Vegetation change of ecotone in west of Northeast China plain using time-series remote sensing data

被引:0
|
作者
Fang Huang
Ping Wang
机构
[1] Northeast Normal University,School of Urban and Environmental Sciences
来源
关键词
vegetation change; normalized difference vegetation index (NDVI); normalized difference water index (NDWI); SPOT-VEGETATION; ecotone; Northeast China Plain;
D O I
暂无
中图分类号
学科分类号
摘要
Multi-temporal series of satellite SPOT-VEGETATION normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) data from 1998 to 2007 were used for analyzing vegetation change of the ecotone in the west of the Northeast China Plain. The yearly and monthly maximal values, anomalies and change rates of NDVI and NDWI were calculated to reveal the interannual and seasonal changes in vegetation cover and vegetation water content. Linear regression method was adopted to characterize the trends in vegetation change. The yearly maximal NDVI decreased from 0.41 in 1998 to 0.37 in 2007, implying the decreasing trend of vegetation activity. There was a significant decrease of maximal NDVI in spring and summer over the study period, while an increase trend was observed in autumn. The vegetation-improved regions and vegetation-degraded regions occupied 17.03% and 20.30% of the study area, respectively. The maximal NDWI over growing season dropped by 0.027 in 1998–2007, and about 15.15% of the study area showed a decreasing trend of water content. Vegetation water stress in autumn was better than that in spring. Vegetation cover and water content variations were sensitive to annual precipitation, autumn precipitation and summer temperature. The vegetation degradation trend in this ecotone might be induced by the warm-drying climate especially continuous spring and summer drought in the recent ten years.
引用
收藏
页码:167 / 175
页数:8
相关论文
共 50 条
  • [41] Improving model performance in mapping cropland soil organic matter using time-series remote sensing data
    Xianglin Zhang
    Jie Xue
    Songchao Chen
    Zhiqing Zhuo
    Zheng Wang
    Xueyao Chen
    Yi Xiao
    Zhou Shi
    [J]. Journal of Integrative Agriculture, 2024, 23 (08) : 2820 - 2841
  • [42] Improving model performance in mapping cropland soil organic matter using time-series remote sensing data
    Zhang, Xianglin
    Xue, Jie
    Chen, Songchao
    Zhuo, Zhiqing
    Wang, Zheng
    Chen, Xueyao
    Xiao, Yi
    Shi, Zhou
    [J]. JOURNAL OF INTEGRATIVE AGRICULTURE, 2024, 23 (08) : 2820 - 2841
  • [43] Prediction of Vegetation Change by Discrete Wavelet Decomposition Based on Remote Sensing Time Series Images
    Long, Yuehong
    Qin, Jianxin
    Wang, Ke
    Xue, Yun
    Wang, Ling
    [J]. TRAITEMENT DU SIGNAL, 2023, 40 (01) : 123 - 132
  • [44] Assessment of habitat suitability for waterbirds in the West Songnen Plain, China, using remote sensing and GIS
    Dong, Zhangyu
    Wang, Zongming
    Liu, Dianwei
    Li, Lin
    Ren, Chunying
    Tang, Xuguang
    Jia, Mingming
    Liu, Chunyue
    [J]. ECOLOGICAL ENGINEERING, 2013, 55 : 94 - 100
  • [45] A Novel Water Change Tracking Algorithm for Dynamic Mapping of Inland Water Using Time-Series Remote Sensing Imagery
    Chen, Xidong
    Liu, Liangyun
    Zhang, Xiao
    Xie, Shuai
    Lei, Liping
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 1661 - 1674
  • [46] TIME-SERIES REMOTE-SENSING OF A CLIMATICALLY SENSITIVE LAKE
    HARRIS, AR
    [J]. REMOTE SENSING OF ENVIRONMENT, 1994, 50 (02) : 83 - 94
  • [47] Remote Sensing Monitoring of Pine Wilt Disease Based on Time-Series Remote Sensing Index
    Long, Lin
    Chen, Yuanyuan
    Song, Shaojun
    Zhang, Xiaoli
    Jia, Xiang
    Lu, Yagang
    Liu, Gao
    [J]. REMOTE SENSING, 2023, 15 (02)
  • [48] TIME-SERIES ANALYSES OF GLOBAL CHANGE DATA
    LANE, LJ
    NICHOLS, MH
    OSBORN, HB
    [J]. ENVIRONMENTAL POLLUTION, 1994, 83 (1-2) : 63 - 68
  • [49] Monitoring vegetation dynamics with SPOT-VEGETATION NDVI time-series data in Tarim Basin, Xinjiang, China
    Wan, Hongxiu
    Sun, Zhandong
    Xu, Yongming
    [J]. REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY IX, 2009, 7478
  • [50] Monitoring Spatio-Temporal Changes of Terrestrial Ecosystem Soil Water Use Efficiency in Northeast China Using Time Series Remote Sensing Data
    Qi, Hang
    Huang, Fang
    Zhai, Huan
    [J]. SENSORS, 2019, 19 (06):