...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Improvements of the MODIS terrestrial gross and net primary production global data set
【24h】

Improvements of the MODIS terrestrial gross and net primary production global data set

机译：改进了MODIS地面总生产和净初级生产全球数据集

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

MODIS primary production products (MOD 17) are the first regular, near-real-time data sets for repeated monitoring of vegetation primary production on vegetated land at 1-km resolution at an 8-day interval. But both the inconsistent spatial resolution between the gridded meteorological data and MODIS pixels, and the cloud-contaminated MODIS FPAR/LAI (MOD15A2) retrievals can introduce considerable errors to Collection4 primary production (denoted as C4 MOD 17) results. Here, we aim to rectify these problems through reprocessing key inputs to MODIS primary vegetation productivity algorithm, resulting in improved Collection5 MOD17 (here denoted as C5 MOD17) estimates. This was accomplished by spatial interpolation of the coarse resolution meteorological data input and with temporal filling of cloud-contaminated MOD15A2 data. Furthermore, we modified the Biome Parameter Look-Up Table (BPLUT) based on recent synthesized NPP data and some observed GPP derived from some flux tower measurements to keep up with the improvements in upstream inputs. Because MOD17 is one of the down-stream MODIS land products, the performance of the algorithm can be largely influenced by the uncertainties from upstream inputs, such as land cover, FPAR/LAI, the meteorological data, and algorithm itself. MODIS GPP fits well with GPP derived from 12 flux towers over North America. Globally, the 3-year MOD17 NPP is comparable to the Ecosystem Model-Data Intercomparison (EMDI) NPP data set, and global total MODIS GPP and NPP are inversely related to the observed atmospheric CO2 growth rates, and MEI index, indicating MOD 17 are reliable products. From 2001 to 2003, mean global total GPP and NPP estimated by MODIS are 109.29 Pg C/year and 56.02 Pg C/year, respectively. Based on this research, the improved global MODIS primary production data set is now ready for monitoring ecological conditions, natural resources and environmental changes. (c) 2005 Elsevier Inc. All rights reserved.
机译：MODIS初级生产产品（MOD 17）是首批常规，近实时数据集，用于以8天为间隔以1 km的分辨率重复监测植被土地上的植被初级生产。但是，栅格化的气象数据和MODIS像素之间不一致的空间分辨率，以及受云污染的MODIS FPAR / LAI（MOD15A2）检索，都可能给Collection4初级生产（表示为C4 MOD 17）结果带来可观的误差。在这里，我们旨在通过重新处理MODIS原始植被生产力算法的关键输入来纠正这些问题，从而提高Collection5 MOD17（此处表示为C5 MOD17）的估算值。这是通过对粗分辨率气象数据输入进行空间插值并随时间填充云污染的MOD15A2数据来实现的。此外，我们根据最近合成的NPP数据和一些通量塔测量值得出的一些观察到的GPP修改了生物群落参数查找表（BPLUT），以跟上上游输入的改进。由于MOD17是MODIS下游产品之一，因此算法的性能会受到上游输入的不确定性（例如土地覆盖，FPAR / LAI，气象数据和算法本身）的影响。 MODIS GPP非常适合源自北美12个流量塔的GPP。在全球范围内，为期3年的MOD17 NPP与生态系统模型数据比较（EMDI）NPP数据集相当，并且全球总MODIS GPP和NPP与观测到的大气CO2增长率和MEI指数成反比，表明MOD 17为可靠的产品。从2001年到2003年，MODIS估算的全球平均总GPP和NPP分别为109.29 Pg C /年和56.02 Pg C /年。基于这项研究，改进的全球MODIS初级生产数据集现已准备就绪，可以监测生态条件，自然资源和环境变化。 （c）2005 Elsevier Inc.保留所有权利。

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