利用AVIRIS图像和MODIS反射率产品估算冠层含水量

Yen-Ben Cheng, D. Riaño, P. Zarco-Tejada, S. Ustin
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引用次数: 2

摘要

我们评估了AVIRIS和MODIS估算冠层含水量的能力。在亚利桑那州东南部半干旱地区,利用AVIRIS数据(EWT)获取的高光谱水分与原位叶片含水量和LAI测量值进行了比较。EWT反演值与野外冠层含水量测量值具有良好的相关性。统计分析还表明,EWT在7个不同植被群落间具有显著性。利用反射率乘积得到4个MODIS指数,并将其与半干旱地点和温带针叶林的EWT与AVIRIS的检索结果进行了比较。在热带稀树草原灌木群落半干旱区,AVIRIS EWT与MODIS 4个指数均具有良好的统计一致性。森林样地的相关性稍差,水分指数比植被指数与AVIRIS EWT的相关性好。除杂酚灌木和农业外,其余半干旱植被群落4项指数的时间格局均表现出明显的季节变化,并对热带稀树草原立地降水有响应。通过与MODIS指数时间序列的比较,研究了森林立地3年的净生态系统交换(NEE)数据。MODIS水分指数表现出与NEE相似的季节特征,在净固碳期最强。相比之下,MODIS植被指数的时间序列与NEE的关系并不好。
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Canopy water content estimates with AVIRIS imagery and MODIS reflectance products
We assessed the capability of AVIRIS and MODIS to estimate canopy water content. Hyperspectral water retrievals with AVIRIS data, EWT, were compared to in situ leaf water content and LAI measurements at a semi-arid site in southeastern Arizona. Retrievals of EWT showed good correlation with field canopy water content measurements. Statistical analysis also suggested that EWT was significant among seven different vegetation communities. Four MODIS indexes derived from band ratios using the reflectance product and were compared to retrievals of EWT with AVIRIS at both the semi-arid site and a temperate conifer forest. Good statistical agreements were found between AVIRIS EWT and all four MODIS indexes at the semi-arid site in savanna shrub communities. Slightly poorer correlations were found at the forest site where water indexes had better correlation to AVIRIS EWT than vegetation indexes. Temporal patterns of the four indexes in all semi-arid vegetation communities except creosote bush and agriculture show distinct seasonal variation and responded to precipitation at the savanna site. Three years of net ecosystem exchange (NEE) data from eddy covariance measurements at the forest site were compared to the time series of MODIS indexes. MODIS water indexes showed similar seasonal patterns to NEE that were strongest during the period of net carbon sequestration. In contrast, the time series of MODIS vegetation indexes did not yield a good relationship to NEE.
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