基于Landsat8和Sentinel-2数据的砒砂岩区生物量估算的差异性

刘雨晴; 闫峰; 陈俊翰; 何晨阳

doi:10.13961/j.cnki.stbctb.2022.04.024

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基于Landsat8和Sentinel-2数据的砒砂岩区生物量估算的差异性

试验研究

- 基于Landsat8和Sentinel-2数据的砒砂岩区生物量估算的差异性
- Differences in Biomass Estimation in a Feldspathic Sandstone Area by Landsat 8 and Sentinel-2 Data
- 水土保持通报 2022年42卷第4期页码：188-194
- 作者机构：
  
  1. 中国林业科学研究院生态保护与修复研究所,北京,100091
  2. 中国林业科学研究院荒漠化研究所,北京,100091
- 作者简介：
- 基金信息：
  
  中央级公益性科研院所基本科研业务费专项“面向埃及荒漠化防治技术研究与示范”（CAFYBB2019GB001）
- DOI：10.13961/j.cnki.stbctb.2022.04.024
  中图分类号： K903;S127
- 纸质出版：2022
- 稿件说明：
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刘雨晴, 闫峰, 陈俊翰, 等. 基于Landsat8和Sentinel-2数据的砒砂岩区生物量估算的差异性[J]. 水土保持通报, 2022,42(4):188-194.

Liu Yuqing, Yan Feng, Chen Junhan, et al. Differences in Biomass Estimation in a Feldspathic Sandstone Area by Landsat 8 and Sentinel-2 Data[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 188-194.
刘雨晴, 闫峰, 陈俊翰, 等. 基于Landsat8和Sentinel-2数据的砒砂岩区生物量估算的差异性[J]. 水土保持通报, 2022,42(4):188-194. DOI： 10.13961/j.cnki.stbctb.2022.04.024.

Liu Yuqing, Yan Feng, Chen Junhan, et al. Differences in Biomass Estimation in a Feldspathic Sandstone Area by Landsat 8 and Sentinel-2 Data[J]. Bulletin of Soiland Water Conservation, 2022, 42(4): 188-194. DOI： 10.13961/j.cnki.stbctb.2022.04.024.

摘要

[目的] 分析基于不同空间分辨率遥感影像估算的地上生物量(above ground biomass，AGB)差异，为遥感估算荒漠生态系统AGB的研究中不同空间分辨率影像的选择提供依据。[方法] 在地面AGB调查的基础上，结合Landsat 8与Sentinel-2影像建立AGB-MSAVI统计模型，对砒砂岩区AGB进行了遥感估算，并分析不同植被覆盖区(高、中、低) AGB估算的差异性。[结果] Landsat 8与Sentinel-2影像均能较好地实现AGB估算，AGB估算结果在空间分布上具有相似性。基于Landsat 8和Sentinel-2数据估算AGB模型平均相对误差分别为13.41%和11.42%，基于Sentinel-2数据的AGB估算精度较高。[结论] 不同植被覆盖区Sentinel-2与Landsat 8数据估算的AGB存在一定的差异，低植被覆盖和高植被覆盖区，两种遥感数据估算的AGB差异相对较小；中植被覆盖区，遥感数据受到空间分辨率的制约，空间异质性影响相对显著，两种遥感数据估算的AGB差异较大。高空间分辨率遥感影像对AGB估算精度的提高具有一定效果。

Abstract

[Objective] Differences in above ground biomass (AGB) estimation based on remote sensing images with different spatial resolutions were analyzed

and a basis for the selection of different spatial resolution images for remote sensing estimation of AGB in desert ecosystems was provided.[Methods] Based on a ground-based AGB survey

the AGB-MSAVI statistical model was established by combining Landsat 8 and Sentinel-2 images to estimate AGB in a feldspathic sandstone area by remote sensing

and to analyze the differences between the two estimates in different vegetation coverage areas (high

medium

and low).[Results] Both Landsat 8 and Sentinel-2 images could estimate AGB well

and the spatial distributions of AGB estimation results were consistent. The mean relative errors for the AGB estimation models based on Landsat 8 and Sentinel-2 data were 13.41% and 11.42%

respectively

and the accuracy of AGB estimation based on Sentinel-2 data was relatively higher. There were some differences in AGB estimated by Sentinel-2 and Landsat 8 data in different vegetation coverage areas.[Conclusion] In the low and high vegetation coverage areas

the differences between AGB estimated by Sentinel-2 and Landsat 8 data were relatively small. In contrast

in the medium vegetation coverage area

the spatial heterogeneity was relatively significant

the remote sensing data were constrained by the spatial resolution

and the differences between AGB estimated by the two images were relatively large. The high spatial resolution remote sensing images were effective for improving AGB estimation accuracy.

关键词

Keywords

references

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