Journal of Geographical Sciences ›› 2016, Vol. 26 ›› Issue (6): 750-767.doi: 10.1007/s11442-016-1297-9
• Review Article • Previous Articles
Xianfeng LIU1,2(), Xiufang ZHU1,2,*, Yaozhong PAN1,2(
), Shuangshuang LI1,3, Yanxu LIU4, Yuqi MA2
Received:
2015-11-10
Accepted:
2015-12-15
Online:
2016-06-15
Published:
2016-07-08
Contact:
Xiufang ZHU
E-mail:liuxianfeng7987@163.com;pyz@bnu.edu.cn
About author:
Author: Liu Xianfeng (1986-), PhD Candidate, specialized in resource and environmental remote sensing and disaster remote sensing. E-mail:
Supported by:
Xianfeng LIU, Xiufang ZHU, Yaozhong PAN, Shuangshuang LI, Yanxu LIU, Yuqi MA. Agricultural drought monitoring:Progress, challenges, and prospects[J].Journal of Geographical Sciences, 2016, 26(6): 750-767.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
Main meteorological and agricultural drought monitoring indices"
Indices | Proposed time | Main author | Indices description |
---|---|---|---|
PA | 1906 | Drought occurs when precipitation during 21 days or a longer period is equal to or less than 30% of the normal precipitation. | |
PDSI | 1965 | Water deficit of actual water supply continues to be less than the local climate water supply in a period. | |
CMI | 1968 | Mainly used for agricultural drought monitoring and analyzing conditions of crop drought on the basis of a water balance model. | |
CWSI | 1988 | Determines crop water deficit by considering the relationship between soil moisture and farmland evapotranspiration on the basis of the water and energy balance principle. | |
Z | 1990 | Assumes that rainfall conforms to Person III distribution, and through precipitation normalization to determine drought index. | |
SPI | 1993 | Reflects the probability of precipitation occurring during a certain period, which is suitable for monthly or even longer-scale drought monitoring. | |
WDI | 1994 | This index is established by a combination of the differences between air and land surface temperature and vegetation index, considering the nearly linear relationship between vegetation cover and the most theoretical parameter in the crop water stress index. | |
VCI | 1995 | Overcomes the shortage of anomaly vegetation and normalized vegetation index, which can effectively monitor the spatiotemporal variation in drought. | |
NDWI | 1996 | This index can effectively detect water content in vegetation canopy and respond promptly when vegetation undergoes water stress by introducing shortwave infrared bands. | |
CI | 1998 | Integrates the standardized precipitation index and relative humidity index, which is suitable for near real-time and historical meteorological drought. | |
TVDI | 2002 | Characterizes crop water stress through the dry and wet equation determined by vegetation cover and surface temperature. | |
VSWI | 2004 | Haboudane | This index, combined with the land surface temperature index and vegetation index, is used for agricultural drought monitoring. |
SC-PDSI | 2004 | This index is self-calibrated PDSI, which can determine model calibration parameters according to local climate characteristics. | |
K | 2007 | This index, used for meteorological and agricultural droughts, is defined as the ratio of the relative variability in seasonal rainfall and relative variability in evaporation. | |
VegDRI | 2008 | This is a synthesized drought index that includes information on vegetation, meteorology, and soil water capacity by using data mining. | |
SPEI | 2010 | Vicente-Serrano (2010) | This index is a modified SPI, which introduces evapotranspiration data for calculating drought. |
29 | Henry A J, 1906. The Climatology of the United States. Weather Bureau Bulletin Q, Washington D C, 51-58. |
30 |
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.
doi: 10.1016/0002-1571(81)90032-7 |
1 | 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. |
2 |
AghaKouchak A, Farahmand A, Melton F S.et al., 2015. Remote sensing of drought: Progress, challenges and opportunities.Reviews of Geophysics, 53: 452-480.
doi: 10.1002/2014RG000456 |
31 | IPCC, 2007. Climate Change 2007: The Physical Science Basis: Summary for Policymakers. Intergovernmental Panel on Climate Change Secretariat. |
32 |
Jackson R D, Kustas W P, Choudhury B J, 1988. A reexamination of the crop water stress index.Irrigation Science, 9(4): 309-317.
doi: 10.1007/BF00296705 |
3 | Alley W M, 1984. The Palmer drought severity index: Limitations and assumptions.Journal of climate and applied meteorology, 23(7): 1100-1109. |
4 |
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.
doi: 10.5194/bg-10-6657-2013 |
33 |
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.
doi: 10.1175/2009JCLI2900.1 |
34 |
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.
doi: 10.1175/1520-0493(1919)472.0.CO;2 |
5 |
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.
doi: 10.5194/hess-16-2893-2012 |
6 |
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.
doi: 10.1016/j.rse.2005.02.003 |
7 |
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.
doi: 10.1080/01431160310001618077 |
8 |
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.
doi: 10.2747/1548-1603.45.1.16 |
35 |
Kogan F, Adamenko T, Guo W, 2013. Global and regional drought dynamics in the climate warming era.Remote Sensing Letters, 4(4): 364-372.
doi: 10.1080/2150704X.2012.736033 |
36 | 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. |
9 | 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) |
10 |
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)
doi: 10.1117/12.830273 |
37 | 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. |
38 |
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.
doi: 10.1175/JHM-D-13-0132.1 |
11 | Chen Shulin, Liu Yuanbo, Wen Zuomin, 2012. Satellite retrieved of soil moisture: An overview.Advances in Earth Science, (11): 1192-1203. (in Chinese) |
12 | Dai A, 2011. Drought under global warming: A review. Wiley Interdisciplinary Reviews: Climate Change, 2(1): 45-65. |
13 |
Dai A, 2012. Increasing drought under global warming in observations and models.Nature Climate Change, 3(1): 52-58.
doi: 10.1038/nclimate1633 |
14 | 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. |
39 | Li Hailiang, Dai Shengpei, Luo Hongxia, 2012. Status and prospects of agricultural drought monitoring.China Rural Technology, 5: 46-48. (in Chinese) |
40 | Liu Li, Zhou Ying, 1998. Drought monitoring based on vegetation supply water index in Guizhou Province.Guizhou Meteorology, 22(6): 17-21. (in Chinese) |
15 | Du Lingtong, 2013. Drought monitoring model based on multi-source spatial information and its application [D]. Nanjing: Nanjing University. (in Chinese) |
16 |
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.
doi: 10.1016/j.jag.2012.09.010 |
17 | 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) |
18 |
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.
doi: 10.1038/srep08553 pmid: 25711500 |
41 |
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.
doi: 10.1007/s11442-015-1166-y |
42 |
Liu W T, Kogan F N, 1996. Monitoring regional drought using the vegetation condition index.International Journal of Remote Sensing, 17(14): 2761-2782.
doi: 10.1080/01431169608949106 |
19 | 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. |
20 |
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.
doi: 10.1016/S0034-4257(96)00067-3 |
21 | Gibbs W J, Maher J V, 1967. Rainfall deciles as drought indicators. Australian: Bureau of Meteorology. |
22 |
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.
doi: 10.1016/j.rse.2003.12.013 |
43 |
Marcovitch S, 1930. The measure of droughtiness.Monthly Weather Review, 58(3): 113-113.
doi: 10.1175/1520-0493(1930)58<113:TMOD>2.0.CO;2 |
44 |
McGuire J K, Palmer W C, 1957. The 1957 drought in the eastern United States.Monthly Weather Review, 85(9): 305-314.
doi: 10.1175/1520-0493(1957)085<0305:TDITEU>2.0.CO;2 |
23 |
Hao Z, AghaKouchak A, 2013. Multivariate Standardized Drought Index: A parametric multi-index model.Advances in Water Resources, 57: 12-18.
doi: 10.1016/j.advwatres.2013.03.009 |
24 |
Hao Z, AghaKouchak A, 2014. A Nonparametric Multivariate Multi-Index Drought Monitoring Framework.Journal of Hydrometeorology, 15(1): 89-101.
doi: 10.1175/JHM-D-12-0160.1 |
25 |
Hao Z, AghaKouchak A, Nakhjiri N.et al., 2014. Global integrated drought monitoring and prediction system.Scientific Data, 1.
doi: 10.1038/sdata.2014.1 |
26 |
Hao Z, Singh V P, 2015. Drought characterization from a multivariate perspective: A review.Journal of Hydrology, 527: 668-678.
doi: 10.1016/j.jhydrol.2015.05.031 |
45 | 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. |
46 |
McQuigg J, 1954. A simple index of drought conditions.Weatherwise, 7(3): 64-67.
doi: 10.1080/00431672.1954.9930323 |
27 | 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. |
28 |
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.
doi: 10.1175/1520-0477(2002)083<1149:AROTDI>2.3.CO;2 |
47 | Me Zhensheng, Ding Yuguo, 1990. Climate Statistics, 1963. Beijing: Science Press, 1990. (in Chinese) |
48 | 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. |
49 | 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). |
50 |
Mishra A K, Singh V P, 2010. A review of drought concepts.Journal of Hydrology, 391(1/2): 202-216.
doi: 10.1016/j.jhydrol.2010.07.012 |
51 |
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.
doi: 10.1007/s00477-007-0194-2 |
52 |
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.
doi: 10.1016/0034-4257(94)90020-5 |
53 | 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. |
54 |
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.
doi: 10.1175/BAMS-D-11-00213.1 |
55 |
Munger T T, 1916. Graphic method of representing and comparing drought INTENSITIES. 1.Monthly Weather Review, 44(11): 642-643.
doi: 10.1175/1520-0493(1916)44<642:GMORAC>2.0.CO;2 |
56 | Palmer W C, 1965. Meteorological drought, 30. US Department of Commerce, Weather Bureau Washington, DC, USA. |
57 | Palmer W C, 1968. Keeping track of crop moisture conditions, nationwide: The new crop moisture index.Weatherwise, 21: 156-161. |
58 |
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.
doi: 10.1016/j.jhydrol.2014.11.031 |
59 |
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.
doi: 10.1016/j.rse.2010.07.005 |
60 | Rodell M, 2012. Satellite gravimetry applied to drought monitoring. In: Remote Sensing of Drought: Innovative Monitoring Approaches. CRC Press, 261-277. |
61 |
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.
doi: 10.1109/JPROC.2009.2038947 |
62 |
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.
doi: 10.1016/S0034-4257(01)00274-7 |
63 | 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. |
64 |
Shah R D, Mishra V, 2015. Development of an experimental near-real-time drought monitor for India.Journal of Hydrometeorology, 16(1): 327-345.
doi: 10.1175/JHM-D-14-0041.1 |
65 | 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. |
66 | 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. |
67 | Van Rooy M P, 1965. A rainfall anomaly index independent of time and space.Notos, 14: 43-48. |
68 |
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.
doi: 10.1175/2012EI000434.1 |
69 | 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. |
70 | 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. |
71 |
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)
doi: 10.11676/qxxb2005.064 |
72 |
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)
doi: 10.3321/j.issn:1000-3037.2007.05.005 |
73 | 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) |
74 | Wells N, Goddard S, Hayes M J, 2004. A self-calibrating Palmer drought severity index.Journal of Climate, 17(12): 2335-2351. |
75 |
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.
doi: 10.1016/j.jag.2012.11.003 |
76 |
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.
doi: 10.1016/j.jag.2015.04.006 |
77 |
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)
doi: 10.11820/dlkxjz.2015.01.002 |
78 | Ye Duzheng, 1992. Prediction of Global Change in China. Beijing: China Meteorological Press, 1992. (in Chinese) |
79 |
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.
doi: 10.1016/j.rse.2013.02.023 |
80 |
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)
doi: 10.1109/WCICA.2006.1714382 |
81 | 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. |
82 |
Zhang Qiang, Zhang Liang, Cui Xiancheng.et al., 2011. Progresses and challenges in drought assessment and monitoring.Advances in Earth Sciences, 7: 763-778.
doi: 10.1016/B978-0-444-53599-3.10005-8 |
83 | 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. |
84 | 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. |
[1] | Shengfa LI, Xiubin LI. Global understanding of farmland abandonment: A review and prospects [J]. Journal of Geographical Sciences, 2017, 27(9): 1123-1150. |
[2] | Tao SONG, Dadao LU, Yi LIANG, Qian WANG, Jing LIN. Progress in international geopolitical research from 1996 to 2015 [J]. Journal of Geographical Sciences, 2017, 27(4): 497-512. |
[3] | Chuanglin FANG. Important progress and future direction of studies on China’s urban agglomerations [J]. Journal of Geographical Sciences, 2015, 25(8): 1003-1024. |
[4] | FENG Yan, HE Daming. Research progress on international rivers in Asia [J]. Journal of Geographical Sciences, 2006, 16(3): 271-276. |
[5] | HE Daming, ZHAO Wenjuan, FENG Yan. Research progress of international rivers in China [J]. Journal of Geographical Sciences, 2004, 14(Z): 21-28. |
[6] | YANG Guishan, JIANG Jiahu, WANG Sumin, LIU Zhengwen,WU Ruijin, PU Peimin. The lake science development in China [J]. Journal of Geographical Sciences, 2004, 14(Z): 38-44. |
[7] | LU Xianguo, JIANG Ming. Progress and prospect of wetland research in China [J]. Journal of Geographical Sciences, 2004, 14(Z): 45-51. |
[8] | WANG Tao. Progress in sandy desertification researchof China [J]. Journal of Geographical Sciences, 2004, 14(4): 387-400. |
|