IDEAS home Printed from https://ideas.repec.org/a/gam/jgeogr/v2y2022i4p36-608d931935.html
   My bibliography  Save this article

Techniques of Geoprocessing via Cloud in Google Earth Engine Applied to Vegetation Cover and Land Use and Occupation in the Brazilian Semiarid Region

Author

Listed:
  • Jhon Lennon Bezerra da Silva

    (National Institute of the Semiarid (INSA), Center for Information Management and Science Popularization, Campina Grande 58434-700, Paraiba, Brazil
    Department of Agricultural Engineering, Federal Rural University of Pernambuco (UFRPE), Av. D. Manoel de Medeiros, SN, Recife 52171-900, Pernambuco, Brazil)

  • Daiana Caroline Refati

    (National Institute of the Semiarid (INSA), Center for Information Management and Science Popularization, Campina Grande 58434-700, Paraiba, Brazil)

  • Ricardo da Cunha Correia Lima

    (National Institute of the Semiarid (INSA), Center for Information Management and Science Popularization, Campina Grande 58434-700, Paraiba, Brazil)

  • Ailton Alves de Carvalho

    (National Institute of the Semiarid (INSA), Center for Information Management and Science Popularization, Campina Grande 58434-700, Paraiba, Brazil)

  • Maria Beatriz Ferreira

    (Department of Forest Sciences, Federal Rural University of Pernambuco (UFRPE), Av. D. Manoel de Medeiros, SN, Recife 52171-900, Pernambuco, Brazil)

  • Héliton Pandorfi

    (Department of Agricultural Engineering, Federal Rural University of Pernambuco (UFRPE), Av. D. Manoel de Medeiros, SN, Recife 52171-900, Pernambuco, Brazil)

  • Marcos Vinícius da Silva

    (Department of Agricultural Engineering, Federal Rural University of Pernambuco (UFRPE), Av. D. Manoel de Medeiros, SN, Recife 52171-900, Pernambuco, Brazil)

Abstract

Thematic maps of land cover and use can assist in the environmental monitoring of semiarid regions, mainly due to the advent of climate change, such as drought, and pressures from anthropic activities, such as the advance of urban areas. The use of geotechnologies is key for its effectiveness and low operating cost. The objective was to evaluate and understand the spatiotemporal dynamics of the loss and gain of land cover and use in a region of the Brazilian semiarid region, and identify annual trends from changing conditions over 36 years (1985 to 2020), using cloud remote sensing techniques in Google Earth Engine (GEE). Thematic maps of land cover and land use from MapBiomas Brazil were used, evaluated by Mann–Kendall trend analysis. The Normalized Difference Vegetation Index (NDVI) was also determined from the digital processing of about 800 orbital images (1985 to 2020) from the Landsat series of satellites. The trend analysis for land cover and use detected, over time, the loss of forest areas and water bodies, followed by the advance of exposed soil areas and urban infrastructure. The modification of native vegetation directly influences water availability, and agricultural activities increase the pressure on water resources, mainly in periods of severe drought. The NDVI detected that the period from 2013 to 2020 was most affected by climatic variability conditions, with extremely low average values. Thematic maps of land cover and use and biophysical indices are essential indicators to mitigate environmental impacts in the Brazilian semiarid region.

Suggested Citation

  • Jhon Lennon Bezerra da Silva & Daiana Caroline Refati & Ricardo da Cunha Correia Lima & Ailton Alves de Carvalho & Maria Beatriz Ferreira & Héliton Pandorfi & Marcos Vinícius da Silva, 2022. "Techniques of Geoprocessing via Cloud in Google Earth Engine Applied to Vegetation Cover and Land Use and Occupation in the Brazilian Semiarid Region," Geographies, MDPI, vol. 2(4), pages 1-16, October.
    • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:4:p:36-608:d:931935
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-7086/2/4/36/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2673-7086/2/4/36/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    2. Chauvin, Juan Pablo & Glaeser, Edward & Ma, Yueran & Tobio, Kristina, 2017. "What is different about urbanization in rich and poor countries? Cities in Brazil, China, India and the United States," Journal of Urban Economics, Elsevier, vol. 98(C), pages 17-49.
    3. Shruti Kanga & Suraj Kumar Singh & Gowhar Meraj & Anup Kumar & Ruby Parveen & Nikola Kranjčić & Bojan Đurin, 2022. "Assessment of the Impact of Urbanization on Geoenvironmental Settings Using Geospatial Techniques: A Study of Panchkula District, Haryana," Geographies, MDPI, vol. 2(1), pages 1-10, January.
    Full references (including those not matched with items on IDEAS)

    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. Guedes, Ricardo & Iachan, Felipe S. & Sant’Anna, Marcelo, 2023. "Housing supply in the presence of informality," Regional Science and Urban Economics, Elsevier, vol. 99(C).
    2. repec:zbw:bofitp:2020_023 is not listed on IDEAS
    3. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    4. E. A. Kolomak & A. O. Nezavitina, 2021. "Assessment of the Spatial Externalities of Major Cities on the Housing Market of Small and Medium-Sized Cities," Regional Research of Russia, Springer, vol. 11(3), pages 308-314, July.
    5. Juan Li & Xunzhou Chunyu & Feng Huang, 2022. "Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    6. Dingel, Jonathan I. & Miscio, Antonio & Davis, Donald R., 2021. "Cities, lights, and skills in developing economies," Journal of Urban Economics, Elsevier, vol. 125(C).
    7. Edward L. Glaeser, 2021. "Urban Resilience," NBER Working Papers 29261, National Bureau of Economic Research, Inc.
    8. Venables, Anthony & Duranton, Gilles, 2018. "Place-Based Policies for Development," CEPR Discussion Papers 12889, C.E.P.R. Discussion Papers.
    9. Depetris-Chauvin, Emilio & Santos, Rafael J., 2018. "Unexpected guests: The impact of internal displacement inflows on rental prices in Colombian host cities," Journal of Development Economics, Elsevier, vol. 134(C), pages 289-309.
    10. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    11. Gollin, Douglas & Lagakos, David & Kirchberger, Martina, 2017. "In Search of a Spatial Equilibrium in the Developing World," CEPR Discussion Papers 12114, C.E.P.R. Discussion Papers.
    12. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    13. Kumar, Rishabh & Balasubramanian, Sriram & Loungani, Prakash, 2022. "Inequality and locational determinants of the distribution of living standards in India," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 59-69.
    14. Ch, Rafael & Martin, Diego A. & Vargas, Juan F., 2021. "Measuring the size and growth of cities using nighttime light," Journal of Urban Economics, Elsevier, vol. 125(C).
    15. Combes, Pierre-Philippe & Démurger, Sylvie & Li, Shi & Wang, Jianguo, 2020. "Unequal migration and urbanisation gains in China," Journal of Development Economics, Elsevier, vol. 142(C).
    16. Ke Huang & Martin Dallimer & Lindsay C. Stringer & Anlu Zhang & Ting Zhang, 2021. "Does Economic Agglomeration Lead to Efficient Rural to Urban Land Conversion? An Examination of China’s Metropolitan Area Development Strategy," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    17. Lu Liu & Yu Tian & Haiquan Chen, 2023. "The Costs of Agglomeration: Misallocation of Credit in Chinese Cities," Land, MDPI, vol. 12(3), pages 1-19, February.
    18. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    19. Frederik Wild & David Stadelmann, 2021. "Coastal Proximity and Individual Living Standards: Econometric Evidence from Geo-Referenced Household Surveys," CREMA Working Paper Series 2021-22, Center for Research in Economics, Management and the Arts (CREMA).
    20. Han Huang & Yang Zhou & Mingjie Qian & Zhaoqi Zeng, 2021. "Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province," Land, MDPI, vol. 10(1), pages 1-15, January.
    21. Rana Hasan & Yi Jiang & Radine Michelle Rafols, 2017. "Urban Agglomeration Effects in India: Evidence from Town-Level Data," Asian Development Review, MIT Press, vol. 34(2), pages 201-228, September.

    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:jgeogr:v:2:y:2022:i:4:p:36-608:d:931935. 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.