Title of article
Remote sensing of spider mite damage in California peach orchards
Author/Authors
Luedeling، نويسنده , , Eike and Hale، نويسنده , , Adam and Zhang، نويسنده , , Minghua and Bentley، نويسنده , , Walter J. and Dharmasri، نويسنده , , L. Cecil، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
12
From page
244
To page
255
Abstract
Remote sensing techniques can decrease pest monitoring costs in orchards. To evaluate the feasibility of detecting spider mite damage in orchards, we measured visible and near infrared reflectance of 1153 leaves and 392 canopies in 11 peach orchards in California. Pairs of significant wavelengths, identified by Partial Least Squares regression, were combined into normalized difference indices. These and 9 previously published indices were evaluated for correlation with mite damage.
spectral regions for leaves and two regions for canopies (at blue and red wavelengths) were significantly correlated with mite damage. These findings were tested by calculating normalized difference indices from the Red and Blue bands of six multispectral aerial images.
values were linearly correlated with mite damage (R2 = 0.47), allowing identification of mite hotspots in orchards. However, better standardization of aerial imagery and accounting for perturbing environmental factors will be necessary for making this technique applicable for early mite detection.
Keywords
Prunus persica , aerial imagery , Remote sensing , Spectroradiometer , Spectral reflectance , Integrated pest management , Partial Least Squares (PLS) regression
Journal title
International Journal of Applied Earth Observation and Geoinformation
Serial Year
2009
Journal title
International Journal of Applied Earth Observation and Geoinformation
Record number
2378545
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