Parallel Compositing of Multi-Temporal Satellite Imagery using Temporal Map Algebra

Author

Bijay Shrestha

Issuing Body

Mississippi State University

Advisor

Allen, Edward B.

Committee Member

O'Hara, Charles

Committee Member

Luke, Edward A.

Date of Degree

12-10-2005

Document Type

Graduate Thesis - Open Access

Major

Computer Science

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Computer Science and Engineering

Abstract

Spatio-temporal satellite image analysis is a technique for monitoring spatial and temporal changes of land cover and oceanic locations on earth. Temporal Map Algebra (TMA) is a novel technique developed by Jeremy Mennis and Roland Viger for analyzing a time series of satellite imagery using simple algebraic operators that treats time series of imagery as a threedimensional data set, where two dimensions encode planimetric position on earth surface and the third dimension encodes time. The high dimensionality of raster data leads to high computational cost, which is why parallel computation is attractive. This thesis describes the design, implementation, andmperformance evaluation of parallel compositing of vegetation indices derived from MODIS datasets using TMA.

URI

https://hdl.handle.net/11668/17302

Comments

parallel processing||image compositing||temporal map algebra

Recommended Citation

Shrestha, Bijay, "Parallel Compositing of Multi-Temporal Satellite Imagery using Temporal Map Algebra" (2005). Theses and Dissertations. 3434.
https://scholarsjunction.msstate.edu/td/3434