基于天空地一体化森林资源调查的小班因子设置与信息获取方法
收稿日期: 2020-10-03
修回日期: 2020-12-03
网络出版日期: 2021-03-30
基金资助
广西壮族自治区林业勘测设计院科研业务费专项(GXLKYKJ201601)
Method for Sub-compartment Investigation Factors Setting and Information Acquisition Based on Integrated Aerial-Space-Ground Forest Inventory System
Received date: 2020-10-03
Revised date: 2020-12-03
Online published: 2021-03-30
为有效改善现行森林资源规划设计调查中存在的问题,提出并试验了天空地一体化森林资源调查监测新技术体系。此方法虽较传统方法缺少下木植被与天然更新、林分健康状况等需实地调查记录的因子,但仍能够较全面地反映小班林地和林木资源状况(类型、数量、质量和结构)及其所处自然环境条件,完全满足集体林区森林资源经营管理需要和森林资源报表的统计需要,并可满足各种相关应用对森林资源基础数据的需要;除小班基本属性(土地类型、优势树种、林木起源和伴生树种)需要逐一进行图像解译和少量实地补充调查外,新技术体系的其余各项调查因子均可通过编写计算机程序自动获取,这极大地减少了调查工作量、降低了劳动强度、提高了工作效率,并且质量可控,有效地保证了小班调查数据的可靠性,确保了森林资源调查成果质量。
代华兵 , 李春干 , 庞勇 , 李崇贵 . 基于天空地一体化森林资源调查的小班因子设置与信息获取方法[J]. 林草资源研究, 2021 , 0(1) : 180 -188 . DOI: 10.13466/j.cnki.lyzygl.2021.01.023
In order to solve the problems in the current forest resources planning,design and forest inventory,a novel technology system of integrated aerial-space-ground forest resources survey and monitoring system was proposed and tested.This paper introduced the method for forest sub-compartment investigation factors setting and information acquisition.Compared with the traditional methods,this method lacks some factors which need to be recorded in the field,such as understory vegetation,natural regeneration and forest health status.However,the sub-compartment investigation factors of the novel technology system could still reflect the forest land and tree status(type,quantity,quality and structure),as well as the natural environment conditions.It can completely satisfied the requirements of forest resources management and statistics of forest resources reports in collective forest areas,and it also can meet the demands of various related applications for the basic data of forest resources.The basic attributes of sub-compartment(land type,dominant tree species,tree origin and associated tree species) need remotely sensed image interpretation and some supplementary field investigation,while the other attributes of sub-compartment can be obtained automatically by computer program.This method greatly reduces the investigation workload and labor force,while improves the efficiency and quality.The results indicated that it can effectively ensure the reliability of sub-compartment investigation data and the quality of forest resources inventory results.
Key words： forest resources; sub-compartment; investigation factors; remote sensing; GIS; LiDAR
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