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109860

SELECTING THE BEST REMOTE SENSING PLATFORM FOR AGRICULTURAL ASSESSMENT USING MULTI-OBJECTIVE ANALYSIS

Article

Last updated: 04 Jan 2025

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Tags

Agricultural Power and Machinery Engineering

Abstract

Remote sensing has been identified as a cost-effective technology for site-specific management. This technology offers geographically extensive and continuous assessment of plants, soil and water resources, and other land surface phenomena. Selection of the best available remote sensing technology is determined in most cases by platform and sensor attributes. If these attributes can be quantified, then a multi-objective analysis may be performed to assess quantitatively the tradeoffs between different sensor and platform attributes, identifying the best overall technology. Pioneer work was presented by applying multi-objective analyses to remote sensing technology. Experts were surveyed to identify the best overall technology for agricultural purposes at three different pixel sizes: very fine (<5 cm), fine to moderate (0.5 m – 1.0 m), and moderate to coarse resolutions (0.1 km – 1.0 km). Platform technologies included hand held sensors, booms, remotely piloted vehicles, unmanned aerial vehicles, manned aircraft, Quickbird, Landsat, AVHRR, MODIS, ASTER, and SPOT. Plurality voting, Borda count, Hare system, and pairwise voting were used to analyze survey responses. Results suggest hand held sensors and manned aircraft platforms were favored for applications requiring very fine and fine to moderate spatial resolutions. AVHRR and MODIS were rated equally as the best alternatives for applications requiring moderate to coarse resolution imagery.

DOI

10.21608/mjae.2009.109860

Keywords

multi-objective analysis, Remote Sensing, social choice, decision-making

Authors

First Name

A.

Last Name

Roanhorse

MiddleName

-

Affiliation

Dept. of Agric. and Biosystems Engineering, University of Arizona, Tucson, AZ, USA

Email

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City

-

Orcid

-

First Name

D.

Last Name

El Shikha

MiddleName

-

Affiliation

Agric. Eng. Dept., Mansoura University, Al Mansoura, Egypt

Email

-

City

-

Orcid

-

First Name

F.

Last Name

Szidarovszky

MiddleName

-

Affiliation

Systems and Industrial Engineering Dept., University of Arizona, Tucson, AZ, USA

Email

-

City

-

Orcid

-

First Name

P.

Last Name

Waller

MiddleName

-

Affiliation

Dept. of Agric. and Biosystems Engineering, University of Arizona, Tucson, AZ, USA

Email

-

City

-

Orcid

-

Volume

26

Article Issue

1

Related Issue

16679

Issue Date

2009-01-01

Receive Date

2020-08-27

Publish Date

2009-01-01

Page Start

11

Page End

43

Print ISSN

1687-384X

Online ISSN

2636-3062

Article File

MJAE_Volume 26_Issue 1_Pages 11-43.pdf

PDF . 454.7kB

Link

https://mjae.journals.ekb.eg/article_109860.html

Detail API

https://mjae.journals.ekb.eg/service?article_code=109860

Order

2

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

SELECTING THE BEST REMOTE SENSING PLATFORM FOR AGRICULTURAL ASSESSMENT USING MULTI-OBJECTIVE ANALYSIS

Details

Type

Article

Created At

23 Jan 2023