An improved temperature vegetation dryness index (iTVDI) and its applicability to drought monitoring

被引:9
作者
Yang Ruo-wen [1 ,2 ]
Wang Hai [3 ]
Hu Jin-ming [2 ]
Cao Jie [1 ,2 ]
Yang Yu [1 ]
机构
[1] Yunnan Univ, Dept Atmospher Sci, Kunming 650091, Yunnan, Peoples R China
[2] Yunnan Key Lab Int Rivers & Transboundary Ecosecu, Kunming 650091, Yunnan, Peoples R China
[3] Hubei Prov Meteorol Bur, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Improved temperature vegetation dryness index (iTVDI); Drought monitoring; Linear dry-edge equation; Parabolic dry-edge equation; Soil moisture; SOIL-WATER CONTENT; SURFACE MOISTURE STATUS; LOW-LATITUDE HIGHLANDS; THERMAL INERTIA; DAILY EVAPOTRANSPIRATION; REMOTE MEASUREMENTS; AIR-TEMPERATURE; TRIANGLE METHOD; MODIS DATA; CHINA;
D O I
10.1007/s11629-016-4262-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Using Moderate Resolution Imaging Spectroradiometer (MODIS) data from the dry season during 2010-2012 over the whole Yunnan Province, an improved temperature vegetation dryness index (iTVDI), in which a parabolic dry-edge equation replaces the traditional linear dry-edge equation, was developed, to reveal the regional drought regime in the dry season. After calculating the correlation coefficient, root-mean-square error, and standard deviation between the iTVDI and observed topsoil moisture at 10 and 20 cm for seven sites, the effectiveness of the new index in depicting topsoil moisture conditions was verified. The drought area indicated by iTVDI mapping was then compared with the drought-affected area reported by the local government. The results indicated that the iTVDI can monitor drought more accurately than the traditional TVDI during the dry season in Yunnan Province. Using iTVDI facilitates drought warning and irrigation scheduling, and the expectation is that this new index can be broadly applied in other areas.
引用
收藏
页码:2284 / 2294
页数:11
相关论文
共 50 条
  • [31] Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China
    Zhou, Xijia
    Wang, Pengxin
    Tansey, Kevin
    Ghent, Darren
    Zhang, Shuyu
    Li, Hongmei
    Wang, Lei
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 129 - 142
  • [32] Evaluating the Utility of MODIS Vegetation Index for Monitoring Agricultural Drought
    Li Hua-peng
    Zhang Shu-qing
    Gao Zi-qiang
    Sun Yan
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (03) : 756 - 761
  • [33] Disaggregation of SMOS soil moisture over West Africa using the Temperature and Vegetation Dryness Index based on SEVIRI land surface parameters
    Tagesson, T.
    Horion, S.
    Nieto, H.
    Fornies, V. Zaldo
    Gonzalez, G. Mendiguren
    Bulgin, C. E.
    Ghent, D.
    Fensholt, R.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 206 : 424 - 441
  • [34] A novel integrated approach for monitoring drought stress in an aeolian desertification area using Vegetation Drought Status Index
    Zhao, Zhixin
    Liu, Qi
    Huo, Aidi
    Cheng, Yuxiang
    Guan, Wenke
    EL-Sayed Abuarab, Mohamed
    Mokhtar, Ali
    Elbeltagi, Ahmed
    [J]. WATER SUPPLY, 2023, 23 (02) : 738 - 748
  • [35] Modified drought severity index: Model improvement and its application in drought monitoring in China
    Sun, Peng
    Ma, Zice
    Zhang, Qiang
    Singh, Vijay P.
    Xu, Chong-Yu
    [J]. JOURNAL OF HYDROLOGY, 2022, 612
  • [36] Temperature Vegetation Dryness Index Estimation of Soil Moisture under Different Tree Species
    Chen, Shulin
    Wen, Zuomin
    Jiang, Hong
    Zhao, Qingjian
    Zhang, Xiuying
    Chen, Yan
    [J]. SUSTAINABILITY, 2015, 7 (09) : 11401 - 11417
  • [37] Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery
    Zhou, Xijia
    Wang, Pengxin
    Tansey, Kevin
    Zhang, Shuyu
    Li, Hongmei
    Wang, Lei
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 168
  • [38] Modified drought severity index: Model improvement and its application in drought monitoring in China
    Sun, Peng
    Ma, Zice
    Zhang, Qiang
    Singh, Vijay P.
    Xu, Chong-Yu
    [J]. JOURNAL OF HYDROLOGY, 2022, 612
  • [39] Monitoring vegetation drought in the nine major river basins of China based on a new developed Vegetation Drought Condition Index
    Zhao, Lili
    Li, Lusheng
    Li, Yanbin
    Zhong, Huayu
    Zhang, Fang
    Zhu, Junzhen
    Ding, Yibo
    [J]. JOURNAL OF ARID LAND, 2023, 15 (12) : 1421 - 1438
  • [40] Monitoring vegetation drought in the nine major river basins of China based on a new developed Vegetation Drought Condition Index
    Lili Zhao
    Lusheng Li
    Yanbin Li
    Huayu Zhong
    Fang Zhang
    Junzhen Zhu
    Yibo Ding
    [J]. Journal of Arid Land, 2023, 15 : 1421 - 1438