The Assessment of Meteorological Drought Impact on the Vegetation Health Index

被引:0
|
作者
Hosseini T.S.M. [1 ]
Ghermezcheshmeh B. [2 ]
Hosseini S.A. [1 ]
机构
[1] Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran
[2] Soil Conservation and Watershed Management Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran
关键词
Drought; Normalized Difference Vegetation Index (NDVI); Remote sensing; Standardized Precipitation Index (SPI); Vegetation Health Index (VHI);
D O I
10.1007/s41976-022-00074-5
中图分类号
学科分类号
摘要
One of the critical consequences of drought is the reduction of water resources and reduction of agricultural production. Therefore, it is essential to evaluate the relationship between meteorological drought and vegetation. To investigate this relationship, meteorological data from 28 rain gauge and remote sensing stations located in Lorestan Province and its neighboring regions were used in this study. First, the standardized precipitation index (SPI) was calculated between 1987 and 2017 using meteorological data, and then, the vegetation health index (VHI) was calculated using satellite images for the same years. The correlation between SPI and VHI was computed by Pearson’s correlation coefficient. The results showed that the highest Pearson’s correlation coefficient was 0.77, belonging to the SPIs for October and November with 9- and 12-month time periods. Multivariate linear regression was also performed between the SPI and vegetation health index (VHI), and the results showed that SPI was significantly correlated with VHI at a 5% level over 9- and 12-month periods. Finally, a confusion matrix was used to evaluate the compatibility of the SPI and VHI drought classes. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
引用
收藏
页码:185 / 192
页数:7
相关论文
共 50 条
  • [1] A climatological assessment of drought impact on vegetation health index
    Bento, Virgilio A.
    Gouveia, Celia M.
    DaCamara, Carlos C.
    Trigo, Isabel F.
    AGRICULTURAL AND FOREST METEOROLOGY, 2018, 259 : 286 - 295
  • [2] Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index
    Won, Jeongeun
    Seo, Jiyu
    Lee, Jeonghoon
    Lee, Okjeong
    Kim, Sangdan
    REMOTE SENSING, 2021, 13 (24)
  • [3] Analysis of relationship between meteorological and agricultural drought using standardized precipitation index and vegetation health index
    Ma'rufah, U.
    Hidayat, R.
    Prasasti, I.
    3RD INTERNATIONAL SYMPOSIUM ON LAPAN-IPB SATELLITE FOR FOOD SECURITY AND ENVIRONMENTAL MONITORING 2016, 2017, 54
  • [4] APPLICATION OF VEGETATION INDEX OF METEOROLOGICAL SATELLITE IN DROUGHT ANALYSIS OF NINGXIA
    Wang Lianxi
    Hu Wendong
    Zhang Feng Ningxia Meteorological Observatory Yinchuan China
    干旱区资源与环境, 1993, (Z1) : 379 - 381
  • [5] Ecological Drought Condition Index to Monitor Vegetation Response to Meteorological Drought in Korean Peninsula
    Won, Jeongeun
    Kim, Sangdan
    REMOTE SENSING, 2023, 15 (02)
  • [6] Impact of meteorological drought on vegetation in non-irrigated lands
    Mirmohammadhosseini, Tahereh Sadat
    Hosseini, Seyed Abbas
    Ghermezcheshmeh, Bagher
    Sharafati, Ahmad
    IDOJARAS, 2021, 125 (03): : 463 - 476
  • [7] Vegetation Index-Based Models Without Meteorological Constraints Underestimate the Impact of Drought on Gross Primary Productivity
    Chen, Xin
    Chen, Tiexi
    Liu, Shuci
    Chai, Yuanfang
    Guo, Renjie
    Dai, Jie
    Wang, Shengzhen
    Zhang, Lele
    Wei, Xueqiong
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2024, 129 (01)
  • [8] Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas
    Quiring, Steven M.
    Ganesh, Srinivasan
    AGRICULTURAL AND FOREST METEOROLOGY, 2010, 150 (03) : 330 - 339
  • [9] Index-based evaluation of vegetation response to meteorological drought in Northern China
    Rui Li
    Jing’ai Wang
    Tianjie Zhao
    Jiancheng Shi
    Natural Hazards, 2016, 84 : 2179 - 2193
  • [10] An improved global vegetation health index dataset in detecting vegetation drought
    Zeng, Jingyu
    Zhou, Tao
    Qu, Yanping
    Bento, Virgilio A.
    Qi, Junyu
    Xu, Yixin
    Li, Ying
    Wang, Qianfeng
    SCIENTIFIC DATA, 2023, 10 (01)