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Technology Assessment Project POEC 6381 Fall 2001 Remote Sensing Software Assessment November 2, 2001 Sonia Monga John PowerPoint Presentation
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Technology Assessment Project POEC 6381 Fall 2001 Remote Sensing Software Assessment November 2, 2001 Sonia Monga John Baccellieri.

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Technology Assessment Project

POEC 6381 Fall 2001

Remote Sensing Software Assessment

November 2, 2001

Sonia Monga

John Baccellieri

remote sensing
The science of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device not in contact with the “particular” under investigation

Basically: satellite and aerial imagery acquisition and processing

Remote Sensing
assessment methodology
Developed Requirements

Non-RS categories (cost, interoperability, support)

Three real world “scenarios” which have different RS requirements

Developed “weightings”

For each scenario, reflect the relative importance of each requirement

Narrowed assessment to four major vendors

Reviewed literature to score a vendor’s ability to meet each scenario’s requirements. 1 to 10 (high) scoring: considered forced ranking, found it impractical

Supplemented literature with a hands-on review of two vendors’ offerings

Applied weightings to raw scores to find best vendor for each scenario

Assessment Methodology
remote sensing organizational scenarios
I. RS Project Oriented

Image interpretation

Digital analysis

Map composition

Example: detailed land use / land cover analysis and change detection: Fire damage analysis

II. Organization Specializing in Application of RS and GIS

Data acquisition

Integrate with non-spatial data

Analyze the combined RS and non-RS data

Presentation of customized reports

Example: Aerial photos merged with parcel data:

Micro-level analysis of urban environments

III. Organization With Primary Focus on GIS

Quality of RS data less important

Limited RS analysis required

Example: Routing, Hydrological, Geological

Remote Sensing Organizational Scenarios
assessment limitations
Limited to four well-reviewed tool suites

Scenarios may not reflect real-life needs

Made on vendor and 3rd party reports

Hands-on with ERDAS and ENVI only

Weightings reflect the authors’ opinions

GIS and RS tools are converging…wait?

That said…

Assessment Limitations
selection criteria remote sensing
Visual display and enhancement

Classification

Rectification and Geometric Registration

Multiple data formats

Orthophoto Creation

RADAR Capabilities

Web Capability

Macro/Programming Language

Extent of Vector Capability

The Scores….

Selection Criteria: Remote Sensing
selection criteria non rs
Selection Criteria: Non-RS
  • Interoperability with major GIS packages
  • Performance (*)
  • Cost / Value (*)
  • Market Share/Installed Base
  • Vendor Financial Stability (*)
  • Vendor Support Services
  • Versioning and Technology Plans
  • Training Availability and Quality
  • Learning Curve
  • Hardware Platforms Supported
  • Operating Systems Supported