干旱区生态环境知识资源中心(Arid): 基于Landsat 8OLI数据的砒砂岩区生物量遥感估算

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	基于Landsat 8OLI数据的砒砂岩区生物量遥感估算
其他题名	Applicating Landsat 8OIL to Estimate Biomass in Pisha Sandstone Area
	刘雨晴; 闫峰; 陈俊翰
来源期刊	水土保持研究
ISSN	1005-3409
出版年	2021
卷号	28 期号:2 页码:1005-3409
中文摘要	为了评价砒砂岩区植被生长状况和地上生物量的空间分布特征,采用Landsat 8OLI和同期实测生物量数据对砒砂岩区生物量估算方法进行了研究。结果表明:(1)NDVI,RVI,SAVI,MSAVI与地上生物量(Above ground biomass,AGB)的相关性显著,其中MSAVI和AGB的相关性最高(R~2=0.4416),SAVI次之(R~2=0.3923),NDVI(R~2=0.1375)和RVI(R~2=0.1306)相对最低,NDVI和RVI在荒漠生态系统生物量遥感估算中并不是效果最佳的植被指数;(2)高斯低通33滤波核滤波的MSAVI与AGB的相关性(R~2=0.4757)高于未滤波处理图像,滤波后建立的AGB-MSAVI_GLPF3估算模型平均相对误差MRE为13.41%,模型具有较高的估算精度;(3)遥感估算2019年砒砂岩研究区总AGB为9.210~5 t,其中AGB低值区的面积占比为13.03%,AGB中值区面积占比为47.56%,AGB高值区面积占比为39.41%。荒漠生态系统AGB与MSAVI的相关性显著,基于高斯低通滤波建立起的AGBMSAVI _GLPF3模型可以较好地实现砒砂岩区AGB遥感估算。
英文摘要	In order to evaluate the vegetation growth status and the spatial distribution characteristics of above ground biomass(AGB)in the Pisha sandstone area,Landsat 8OLI image and in situ AGB data in the same period were used to study the AGB estimation method in the Pisha sandstone area of the Ordos Plateau.The results show that:(1)NDVI,RVI,SAVI and MSAVI had significant correlations with AGB;the correlation coefficient between MSAVI and AGB was the highest(R~2=0.4416),correlation coefficient between SAVI and AGB was also higher(R~2=0.3923),while the correlations between NDVI,RVI and AGB were relatively low,and the coefficients of determination were 0.137 5 and 0.130 6,respectively;among the four commonly used vegetation indexes,NDVI and RVI were not the best ones for biomass estimation in desert ecosystems;(2)the correlation between AGB and MSAVI filtered by Gaussian low pass filtering with kernel size 33 was higher than the image without filtering;the average relative error of AGB-MSAVI_GLPF3 estimation model established with filtering process was 13.41%,and the model had a higher estimation accuracy;(3)the total AGB of the study area in Pisha sandstone was 9.210~5 t in 2019,including 13.03%of low value AGB area,47.56%of middle value AGB area and 39.41%of high value AGB area.The correlation between AGB and MSAVI was significant in desert ecosystem and the AGB-MSAVI_GLPF3 model established based on Gaussian Low Pass Filter could estimate AGB accurately in the Pisha sandstone area.
中文关键词	生物量 ; 遥感估算 ; 砒砂岩区
英文关键词	biomass remote sensing estimation Pisha sandstone area
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Geography
CSCD记录号	CSCD:6945552
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/354459
作者单位	刘雨晴, 中国林业科学研究院荒漠化研究所, 北京 100091, 中国.; 闫峰, 中国林业科学研究院荒漠化研究所, 北京 100091, 中国.; 陈俊翰, 中国林业科学研究院荒漠化研究所, 北京 100091, 中国.
推荐引用方式 GB/T 7714	刘雨晴,闫峰,陈俊翰. 基于Landsat 8OLI数据的砒砂岩区生物量遥感估算[J],2021,28(2):1005-3409.
APA	刘雨晴,闫峰,&陈俊翰.(2021).基于Landsat 8OLI数据的砒砂岩区生物量遥感估算.水土保持研究,28(2),1005-3409.
MLA	刘雨晴,et al."基于Landsat 8OLI数据的砒砂岩区生物量遥感估算".水土保持研究 28.2(2021):1005-3409.