Research On Forest Operation’s Management System Based On Mapping And Prediction Analysis

Understanding historical forest data in order to learn from them and avoid past mistakes is an important step that leads to a successful management of forests.The lack of information about historical data in forest operations is a problem that leads forest managers to make inappropriate decisions.A management information system that is able to keep the historical forest data would help to plan for the future in an adequate way.The aim of this research project is to develop a Forest Operation’s Management Information System(FOMIS)with mapping capabilities and predict forest data by using regression analysis.The systems will help managers to track historical tending data in tabular and visual form,and see the changes and status of the forest.The research case for this study is the Linkou Forest Bureau located in the Heilongjiang Province,China.For the successful implementation of this research we have followed the usual lifecycle of a software development.This research first analyses the existing forest resource management system and planning system,identifies the problem and analyses the requirements for the success of FOMIS system.A system design phase is done and the architecture of the system is put in place in order to meet the requirements.Java Script,HTML,and CSS are used for the system implementation,e-chart library is used for data visualization and Openlayers for map visualizations.The Postgre SQL and Post GIS are used as database management systems.QGIS is also used for map processing.Multiple linear regression is applied to the business data and inventory data in order to determine forest health indicator and to predict for future tending area amount.The results show that the tree density negatively affects the tree height because the increase in the density causes the decrease of the tree height.The tree density,the tree volume,the number of trees and the tree age were used to predict the amount of tending area.The tree density and the tree volume have a negative relationship with the tending area as their coefficients are negative.On the other hand,the tree number and the tree age have a positive relationship with the tending area,in a such way that these variables tend to positively contribute to the tending area amount.All these variables mentioned above cannot alone be considered as independent factors for tending area prediction,hence other factors like the forest fire area or the area destroyed by other disaster,the site slope and accessibility,and the tending method should be considered too.In order to produce better results,non-linear models should be used to fit the data.There are forest tending operations performed for consecutive years,in the same areas which is a waste of resources in terms of finances and other deployed resources in completing the unnecessary tending activities.Overlapping in the tending area can be avoided by not only consulting the map showing the activities done but also by taking into account the type of the latest tending activity and the tending methods.Finally,the system has been tested,and the requirements were met.