کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6374574 | 1624667 | 2016 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Hail defoliation assessment in corn (Zea mays L.) using airborne LiDAR
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم زراعت و اصلاح نباتات
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![عکس صفحه اول مقاله: Hail defoliation assessment in corn (Zea mays L.) using airborne LiDAR Hail defoliation assessment in corn (Zea mays L.) using airborne LiDAR](/preview/png/6374574.png)
چکیده انگلیسی
To evaluate the potential of LiDAR metrics to map corn canopy height and hail defoliation, a flight campaign was organized in 2014 in Wampersdorf (Austria) in a cropland area affected by a hailstorm. Ground-truth observations were carried out in 16 plots, where defoliation was assessed both visually (observed range from 0% to 70%) and using a biophysical parameter-based method. The performance of both traditional and newly-introduced metrics (i.e. Canopy Metric, Ground Metric) was assessed at different sampling point densities. The results showed the ability of LiDAR data to map both corn canopy height and defoliation (predicted vs. observed regression: R2Â =Â 0.69 for both canopy height and defoliation; point density 5 and 42 points/m2, respectively). The presented approach has distinct advantages compared to previous remote sensing methods and has a clear application potential for farmers and insurance industries. Larger-scale studies are needed to verify its best implementation strategies and to investigate its economic and logistic benefits.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Field Crops Research - Volume 196, September 2016, Pages 426-437
Journal: Field Crops Research - Volume 196, September 2016, Pages 426-437
نویسندگان
Loris Vescovo, Damiano Gianelle, Michele Dalponte, Franco Miglietta, Federico Carotenuto, Chiara Torresan,