Estimation of grassland biophysical variables for Lake Qinghai watershed: Moving towards remote sensing products
作者： Changming Yin , Binbin He , Xingwen Quan , Xueting Zhang , Jinsong Ge
DOI: 10.1109/IGARSS.2017.8127750
关键词:
摘要: In this study, an alpine watershed was selected, and four kinds of biophysical parameters (Leaf Area Index, LAI; Canopy Water Content, CWC; Chlorophyll CCC; Fractional Vegetation Cover, FVC) were retrieved their products generated at the regional scale from 2013 to 2014. PROSAIL radiative transfer model modified mixed sub pixel used estimate these based on Landsat 8 OLI surface reflectance data. The results suggested that estimated yielded a promising accuracy compared with ground measurements. inter-partition statistic also conducted by analyzing grassland peak growing season (July August), confirmed pasture yield water stress condition in Lake Qinghai 2014 is better than 2013.
sci-hub.se 参考文章(11)
Xingwen Quan, Binbin He, Xing Li, A Bayesian Network-Based Method to Alleviate the Ill-Posed Inverse Problem: A Case Study on Leaf Area Index and Canopy Water Content Retrieval IEEE Transactions on Geoscience and Remote Sensing. ,vol. 53, pp. 6507- 6517 ,(2015) , 10.1109/TGRS.2015.2442999
W. Verhoef, Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model Remote Sensing of Environment. ,vol. 16, pp. 125- 141 ,(1984) , 10.1016/0034-4257(84)90057-9
Yonghua Qu, Jindi Wang, Huawei Wan, Xiaowen Li, Guoqing Zhou, A Bayesian network algorithm for retrieving the characterization of land surface vegetation Remote Sensing of Environment. ,vol. 112, pp. 613- 622 ,(2008) , 10.1016/J.RSE.2007.03.031
Roshanak Darvishzadeh, Andrew Skidmore, Martin Schlerf, Clement Atzberger, Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland Remote Sensing of Environment. ,vol. 112, pp. 2592- 2604 ,(2008) , 10.1016/J.RSE.2007.12.003
Zhe Zhu, Curtis E. Woodcock, Pontus Olofsson, Continuous monitoring of forest disturbance using all available Landsat imagery Remote Sensing of Environment. ,vol. 122, pp. 75- 91 ,(2012) , 10.1016/J.RSE.2011.10.030
S. Jacquemoud, F. Baret, PROSPECT: A model of leaf optical properties spectra Remote Sensing of Environment. ,vol. 34, pp. 75- 91 ,(1990) , 10.1016/0034-4257(90)90100-Z
E. F. Vermote, N. El Saleous, C. O. Justice, Y. J. Kaufman, J. L. Privette, L. Remer, J. C. Roger, D. Tanré, Atmospheric correction of visible to middle-infrared EOS-MODIS data over land surfaces: Background, operational algorithm and validation Journal of Geophysical Research: Atmospheres. ,vol. 102, pp. 17131- 17141 ,(1997) , 10.1029/97JD00201
Nan Cong, Tao Wang, Huijuan Nan, Yuecun Ma, Xuhui Wang, Ranga B. Myneni, Shilong Piao, Changes in satellite‐derived spring vegetation green‐up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis Global Change Biology. ,vol. 19, pp. 881- 891 ,(2013) , 10.1111/GCB.12077
G. Gutman, A. Ignatov, The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models International Journal of Remote Sensing. ,vol. 19, pp. 1533- 1543 ,(1998) , 10.1080/014311698215333
Changming Yin, Binbin He, Xingwen Quan, Zhanmang Liao, Chlorophyll content estimation in arid grasslands from Landsat-8 OLI data Journal of remote sensing. ,vol. 37, pp. 615- 632 ,(2016) , 10.1080/01431161.2015.1131867