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Dynamic Modeling of Land Use and Coverage Changes in the Dryland Pernambuco, Brazil

Author

Listed:
  • Cinthia Pereira de Oliveira

    (Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá CEP 68901–262, Brazil)

  • Robson Borges de Lima

    (Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá CEP 68901–262, Brazil)

  • Francisco Tarcísio Alves Junior

    (Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá CEP 68901–262, Brazil)

  • Mayara Maria de Lima Pessoa

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

  • Anderson Francisco da Silva

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

  • Nattan Adler Tavares dos Santos

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

  • Iran Jorge Corrêa Lopes

    (Departamento de Ciência Florestal, Universidade Federal do Paraná, Curitiba CEP 80210-170, Brazil)

  • Cybelle Laís Souto-Maior Sales de Melo

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

  • Emanuel Araújo Silva

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

  • José Antônio Aleixo da Silva

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

  • Rinaldo Luiz Caraciolo Ferreira

    (Laboratório de Manejo de Florestas Naturais “José Serafim Feitosa Ferraz”, Departamento de Ciência Florestal, Universidade Federal Rural de Pernambuco, Recife CEP 52171-900, Brazil)

Abstract

The objective of this work was to carry out a multitemporal analysis of changes in land use and land cover in the municipality of Floresta, Pernambuco State in Brazil. Landsat images were used in the years 1985, 1989, 1993, 1997, 2001, 2005, 2009, 2014, and 2019, and the classes were broken down into areas: water, exposed soil, agriculture, and forestry, and using the Bhattacharya classifier, the classification was carried out for generating land use maps. The data was validated by the Kappa index and points collected in the field, and the projection of the dynamics of use for 2024 was constructed. The thematic maps of land use and coverage from 1985 to 2019 show more significant changes in the forest and exposed soil classes. The increase in the forest class and the consequent reduction in exposed soil are consequences of the interaction between climate and human activities and the quality of the spatial resolution of the satellite images used between the years analyzed.

Suggested Citation

  • Cinthia Pereira de Oliveira & Robson Borges de Lima & Francisco Tarcísio Alves Junior & Mayara Maria de Lima Pessoa & Anderson Francisco da Silva & Nattan Adler Tavares dos Santos & Iran Jorge Corrêa , 2022. "Dynamic Modeling of Land Use and Coverage Changes in the Dryland Pernambuco, Brazil," Land, MDPI, vol. 11(7), pages 1-12, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:998-:d:852984
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    References listed on IDEAS

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    1. Laterra, Pedro & Nahuelhual, Laura & Vallejos, María & Berrouet, Lina & Arroyo Pérez, Erika & Enrico, Lucas & Jiménez-Sierra, Cecilia & Mejía, Kathya & Meli, Paula & Rincón-Ruíz, Alexander & Salas, Da, 2019. "Linking inequalities and ecosystem services in Latin America," Ecosystem Services, Elsevier, vol. 36(C), pages 1-1.
    2. Zimu Jia & Bingran Ma & Jing Zhang & Weihua Zeng, 2018. "Simulating Spatial-Temporal Changes of Land-Use Based on Ecological Redline Restrictions and Landscape Driving Factors: A Case Study in Beijing," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
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    Cited by:

    1. Naomi di Santo & Ilaria Russo & Roberta Sisto, 2022. "Climate Change and Natural Resource Scarcity: A Literature Review on Dry Farming," Land, MDPI, vol. 11(12), pages 1-25, November.

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