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Ground and space spectral measurements for assessing the semi-arid ecosystem phenology related to CO2 fluxes of biological soil crusts

机译:地面和空间光谱测量,用于评估与生物土壤结皮的CO2通量有关的半干旱生态系统物候

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This paper reports oil ranges of carbon dioxide (CO,) activity in biological soil crusts (BSC) correlated with different ranges of the BSC's spectral reflectance throughout the Phenological cycle of the year. Methodology is based oil surface CO2 exchange measurements, ground spectral measurements, and satellite images interpretation. Thirty-nine field campaigns, each of duration of 3 days, were conducted over the Course of 2 years at a sand duties and a loess environment of the northwestern Negev desert in Israel, in order to relate the CO2 fluxes and the spectral signals to the seasonal phenology. The Normalized Difference Vegetation Index (NDVI) was derived from ground measurements of the BSC's reflectance and correlated with their CO2 exchange data. A linear mixture model, incorporating the different contributions of the sites' ground features, was calculated and compared with SPOT-HRV data. From the ground measurements, fairly good correlations were found between the NDVI and the CO, fluxes oil a seasonal scale. Hence, the NDVI successfully indicates the potential magnitude and capacity of the BSC's assimilation activity. The linear mixture model Successfully describes the phenological cycles of the BSC, annual, and perennial plants and corresponds well to the satellite data. Moreover, the model enables annual changes of the phenology cycle and the growing season length to be distinguished. Both the linear mixture model and the derived NDVI values recorded the recovery of the BSC at the beginning of the wet season before annuals had germinated. Finally, it is concluded that a combination of CO, exchange measurements, linear mixture model, and NDVI values is suitable for monitoring BSC's productivity in and regions. (c) 2005 Elsevier Inc. All rights reserved.
机译:本文报告了一年中整个物候周期中生物土壤结皮(BSC)中二氧化碳(CO,)活性的石油范围与BSC光谱反射率的不同范围相关。方法学是基于油面CO2交换测量,地面光谱测量和卫星图像解释。为期2年,在以色列西北内盖夫沙漠的黄土环境和黄土环境下,进行了为期3天的三十九场野战,目的是将CO2通量和光谱信号与季节性物候。归一化植被指数(NDVI)来自BSC反射率的地面测量值,并与它们的CO2交换数据相关。计算了一个线性混合模型,其中包含了场地地面特征的不同贡献,并与SPOT-HRV数据进行了比较。从地面测量结果来看,NDVI和一氧化碳与通量之间存在相当良好的相关性,通量可以反映出季节性尺度。因此,NDVI成功表明了BSC同化活动的潜在幅度和能力。线性混合模型成功地描述了BSC,一年生和多年生植物的物候周期,并且与卫星数据非常吻合。此外,该模型可以区分物候周期的年度变化和生长季节的长度。线性混合模型和导出的NDVI值都记录了在一年生植物发芽之前的雨季开始时BSC的恢复。最后,得出的结论是,CO,交换测量值,线性混合物模型和NDVI值的组合适用于监视BSC在该地区和该地区的生产率。 (c)2005 Elsevier Inc.保留所有权利。

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