Study of land uses in the Sorocabuçu River watershed, Ibiúna-SP, (Brazil) for the evaluation of eligible areas in MDL projects

cuenca hidrográfica del río Sorocabuçu, Ibiúna-SP (Brasil)

Authors

DOI:

https://doi.org/10.18172/cig.6052

Keywords:

Geoprocessing, Atlantic forest, Environment modeling, Vegetation index

Abstract

The constant population growth along with the demand for natural resources put pressure on forests' capacity to capture CO2, among other benefits, thus arising the need to implement monitoring and conservation measures. Considering the above, the objective of this study was to identify degraded areas eligible for the development of CDM projects in the Sorocabuçu River watershed, Brazil. To achieve this, land use was classified for the years 2000 and 2020 using Multi-layer Perceptron neural networks, which were evaluated using a confusion matrix and Kappa index. These classifications allowed the determination of transition potential using the LCM tool, which, along with NDVI calculation, enabled the identification of areas eligible for CDM project implementation through a Fuzzy system. In the land use classification, a loss of natural vegetation areas was identified, while the NDVI indicated the absence of areas with vegetation in the extremely healthy category. As for transition potential, it was determined that the study area mostly exhibits low potential; however, there are areas with high potential. Finally, it was found that the study area comprises 1.38% degraded areas with high eligibility for CDM project implementation.

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Author Biographies

Roberto Wagner Lourenço, Director of the UNESP Sorocaba Campus

Graduated from UNESP in Geography (1995), with a master's and doctorate in Geosciences and Environment obtained in 1998 and 2002 respectively, both from São Paulo State University "Júlio de Mesquita Filho" (UNESP). He worked as a post-doc in 2003 at the Department of Collective Health of the Botucatu Medical School (UNESP). In 2012, he obtained the title of Free Professor in Geoprocessing from UNESP Sorocaba Campus. Currently, he is an Adjunct Professor at São Paulo State University "Júlio de Mesquita Filho" (UNESP) Sorocaba Campus. He is responsible for the courses of Geoprocessing, Remote Sensing, Geographic Information Systems, and Environmental Applications in the Environmental Engineering program, focusing mainly on Geoprocessing, Remote Sensing, Territorial Planning and Management, as well as Environmental Health. He is accredited in the Environmental Sciences postgraduate program at the Sorocaba Institute of Science and Technology (ICT-UNESP) and in the Program of the Faculty of Medical Sciences of Campinas (UNICAMP) - Concentration Area in Collective Health and Social Preventive.

Darllan Collins da Cunha e Silva, Unesp professor

He holds a Bachelor's and Master's degree in Environmental Engineering from the Federal University of Ouro Preto (UFOP) and a Ph.D. in Environmental Sciences from UNESP - Sorocaba Campus. He has experience in the field of Environmental Engineering, with emphasis on Air Pollution Control, Cartographic Mapping, Watershed Management, and Environmental Indicators. He works primarily on the following topics: Environmental Indicators, Water Resources Management, Geoprocessing, and Remote Sensing. He has experience in coordinating and participating in research and extension projects approved by public and private companies and higher education institutions. He participated in the Workshop for the Preparation and Revision of Items for the 2017 National Student Performance Exam (ENADE) for Environmental Engineering. He is currently an Assistant Professor at São Paulo State University (Unesp), Sorocaba campus, where he teaches undergraduate courses in Environmental Engineering.

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Published

20-09-2024

How to Cite

1.
Lizcano Toledo MV, Wagner Lourenço R, Collins da Cunha e Silva D. Study of land uses in the Sorocabuçu River watershed, Ibiúna-SP, (Brazil) for the evaluation of eligible areas in MDL projects: cuenca hidrográfica del río Sorocabuçu, Ibiúna-SP (Brasil). CIG [Internet]. 2024 Sep. 20 [cited 2025 Mar. 23];50(2):115-34. Available from: https://publicaciones.unirioja.es/ojs/index.php/cig/article/view/6052

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