高精度林业自动集中远程监测系统(ACRMS)的效率

Amri Yusoff, Shahrizuan Shafiril, Ashardi Abas, N. Yusoff
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引用次数: 2

摘要

森林生态系统因其生物多样性和在全球大气平衡中的重要作用而一直受到世界的关注。马来西亚的一个例子是皇家贝伦森林,尽管该地区已被列为为子孙后代保护的保护区,但它也未能幸免于不负责任的个人的土地开垦或非法活动。本研究的主要目的是利用和评估一种自动化的基于对象的变化检测方法来检测生态系统中的变化。本研究的方法论包括用于开发原型和系统架构的教学设计,以便向读者清楚地解释所进行的研究。所提出的方法由独立的盒子组成,盒子中包含多个传感器,如湿度、温度和氢气传感器。该试验台于2014年12月和2015年4月进行了两个阶段的试验。我们比较了从森林的上部和下部获得的数据,看看是否有任何涉及下部的事件,因为从研究和皇家贝伦研究所的信息来看,森林的下部有非法采伐活动。在技术接受模型的基础上,建立了环境数据效应的一阶结构毁林模型,考察上下两部分变量之间的相关性。这一结果将有利于有关部门保护森林生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The efficiency of an automated centralized remote monitoring system (ACRMS) for precision forestry
Forest ecosystems have always received worldwide attention due to their biological diversity and major role in the global atmospheric balance. One case example in Malaysia is the Royal Belum forest which has not been spared from land clearing or illegal activities by the irresponsible individuals, although this area has been gazetted as a protected area preserved for future generations. The main aim of this research is to utilize and to evaluate an automated object-based change detection method for detecting changes within the ecosystem. The methodology of this research consists of an instructional design used to develop this prototype and system architecture to explain clearly to the reader about the conducted research. The proposed method consists of standalone boxes, with the case contained multi-sensors like humidity and temperature and hydrogen gas sensors. The test-bed was conducted for two phases from December 2014 and April 2015. We compared the data gained from the upper part of the forest and the lower part of the forest to see if there are any occurrences involving the lower part because from the study, and also information from Royal Belum Institution, it is stated that there are illegal logging activities at the lower part of the forest. A model based on Technology Acceptance Model has been developed namely First Order Structural Deforestation Modeling for the Effect of Environmental Data to see the correlation between variables at upper and lower parts. This result will benefit the relevant authority in protecting forest ecosystem.
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