[1]张玉红,闫浩.森林火灾后植被恢复的遥感监测[J].自然灾害学报,2022,31(02):127-136.[doi:10.13577/j.jnd.2022.0214]
 ZHANG Yuhong,YAN Hao.RS mornitoring of vegetation restoration after forest fire[J].,2022,31(02):127-136.[doi:10.13577/j.jnd.2022.0214]
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森林火灾后植被恢复的遥感监测
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
31
期数:
2022年02期
页码:
127-136
栏目:
出版日期:
2022-04-28

文章信息/Info

Title:
RS mornitoring of vegetation restoration after forest fire
作者:
张玉红1 闫浩2
1. 哈尔滨师范大学 地理科学学院, 黑龙江 哈尔滨 150025;
2. 自然资源部第二大地测量队, 黑龙江 哈尔滨 150025
Author(s):
ZHANG Yuhong1 YAN Hao2
1. Department of Geography Science, Harbin Normal University, Harbin 150025, China;
2. The Second Geodetic Surveying Institute of Ministry of Natural Resources, Harbin 150081, China
关键词:
净初级生产力参数生态模型森林植被恢复遥感监测
Keywords:
net primary productivity (NPP)CASA modelforest restorationRS monitoring
分类号:
S771.8;X43
DOI:
10.13577/j.jnd.2022.0214
摘要:
文中结合Landsat TM遥感影像和CRU气象数据,采用参数生态模型,从森林植被净初级生产力NPP入手,模拟估算大兴安岭地区图强林业局1987年森林火灾后的植被覆盖情况,并通过控制实验对比分析影响森林NPP估算模型的主要因子和过火区域的NPP变化,从而实现火灾后对森林恢复情况的遥感监测。结果表明: 1987年森林大火造成的研究区森林NPP数值下降严重。之后森林植被NPP数值逐渐回升,2009年之后达到最大值,已经完全恢复到火灾前的数值。从空间分布来看,研究区北部地区受火灾影响较大,多年森林NPP总体数值变化明显呈增长趋势,到2009年后则趋近平稳;南部未过火区域没有明显变化。利用遥感技术与生态模型结合是监测火灾后森林恢复的有效途径。
Abstract:
Our objects are to analyze quantities and spatial pattern of forest NPP to monitor the change of NPP in bured region after fire. We selected Tuqiang Forestry Bureau as our study area,and estimated forest NPP in July during 1987 to 2011 using CASA model,geographic information system and remote sensing technology,combined with Landsat TM remote sensing images,CRU meteorological data,and forest distribution map. We analyzed some key factors that impact on forest NPP and NPP change in burned region,so we can monitor forest recovery after fire by RS technolgy. The results showed that the NPP value decreased obviously after fire in study area. After that,the NPP value of forest vegetation gradually recovered and reached the maximum value in 2009,and it has been fully restored to the value before the fire. The northern area of the study area is greatly affected by the fire,and the overall value of forest NPP has obviously increased over the years,and it has become stable after 2009. There is no obvious change in the unfired area in the south. The combination of remote sensing technology and ecological model is an effective way to monitor forest restoration after fire.

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备注/Memo

备注/Memo:
收稿日期:2021-7-15;改回日期:2021-10-31。
基金项目:黑龙江省科学基金项目(D2018001)
作者简介:张玉红(1977-),女,副教授,主要从事地理信息系统与遥感技术应用的研究.E-mail:zhangyuhong77@163.com
更新日期/Last Update: 1900-01-01