Research on Grid Framework of Agricultural Remote Sensing Monitoring Data Sharing
نویسندگان
چکیده
In order to effectively implement sharing and integrated application of agricultural remote monitoring data, which is of distributed areas, various types, different systems and a large amount of data, across different areas, departments and systems, new networked framework is needed to be introduced to promote sharing of resources. In this paper, based on grid, considering the current situation of agricultural remote sensing monitoring data, Grid Framework of Agricultural Remote Sensing Monitoring Data Sharing is proposed, which is designed from both the logical and physical aspect. With the explanation of its components and the relationship among them, it offers well high level instruction supporting framework for agricultural remote monitoring data. Meanwhile, based on the framework, agricultural remote monitoring data sharing grid prototype system is built in the paper, after implementing the system, the difficulties of data sharing is overcame, and the efficiency is improved, data resource distributed in different departments is regularly integrated, the results is good and the system is feasible and practicable.
منابع مشابه
M-A model of agricultural remote sensing monitoring metadata based on grid environment
The increase of the amount of agricultural remote sensing monitoring data makes it difficult for data storage and management thereby limiting the utilization of data resources. Considering the security and response time, the original data cannot be directly exposed on the Internet for user queries. Therefore, there is an urgent need to organize and describe agricultural remote sensing monitorin...
متن کاملPalarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm
Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...
متن کاملDetecting Surface Waters Using Data Fusion of Optical and Radar Remote Sensing Sensor
Identification and monitoring of surface water using remote sensing have become very important in recent decades due to its importance in human needs and political decisions. Therefore, surface water has been studied using remote sensing systems and Sentinel-1 and Sentinel-2 sensors in this study. In this paper, two data fusion approaches and decision fusion improve the accuracy of surface wate...
متن کاملRemote sensing technology for mapping and monitoring vegetation cover (Case study: Semirom-Isfahan, Iran)
To determine the suitable indices for vegetation cover and production assessment based on the remote sensing data, simultaneous digital data with field data belonging to the spring rangeland of the Semirom-Isfahan province were analyzed. During two years of monitoring the annual, grass, forb, and shrub vegetation cover and the total production data from 86 were collected. The Global Positioning...
متن کاملEvaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)
Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Intelligent Automation & Soft Computing
دوره 18 شماره
صفحات -
تاریخ انتشار 2012