
Pre-requisites
Basic knowledge of Geology, Remote Sensing & GIS
Objectives
Remote Sensing offers wide applications including Lithological discrimination, structural mapping, land form analysis, hydrogeology, environmental geosciences and mineral prospection. The synoptic coverage and multispectral information provided by the remotely sensed data have proved to be advantageous over conventional methods for geological mapping. It helps in visualizing the terrain as a whole for understanding the spatial relationship between different features.
The aim of this training course is to impart knowledge and skills in utilization of Remote Sensing data for developing Geological applications. Geological maps composition and sharing of expertise in carrying out mineral prospection, ground water studies, and Geohazard monitoring projects will be covered along with necessary hands-on practical/demonstration.
Contents of Course
Introduction to Remote Sensing & GIS
RS & GIS Applications in Geology
Satellite Data Visualization and Processing
Lithological Identification
Minerals Discrimination & Mapping
Drainage Network Analysis
Topographic Analysis
3-D Subsurface and Cross Sectional Data Analysis
Geological Map Composition
Course Fee
PKR 25,000 (US $ 300 for foreign participants)
Venue
NCRG, Karachi
Assessment
Oral or written examination
Application Form
Remote Sensing of Environment and Climate Change
Institute
National Center for Remote Sensing and Geo-Informatics (NCRG), Karachi, Pakistan
Basic knowledge of Earth sciences and allied fields with some computer knowledge
Objectives
The course aims at providing basic understanding of Regional Climate Model (ReqCM) & Dispersion Modeling such as CHARM software. The course progresses from introducing climate change through numerical modeling, installing and running of model to analyze the results. The course will navigate through remote sensing and GIS software packages for post processing of results obtained.
Contents of Course
Introduction to Climate Change, Numerical Modeling & Dispersion modeling
Compiling and using run of different models
Use of remote sensing and GIS and software packages
