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International Society for Environmental Information Sciences

Environmental Informatics Archives

ISSN 1811-0231 / ISEIS Publication Series Number P002

Copyright © 2006 ISEIS. All rights reserved.



  Paper EIA06-029, Volume 4 (2006), Pages 324-334 = complimentary

Integration of Remote Sensing and Environmental Modeling for Pollution Prevention in Citrus Industry

N. B. Chang1, Q. Du2 and R. S. Kanth3

1. Department of Civil and Environmental Engineering, University of Central Florida, Orlando, Florida, USA.

2. Department of Electrical and Computer Engineering, Mississippi State University, Mississippi, USA.

3. Department of Environmental Engineering, Texas A&M University- Kingsville, Kingsville, Texas, USA. *Corresponding author: .



This paper aims at developing an airborne multispectral technique for identifying tree health problems in a citrus farm that can be combined with variable rate technology (VRT) for required pesticide application and environmental modeling for assessment of pollution prevention. Unsupervised linear unmixing method was applied to classify the image scenes and quantify the symptom severity for appropriate infection control. The PRZM-3 model was used to estimate environmental impacts that contribute to nonpoint source pollution with and without the application of multispectral remote sensing. Research findings using site specific environmental assessment clearly indicate that combination of remote sensing and VRT may result in benefit to the environment by reducing the nonpoint source pollution by 92.15% in the citrus farm. It ultimately demonstrates the potential of precision farming in the citrus industry, both in Texas and elsewhere, in the nexus of industrial ecology and sustainability.

Keywords: citrus farm, pesticide control, precision farming, remote sensing, environmental impact assessment, industrial ecology, sustainability


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