首页> 外文OA文献 >Downscaling albedo from moderate-resolution imaging spectroradiometer (MODIS) to advanced space-borne thermal emission and reflection radiometer (ASTER) over an agricultural area utilizing aster visible-near infrared spectral bands
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Downscaling albedo from moderate-resolution imaging spectroradiometer (MODIS) to advanced space-borne thermal emission and reflection radiometer (ASTER) over an agricultural area utilizing aster visible-near infrared spectral bands

机译:在农业地区利用紫visible可见光-近红外光谱带将反照率从中分辨率成像光谱仪(MODIS)缩减为先进的星载热发射和反射辐射仪(ASTER)

摘要

Due to the limitation in spatial and spectral resolution, a few numbers of satellite data are applicable in field scale surface Albedo modeling. ASTER was an alternative for surface energy balance modeling, but since April 2008, shortwave detector has stopped recording due to the high-abnormal-temperature problem. Beside, temporal resolution of ASTER is insufficient for field-scale monitoring of surface parameters. Thus, this study was aimed first; to examine the capability of ASTER VNIR bands in estimation of surface Albedo and second, to downscale Albedo from MODIS to ASTER using Albedo resulted from ASTER VNIR bands. Combination of these two stages is expected to be a solution for field scale monitoring of surface Albedo from MODIS and ASTER data acquired after April 2008. Results confirmed that bands 1 and 3 which is available after April 2008 on ASTER data can be modeled for estimation of surface Albedo with less than 0.024% loss of information where land cover consist of soil and vegetation. From four downscaling methods, namely FSIM, PBIM, wavelet transfer and high pass filter (HPF) examined in this study, we also found that the most precise subpixel estimate were obtained by FSIM downscaling method (R2 = 0.96, RMSE = 0.01); although, the outputs of three other methods were significant.
机译:由于空间和光谱分辨率的限制,一些卫星数据可用于野外尺度表面反照率建模。 ASTER是表面能平衡建模的替代方法,但自2008年4月以来,由于高异常温度问题,短波探测器已停止记录。此外,ASTER的时间分辨率不足以对表面参数进行现场规模的监测。因此,本研究首先针对。检验ASTER VNIR波段估算表面反照率的能力,其次,利用ASTER VNIR波段产生的反照率将反照率从MODIS降低到ASTER。这两个阶段的组合有望成为从MODIS和2008年4月之后获得的ASTER数据进行地表反照率的现场规模监测的解决方案。结果证实,可以对2008年4月之后在ASTER数据上可用的频带1和3进行建模,以估算在土地覆盖包括土壤和植被的情况下,地表反照率的信息损失少于0.024%。通过本研究中考察的四种缩减方法,即FSIM,PBIM,小波转移和高通滤波器(HPF),我们还发现最精确的子像素估计是通过FSIM缩减方法获得的(R2 = 0.96,RMSE = 0.01);但是,其他三种方法的输出也很重要。

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