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Agricultural drought monitoring: Progress, challenges, and prospects

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Abstract

In this paper, we compared the concept of agricultural drought and its relationship with other types of droughts and reviewed the progress of research on agricultural drought monitoring indices on the basis of station data and remote sensing. Applicability and limitations of different drought monitoring indices were also compared. Meanwhile, development history and the latest progress in agricultural drought monitoring were evaluated through statistics and document comparison, suggesting a transformation in agricultural drought monitoring from traditional single meteorological monitoring indices to meteorology and remote sensing-integrated monitoring indices. Finally, an analysis of current challenges in agricultural drought monitoring revealed future research prospects for agricultural drought monitoring, such as investigating the mechanism underlying agricultural drought, identifying factors that influence agricultural drought, developing multi-spatiotemporal scales models for agricultural drought monitoring, coupling qualitative and quantitative agricultural drought evaluation models, and improving the application levels of remote sensing data in agricultural drought monitoring.

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References

  • AghaKouchak A, 2015a. A multivariate approach for persistence-based drought prediction: Application to the 2010–2011 East Africa drought. Journal of Hydrology, 526: 127–135.

    Article  Google Scholar 

  • Kouchak A, Farahmand A, Melton F S et al., 2015. Remote sensing of drought: Progress, challenges and opportunities. Reviews of Geophysics, 53: 452–480.

    Article  Google Scholar 

  • Alley W M, 1984. The Palmer drought severity index: Limitations and assumptions. Journal of climate and applied meteorology, 23(7): 1100–1109.

    Article  Google Scholar 

  • Andela N, Liu Y Y, van Dijk A et al., 2013. Global changes in dryland vegetation dynamics (1988–2008) assessed by satellite remote sensing: Comparing a new passive microwave vegetation density record with reflective greenness data. Biogeosciences, 10(10): 6657.

    Article  Google Scholar 

  • Anderson W B, Zaitchik B F, Hain C R et al., 2012. Towards an integrated soil moisture drought monitor for East Africa. Hydrology and Earth System Sciences, 16(8): 2893–2913.

    Article  Google Scholar 

  • Bindlish R, Jackson T J, Gasiewski A J et al., 2006. Soil moisture mapping and AMSR-E validation using the PSR in SMEX02. Remote Sensing of Environment, 103(2): 127–139.

    Article  Google Scholar 

  • Boken V K, Hoogenboom G, Kogan F N et al., 2004. Potential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute. International Journal of Remote Sensing, 25(12): 2277–2286.

    Article  Google Scholar 

  • Brown J F, Wardlow B D, Tadesse T et al., 2008. The Vegetation Drought Response Index (VegDRI): A new integrated approach for monitoring drought stress in vegetation. GIScience & Remote Sensing, 45(1): 16–46.

    Article  Google Scholar 

  • Chen Huailiang, Feng Dingyuan, 1999. Estimate the deep soil moisture methods and models by using remote sensing data. Journal of Applied Meteorology, 10(2): 232–237. (in Chinese)

    Google Scholar 

  • Chen Huailiang, Zhang Hongwei, Liu Ronghua et al., 2009. Agricultural drought monitoring, forecasting and loss assessment in China. Technology Review, (11): 82–92. (in Chinese)

    Google Scholar 

  • Chen Shulin, Liu Yuanbo, Wen Zuomin, 2012. Satellite retrieved of soil moisture: An overview. Advances in Earth Science, (11): 1192–1203. (in Chinese)

    Google Scholar 

  • Dai A, 2011. Drought under global warming: A review. Wiley Interdisciplinary Reviews: Climate Change, 2(1): 45–65.

    Google Scholar 

  • Dai A, 2012. Increasing drought under global warming in observations and models. Nature Climate Change, 3(1): 52–58.

    Article  Google Scholar 

  • Dai A, Trenberth K E, Qian T, 2004. A global dataset of Palmer Drought Severity Index for 1870–2002: Relationship with soil moisture and effects of surface warming. Journal of Hydrometeorology, 5(6): 1117–1130.

    Article  Google Scholar 

  • Du Lingtong, 2013. Drought monitoring model based on multi-source spatial information and its application [D]. Nanjing: Nanjing University. (in Chinese)

    Google Scholar 

  • Du Lingtong, Tian Qingjiu, Yu Tao et al., 2013. A comprehensive drought monitoring method integrating MODIS and TRMM data. International Journal of Applied Earth Observation and Geoinformation, 23: 245–253.

    Article  Google Scholar 

  • Fan Jinlong, Zhang Mingwei, Cao Guangzhen et al., 2014. Global drought monitoring initiative with satellite data. Advances in Meteorological Science and Technology, 5: 54–57. (in Chinese)

    Google Scholar 

  • Farahmand A, AghaKouchak A, Teixeira J, 2015. A vantage from space can detect earlier drought onset: An approach using relative humidity. Scientific Reports, 5: 8553.

    Article  Google Scholar 

  • Field C B, 2012. Managing the Risks of Extreme Events and Disasters to Advance Climate Change adaptation: Special Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Gao B, 1996. NDWI: A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58(3): 257–266.

    Article  Google Scholar 

  • Gibbs W J, Maher J V, 1967. Rainfall deciles as drought indicators. Australian: Bureau of Meteorology.

    Google Scholar 

  • Haboudane D, Miller J R, Pattey E et al., 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90(3): 337–352.

    Article  Google Scholar 

  • Hao Z, AghaKouchak A, 2013. Multivariate Standardized Drought Index: A parametric multi-index model. Advances in Water Resources, 57: 12–18.

    Article  Google Scholar 

  • Hao Z, AghaKouchak A, 2014. A Nonparametric Multivariate Multi-Index Drought Monitoring Framework. Journal of Hydrometeorology, 15(1): 89–101.

    Article  Google Scholar 

  • Hao Z, AghaKouchak A, Nakhjiri N et al., 2014. Global integrated drought monitoring and prediction system. Scientific Data, 1.

  • Hao Z, Singh V P, 2015. Drought characterization from a multivariate perspective: A review. Journal of Hydrology, 527: 668–678.

    Article  Google Scholar 

  • Heddinghaus T R, Sabol P, 1991. A review of the Palmer Drought Severity Index and where do we go from here. In: Proceedings of the seventh conference on applied climatology. American Meteorological Society Boston, MA.

    Google Scholar 

  • Heim R R, 2002. A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society, 83(8): 1149.

    Article  Google Scholar 

  • Henry A J, 1906. The Climatology of the United States. Weather Bureau Bulletin Q, Washington D C, 51–58.

    Google Scholar 

  • Idso S B, Jackson R D, Pinter P J et al., 1981. Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology, 24: 45–55.

    Article  Google Scholar 

  • IPCC, 2007). Climate Change 2007: The Physical Science Basis: Summary for Policymakers. Intergovernmental Panel on Climate Change Secretariat.

    Google Scholar 

  • Jackson R D, Kustas W P, Choudhury B J, 1988. A reexamination of the crop water stress index. Irrigation Science, 9(4): 309–317.

    Article  Google Scholar 

  • Karnieli A, Agam N, Pinker R T et al., 2010. Use of NDVI and land surface temperature for drought assessment: Merits and limitations. Journal of Climate, 23(3): 618–633.

    Article  Google Scholar 

  • Kincer J B, 1919. The seasonal distribution of precipitation and its frequency and intensity in the United States. Monthly Weather Review, 47(9): 624–631.

    Article  Google Scholar 

  • Kogan F, Adamenko T, Guo W, 2013. Global and regional drought dynamics in the climate warming era. Remote Sensing Letters, 4(4): 364–372.

    Article  Google Scholar 

  • Kogan F N, 1995. Droughts of the late 1980s in the United Statesas derived from NOAA polar-orbiting satellite data. Bulletin of the American Meteorological Society, 76(5): 655–668.

    Article  Google Scholar 

  • Kongoli C, Romanov P, Ferraro P J, 2012. Snow cover monitoring from remote sensing satellites. In: Remote Sensing of Drought: Innovative Monitoring Approaches. CRC Press, 359–386.

    Google Scholar 

  • Kumar S V, Peters-Lidard C D, Mocko D et al., 2014. Assimilation of remotely sensed soil moisture and snow depth retrievals for drought estimation. Journal of Hydrometeorology, 15(6): 2446–2469.

    Article  Google Scholar 

  • Li Hailiang, Dai Shengpei, Luo Hongxia, 2012. Status and prospects of agricultural drought monitoring. China Rural Technology, 5: 46–48. (in Chinese)

    Google Scholar 

  • Liu Li, Zhou Ying, 1998. Drought monitoring based on vegetation supply water index in Guizhou Province. Guizhou Meteorology, 22(6): 17–21. (in Chinese)

    Google Scholar 

  • Liu Xianfeng, Zhu Xiufang, Pan Yaozhong et al., 2015. Spatiotemporal changes of cold surges in Inner Mongolia between 1960 and 2012. Journal of Geographical Sciences, 25(3): 259–273.

    Article  Google Scholar 

  • Liu W T, Kogan F N, 1996. Monitoring regional drought using the vegetation condition index. International Journal of Remote Sensing, 17(14): 2761–2782.

    Article  Google Scholar 

  • Marcovitch S, 1930. The measure of droughtiness. Monthly Weather Review, 58(3): 113–113.

    Article  Google Scholar 

  • McGuire J K, Palmer W C, 1957. The 1957 drought in the eastern United States. Monthly Weather Review, 85(9): 305–314.

    Article  Google Scholar 

  • McKee T B, Doesken N J, Kleist J, 1993. The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th Conference on Applied Climatology. American Meteorological Society Boston, MA, 179–183.

    Google Scholar 

  • McQuigg J, 1954. A simple index of drought conditions. Weatherwise, 7(3): 64–67.

    Article  Google Scholar 

  • Me Zhensheng, Ding Yuguo, 1990). Climate Statistics, 1963. Beijing: Science Press, 1990. (in Chinese)

    Google Scholar 

  • Mishra A K, Desai V R, 2005. Spatial and temporal drought analysis in the Kansabati river basin, India. International Journal of River Basin Management, 3(1): 31–41.

    Article  Google Scholar 

  • Mishra A K, Singh V P, 2009. Analysis of drought severity-area-frequency curves using a general circulation model and scenario uncertainty. Journal of Geophysical Research: Atmospheres, 114(D6).

  • Mishra A K, Singh V P, 2010. A review of drought concepts. Journal of Hydrology, 391(1/2): 202–216.

    Article  Google Scholar 

  • Mishra A K, Singh V P, Desai V R, 2009. Drought characterization: A probabilistic approach. Stochastic Environmental Research and Risk Assessment, 23(1): 41–55.

    Article  Google Scholar 

  • Moran M S, Clarke T R, Inoue Y et al., 1994. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment, 49(3): 246–263.

    Article  Google Scholar 

  • Mu L, Wu B, Yan N et al., 2007. Validation of agricultural drought indices and their uncertainty analysis. Bulletin of Soil and Water Conservation, 27(2): 119–122.

    Google Scholar 

  • Mu Q, Zhao M, Kimball J S et al., 2013. A remotely sensed global terrestrial drought severity index. Bulletin of the American Meteorological Society, 94(1): 83–98.

    Article  Google Scholar 

  • Munger T T, 1916. Graphic method of representing and comparing drought INTENSITIES. 1. Monthly Weather Review, 44(11): 642–643.

    Article  Google Scholar 

  • Palmer W C, 1965). Meteorological drought, 30. US Department of Commerce, Weather Bureau Washington, DC, USA.

    Google Scholar 

  • Palmer W C, 1968. Keeping track of crop moisture conditions, nationwide: The new crop moisture index. Weatherwise, 21: 156–161.

    Article  Google Scholar 

  • Rajsekhar D, Singh V P, Mishra A K, 2015. Multivariate drought index: An information theory based approach for integrated drought assessment. Journal of Hydrology, 526: 164–182.

    Article  Google Scholar 

  • Rhee J, Im J, Carbone G J, 2010. Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data. Remote Sensing of Environment, 114(12): 2875–2887.

    Article  Google Scholar 

  • Rodell M, 2012. Satellite gravimetry applied to drought monitoring. In: Remote Sensing of Drought: Innovative Monitoring Approaches. CRC Press, 261–277.

    Google Scholar 

  • Rott H, Yueh S H, Cline D W et al., 2010. Cold regions hydrology high-resolution observatory for snow and cold land processes. Proceedings of the IEEE, 98(5): 752–765.

    Article  Google Scholar 

  • Sandholt I, Rasmussen K, Andersen J, 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79(2): 213–224.

    Article  Google Scholar 

  • Shafer B A, Dezman L E, 1982). Development of a Surface Water Supply Index (SWSI) to assess the severity of drought conditions in snowpack runoff areas. Proceedings of the Western Snow Conference, 164–175.

    Google Scholar 

  • Shah R D, Mishra V, 2015. Development of an experimental near-real-time drought monitor for India. Journal of Hydrometeorology, 16(1): 327–345.

    Article  Google Scholar 

  • Solomon S et al., 2007. The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change: 235–337.

    Google Scholar 

  • Stocker T F et al., 2013). IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.

    Google Scholar 

  • Van Rooy M P, 1965. A rainfall anomaly index independent of time and space. Notos, 14: 43–48.

    Google Scholar 

  • Vicente-Serrano S M, Beguería S, Lorenzo-Lacruz J et al., 2012. Performance of drought indices for ecological, agricultural, and hydrological applications. Earth Interactions, 16: 10.

    Article  Google Scholar 

  • Vicente-Serrano S M, Beguería S, López-Moreno J I, 2010. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 23(7): 1696–1718.

    Article  Google Scholar 

  • Vicente-Serrano S M, Beguería S, López-Moreno J I et al., 2010. A new global 0.5 gridded dataset (1901–2006) of a multiscalar drought index: comparison with current drought index datasets based on the Palmer Drought Severity Index. Journal of Hydrometeorology, 11(4): 1033–1043.

    Article  Google Scholar 

  • Wang Chunyi, Wang Shili, Huo Zhiguo et al., 2005. Progresses in research of agro-meteorological disasters in China in recent decade. Acta Meteorologica Sinica, (5): 659–671. (in Chinese)

    Google Scholar 

  • Wang Jinsong, Guo Jiangyong, Qing Jizu, 2007. Application of a kind of K drought index in the spring drought analysis in Northwest China. Journal of Natural Resources, 22(5): 709–717. (in Chinese)

    Google Scholar 

  • Wang Pengxin, Gong Jianya, Li Xiaowen et al., 2003. Advances in drought monitoring by using remotely sensed normalized difference vegetation index and land surface temperature products. Advance in Earth Sciences, 18(4): 527–533. (in Chinese)

    Google Scholar 

  • Wells N, Goddard S, Hayes M J, 2004. A self-calibrating Palmer drought severity index. Journal of Climate, 17(12): 2335–2351.

    Article  Google Scholar 

  • Wu, Jianjun, Zhou Lei, Liu Ming et al., 2013. Establishing and assessing the Integrated Surface Drought Index (ISDI) for agricultural drought monitoring in mid-eastern China. International Journal of Applied Earth Observation and Geoinformation, 23: 397–410.

    Article  Google Scholar 

  • Wu Jianjun, Zhou Lei, Mo Xinyu et al., 2015. Drought monitoring and analysis in China based on the Integrated Surface Drought Index (ISDI). International Journal of Applied Earth Observation and Geoinformation, 41: 23–33.

    Article  Google Scholar 

  • Wu Shaohong, Zhao Yan, Tang Qiuhong et al., 2015. Land surface pattern study under the framework of Future Earth. Progress in Geography, 34(1): 10–17. (in Chinese)

    Google Scholar 

  • Ye Duzheng, 1992). Prediction of Global Change in China. Beijing: China Meteorological Press, 1992. (in Chinese)

    Google Scholar 

  • Zhang A, Jia G, 2013. Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data. Remote Sensing of Environment, 134: 12–23.

    Article  Google Scholar 

  • Zhang Qiang, Han Lanying, Zhang Liyang et al., 2014. Analysis on the character and management strategy of drought disaster and risk under the climatic warming. Advances in Earth Sciences, 1: 80–91. (in Chinese)

    Google Scholar 

  • Zhang Qiang, Ju Xiaosheng, Li Shuhua, 1998. Comparison of three drought indices to determine and the new index. Meteorological Science and Technology, 2: 49–53.

    Google Scholar 

  • Zhang Qiang, Zhang Liang, Cui Xiancheng et al., 2011. Progresses and challenges in drought assessment and monitoring. Advances in Earth Sciences, 7: 763–778.

    Google Scholar 

  • Zhang Renhua, Sun Xiaomin, 2001. Regional differentiation of quantitative estimate crop transpiration and soil water use efficiency by using remote sensing. Science in China: Series D, 31(11): 959–968.

    Google Scholar 

  • Zhao Junfang, Guo Jianping, Zhang Yanhong et al., 2010. Advances in research of impacts of climate change on agriculture. Chinese Journal of Agrometeorology, 2: 200–205.

    Google Scholar 

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Correspondence to Yaozhong Pan.

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Foundation: Major Project of High-resolution Earth Observation System

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Liu, X., Zhu, X., Pan, Y. et al. Agricultural drought monitoring: Progress, challenges, and prospects. J. Geogr. Sci. 26, 750–767 (2016). https://doi.org/10.1007/s11442-016-1297-9

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