闫凯等:Generating Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation
被阅读 158 次
2018-04-26
Generating Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation
作者:Yan, K (Yan, Kai)[ 1 ] ; Park, T (Park, Taejin)[ 2 ] ; Chen, C (Chen, Chi)[ 2 ] ; Xu, BD (Xu, Baodong)[ 2 ] ; Song, WJ (Song, Wanjuan)[ 1 ] ; Yang, B (Yang, Bin)[ 3 ] ; Zeng, YL (Zeng, Yelu)[ 4 ] ; Liu, Z (Liu, Zhao)[ 1 ] ; Yan, GJ (Yan, Guangjian)[ 1 ] ; Knyazikhin, Y (Knyazikhin, Yuri)[ 2 ] ; Myneni, RB (Myneni, Ranga B.)[ 2 ] 
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷: 56  期: 4  页: 2119-2137
DOI: 10.1109/TGRS.2017.2775247
出版年: APR 2018
文献类型:Article
 
摘要
Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation have been successfully generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) data since early 2000. As the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard, the Suomi National Polar-orbiting Partnership (SNPP) has inherited the scientific role of MODIS, and the development of a continuous, consistent, and well-characterized VIIRS LAI/FPAR data set is critical to continue the MODIS time series. In this paper, we build the radiative transfer-based VIIRS-specific lookup tables by achieving minimal difference with the MODIS data set and maximal spatial coverage of retrievals from the main algorithm. The theory of spectral invariants provides the configurable physical parameters, i.e., single scattering albedos (SSAs) that are optimized for VIIRS-specific characteristics. The effort finds a set of smaller red-band SSA and larger near-infraredband SSA for VIIRS compared with the MODIS heritage. The VIIRS LAI/FPAR is evaluated through comparisons with one year of MODIS product in terms of both spatial and temporal patterns. Further validation efforts are still necessary to ensure the product quality. Current results, however, imbue confidence in the VIIRS data set and suggest that the efforts described here meet the goal of achieving the operationally consistent multisensor LAI/FPAR data sets. Moreover, the strategies of parametric adjustment and LAI/FPAR evaluation applied to SNPP-VIIRS can also be employed to the subsequent Joint Polar Satellite System VIIRS or other instruments.
 
通讯作者地址: Yan, GJ (通讯作者)
Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
通讯作者地址: Park, T (通讯作者)
Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA.
地址:
[ 1 ] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
[ 3 ] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
[ 4 ] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA