首页> 外文期刊>Journal of Applied Meteorology >An improved method to derive surface albedo from narrowband AVHRR satellite data: narrowband to broadband conversion
【24h】

An improved method to derive surface albedo from narrowband AVHRR satellite data: narrowband to broadband conversion

机译:一种从窄带AVHRR卫星数据推导地表反照率的改进方法:窄带到宽带的转换

获取原文
获取原文并翻译 | 示例
           

摘要

A method was investigated to estimate broadband surface shortwave albedo from the narrowband refiectances obtained by the Advanced Very High Resolution Radiometers (AVHRRs) on board the polar orbiting satellites. Field experiments were conducted to measure simultaneously multispectral narrowband refiectances and broadband albedo over various vegetation and soil surfaces. These data were combined to examine the behavior of narrowband-to-broadband (NTB) conversion factors for different surfaces. Many previous studies have used constant NTB conversion factors for the AVHRR data. The results from this investigation indicate that the optimal NTB conversion factors for AVHRR channels I and 2 have a strong dependence on the amount of green vegetation within the field of view. Two conversion factors, f_1 and f_2, were established to quantify, respectively, I) the relationship between the reflectance in the narrow red wave band and the total refiectance within the whole visible subregion (0.3-O.685 #mu#m) and 2) the relationship between the reflectance in the narrow near- infrared wave band and the total reflectance within the whole near-infrared subregion (0.695-2.8 #mu#m). Values of f_1 and f_2, calculated from field data, correlated well with the normalized difference vegetation index (NDVI), largely because of the unique characteristics of light absorption and scattering within the red and near-infrared wave bands by green leaves. The f_1-NDVI and f_2-NDVI relationships developed from this study were used to infer empirical coefficients needed to estimate surface albedo from AVHRR data. The surface alhedo values calculated by the new method agreed with ground-based measurements within a root-mean-square error of 0.02, which is better than other methods that use constant empirical coefficients. Testing with albedo measurements made by unmanned aerospace vehicles during a field campaign also indicates that the new method provides an improved estimate of surface albedo.
机译:研究了一种方法,该方法根据极地轨道卫星上的超高分辨率高分辨率辐射计(AVHRR)获得的窄带反射率估算宽带表面短波反照率。进行了野外实验,以同时测量各种植被和土壤表面的多光谱窄带反射率和宽带反照率。组合这些数据以检查不同表面的窄带到宽带(NTB)转换因子的行为。先前的许多研究都将恒定的NTB转换因子用于AVHRR数据。这项调查的结果表明,用于AVHRR通道I和2的最佳NTB转换因子对视野内绿色植被的数量有很大的依赖性。建立了两个转换因子f_1和f_2来分别量化:I)窄红波带的反射率与整个可见子区域(0.3-O.685#mu#m)的总反射率之间的关系,2 )在狭窄的近红外波段的反射率与整个近红外子区域(0.695-2.8#mu#m)中的总反射率之间的关系。从野外数据计算得出的f_1和f_2值与归一化植被指数(NDVI)很好地相关,这在很大程度上是由于绿叶在红色和近红外波段内的光吸收和散射的独特特征。根据这项研究开发的f_1-NDVI和f_2-NDVI关系用于推断从AVHRR数据估算表面反照率所需的经验系数。通过新方法计算出的表面alhedo值与基于地面的测量值相吻合,均方根误差为0.02,这比使用恒定经验系数的其他方法要好。在野战期间对无人航天器进行的反照率测量测试也表明,该新方法可提供对地表反照率的改进估算。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号