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Analysis of High Temporal Resolution Land Use/Land Cover Trajectories

Author

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  • Jean-François Mas

    (Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, CP 58190 Morelia, Michoacan, Mexico
    Instituto Nacional de Ciência e Tecnologia em Estudos Interdisciplinares e Transdisciplinares em Ecologia e Evolução (INCT IN-TREE), CEP 40110-909 Salvador, Bahia, Brazil)

  • Rodrigo Nogueira de Vasconcelos

    (Instituto Nacional de Ciência e Tecnologia em Estudos Interdisciplinares e Transdisciplinares em Ecologia e Evolução (INCT IN-TREE), CEP 40110-909 Salvador, Bahia, Brazil
    PPG em Modelagem e Ciências da Terra e do Ambiente, Universidade Estadual de Feira de Santana, CEP 44036-900 Feira de Santana, Bahia, Brazil)

  • Washington Franca-Rocha

    (Instituto Nacional de Ciência e Tecnologia em Estudos Interdisciplinares e Transdisciplinares em Ecologia e Evolução (INCT IN-TREE), CEP 40110-909 Salvador, Bahia, Brazil
    PPG em Modelagem e Ciências da Terra e do Ambiente, Universidade Estadual de Feira de Santana, CEP 44036-900 Feira de Santana, Bahia, Brazil)

Abstract

In this study, methods, originally developed to assess life course trajectories, are explored in order to evaluate land change through the analysis of sequences of land use/cover. Annual land cover maps which describe land use/land cover change for the 1985–2017 period for a large region in Northeast Brazil were analyzed. The most frequent sequences, the entropy and the turbulence of the land trajectories, and the average time of permanence were computed. Clusters of similar sequences were determined using different dissimilarity measures. The effect of some covariates such as slope and distance from roads on land trajectories was also evaluated. The obtained results show the potential of these techniques to analyze land cover sequences since the availability of multidate land cover data with both, high temporal and thematic resolutions, is continuously increasing and poses significant challenges to data analysis.

Suggested Citation

  • Jean-François Mas & Rodrigo Nogueira de Vasconcelos & Washington Franca-Rocha, 2019. "Analysis of High Temporal Resolution Land Use/Land Cover Trajectories," Land, MDPI, vol. 8(2), pages 1-19, February.
    • Handle: RePEc:gam:jlands:v:8:y:2019:i:2:p:30-:d:203881
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    References listed on IDEAS

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    Cited by:

    1. Washington J. S. Franca Rocha & Rodrigo N. Vasconcelos & Diego P. Costa & Soltan Galano Duverger & Jocimara S. B. Lobão & Deorgia T. M. Souza & Stefanie M. Herrmann & Nerivaldo A. Santos & Rafael O. F, 2024. "Towards Uncovering Three Decades of LULC in the Brazilian Drylands: Caatinga Biome Dynamics (1985–2019)," Land, MDPI, vol. 13(8), pages 1-18, August.
    2. Baccar, Mariem & Raynal, Hélène & Sekhar, Muddu & Bergez, Jacques-Eric & Willaume, Magali & Casel, Pierre & Giriraj, P. & Murthy, Sanjeeva & Ruiz, Laurent, 2023. "Dynamics of crop category choices reveal strategies and tactics used by smallholder farmers in India to cope with unreliable water availability," Agricultural Systems, Elsevier, vol. 211(C).
    3. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.

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