Multispectral imaging systems for airborne remote sensing to support agricultural production management

Authors

  • Yanbo Huang Crop Production Systems Research Unit, USDA-ARS-JWDSRC
  • Steven J Thomson Crop Production Systems Research Unit, USDA-ARS-JWDSRC
  • Yubin Lan Areawide Pest Managment Research Unit, USDA-ARS-SPARC
  • Stephan J Maas Department of Plant and Soil Science, Texas Tech University

Keywords:

airborne remote sensing, multispectral imaging, agricultural production management

Abstract

This paper investigated three different types of multispectral imaging systems for airborne remote sensing to support management in agricultural application and production.  The three systems have been used in agricultural studies.  They range from low-cost to relatively high-cost, manually operated to automated, multispectral composite imaging with a single camera and integrated imaging with custom-mounting of separate cameras.  Practical issues regarding use of the imaging systems were described and discussed.  The low-cost system, due to band saturation, slow imaging speed and poor image quality, is more preferable to slower moving platforms that can fly close to the ground, such as unmanned autonomous helicopters, but not recommended for low or high altitude aerial remote sensing on fixed-wing aircraft.  With the restriction on payload unmanned autonomous helicopters are not recommended for high-cost systems because they are typically heavy and difficult to mount.  The system with intermediate cost works well for low altitude aerial remote sensing on fixed-wing aircraft with field shapefile-based global positioning triggering. This system also works well for high altitude aerial remote sensing on fixed-wing aircraft with global positioning triggering or manually operated.  The custom-built system is recommended for high altitude aerial remote sensing on fixed-wing aircraft with waypoint global positioning triggering or manually operated.

Keywords: airborne remote sensing, multispectral imaging, agricultural production management

DOI: 10.3965/j.issn.1934-6344.2010.01.0-0 

Citation: Yanbo Huang, Steven. J. Thomson, Yubin Lan, Stephan J. Maas. Multispectral imaging systems for airborne remote sensing to support agricultural production management.  Int J Agric & Biol Eng, 2010; 3(1):

Author Biography

Yanbo Huang, Crop Production Systems Research Unit, USDA-ARS-JWDSRC

Yanbo Huang, Ph.D Agricultural Engineer USDA-ARS JWDSRC Application and Production Technology Research Unit 141 Experiment Station Rd. Stoneville, MS, 38776 USA Phone: (662)686-5354 Fax: (662) 686-5372 Email: yanbo.huang@ars.usda.gov

Published

2010-03-31

How to Cite

(1)
Huang, Y.; Thomson, S. J.; Lan, Y.; Maas, S. J. Multispectral Imaging Systems for Airborne Remote Sensing to Support Agricultural Production Management. Int J Agric & Biol Eng 2010, 3, 50-62.

Issue

Section

Information Technology, Sensors and Control Systems