【摘要】：基于Landsat 8遙感影像數(shù)據(jù),以西藏日喀則經(jīng)南木林到申扎縣的一條樣帶高寒草原作為研究對象,選擇較為常用的歸一化植被指數(shù)(normalized difference vegetation index,NDVI)、土壤調(diào)整植被指數(shù)(soil adjusted vegetation index,SAVI)、修改型土壤調(diào)整植被指數(shù)(modified soil adjusted vegetation index,MSAVI)以及對半干旱區(qū)低覆蓋植被信息較為敏感的轉(zhuǎn)換型土壤調(diào)整植被指數(shù)(transformational soil adjusted vegetation index,TSAVI),結(jié)合地表反射率改進(jìn)運(yùn)算的FCD模型(forest canopy density mapping model)裸土(bare soil index,BI)和陰影指數(shù)(shadow index,SI)構(gòu)建適合低植被覆蓋區(qū)域的復(fù)合植被指數(shù)(vegetation bare shadow index,VBSI);基于各植被指數(shù)構(gòu)建像元二分模型,定量反演高寒草原植被蓋度;并利用網(wǎng)格法實(shí)測的植被蓋度分析反演精度。研究結(jié)果表明,8種植被指數(shù)所構(gòu)建的像元二分模型對高寒草原植被蓋度的反演精度以VBSI(TSAVI)最高,反演精度為85.66%;并證明了基于野外采集的土壤光譜曲線獲取的TSAVI所構(gòu)建的像元二分模型對高寒草原植被蓋度信息的提取具有一定的實(shí)用性;改進(jìn)運(yùn)算的FCD模型裸土和陰影指數(shù)能較好地削弱土壤和陰影對植被信息的影響,所構(gòu)建的復(fù)合植被指數(shù)對提取稀疏高寒草原植被蓋度信息具有重要的實(shí)際意義。
[Abstract]:Based on the remote sensing image data of Landsat 8, the alpine steppe in a sample belt from Xigaze, Tibet, through Nanmu Lin to Shenza County, was taken as the research object. Select normalized vegetation index (normalized difference vegetation index,NDVI), soil adjustment vegetation index (soil adjusted vegetation index,SAVI), modified soil adjustment vegetation index (modified soil adjusted vegetation index,MSAVI) and conversion soil which are sensitive to low cover vegetation information in semi-arid area. Adjust vegetation index (transformational soil adjusted vegetation index,TSAVI), combine FCD model (forest canopy density mapping model) bare soil (bare soil index,BI) and shadow index (shadow index,SI) to construct compound vegetation index (vegetation bare shadow index,VBSI). Exponential construction of pixel dichotomy model, Quantitative inversion of vegetation coverage of alpine steppe, and analysis of inversion accuracy of vegetation coverage measured by grid method. The results show that VBSI (TSAVI) is the most accurate model for inversion of vegetation coverage in alpine steppe. The accuracy of inversion is 85.66, and it is proved that the pixel dichotomy model constructed by TSAVI based on the soil spectral curve obtained from field data is practical for extracting vegetation coverage information of alpine steppe. The improved FCD model of bare soil and shadow index can weaken the influence of soil and shadow on vegetation information. The constructed composite vegetation index is of great practical significance in extracting vegetation coverage information of sparse alpine steppe.
【作者單位】： 中國科學(xué)院水利部成都山地災(zāi)害與環(huán)境研究所;中國科學(xué)院大學(xué);西南交通大學(xué)地球科學(xué)與環(huán)境工程學(xué)院;
【基金】：中國科學(xué)院戰(zhàn)略性先導(dǎo)科技專項(xiàng)(B類)(XDB03030505)
【分類號】：S812

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