کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5741929 1617196 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Estimating signal loss in pine forests using hemispherical sky oriented photos
ترجمه فارسی عنوان
برآورد میزان از دست دادن سیگنال در جنگل های کاج با استفاده از عکس های آسمان افقی نیمکره ای
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


- We present a method to predict signal loss in forests using photography.
- Signal strength values are captured using GPS carrier-to-noise ratios.
- A model is presented to predict signal loss in pine forests.
- Results indicate the only forest measurements required are from sky-oriented photos.
- Results show transmission location and canopy closure values are the key parameters.

We depend on numerous technologies that use microwave signals. The reception of these signals is degraded by reflection, absorption, and scattering due to propagation through vegetation. An understanding of how these signals are influenced by vegetation structure allows for the determination of how specific technologies may be affected in certain forest environments. This study presents a model that predicts signal loss in forested areas using novel methods. We explore the relationships between forest parameters from traditional mensuration techniques and terrestrial-based hemispherical sky oriented photos (HSOPs), and GPS signal-to-noise ratios (SNRs). HSOPs can be used to rapidly estimate leaf area index (LAI) and canopy closure (CC) values at particular angles from zenith in forested areas. The relationships between changes in the observed SNR of received GPS L1-band signals under forest canopies and forest parameter estimates calculated using HSOPs and traditional forest measurements are used to model signal attenuation. Using ordinary least squares regression modeling, we present the Canopy Closure Predictive Model (CCPM). The CCPM outlines the key forest parameters used with an adjusted R2 of 0.71 and RMSE of 2.78 dB. The resulting CCPM predicts signal attenuation while using only the minimum number of statistically-significant parameters which, conveniently, are taken from sky oriented photos and GPS receivers allowing for simple and rapid replication.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Informatics - Volume 38, March 2017, Pages 82-88
نویسندگان
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