Microsoft Word remote sensing-booklet doc



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Remote Sensing 2005

Geo-computation 
Interpolation techniques, surface 
modeling, DTM/DEM  

Interpolation of elevation 
data and surface modeling 
Multi-criteria and Multi-attribute 
Modeling 
2 Suitability 
analysis 
 
Multi-objective Modeling 

Risk Modeling 
Uncertainties in spatial modeling  

Assignment on 
uncertainties in spatial 
modeling 
 16 
 
 
 
5: Spatial Data Infrastructure
 
 
Information is an asset that can be shared and traded. It has value; can be 
bought and sold; value can be added in various processing steps. This 
means that information becomes a commodity and, like all other 
commodities, needs to be transported and distributed. For this to be carried 
out effectively there is the need to setup an infrastructure. Geographical 
information utility (GIU) is an infrastructure set up for the efficient integration 
and distribution of geographic data/information to enhance its availability, 
accessibility and use. Despite the technological change, the free flow and 
use of the information is still in its infancy. Therefore the main objective of 
this course is to understand the structure and processes and its standards 
which are involved in data sharing. Subject includes the applications and  
architecture of Spatial Data Infrastructure
 
 


HEC — RS&GIS Curricula 2005
 
 
 83  
 
 
 
 
 
Introduction 
Need for SDI, Components of 
SDI 
 

Comparison of working SDIs 
Clearinghouse 
Clearing house architecture 
National Geospatial 
Clearinghouse 
Metadata concepts and 
functionality 
Structure of Metadata 
 

Development of Metadata 
according to Standards 

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