文献类型：期刊文献

中文题名：基于遥感图像的林况因子提取研究进展

英文题名：Research Progress in Forest Condition Factors Extraction Based on Remote Sensing Images

作者：陈永富[1,2] 陈巧[1,2] 刘华[1,2]

第一作者：陈永富

机构：[1]中国林业科学研究院资源信息研究所,北京100091;[2]国家林业和草原局林业遥感与信息技术重点实验室,北京100091

年份：2022

卷号：35

期号：2

起止页码：53-58

中文期刊名：世界林业研究

外文期刊名：World Forestry Research

收录：北大核心:【北大核心2020】；CSCD:【CSCD2021_2022】；

基金：中央级公益性科研院所基本科研业务费专项“经营单位水平森林资源高效监测技术研究”(CAFYBB2018SZ008)。

语种：中文

中文关键词：林况因子;遥感图像;目视判读;计算机提取

外文关键词：forest condition factor;remote sensing image;visual interpretation;computer extraction

分类号：S758.5;S771.8

摘要：随着遥感技术的不断发展,部分林况因子调查逐渐从传统的人工地面调查转向遥感调查,虽然提高了工作效率和精度,但也存在一些尚未解决的问题。文中系统总结了基于遥感图像的树种、树高、树冠、胸径、位置、郁闭度、年龄、株数、蓄积量、生物量等林况因子目视判读和计算机提取研究的现状及存在的问题,并对今后发展提出了建议。
With the constant development of remote sensing technology, remote sensing survey has been more adopted in the investigation of some forest condition factors than traditional artificial ground survey.Although the remote sensing survey improves the work efficiency and accuracy, there are still some problems unsolved. This paper systematically summarizes the present situation and problems of the research on visual interpretation and computer extraction of forest condition factors including tree species, tree height, crown,DBH, location, canopy density, age, number of plants, stock and biomass based on remote sensing images.Some suggestions are put forward for the future research.