Development and application of the temperature soil moisture precipitation drought index (TMPDI) based on multi-source remote sensing data
Received date: 2021-01-11
Revised date: 2021-03-03
Online published: 2021-09-24
Drought has a profound social and economic impact on the whole world. Reliable drought monitoring is of great significance to drought prevention and drought relief. In the areas with low vegetation coverage and crop planting rate, the accuracy of using vegetation status or single factor for drought monitoring is low, based on the simple and objective Euclidean distance method in three-dimensional Euclidean geometry space, a new drought index, temperature soil moisture precipitation drought index (TMPDI), was constructed for drought monitoring. Taking Gansu Province as the research area, the TMPDI was verified by using SPI, SPEI, other remote sensing data and wheat yield per unit area. The results showed that: TMPDI was highly correlated with SPI and SPEI(R2>0.64), which reduced the uncertainty of drought monitoring using precipitation or surface temperature, improved the accuracy and effectiveness of soil moisture in agricultural drought monitoring, and accurately describe the temporal and spatial evolution characteristics of drought events. At the same time, it can also better reflect the impact of drought intensity and drought area rates on wheat yield, which proves that TMPDI its high effectiveness and reliability in agricultural drought monitoring.
Key words： drought index; drought monitoring; remote sensing; MODIS; TRMM; GLEAM
MAN Yuanwei,LI Jing,XING Liting . Development and application of the temperature soil moisture precipitation drought index (TMPDI) based on multi-source remote sensing data[J]. Arid Zone Research, 2021 , 38(5) : 1442 -1451 . DOI: 10.13866/j.azr.2021.05.27
| [1] | Liu X, Zhu X, Pan Y, et al. Agricultural drought monitoring: Progress, challenges, and prospects[J]. Journal of Geographical Sciences, 2016, 26(6): 750-767. |
| [2] | Du L, Tian Q, Yu T, et al. A comprehensive drought monitoring method integrating MODIS and TRMM data[J]. International Journal of Applied Earth Observation & Geoinformation, 2013, 23: 245-253. |
| [3] | Yu F, Price K P, Ellis J, et al. Response of seasonal vegetation development to climatic variations in eastern central Asia[J]. Remote Sensing of Environment, 2003, 87(1): 42-54. |
| [4] | 孙博, 钱静, 陈曦, 等. 常见遥感干旱监测指标在哈萨克斯坦的一致性分析[J]. 干旱区研究, 2020, 37(3): 663-670. |
| [4] | [ Sun Bo, Qian Jing, Chen Xi, et al. Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan[J]. Arid Zorn Research, 2020, 37(3): 663-670. ] |
| [5] | Potopová V, Trnka M, Hamouz P, et al. Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe[J]. Agricultural Water Management, 2020, 236: 1-18. |
| [6] | Hwang T, Gholizadeh H, Sims D A, et al. Capturing species-level drought responses in a temperate deciduous forest using ratios of photochemical reflectance indices between sunlit and shaded canopies[J]. Remote Sensing of Environment, 2017, 199: 350-359. |
| [7] | 程文举, 席海洋, 司建华, 等. 河西内陆河浅山区流域蒸散发估算及干旱特性研究[J]. 干旱区研究, 2020, 37(5): 1105-1115. |
| [7] | [ Cheng Wenju, Xi Haiyang, Si Jianhua, et al. Study of evapotranspiration estimation and drought characteristics of watershed in low coteau area of Hexi inland river[J]. Arid Zone Research, 2020, 37(5): 1105-1115. ] |
| [8] | McKee T B, Doesken N J, Kleist J. The relationship of drought frequency and duration to time scales[J]. Eighth Conference on Applied Climatology, Anaheim, 1993: 17-24. |
| [9] | Vicente-Serrano S M, Santiago B, López-Moreno J I. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index[J]. Journal of Climate, 2010, 23(7): 1696-1718. |
| [10] | Palmer W C. Meteorological Drought (Research Paper No. 45)[R]. Washington: US Department of Commerce, Weather Bureau, 1965: 45-58. |
| [11] | Bhuiyan C, Singh R P, Kogan F N. Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data[J]. International Journal of Applied Earth Observation & Geoinformation, 2006, 8(4): 289-302. |
| [12] | Kogan F N. Application of vegetation index and brightness temperature for drought detection[J]. Advances in Space Research, 1995, 15(11): 91-100. |
| [13] | Du L, Tian Q, Yu T, et al. A comprehensive drought monitoring method integrating MODIS and TRMM data[J]. International Journal of Applied Earth Observation & Geoinformation, 2013, 23: 245-253. |
| [14] | Kogan F N, Stark R, Gitelson A, et al. Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices[J]. International Journal of Remote Sensing, 2004, 25(14), 2889-2896. |
| [15] | Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2002, 79 (2-3): 213-224. |
| [16] | Zhang A, Jia G. Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data[J]. Remote Sensing of Environment, 2013, 134: 12-23. |
| [17] | Campbell B M, Vermeulen S J, Aggarwal P K, et al. Reducing risks to food security from climate change[J]. Global Food Security, 2016, 11: 34-43. |
| [18] | 韩兰英, 张强, 赵红岩, 等. 甘肃省农业干旱灾害损失特征及其对气候变暖的响应[J]. 中国沙漠, 2016, 36(3) : 767-776. |
| [18] | [ Han Lanying, Zhang Qiang, Zhao Hongyan, et al. The characteristics of agricultural drought disaster loss and response to climate warming in Gansu, China[J]. Journal of Desert Research, 2016, 36(3): 767-776. ] |
| [19] | 中国气象局. 中国气象灾害年鉴(2004)[M]. 北京: 气象出版社, 2005. |
| [19] | [ China Meteorological Administration. Yearbook of Meteorological Disasters in China 2004[M]. Beijing: China Meteorological Press, 2005. ] |
| [20] | Wei W, Pang S, Wang X, et al. Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China[J]. Remote Sensing of Environment, 2020, 248: 1-18. |
| [21] | 刘德祥, 白虎志, 宁惠芳, 等. 气候变暖对甘肃干旱气象灾害的影响[J]. 冰川冻土, 2006, 28(5): 707-712. |
| [21] | [ Liu Dexiang, Bai Huzhi, Ning Huifang, et al. Response of arid meteorological disaster to climatic warming in Gansu Province[J]. Journal of Glaciology and Geocryology, 2006, 28(5): 707-712. ] |
| [22] | Ye L, Fang L, Shi Z, et al. Spatio-temporal dynamics of soil moisture driven by ‘Grain for Green’ program on the Loess Plateau, China[J]. Agriculture Ecosystems & Environment, 2019, 269: 204-214. |
| [23] | Loon A V. Hydrological drought explained[J]. WIREs Water, 2015, 2: 359-392. |
| [24] | Qi L A, Sha Z A, Hz C, et al. Monitoring drought using composite drought indices based on remote sensing[J]. Science of The Total Environment, 2020, 711: 1-10. |
| [25] | Mesquita D, Gomes J, Junior A S, et al. Euclidean distance estimation in incomplete datasets[J]. Neurocomputing, 2017, 248: 11-18. |
| [26] | Amani M, Salehi B, Mahdavi S, et al. Temperature-Vegetation-soil Moisture Dryness Index (TVMDI)[J]. Remote Sensing of Environment, 2017, 197: 1-14. |
| [27] | 张强, 邹旭恺, 肖风劲, 等.气象干旱等级(GB/T 20481-2006)[S]. 北京: 中国标准出版社, 2006: 12-17. |
| [27] | [ Zhang Qiang, Zou Xukai, Xiao Fengjin, et al. Classification of Meteorological Drought Category (GB/T20481-2006)[S]. Beijing: Standards Press of China, 2006: 12-17. ] |
| [28] | 甘肃省地方史志办公室. (甘肃年鉴2019)[M]. 兰州: 甘肃民族出版社, 2019. |
| [28] | [Office of Local Chronicles of Gansu Province. Gansu Yearbook 2019[M]. Lanzhou: Gansu Nationalities Publishing House, 2019. ] |
| [29] | Mishra A K, Singh V P. A review of drought concepts[J]. Journal of Hydrology, 2010, 391(1-2): 202-216. |
| [30] | Daryanto S, Wang L, Jacinthe P A. Global synthesis of drought effects on cereal, legume, tuber and root crops production: A review[J]. Agricultural Water Management, 2016, 179: 18-33. |
| [31] | 余慧倩, 张强, 孙鹏, 等. 干旱强度及发生时间对华北平原五省冬小麦产量影响[J]. 地理学报, 2019, 74(1): 87-102. |
| [31] | [ Yu Huiqian, Zhang Qiang, Sun Peng, et al. Impacts of drought intensity and drought duration on winter wheat yield in five provinces of north China plain[J]. Acta Geographica Sinica, 2019, 74(1): 87-102. ] |
| [32] | Çakir R. Effect of water stress at different development stages on vegetative and reproductive growth of corn[J]. Field Crops Research, 2004, 89(1): 1-16. |
| [33] | Wang S, Mo X, Liu S, et al. Validation and trend analysis of ECV soil moisture data on cropland in North China Plain during 1981-2010[J]. International Journal of Applied Earth Observation and Geoinformation, ,2015,, 48: 110-121. |
| [34] | Anyamba A, Tucker C J. Historical perspectives on AVHRR NDVI and vegetation drought monitoring[J]. NASA Publications, 2012, 217. http://digitalcommons.unl.edu/nasapub/217. |
| [35] | Loon A V, Laaha G. Hydrological drought severity explained by climate and catchment characteristics[J]. Journal of Hydrology, 2015, 526: 3-14. |
/
| 〈 |
|
〉 |