IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v245y2021ics0378377420321831.html
   My bibliography  Save this article

Drought monitoring of the maize planting areas in Northeast and North China Plain

Author

Listed:
  • Wan, Wei
  • Liu, Zhong
  • Li, Kejiang
  • Wang, Guiman
  • Wu, Hanqing
  • Wang, Qingyun

Abstract

Remote sensing technology can cost-effectively access to a wide range of real-time land surface spatial information, therefore it is widely used in agricultural crops monitoring. And timely assessment of drought stress using remote sensing is valuable for improving the crop management level. In this study, the drought stress was evaluated in the maize planting areas of the Northeast and North China Plain using satellite remote sensing technology. The absolute distance index was used to identify the spatial pattern of the maize planting areas using the moderate resolution imaging spectroradiometer (MODIS) derived enhanced vegetation index data that processed with Savitzky–Golay filter. The temperature vegetation drought index (TVDI) was derived from MODIS normalized difference vegetation index and land surface temperature data. Simultaneously, soil moisture content (SMC) was obtained for an eight-day period and matched with satellite remote sensing data to characterize the drought stress of maize. After estimating the field capacity and wilting point, the SMC was further transformed into the real available water content (RAWC) of the soil. Our results indicated that negative correlations between RAWC and TVDI was observed for the 0–10 cm (R2 = 0.594) and 20–30 cm (R2 = 0.641) soil layers, respectively, which was significantly better than the correlation between the SMC and TVDI in the 0–10 (R2 = 0.396) and 20–30 cm (R2 = 0.499) soil layers. Moreover, the sensitive period regarding the maize water demand were identified (day of year 161, 169, 233, 241, and 249) via the linear regression analysis of the measured maize yield and TVDI for eight-day intervals. Furthermore, the weights of the water demand of maize in different growth stages was determined via multiple linear regression analysis, and a comprehensive drought index (TVDISW) was established to evaluate the drought stress in the whole maize growth period. Eventually, a comprehensive analysis for the drought stress in the study area was conducted combined with various environmental factors. Furthermore, the performance of this method was independent of the meteorological and field survey data, which may facilitate the mapping of drought monitoring of crops planting areas at a large scale.

Suggested Citation

  • Wan, Wei & Liu, Zhong & Li, Kejiang & Wang, Guiman & Wu, Hanqing & Wang, Qingyun, 2021. "Drought monitoring of the maize planting areas in Northeast and North China Plain," Agricultural Water Management, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420321831
    DOI: 10.1016/j.agwat.2020.106636
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377420321831
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106636?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Shiliang & Yin, Yijie & Liu, Xuehua & Cheng, Fangyan & Yang, Juejie & Li, Junran & Dong, Shikui & Zhu, Annah, 2017. "Ecosystem Services and landscape change associated with plantation expansion in a tropical rainforest region of Southwest China," Ecological Modelling, Elsevier, vol. 353(C), pages 129-138.
    2. Zhang, Shaohui & Wang, Haidong & Sun, Xin & Fan, Junliang & Zhang, Fucang & Zheng, Jing & Li, Yuepeng, 2021. "Effects of farming practices on yield and crop water productivity of wheat, maize and potato in China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 243(C).
    3. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
    4. Wu, Dong & Fang, Shibo & Li, Xuan & He, Di & Zhu, Yongchao & Yang, Zaiqiang & Xu, Jiaxin & Wu, Yingjie, 2019. "Spatial-temporal variation in irrigation water requirement for the winter wheat-summer maize rotation system since the 1980s on the North China Plain," Agricultural Water Management, Elsevier, vol. 214(C), pages 78-86.
    5. Xinchuang Xu & Quansheng Ge & Jingyun Zheng & Erfu Dai & Xuezhen Zhang & Shanfeng He & Guangxu Liu, 2013. "Agricultural drought risk analysis based on three main crops in prefecture-level cities in the monsoon region of east China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 1257-1272, March.
    6. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
    7. Hu, Shi & Mo, Xingguo & Huang, Farong, 2019. "Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion," Agricultural Water Management, Elsevier, vol. 226(C).
    8. Ould Ahmed, B.A. & Inoue, M. & Moritani, S., 2010. "Effect of saline water irrigation and manure application on the available water content, soil salinity, and growth of wheat," Agricultural Water Management, Elsevier, vol. 97(1), pages 165-170, January.
    9. Jianjun Wu & Bin He & Aifeng Lü & Lei Zhou & Ming Liu & Lin Zhao, 2011. "Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(3), pages 785-801, March.
    10. Mihály Kocsis & Attila Dunai & András Makó & Andrea Farsang & János Mészáros, 2020. "Estimation of the drought sensitivity of Hungarian soils based on corn yield responses," Journal of Maps, Taylor & Francis Journals, vol. 16(2), pages 148-154, December.
    11. Lu Hao & Xiaoyu Zhang & Shoudong Liu, 2012. "Risk assessment to China’s agricultural drought disaster in county unit," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(2), pages 785-801, March.
    12. Lee, Yonggwan & Jung, Chunggil & Kim, Seongjoon, 2019. "Spatial distribution of soil moisture estimates using a multiple linear regression model and Korean geostationary satellite (COMS) data," Agricultural Water Management, Elsevier, vol. 213(C), pages 580-593.
    13. Lu, Hai-dong & Xue, Ji-quan & Guo, Dong-wei, 2017. "Efficacy of planting date adjustment as a cultivation strategy to cope with drought stress and increase rainfed maize yield and water-use efficiency," Agricultural Water Management, Elsevier, vol. 179(C), pages 227-235.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodigheri, Grazieli & Fontana, Denise Cybis & da Luz, Luana Becker & Dalmago, Genei Antonio & Schirmbeck, Lucimara Wolfarth & Schirmbeck, Juliano & de Gouvêa, Jorge Alberto & da Cunha, Gilberto Rocca, 2024. "TVDI-based water stress coefficient to estimate net primary productivity in soybean areas," Ecological Modelling, Elsevier, vol. 490(C).
    2. Chen, Qi & Qu, Zhaoming & Ma, Guohua & Wang, Wenjing & Dai, Jiaying & Zhang, Min & Wei, Zhanbo & Liu, Zhiguang, 2022. "Humic acid modulates growth, photosynthesis, hormone and osmolytes system of maize under drought conditions," Agricultural Water Management, Elsevier, vol. 263(C).
    3. Xuefeng Peng & Shiqi Zhang & Peihao Peng & Ailin Chen & Yang Li & Juan Wang & Maoyang Bai, 2023. "Unraveling the Ecological Tapestry: A Comprehensive Assessment of Changtang Nature Reserve’s Ecological and Environmental Using RSEI and GEE," Land, MDPI, vol. 12(8), pages 1-19, August.
    4. Zhao, Junfang & Peng, Huiwen & Yang, Jiaqi & Huang, Ruixi & Huo, Zhiguo & Ma, Yuping, 2024. "Response of winter wheat to different drought levels based on Google Earth Engine in the Huang-Huai-Hai Region, China," Agricultural Water Management, Elsevier, vol. 292(C).
    5. Wan, Wei & Han, Yiwen & Wu, Hanqing & Liu, Fan & Liu, Zhong, 2021. "Application of the source–sink landscape method in the evaluation of agricultural non-point source pollution: First estimation of an orchard-dominated area in China," Agricultural Water Management, Elsevier, vol. 252(C).
    6. Yanping Hu & Xu Yang & Xin Gao & Jingxiao Zhang & Lanxin Kang, 2024. "Analysis of Spatio-Temporal Evolution and Driving Factors of Eco-Environmental Quality during Highway Construction Based on RSEI," Land, MDPI, vol. 13(4), pages 1-20, April.
    7. Zhiqiang Zhang & Lijuan Huo & Yuxin Su & He Shen & Gaiqiang Yang, 2024. "Estimation of Corn Net Primary Productivity and Carbon Sequestration Based on the CASA Model: A Case Study of the Fen River Basin," Sustainability, MDPI, vol. 16(7), pages 1-18, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huili Chen & Zhongyao Liang & Yong Liu & Qingsong Jiang & Shuguang Xie, 2018. "Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 525-541, May.
    2. Zhao Zhang & Yi Chen & Pin Wang & Shuai Zhang & Fulu Tao & Xiaofei Liu, 2014. "Spatial and temporal changes of agro-meteorological disasters affecting maize production in China since 1990," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2087-2100, April.
    3. P. Vijaya Kumar & Mohammed Osman & P. K. Mishra, 2019. "Development and application of a new drought severity index for categorizing drought-prone areas: a case study of undivided Andhra Pradesh state, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 793-812, June.
    4. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu & Xiaotian Gu & Zhonghui Ji, 2013. "Exploring the characteristics of major natural disasters in China and their impacts during the past decades," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 829-843, October.
    5. Jingpeng Guo & Kebiao Mao & Yinghui Zhao & Zhong Lu & Xiaoping Lu, 2019. "Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    6. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    7. Kedi Liu & Ranran Wang & Inge Schrijver & Rutger Hoekstra, 2024. "Can we project well-being? Towards integral well-being projections in climate models and beyond," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    8. Yue Zhao & Zaiwu Gong & Wenhao Wang & Kai Luo, 2014. "The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(2), pages 1001-1016, March.
    9. El-Saied E. Metwaly & Hatim M. Al-Yasi & Esmat F. Ali & Hamada A. Farouk & Saad Farouk, 2022. "Deteriorating Harmful Effects of Drought in Cucumber by Spraying Glycinebetaine," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    10. repec:ags:aaea22:335489 is not listed on IDEAS
    11. Nina Tiel & Fabian Fopp & Philipp Brun & Johan Hoogen & Dirk Nikolaus Karger & Cecilia M. Casadei & Lisha Lyu & Devis Tuia & Niklaus E. Zimmermann & Thomas W. Crowther & Loïc Pellissier, 2024. "Regional uniqueness of tree species composition and response to forest loss and climate change," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    12. Elliott R. Dossou-Yovo & Sander J. Zwart & Amadou Kouyaté & Ibrahima Ouédraogo & Oladele Bakare, 2018. "Predictors of Drought in Inland Valley Landscapes and Enabling Factors for Rice Farmers’ Mitigation Measures in the Sudan-Sahel Zone," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    13. Teerachai Amnuaylojaroen & Pavinee Chanvichit, 2024. "Historical Analysis of the Effects of Drought on Rice and Maize Yields in Southeast Asia," Resources, MDPI, vol. 13(3), pages 1-18, March.
    14. N. Zhang & H. Huang, 2018. "Assessment of world disaster severity processed by Gaussian blur based on large historical data: casualties as an evaluating indicator," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 173-187, May.
    15. Linghua Qiu & Junhao He & Chao Yue & Philippe Ciais & Chunmiao Zheng, 2024. "Substantial terrestrial carbon emissions from global expansion of impervious surface area," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    16. Liu, Zhipeng & Jiao, Xiyun & Zhu, Chengli & Katul, Gabriel G. & Ma, Junyong & Guo, Weihua, 2021. "Micro-climatic and crop responses to micro-sprinkler irrigation," Agricultural Water Management, Elsevier, vol. 243(C).
    17. Teresa Armada Brás & Jonas Jägermeyr & Júlia Seixas, 2019. "Exposure of the EU-28 food imports to extreme weather disasters in exporting countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1373-1393, December.
    18. Huang, Yawen & Tao, Bo & Lal, Rattan & Lorenz, Klaus & Jacinthe, Pierre-Andre & Shrestha, Raj K. & Bai, Xiongxiong & Singh, Maninder P. & Lindsey, Laura E. & Ren, Wei, 2023. "A global synthesis of biochar's sustainability in climate-smart agriculture - Evidence from field and laboratory experiments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    19. Mark A. Anthony & Leho Tedersoo & Bruno Vos & Luc Croisé & Henning Meesenburg & Markus Wagner & Henning Andreae & Frank Jacob & Paweł Lech & Anna Kowalska & Martin Greve & Genoveva Popova & Beat Frey , 2024. "Fungal community composition predicts forest carbon storage at a continental scale," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    20. Singh, Kuntal & McClean, Colin J. & Büker, Patrick & Hartley, Sue E. & Hill, Jane K., 2017. "Mapping regional risks from climate change for rainfed rice cultivation in India," Agricultural Systems, Elsevier, vol. 156(C), pages 76-84.
    21. Marcinkowski, Paweł & Piniewski, Mikołaj, 2024. "Future changes in crop yield over Poland driven by climate change, increasing atmospheric CO2 and nitrogen stress," Agricultural Systems, Elsevier, vol. 213(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420321831. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.