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Assessment of spectral vegetation indices for estimating vegetation cover in arid and semiarid shrublands

机译:评估干旱和半干旱灌木丛植被覆盖度的光谱植被指数

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摘要

Forty four spectral vegetation indices based on Enhanced Thematic Mapper Plus (ETM+) data were compared for predicting vegetation cover in Nodushan arid and semi arid shrublands. The efficiency of the indices was evaluated based on calculating the critical error, power of prediction and the prediction interval for the error. MSAVI, TDVI, TVI, CTVI, NDVI, NRVI, IPVI, MND, TTVI, MSR and SRI provided the most accurate estimate of the vegetation cover with an error of less than 10%. MSAVI and TDVI had the lowest critical error (9.3%). The indices based on only near infrared and red bands gave the most accurate prediction of vegetation cover followed by the indices based on only near infrared and green bands (critical error of 10.7-11%), while the indices that use blue and/or shortwave infrared, or only visible (B-G-R) bands provided the least accurate estimate of the vegetation cover (critical error of 25-84%).
机译:比较了基于增强主题映射器(ETM +)数据的44种光谱植被指数,以预测Nodushan干旱和半干旱灌丛的植被覆盖率。基于计算临界误差,预测功效和误差预测间隔来评估指标的效率。 MSAVI,TDVI,TVI,CTVI,NDVI,NRVI,IPVI,MND,TTVI,MSR和SRI提供了最准确的植被覆盖率估计值,误差小于10%。 MSAVI和TDVI的临界误差最低(9.3%)。仅基于近红外和红色波段的指数给出了最准确的植被覆盖率预测,其次是仅基于近红外和绿色波段的指数(临界误差为10.7-11%),而使用蓝色和/或短波的指数红外或仅可见(BGR)波段提供的植被覆盖率估计最不准确(临界误差为25-84%)。

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