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Mapping Intra-Field Yield Variation Using High Resolution Satellite Imagery to Integrate Bioenergy and Environmental Stewardship in an Agricultural Watershed

Y. Hamada,H. Ssegane,M. Negri

Published 2015 in Remote Sensing

ABSTRACT

Abstract: Biofuels are important alternatives for meeting our future energy needs. Successful bioenergy crop production requires maintaining environmental sustainability and minimum impacts on current net annual food, feed, and fiber production. The objectives of this study were to: (1) determine under-productive areas within an agricultural field in a watershed using a single date; high resolution remote sensing and (2) examine impacts of growing bioenergy crops in the under-productive areas using hydrologic modeling in order to facilitate sustainable landscape design. Normalized difference indices (NDIs) were computed based on the ratio of all possible two-band combinations using the RapidEye and the National Agricultural Imagery Program images collected in summer 2011. A multiple regression analysis was performed using 10 NDIs and five RapidEye spectral bands. The regression analysis suggested that the red and near infrared bands and NDI using red-edge and near infrared that is known as the red-edge normalized difference vegetation index (RENDVI) had the highest correlation (

PUBLICATION RECORD

  • Publication year

    2015

  • Venue

    Remote Sensing

  • Publication date

    2015-07-31

  • Fields of study

    Agricultural and Food Sciences, Geology, Computer Science, Environmental Science

  • Identifiers
    DOI 10.3390/rs70809753
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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