Narrowband bio-indicator monitoring of temperate forest carbon fluxes in northeastern China
文献类型：EI期刊论文
| 作者 | Yu Quanzhou; Wang Shaoqiang ; Mickler Robert A.; Huang Kun; Zhou Lei; Yan Huimin; Chen Diecong; Han Shijie
|
| 发表日期 | 2014 |
| 关键词 | Remote Sensing |
| 英文摘要 | Developments in hyperspectral remote sensing techniques during the last decade have enabled the use of narrowband indices to evaluate the role of forest ecosystem variables in estimating carbon (C) fluxes. In this study, narrowband bio-indicators derived from EO- 1 Hyperion data were investigated to determine whether they could capture the temporal variation and estimate the spatial variability of forest C fluxes derived from eddy covariance tower data. Nineteen indices were divided into four categories of optical indices: broadband, chlorophyll, red edge, and light use efficiency. Correlation tests were performed between the selected vegetation indices, gross primary production (GPP), and ecosystem respiration (Re). Among the 19 indices, five narrowband indices (Chlorophyll Index RedEdge 710, scaled photochemical reflectance index (SPRI)*enhanced vegetation index (EVI), SPRI*normalized difference vegetation index (NDVI), MCARI/OSAVI[705, 750] and the Vogelmann Index), and one broad band index (EVI) had R-squared values with a good fit for GPP and Re. The SPRI*NDVI has the highest significant coefficients of determination with GPP and Re (R2 = 0.86 and 0.89, p < 0.0001, respectively). SPRI*NDVI was used in atmospheric inverse modeling at regional scales for the estimation of C fluxes. We compared the GPP spatial patterns inversed from our model with corresponding results from the Vegetation Photosynthesis Model (VPM), the Boreal Ecosystems Productivity Simulator model, and MODIS MOD17A2 products. The inversed GPP spatial patterns from our model of SPRI*NDVI had good agreement with the output from the VPM model. The normalized difference nitrogen index was well correlated with measured C net ecosystem exchange. Our findings indicated that narrowband bio-indicators based on EO-1 Hyperion images could be used to predict regional C flux variations for Northeastern China's temperate broad-leaved Korean pine forest ecosystems. |
| 出处 | Remote Sensing
 |
| 卷 | 6期:9页:8986-9013 |
| 源URL | [http://192.168.22.105/handle/311030/31427]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心 |
| 推荐引用方式 GB/T 7714 | Yu Quanzhou,Wang Shaoqiang,Mickler Robert A.,et al. Narrowband bio-indicator monitoring of temperate forest carbon fluxes in northeastern China. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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