IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i7p619-d73195.html
   My bibliography  Save this article

Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions

Author

Listed:
  • Hui Gao

    (Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jintong Liu

    (Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China)

  • A. Egrinya Eneji

    (Department of Soil Science, Faculty of Agriculture, University of Calabar, Calabar PMB 1115, Nigeria)

  • Lipu Han

    (Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China)

  • Limei Tan

    (Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050022, China)

Abstract

Managing the rapidly changing saline-alkali land under cultivation in the coastal areas of China is important not only for mitigating the negative impacts of such land on the environment, but also for ensuring long-term sustainability of agriculture. In this light, setting up rapid monitoring systems to assist decision-making in developing sustainable management plans is therefore an absolute necessity. In this study, we developed a new interpretation system where symbols are used to grade and classify saline-alkali lands in space and time, based on the characteristics of plant cover and features of remote sensing images. The system was used in combination with the maximum likelihood supervised classification to analyze the changes in cultivated lands under saline-alkali conditions in Huanghua City. The analysis revealed changes in the area and spatial distribution of cultivated under saline-alkali conditions in the region. The total area of saline-alkali land was 139,588.8 ha in 1992 and 134,477.5 ha in 2011. Compared with 1992, severely and moderately saline-alkali land areas decreased in 2011. However, non/slightly saline land areas increased over that in 1992. The results showed that the salinization rate of arable lands in Huanghua City decreased from 1992 to 2011. The moderately saline-alkali land southeast of the city transformed into non/slightly saline-alkaline. Then, severely saline-alkali land far from the coastal zone west of the city became moderately saline-alkaline. Spatial changes in cultivated saline-alkali lands in Huanghua City were such that the centers of gravity (CG) of severely and non/slightly saline-alkali land moved closer the coastline, while that of the moderately saline-alkali land moved from southwest coastal line to northwest. Factors influencing changes in cultivated lands in the saline-alkali ecosystem included climate, hydrology and human activity. Thus, studies are required to further explore these factors in order to build a better understanding into the relative contributions of the changes saline-alkali state on the functions of coastline ecosystems.

Suggested Citation

  • Hui Gao & Jintong Liu & A. Egrinya Eneji & Lipu Han & Limei Tan, 2016. "Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:619-:d:73195
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/7/619/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/7/619/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Ruihong & Liu, Tingxi & Xu, Youpeng & Zhu, Chao & Zhang, Qing & Qu, Zhongyi & Liu, Xiaomin & Li, Changyou, 2010. "Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China," Agricultural Water Management, Elsevier, vol. 97(12), pages 1952-1960, November.
    2. Konukcu, F. & Gowing, J.W. & Rose, D.A., 2006. "Dry drainage: A sustainable solution to waterlogging and salinity problems in irrigation areas?," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 1-12, May.
    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. Jamal Jokar Arsanjani & Eric Vaz, 2017. "Special Issue Editorial: Earth Observation and Geoinformation Technologies for Sustainable Development," Sustainability, MDPI, vol. 9(5), pages 1-5, May.
    2. Ciro Apollonio & Gabriella Balacco & Antonio Novelli & Eufemia Tarantino & Alberto Ferruccio Piccinni, 2016. "Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    3. Yongzhong Tan & Ju He & Zhenning Yu & Yonghua Tan, 2018. "Can Arable Land Alone Ensure Food Security? The Concept of Arable Land Equivalent Unit and Its Implications in Zhoushan City, China," Sustainability, MDPI, vol. 10(4), pages 1-13, March.
    4. Jing Wang & Aiqin Zhao & Fei Ma & Jili Liu & Guoju Xiao & Xing Xu, 2023. "Amendment of Saline–Alkaline Soil with Flue-Gas Desulfurization Gypsum in the Yinchuan Plain, Northwest China," Sustainability, MDPI, vol. 15(11), pages 1-11, May.

    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. Mao, Wei & Zhu, Yan & Wu, Jingwei & Ye, Ming & Yang, Jinzhong, 2022. "Evaluation of effects of limited irrigation on regional-scale water movement and salt accumulation in arid agricultural areas," Agricultural Water Management, Elsevier, vol. 262(C).
    2. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    3. Feng Tian & Haibin Shi & Qingfeng Miao & Ruiping Li & Jie Duan & Xu Dou & Weiying Feng, 2023. "Soil Water and Salt Transport in Severe Saline–Alkali Soil after Ditching under Subsurface Pipe Drainage Conditions," Agriculture, MDPI, vol. 13(12), pages 1-20, November.
    4. Du, Ruiqi & Chen, Junying & Zhang, Zhitao & Chen, Yinwen & He, Yujie & Yin, Haoyuan, 2022. "Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model," Agricultural Water Management, Elsevier, vol. 265(C).
    5. Singh, Ajay, 2016. "Managing the water resources problems of irrigated agriculture through geospatial techniques: An overview," Agricultural Water Management, Elsevier, vol. 174(C), pages 2-10.
    6. Romeu Gerardo & Isabel P. de Lima, 2022. "Sentinel-2 Satellite Imagery-Based Assessment of Soil Salinity in Irrigated Rice Fields in Portugal," Agriculture, MDPI, vol. 12(9), pages 1-20, September.
    7. Thomas Spencer & Tihomir Ancev & Jeff Connor, 2009. "Improving Cost Effectiveness of Irrigation Zoning for Salinity Mitigation by Introducing Offsets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 2085-2100, August.
    8. Vandersypen, K. & Keita, A.C.T. & Coulibaly, B. & Raes, D. & Jamin, J.-Y., 2007. "Drainage problems in the rice schemes of the Office du Niger (Mali) in relation to water management," Agricultural Water Management, Elsevier, vol. 89(1-2), pages 153-160, April.
    9. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    10. Marlet, Serge & Bouksila, Fethi & Bahri, Akissa, 2009. "Water and salt balance at irrigation scheme scale: A comprehensive approach for salinity assessment in a Saharan oasis," Agricultural Water Management, Elsevier, vol. 96(9), pages 1311-1322, September.
    11. Ajay Singh & Sudhindra Panda, 2013. "Optimization and Simulation Modelling for Managing the Problems of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3421-3431, July.
    12. Xue, Jingyuan & Guan, Huade & Huo, Zailin & Wang, Fengxin & Huang, Guanhua & Boll, Jan, 2017. "Water saving practices enhance regional efficiency of water consumption and water productivity in an arid agricultural area with shallow groundwater," Agricultural Water Management, Elsevier, vol. 194(C), pages 78-89.
    13. Guanfang Sun & Yan Zhu & Zhaoliang Gao & Jinzhong Yang & Zhongyi Qu & Wei Mao & Jingwei Wu, 2022. "Spatiotemporal Patterns and Key Driving Factors of Soil Salinity in Dry and Wet Years in an Arid Agricultural Area with Shallow Groundwater Table," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    14. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    15. Gowing, J.W. & Rose, D.A. & Ghamarnia, H., 2009. "The effect of salinity on water productivity of wheat under deficit irrigation above shallow groundwater," Agricultural Water Management, Elsevier, vol. 96(3), pages 517-524, March.
    16. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
    17. Chowdary, V.M. & Chandran, R. Vinu & Neeti, N. & Bothale, R.V. & Srivastava, Y.K. & Ingle, P. & Ramakrishnan, D. & Dutta, D. & Jeyaram, A. & Sharma, J.R. & Singh, Ravindra, 2008. "Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS," Agricultural Water Management, Elsevier, vol. 95(7), pages 754-766, July.
    18. Turunen, M. & Warsta, L. & Paasonen-Kivekäs, M. & Nurminen, J. & Myllys, M. & Alakukku, L. & Äijö, H. & Puustinen, M. & Koivusalo, H., 2013. "Modeling water balance and effects of different subsurface drainage methods on water outflow components in a clayey agricultural field in boreal conditions," Agricultural Water Management, Elsevier, vol. 121(C), pages 135-148.
    19. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    20. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.

    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:gam:jsusta:v:8:y:2016:i:7:p:619-:d:73195. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.