A VEGETATION PHENOLOGY MODEL FOR FRACTIONAL VEGETATION COVER RETRIEVAL USING TIME SERIES DATA

被引:2
|
作者
Liu, Yaokai [1 ]
Mu, Xihan
Qian, Yonggang [1 ]
Tang, Lingli [1 ]
Li, Chuanrong [1 ]
机构
[1] Chinese Acad Sci, Acad Optoelect, Beijing 100094, Peoples R China
关键词
Fractional vegetation cover; NDVI; Vegetation phenology; Time serious; DERIVATION;
D O I
10.1109/IGARSS.2012.6350588
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fractional vegetation cover (FVC) is a major biophysical parameter in earth surface system. In this paper, FVC is retrieved with a simple linear model between FVC and Normalized Difference Vegetation Index (NDVI). However, the parameters NDVI infinity and NDVI0, corresponding to the values of NDVI for bare soil and full vegetation covered surface, used in the simple model are estimated with a vegetation phenology model using time series MODIS NDVI data. The results of the estimated FVC with our proposed method in the study area have been showed in the results section, which is compared with the FVC estimated with a single date MODIS NDVI data. Validation has also been proved that the retrieved FVC has a good agreement with the ground-measured truth FVC.
引用
收藏
页码:3339 / 3342
页数:4
相关论文
共 50 条
  • [21] Forest classification based on MODIS time series and vegetation phenology
    Yu, XF
    Zhuang, DF
    Chen, H
    Hou, XY
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 2369 - 2372
  • [22] A model for the estimation of fractional vegetation cover based on the relationship between vegetation and soil moisture
    Li, Xiaobing
    Wang, Hong
    Long, Huiling
    Wei, Dandan
    Bao, Yun
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (11) : 3580 - 3595
  • [23] Impacts of snow cover on vegetation phenology in the arctic from satellite data
    Zeng Heqing
    Jia Gensuo
    ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 30 (05) : 1421 - 1432
  • [24] Land surface phenology from SPOT VEGETATION time series
    Verger, A.
    Filella, I
    Baret, F.
    Penuelas, J.
    REVISTA DE TELEDETECCION, 2016, (47): : 1 - 11
  • [25] Quantification of Alpine Grassland Fractional Vegetation Cover Retrieval Uncertainty Based on Multiscale Remote Sensing Data
    Lin, Xingchen
    Chen, Jianjun
    Lou, Peiqing
    Yi, Shuhua
    Zhou, Guoqing
    You, Haotian
    Han, Xiaowen
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [26] Fractional vegetation cover estimation in heterogeneous areas by combining a radiative transfer model and a dynamic vegetation model
    Tu, Yixuan
    Jia, Kun
    Liang, Shunlin
    Wei, Xiangqin
    Yao, Yunjun
    Zhang, Xiaotong
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2020, 13 (04) : 487 - 503
  • [27] Using a Vegetation Index-Based Mixture Model to Estimate Fractional Vegetation Cover Products by Jointly Using Multiple Satellite Data: Method and Feasibility Analysis
    Song, Wanjuan
    Zhao, Tian
    Mu, Xihan
    Zhong, Bo
    Zhao, Jing
    Yan, Guangjian
    Wang, Li
    Niu, Zheng
    FORESTS, 2022, 13 (05):
  • [28] Retrieval of Cropping Index in China Using Time Series of SPOT Vegetation NDVI
    Fan, Jinlong
    Huang, Jianxi
    Zhang, Mingwei
    SENSOR LETTERS, 2013, 11 (6-7) : 1134 - 1140
  • [29] A STUDY OF VEGETATION PHENOLOGY IN THE ANALYSIS OF URBANIZATION PROCESS BASED ON TIME-SERIES MODIS DATA
    Tao, Jianbin
    Kong, Xiangbing
    Wang, Yu
    Chen, Ruiqing
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2826 - 2829
  • [30] Evaluation of the Vegetation-Index-Based Dimidiate Pixel Model for Fractional Vegetation Cover Estimation
    Yan, Kai
    Gao, Si
    Chi, Haojing
    Qi, Jianbo
    Song, Wanjuan
    Tong, Yiyi
    Mu, Xihan
    Yan, Guangjian
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60