Comparison of Satellite and Ground-Based Phenology in China's Temperate Monsoon Area

被引:10
作者
Wang, Huanjiong [1 ,2 ]
Dai, Junhu [1 ]
Ge, Quansheng [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
GREEN-UP DATE; TIME-SERIES; SPRING PHENOLOGY; CLIMATE; RESPONSES; MODEL; ONSET; MODIS;
D O I
10.1155/2014/474876
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Continuous satellite datasets are widely used in tracking vegetation responses to climate variability. Start of season (SOS), for example, can be derived using a number of methods from the time series of satellite reflectance data; however, various methods often produce different SOS measures which limit the application of satellite data in phenological studies. Therefore, we employed five methods to estimate SOS from the Advanced Very High Resolution Radiometer (AVHRR)/normalized difference vegetation index (NDVI) dataset. Subsequently, we compared the SOS with the ground-based first leaf date (FLD) of 12 deciduous broadleaved plant species at 12 sites of the Chinese Phenological Observation Network (CPON). The results show that the latitudinal patterns of five satellite-derived SOS measures are similar to each other but different from the pattern of ground phenology. For individual methods, the variability of SOS time series is significantly different from ground phenology except for HANTS, Polyfit, and Midpoint methods. The SOS calculated using the Midpoint method showed significant correlations with ground phenophases most frequently (in 47.1% of cases). Using the SOS derived from the Midpoint method, significantly earlier trends in SOS were detected in 50.7% of the natural vegetation area from 1982 to 2006.
引用
收藏
页数:10
相关论文
共 41 条
  • [1] Responses of spring phenology to climate change
    Badeck, FW
    Bondeau, A
    Böttcher, K
    Doktor, D
    Lucht, W
    Schaber, J
    Sitch, S
    [J]. NEW PHYTOLOGIST, 2004, 162 (02) : 295 - 309
  • [2] Barr Alan, 2009, P3, DOI 10.1007/978-1-4419-0026-5_1
  • [3] A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
    Chen, J
    Jönsson, P
    Tamura, M
    Gu, ZH
    Matsushita, B
    Eklundh, L
    [J]. REMOTE SENSING OF ENVIRONMENT, 2004, 91 (3-4) : 332 - 344
  • [4] Shifting plant phenology in response to global change
    Cleland, Elsa E.
    Chuine, Isabelle
    Menzel, Annette
    Mooney, Harold A.
    Schwartz, Mark D.
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (07) : 357 - 365
  • [5] Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis
    Cong, Nan
    Wang, Tao
    Nan, Huijuan
    Ma, Yuecun
    Wang, Xuhui
    Myneni, Ranga B.
    Piao, Shilong
    [J]. GLOBAL CHANGE BIOLOGY, 2013, 19 (03) : 881 - 891
  • [6] Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis
    Cong, Nan
    Piao, Shilong
    Chen, Anping
    Wang, Xuhui
    Lin, Xin
    Chen, Shiping
    Han, Shijie
    Zhou, Guangsheng
    Zhang, Xinping
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2012, 165 : 104 - 113
  • [7] Green leaf phenology at Landsat resolution: Scaling from the field to the satellite
    Fisher, JI
    Mustard, JF
    Vadeboncoeur, MA
    [J]. REMOTE SENSING OF ENVIRONMENT, 2006, 100 (02) : 265 - 279
  • [8] Advances in first bloom dates and increased occurrences of yearly second blooms in eastern China since the 1960s: further phenological evidence of climate warming
    Ge, Quansheng
    Dai, Junhu
    Zheng, Jingyun
    Bai, Jie
    Zhong, Shuying
    Wang, Huanjiong
    Wang, Wei-Chyung
    [J]. ECOLOGICAL RESEARCH, 2011, 26 (04) : 713 - 723
  • [9] Use of digital cameras for phenological observations
    Ide, Reiko
    Oguma, Hiroyuki
    [J]. ECOLOGICAL INFORMATICS, 2010, 5 (05) : 339 - 347
  • [10] Seasonality extraction by function fitting to time-series of satellite sensor data
    Jönsson, P
    Eklundh, L
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (08): : 1824 - 1832