کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1150881 1489822 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Process modeling for soil moisture using sensor network data
ترجمه فارسی عنوان
مدل سازی فرآیند برای رطوبت خاک با استفاده از داده های شبکه حسگر
کلمات کلیدی
همجوشی داده ها، سازگاری اویلر، مدل غیر خطی سلسله مراتبی معادله دیفرانسیل جزئی، مدل فضایی دولتی
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
چکیده انگلیسی

The quantity of water contained in soil is referred to as the soil moisture. Soil moisture plays an important role in agriculture, percolation, and soil chemistry. Precipitation, temperature, atmospheric demand and topography are the primary processes that control soil moisture. Estimates of landscape variation in soil moisture are limited due to the complexity required to link high spatial variation in measurements with the aforesaid processes that vary in space and time. In this paper we develop an inferential framework that takes the form of data fusion using high temporal resolution environmental data from wireless networks along with sparse reflectometer data as inputs and yields inference on moisture variation as precipitation and temperature vary over time and drainage and canopy coverage vary in space. We specifically address soil moisture modeling in the context of wireless sensor networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Statistical Methodology - Volume 17, March 2014, Pages 99–112
نویسندگان
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