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搜索结果: 1-11 共查到知识库 MISR相关记录11条 . 查询时间(0.062 秒)
EOS/MODIS land surface Bi-directional Reflectance Distribution Function (BRDF) product (MCD43), with the latest version C6, is one of the most important operational BRDF products with global coverage....
MISR (Multiangle Imaging SpectroRadiometer) is an instrument on the EOS Terra platform, which takes data at nine view angles ranging from 70 deg forward to 70 deg aftward in spectral bands centered a...
The capability of the non-linear Rahman-Pinty-Verstraete (RPV) model to 1) accurately fit a large variety of Bidirectional Reflectance Factor (BRF) fields and 2) return parameter values of interest f...
The operational aerosol product of the Multi-angle Imaging SpectroRadiometer (MISR) is available only for a grid cell size of 17.6 km. This spatial resolution is too coarse for studies in complex ter...
This  paper  focuses  on  the  validation  aspect  of  the  geometric  calibration  approach  as  implemented for  the M...
In order to facilitate a unique georectification approach implemented for Multi-angle Imaging SpectroRadiometer (MISR) data, a specific calibration datasets need to be derived during flight. In the c...
An automatic tie-point (TP) detection algorithm for multi-image triangulation and registration is described. The algorithm uses a hierarchical approach that leads from the initial extraction of local ...
通过对比2006~2009年, 搭载在Terra卫星上的中分辨率成像光谱仪(MODIS)和多角度成像光谱仪(MISR)传感器与我国北方4个地面AERONET站点观测的气溶胶光学厚度AOD(aerosol optical depth), 发现在SACOL站和北京站, MISR反演的气溶胶光学厚度优于MODIS; 在香河站和兴隆站, MODIS反演的气溶胶光学厚度优于MISR. 总体上, MISR反演...
Atmospheric aerosols can cause serious damage to human health and life expectancy. Using the radiances observed by NASA's Multi-angle Imaging SpectroRadiometer (MISR), the current MISR operational alg...
Using the ten-year (2000–2009) Data-Assimilation (DA) quality Terra MODIS and MISR aerosol products, as well as 7 years of Aqua MODIS, we studied both regional and global aerosol trends over oceans. T...
多光谱传感器MODIS与多角度传感器MISR同时搭载在美国EOS观测计划的Terra卫星上,不同的观测方式使得两个传感器的数据组合后形成互补的多光谱多角度观测数据集,为地表参数的遥感估算提供了更多的对地观测信息。该文通过研究组合MODISMISR两种观测数据估算陆地表面植被覆盖区域叶面积指数的方法,发展了在物理模型反演的框架内引入基于伴随模型和信赖域优化的反演模式,改进了叶面积指数的遥感估算效果...

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