Please wait a minute...
Journal of Integrative Agriculture  2014, Vol. 13 Issue (7): 1501-1508    DOI: 10.1016/S2095-3119(14)60813-3
Special Issue: Systematic Synthesis of Impacts of Climate Change on China’s Crop Production System Advanced Online Publication | Current Issue | Archive | Adv Search |
Drought Change Trend Using MODIS TVDI and Its Relationship with Climate Factors in China from 2001 to 2010
 LIANG Liang, ZHAO Shu-he, QIN Zhi-hao, HE Ke-xun,  CHEN Chong, LUO Yun-xiao
1、School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, P.R.China
2、School of Geodesy and Geomatics, Jiangsu Normal University, Xuzhou 221116, P.R.China
3、Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, P.R.China
4、Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  Changes in drought trends and its relationship with climate change in China were examined in this study. The temperature vegetation drought index (TVDI) datasets recorded during 2001 to 2010 in China were constructed by using the moderateresolution imaging spectroradiometer (MODIS) data, and the temporal and spatial variations in drought were analyzed. In addition, the mean temperature, mean precipitation, mean relative humidity, and mean sunshine duration data collected from 557 local weather stations in China were analyzed. The relationships between drought and these climate factors were also analyzed by using correlation analysis and partial correlation analysis. Changes in drought tendency were shown to differ among four regions throughout the country. The fluctuations in climate in the regions of northeastern China, Qinling-Huaihe, and central Qinghai were caused by the increase in soil moisture, and that in southern Tibet was caused by the intensification of drought. Meteorological factors exhibited varied effects on drought among the regions. In southern China, the main influential factor was temperature; other factors only showed minimal effects. That in the northern and northwestern regions was sunshine duration, and those in the Qinghai-Tibet Plateau were relative humidity and temperature.

Abstract  Changes in drought trends and its relationship with climate change in China were examined in this study. The temperature vegetation drought index (TVDI) datasets recorded during 2001 to 2010 in China were constructed by using the moderateresolution imaging spectroradiometer (MODIS) data, and the temporal and spatial variations in drought were analyzed. In addition, the mean temperature, mean precipitation, mean relative humidity, and mean sunshine duration data collected from 557 local weather stations in China were analyzed. The relationships between drought and these climate factors were also analyzed by using correlation analysis and partial correlation analysis. Changes in drought tendency were shown to differ among four regions throughout the country. The fluctuations in climate in the regions of northeastern China, Qinling-Huaihe, and central Qinghai were caused by the increase in soil moisture, and that in southern Tibet was caused by the intensification of drought. Meteorological factors exhibited varied effects on drought among the regions. In southern China, the main influential factor was temperature; other factors only showed minimal effects. That in the northern and northwestern regions was sunshine duration, and those in the Qinghai-Tibet Plateau were relative humidity and temperature.
Keywords:  drought       climate factors       TVDI       MODIS       China  
Received: 11 September 2013   Accepted:
Fund: 

This research is supported by the National Basic Research Program of China (2010CB951503), the China Postdoctoral Science Foundation (2013M531329) and the Natural Science Foundation of Jiangsu Province, China (BK2012145).

Corresponding Authors:  ZHAO Shu-he, Tel: +86-25-89681015, E-mail: zhaosh@nju.edu.cn; QIN Zhi-hao, Mobile: 13521350214, E-mail: zhihaoqin@163.com     E-mail:  zhaosh@nju.edu.cn; zhihaoqin@163.com

Cite this article: 

LIANG Liang, ZHAO Shu-he, QIN Zhi-hao, HE Ke-xun, CHEN Chong, LUO Yun-xiao. 2014. Drought Change Trend Using MODIS TVDI and Its Relationship with Climate Factors in China from 2001 to 2010. Journal of Integrative Agriculture, 13(7): 1501-1508.

Cai X L, Ye D X, Li Q, Zhang C J, Wang N. 2013. Analysisof temporal-spatial variation characteristics of droughtin Shaanxi Province based on compound meteorologicaldrought index (CI). Agricultural Research in the AridAreas, 31, 1-8

Carlson T N, Gillies R R, Schmugge T J. 1995. Aninterpretation of methodologies for indirect measurementof soil water content. Agricultural and Forest Meteorology,77, 191-205

Chen J, Wang C Z, Jiang H, Mao L X, Yu Z R. 2011.Estimating soil moisture using temperature-vegetationdryness index (TVDI) in the Huang-huai-hai (HHH) plain.International Journal of Remote Sensing, 32, 1165-1177

Giles J. 2004. Climatologists get real over global warming.Nature, 432, 937.

Han Y, Wang Y Q, Zhao Y. 2010. Estimating soil moistureconditions of the greater changbai mountains by landsurface temperature and NDVI. IEEE Transactions onGeoscience and Remote Sensing, 48, 2509-2515

Huang R, Xu L G, Liu J M. 2013. Research on spatio-temporalchange of temperature in the Northwest Arid Area. ActaEcologica Sinica, 33, 4078-4089 (in Chinese)

Jackson R D, Idso S B, Reginatio R J, Ehrler W L. 1977a. Croptemperature reveals stress. Crop Solis, 29, 10-13

Jackson R D, Reginatio R J, Idso S B. 1977b. Wheatcanopy temperature: A practice tool for evaluating waterrequirements. Water Resources Research, 13, 651-656

Kogan F N. 1995a. Drought of the late 1980s in the United Statesas derived from NOAA polarorbiting satellite data. Bulletinof the American Meteorological Society, 76, 655-668

Kogan F N. 1995b. Application of vegetation index andbrightness temperature for drought detection. AdvancedSpace Research, 15, 91-100

Liu L M, Hu Y, Yan J J, Tan D B. 2005. Analysis of parametersand their powers of MODIS drought monitoring model.Geomatics and Information Science of Wuhan University, 30, 139-142 (in Chinese)

Luo Y Q, Zou B, Qiu Y H. 2013. Spatial-temporal evolutioncharacteristics of drought disaster in East China. Journalof Arid Land Resources and Environment, 27, 58-64 (inChinese)

Mao K B, Qin Z H, Shi J C, Gong P. 2005. A practical splitwindowalgorithm for retrieving land surface temperaturefrom MODIS data. International Journal of RemoteSensing, 26, 3181-3204

Mao K B, Shi J C, Li Z L, Tang H J. 2007. An RM-NNalgorithm for retrieving land surface temperature andemissivity from EOS/MODIS data. Journal of GeophysicalResearch, 112, 1-17

Moran M S, Clarke T R, Inoue Y, Vidal A. 1994. Estimatingcrop water deficit using the relation between surface airtemperature and spectral vegetation index. Remote Sensingof Environment, 49, 246-263

Patel N R, Anapashsha R, Kumar S, Saha S K, Dadhwal V K.2009. Assessing potential of MODIS derived temperature/vegetation condition index (TVDI) to infer soil moisturestatus. International Journal of Remote Sensing, 30, 23-39

Piao S L, Ciais P, Huang Y, Shen Z H, Peng S S, Li J S, ZhouL P, Liu H Y, Ma Y C, Ding Y H, Friedlingstein P, LiuC Z, Tan K, Yu Y Q, Zhang T Y, Fang J Y. 2010. Theimpact of climate change on water resource and agriculturein China. Nature, 467, 43-51

Price J C. 1985. On the analysis of thermal infrared imagery:The limited utility of apparent thermal inertia. RemoteSensing of Environment, 18, 59-73

Price J C. 1990. Using spatial context insatellite data to inferregional scale evapotran spiration. IEEE Transactions onGeoscience and Remote Sensing, 28, 940-948

Qi S H, Li G C, Wang C Y, Niu Z. 2005. Study on monitoringdrought in China with MODIS product. Advances in WaterScience, 16, 56-61 ( in Chinese)

Qi S H, Wang C Y, Niu Z, Liu Z J. 2004. SVI and VCI basedon NDVI time-series dataset used to monitor vegetationgrowth status and its response to climate variables.Progress in Geography, 23, 91-99 (in Chinese)

Qin Z H, Li W J, Gao M F, Zhang H O. 2006. An algorithmto retrieve land surface temperature from ASTERthermal band data for agricultural drought monitoring. In:Proceedings of SPIE 6359, Remote Sensing for Agriculture,Ecosystems, and Hydrology VIII, 63591F. Stockhom,Sweden. pp. 63591F1-8

Rahimzadeh-Bajgiran P, Omasa K, Shimizu Y. 2012.Comparative evaluation of the vegetation drynessindex (VDI), the temperature vegetation dryness index(TVDI) and the improved TVDI (iTVDI) for water stressdetection in semi-arid regions of Iran. ISPRS Journal ofPhotogrammetry and Remote Sensing, 68, 1-12

Rhee J, Im J, Carbone G J. 2010. Monitoring agriculturaldrought for arid and humid regions using multi-sensorremote sensing data. Remote Sensing of Environment,114, 2875-2887

Rouse J W, Hass R H, Schell J A, Deering D W. 1974.Monitoring vegetation systems in the Great Plains withERTS. In: Proceedings of the 3rd Earth ResourcesTechnology Satellite-1 Symposium NASA SP-351,Greenbelt, MD pp. 309-317.

Sandholt I, Rasmussen K, Andersen J. 2002. A simpleinterpretation of the surface temperature/vegetation indexspace for assessment of surface moisture status. RemoteSensing of Environment, 79, 213-224.

Sui H Z, Tian G L, Li F Q. 1997. Two-layer model formonitoring drought using remote sensing. Journal ofRemote Sensing, 1, 220-224. (in Chinese)

Sun H, Chen Y H, Sun H Q. 2012. Comparisons andclassification system of typical remote sensing indexes foragricultural drought. Transactions of the Chinese Societyof Agricultural Engineering, 28, 147-154 (in Chinese)

Sun L, Wang F, Li B G, Chen X W. 2014. Study on droughtmonitoring of wuling mountain area based on multi-sourcedata. Transactions of the Chinese Society for AgriculturalMachinery, 45, 246-252 (in Chinese)

Tian R X, Gao L, Gao Y X. 1995. Spatial and temporalvariation of annual rainfall in the northwest arid areas ofChina. Plateau Meteorology, 14, 90-95. (in Chinese)

Wang C Y, Qi S H, Niu Z, Wang J B. 2004. Evaluating soilmoisture status in China using the temperature-vegetationdryness index (TVDI). Canadian Journal of RemoteSensing, 30, 671-679

Wang D, Fu J Y, Zhuang D F, Xu X L. 2012. Dynamic droughtremotesensing monitoring in North China from 2008 to2009. Journal of Natural Disasters, 21, 92-101. ( in Chinese)

Xiao Q G, Chen W Y, Sheng Y W, Li J. 1994. Study on soilmoisture monitoring using NOAA satellite. Journal ofApplied Meteorology, 5, 312-318 (in Chinese)

Yang H, Flower J R, Thompson J R. 2013. Sustaining China’swater resources. Science, 339, 141-141

Yang X, Wu J J, Yan F, Zhang J. 2009. Assessment of regionalsoil moisture status based on characteristics of surfacetemperature /vegetation index space. Acta EcologicaSinica, 29, 1205-1216 (in Chinese)

Yu T, Tian G L. 1997. The application of thermal inertiamethod the monitoring of soil moisture of North Chinaplain based on NOAA-AVHRR data. Journal of RemoteSensing, 1, 24-31, 80. (in Chinese)

Zhang Y D, Zhang X H, Liu S R. 2011. Correlation analysis onnormalized difference vegetation index (NDVI) of differentvegetations and climatic factors in Southwest China. ChineseJournal of Applied Ecology, 22, 323-330 (in Chinese)

Zhang Z, Wang P, Chen Y, Zhang S, Tao F L, Liu X F. 2013.Spatio-temporal changes of agrometrorological disastersfor wheat production across China since 1990. ActaGeographica Sinica, 68, 1453-1460. (in Chinese)

Zhao J P, Zhang X F, Bao H Y. 2011. Soil moisture retrievalfrom remote sensing data in arid areas using a multiplemodels strategy. Advances in Intelligent and SoftComputing, 105, 635-644.
[1] Libin Liang, Yaning Bai, Wenyan Huang, Pengfei Ren, Xing Li, Dou Wang, Yuhan Yang, Zhen Gao, Jiao Tang, Xingchen Wu, Shimin Gao, Yanna Guo, Mingming Hu, Zhiwei Wang, Zhongbing Wang, Haili Ma, Junping Li. Genetic and biological properties of H9N2 avian influenza viruses isolated in central China from 2020 to 2022[J]. >Journal of Integrative Agriculture, 2024, 23(8): 2778-2791.
[2] Lin Chen, Chao Li, Jiahao Zhang, Zongrui Li, Qi Zeng, Qingguo Sun, Xiaowu Wang, Limin Zhao, Lugang Zhang, Baohua Li. Physiological and transcriptome analyses of Chinese cabbage in response to drought stress[J]. >Journal of Integrative Agriculture, 2024, 23(7): 2255-2269.
[3] Congcong Guo, Hongchun Sun, Xiaoyuan Bao, Lingxiao Zhu, Yongjiang Zhang, Ke Zhang, Anchang Li, Zhiying Bai, Liantao Liu, Cundong Li. Increasing root-lower characteristics improves drought tolerance in cotton cultivars at the seedling stage[J]. >Journal of Integrative Agriculture, 2024, 23(7): 2242-2254.
[4] Jianjun Wang, Yanan Shao, Xin Yang, Chi Zhang, Yuan Guo, Zijin Liu, Mingxun Chen.

Heterogeneous expression of stearoyl-acyl carrier protein desaturase genes SAD1 and SAD2 from Linum usitatissimum enhances seed oleic acid accumulation and seedling cold and drought tolerance in Brassica napus [J]. >Journal of Integrative Agriculture, 2024, 23(6): 1864-1878.

[5] Xuan Li, Shaowen Wang, Yifan Chen, Danwen Zhang, Shanshan Yang, Jingwen Wang, Jiahua Zhang, Yun Bai, Sha Zhang.

Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient [J]. >Journal of Integrative Agriculture, 2024, 23(4): 1381-1392.

[6] Dian Chen, Xiangming Fang, Yu Chen, Xiaodong Zheng, Zhuo Chen, Rodney B.W. Smith.

The impact of the Rural Minimum Living Standard Guarantee (Rural Dibao) Program on child nutrition outcomes [J]. >Journal of Integrative Agriculture, 2024, 23(2): 444-456.

[7] Yi Cui, Qiran Zhao, Thomas Glauben, Wei Si. The impact of Internet access on household dietary quality: Evidence from rural China[J]. >Journal of Integrative Agriculture, 2024, 23(2): 374-383.
[8] Xiao Han, Kaiyu Lyu, Fengying Nie, Yuquan Chen.

Resilience effects for household food expenditure and dietary diversity in rural western China [J]. >Journal of Integrative Agriculture, 2024, 23(2): 384-396.

[9] Jie Xue, Xianglin Zhang, Songchao Chen, Bifeng Hu, Nan Wang, Zhou Shi.

Quantifying the agreement and accuracy characteristics of four satellite-based LULC products for cropland classification in China [J]. >Journal of Integrative Agriculture, 2024, 23(1): 283-297.

[10] Akmaral Baidyussen, Gulmira Khassanova, Maral Utebayev, Satyvaldy Jatayev, Rystay Kushanova, Sholpan Khalbayeva, Aigul Amangeldiyeva, Raushan Yerzhebayeva, Kulpash Bulatova, Carly Schramm, Peter Anderson, Colin L. D. Jenkins, Kathleen L. Soole, Yuri Shavrukov. Assessment of molecular markers and marker-assisted selection for drought tolerance in barley (Hordeum vulgare L.)[J]. >Journal of Integrative Agriculture, 2024, 23(1): 20-38.
[11] ZHANG Sha, YANG Shan-shan, WANG Jing-wen, WU Xi-fang, Malak HENCHIRI, Tehseen JAVED, ZHANG Jia-hua, BAI Yun. Integrating a novel irrigation approximation method with a process-based remote sensing model to estimate multi-years' winter wheat yield over the North China Plain[J]. >Journal of Integrative Agriculture, 2023, 22(9): 2865-2881.
[12] YU Wen-jia, LI Hai-gang, Peteh M. NKEBIWE, YANG Xue-yun, GUO Da-yong, LI Cui-lan, ZHU Yi-yong, XIAO Jing-xiu, LI Guo-hua, SUN Zhi, Torsten MÜLLER, SHEN Jian-bo. Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2509-2520.
[13] LI Dong-qing, ZHANG Ming-xue, LÜ Xin-xin, HOU Ling-ling. Does nature-based solution sustain grassland quality? Evidence from rotational grazing practice in China[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2567-2576.
[14] YANG Rui, XU Hang. Water diversion and agricultural production: Evidence from China[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1244-1257.
[15] HOU Jing, ZHOU Li, Jennifer IFFT, YING Rui-yao. The role of time preferences in contract breach: Evidence from Chinese poultry farmers participating in contract farming[J]. >Journal of Integrative Agriculture, 2023, 22(2): 623-641.
No Suggested Reading articles found!