Amazon rainforest visualization/classification by orbiting radar, enabled by supercomputers (ARVORES)

Author

Siqueira, Paul ; Chapman, Bruce ; Saatchi, Sasan ; Freeman, Tony

Author_Institution

Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA

Volume

1

fYear

1997

fDate

3-8 Aug 1997

Firstpage

104

Abstract

The ARVORES project is a specific science task (part of a larger supercomputing effort) whose purpose is to develop SAR resources based on JERS-1 multi-season coverage of the Amazon rainforest using available state of the art computing technology. Because of the basin-wide coverage of this data set, in addition to providing the immediate science goals of landcover classification, it will also serve as a foundation which present and future data sets may be overlain and compared to. In addition, it is the goal of this project to use the science requirements related to the study of the Amazon region to guide the development of a flexible, large-scale computing environment for addressing SAR specific tasks

Keywords

forestry; geophysical techniques; geophysics computing; image classification; radar computing; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ARVORES; Amazon rainforest visualization classification by orbiting radar enabled by supercomputers; Brazil; JERS-1; SAR; geophysical measurement technique; image classification; land surface; landcover classification; radar computing; radar imaging; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; tropical forest; vegetation mapping; Data analysis; Floods; Image resolution; Information analysis; Layout; Performance analysis; Propulsion; Radar imaging; Supercomputers; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615811

Filename

615811