...
首页> 外文期刊>Physics and chemistry of the earth >Estimating vegetation productivity of urban regions using sun-induced chlorophyll fluorescence data derived from the OCO-2 satellite
【24h】

Estimating vegetation productivity of urban regions using sun-induced chlorophyll fluorescence data derived from the OCO-2 satellite

机译:利用源自OCO-2卫星的叶绿素荧光数据估算城市地区植被生产率

获取原文
获取原文并翻译 | 示例
           

摘要

Sun-induced chlorophyll fluorescence (SIF) is a byproduct of plant photosynthesis, considered to be an indicator of photosynthetic activity. It has been found in literature that there is a linear statistical relationship between vegetation gross primary productivity (GPP) and SIF in different kinds of plants, which provides a more convenient method for GPP estimation. The new high-resolution SIF data derived from the OCO-2 satellite provide an accurate method for the study of urban vegetation growth at urban scale. In this work, we analyzed the feasibility of using OCO-2 SIF data to estimating urban vegetation GPP. First, we explored the potential of using SIF to monitor vegetation growth in urban areas. The global coverage of OCO-2 SIF in space and time was also explored. The value of OCO-2 SIF varied seasonally and was consistent with changes in vegetation growth. We also found that SIF can more efficiently reflect the true growth status of vegetation than of NDVI in urban areas. Second, we explored the relationships between vegetation GPP measured at flux observation stations and OCO-2 SIF data. In specific, we used GPP data from flux observation stations to match OCO-2 SIF in time and established the statistical relationships between vegetation GPP and OCO-2 SIF. Based on our analysis, the statistical relationships between GPP and SIF were established for different vegetation types. In the study, we estimated vegetation GPP in the urban region of the Pearl River Delta, China, using statistical relationships between GPP and SIF. The results showed that vegetation GPP estimated using the high-resolution OCO-2 SIF can show spatial details of vegetation productivity in urban regions and temporal variations of vegetation growth. In conclusion, the method of using OCO-2 SIF to estimate GPP established in this study could provide support for the study of vegetation productivity in urban regions around the world.
机译:Sun诱导的叶绿素荧光(SIF)是植物光合作用的副产物,被认为是光合活性的指标。在文献中已经发现,植被初级生产率(GPP)和不同种类植物中的SIF之间存在线性统计关系,为GPP估计提供了更方便的方法。来自OCO-2卫星的新型高分辨率SIF数据提供了一种准确的城市植被在城市规模上进行了研究的准确方法。在这项工作中,我们分析了使用OCO-2 SIF数据来估算城市植被GPP的可行性。首先,我们探讨了使用SIF监测城市地区植被生长的潜力。还探讨了OCO-2 SIF在空间和时间的全球覆盖范围。 OCO-2 SIF的值季节性变化,并且与植被生长的变化一致。我们还发现,SIF可以更有效地反映植被的真正增长状态,而不是城市地区的NDVI。其次,我们探讨了在助焊剂观察站和OCO-2 SIF数据中测量的植被GPP之间的关系。具体而言,我们使用来自助焊剂观察站的GPP数据,以匹配OCO-2 SIF及时并建立植被GPP和OCO-2 SIF之间的统计关系。基于我们的分析,为不同植被类型建立了GPP和SIF之间的统计关系。在研究中,我们在中国珠江三角洲城市地区估计了植被GPP,使用GPP和SIF之间的统计关系。结果表明,使用高分辨率OCO-2 SIF估计的植被GPP可以显示城市地区植被生产率的空间细节和植被生长的时间变化。总之,使用OCO-2 SIF来估计本研究中的GPP的方法可以为世界各地城市地区的植被生产力研究提供支持。

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