Long-term (2003-2017) Trends of Vegetation Condition Index (VCI) in Guangdong Using Modis Data and Implications for Drought Assessment

被引:0
|
作者
Li, Weijiao [1 ,2 ]
Wang, Yunpeng [1 ]
机构
[1] Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
D O I
暂无
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
Drought will affect ecological environment and cause economic losses. Guangdong Province has been suffering from seasonal drought for a long time. Traditional drought assessment mainly relies on site-scale soil moisture content data or meteorological-related data. The spatial representativeness of this drought assessment method based on single point is poor. The high temporal and spatial resolution of remote sensing images is more conducive to our assessment of long-term and large-scale drought changes. Soil moisture and dryness can affect the growth of vegetation. In vegetation-covered areas, indicators reflecting vegetation status can also be used for drought assessment to a certain extent. We calculated Vegetation Condition Index (VCI) using an 8-day composite Moderate Resolution Imaging Spectroradiometer (MODIS) from 2003 to 2017. The spatial and temporal distribution of drought in Guangdong Province in recent years was analyzed based on VCI. The following main conclusions are obtained: 1) the results of remote sensing drought assessment by using VCI are consistent with the actual situation. The annual average VCI in Guangdong Province in 2005, 2006 and 2010 was lower than in other years. According to the meteorological data of Guangdong Province, severe drought occurred from late 2004 to early 2005, from late 2005 to early 2006 and from late 2010 to early 2011. 2) On a long-term trend, the drought situation tends to decrease year by year in Guangdong. Compared with other areas in Guangdong, drought occurrence in eastern Guangdong is less frequent and milder. 3) Spring drought and autumn-winter drought of different severity usually occur in Guangdong Province. Spring drought is usually the most serious in Western Guangdong and the lightest in eastern Guangdong.
引用
收藏
页码:1944 / 1950
页数:7
相关论文
共 44 条
  • [31] Using Landsat TM data to aid the assessment of long-term trends in lake water quality in New Hampshire lakes
    Schloss, AL
    Spencer, S
    Schloss, JA
    Haney, J
    Bradt, S
    Nowak, J
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 3095 - 3097
  • [32] Persistent global greening over the last four decades using novel long-term vegetation index data with enhanced temporal consistency
    Jeong, Sungchan
    Ryu, Youngryel
    Gentine, Pierre
    Lian, Xu
    Fang, Jianing
    Li, Xing
    Dechant, Benjamin
    Kong, Juwon
    Choi, Wonseok
    Jiang, Chongya
    Keenan, Trevor F.
    Harrison, Sandy P.
    Prentice, Iain Colin
    REMOTE SENSING OF ENVIRONMENT, 2024, 311
  • [33] Structural Condition Assessment and Temperature Effect Analysis of Cable-Pylon Anchorage Zone Using Long-Term SHM Data
    Ye, Hanhui
    Chen, Zhijian
    ADVANCES IN CIVIL ENGINEERING, 2023, 2023
  • [34] A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data
    Ni, Y. Q.
    Wang, Y. W.
    Zhang, C.
    ENGINEERING STRUCTURES, 2020, 212
  • [35] Long-term trends in vegetation phenology and productivity over Namaqualand using the GIMMS AVHRR NDVI3g data from 1982 to 2011
    Davis, C. L.
    Hoffman, M. T.
    Roberts, W.
    SOUTH AFRICAN JOURNAL OF BOTANY, 2017, 111 : 76 - 85
  • [36] Analysis of the long-term agricultural drought onset, cessation, duration, frequency, severity and spatial extent using Vegetation Health Index (VHI) in Raya and its environs, Northern Ethiopia
    Gidey E.
    Dikinya O.
    Sebego R.
    Segosebe E.
    Zenebe A.
    Environmental Systems Research, 7 (1)
  • [37] Characterizing Indian meteorological moisture anomaly condition using long-term (1901-2013) gridded data: a multivariate moisture anomaly index approach
    Das, Prabir Kumar
    Midya, Subrata Kumar
    Das, Dilip Kumar
    Rao, Goru Srinivas
    Raj, Uday
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 : E144 - E159
  • [38] USING LONG-TERM CONSTANT-EFFORT BANDING DATA TO MONITOR POPULATION TRENDS OF MIGRATORY BIRDS: A 33-YEAR ASSESSMENT OF ADJACENT COASTAL STATIONS
    Osenkowski, Jason E.
    Paton, Peter W. C.
    Kraus, Douglas
    CONDOR, 2012, 114 (03): : 470 - 481
  • [39] Computation of the spatio-temporal extent of rainfall and long-term meteorological drought assessment using standardized precipitation index over Kolar and Chikkaballapura districts, Karnataka during 1951-2019
    Harishnaika, N.
    Ahmed, S. A.
    Kumar, Sanjay
    Arpitha, M.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 27
  • [40] Quantification of heat wave occurrences over the Indian region using long-term (1979–2017) daily gridded (0.5° × 0.5°) temperature data—a combined heat wave index approach
    Prabir Kumar Das
    Ushashi Podder
    Rituparna Das
    Chandrasekar Kamalakannan
    Goru Srinivasa Rao
    Soumya Bandyopadhyay
    Uday Raj
    Theoretical and Applied Climatology, 2020, 142 : 497 - 511