黑龙江科技大学学报2024,Vol.34Issue(5) :688-693.DOI:10.3969/j.issn.2095-7262.2024.05.005

不同植被指数反演植被覆盖度的真实性检验及对比分析

Validation and comparative analysis of fractional vegetation cover inverted by different vegetation indexes

赵威成
黑龙江科技大学学报2024,Vol.34Issue(5) :688-693.DOI:10.3969/j.issn.2095-7262.2024.05.005

不同植被指数反演植被覆盖度的真实性检验及对比分析

Validation and comparative analysis of fractional vegetation cover inverted by different vegetation indexes

赵威成1
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作者信息

  • 1. 黑龙江科技大学 矿业工程学院,哈尔滨 150022
  • 折叠

摘要

针对NDVI的饱和特性对植被覆盖度估算产生负影响的问题,使用DVI推导植被覆盖度反演模型,利用相对真值进行检验,并从统计指标、地形影响和不同覆盖度影响对比了2 种反演模型的精度.结果表明:真实性检验必须克服尺度效应的影响,fNDVI、fDVI不适用于高植被覆盖度地区;基于DVI的像元二分模型反演结果显示,fDVI总体精度 56.55%优于fNDVI总体精度 49.68%,结果的鲁棒性更好.

Abstract

This paper intends to address the negative impact of saturation characteristics of NDVI on the estimation of vegetation coverage.The study is focused on the efforts to derive a vegetation coverage inversion model by DVI and test it by relative truth values,and compare the accuracy of the two inversion models from three aspects:statistical index,terrain influence and different coverage influences.The re-sults show that the authenticity test must overcome the impact of scale effects,fNDVI and fDVI are not suit-able for high vegetation coverage areas;according to DVI inversion results,the overall accuracy of fDVI is 56.55%,which is better than that of fNDVI by 49.68%,and the robustness is better.

关键词

归一化植被指数/差值植被指数/像元二分模型/真实性检验/植被覆盖度

Key words

NDVI/DVI/pixel dichotomy model/validation/fractional vegetation cover

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出版年

2024
黑龙江科技大学学报
黑龙江科技学院

黑龙江科技大学学报

CSTPCD
影响因子:0.348
ISSN:2095-7262
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