MODELING OF PERMANENT PRESERVATION AREAS (PPAs) WITH GIS AND REMOTE SENSING IN THE WEST MESOREGION OF PARANÁ: COMPLIANCE WITH THE FOREST CODE.
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| Název: | MODELING OF PERMANENT PRESERVATION AREAS (PPAs) WITH GIS AND REMOTE SENSING IN THE WEST MESOREGION OF PARANÁ: COMPLIANCE WITH THE FOREST CODE. |
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| Alternate Title: | MODELADO DE ÁREAS DE PRESERVACIÓN PERMANENTE (APPs) CON SIG Y TELEDETECCIÓN EN LA MESORREGIÓN OESTE DE PARANÁ: CONFORMIDAD CON EL CÓDIGO FORESTAL. (Spanish) MODELAGEM DE APPS COM SIG E SENSORIAMENTO REMOTO NA MESORREGIÃO OESTE DO PARANÁ: CONFORMIDADE COM O CÓDIGO FLORESTAL. (Portuguese) |
| Autoři: | Rodrigo do Nascimento, Kleberson, Dal' Canton, Letícia Ellen, Ronaldo Becker, Willyan, Uribe Opazo, Miguel Angel, Pires Frigo, Jiam, Adriani Johann, Jerry |
| Zdroj: | Environmental & Social Management Journal / Revista de Gestão Social e Ambiental; 2025, Vol. 19 Issue 1, p1-35, 35p |
| Témata: | GEOGRAPHIC information systems, CART algorithms, VEGETATION classification, GEOSPATIAL data, PLANT conservation |
| Abstract (English): | Objective: To estimate the Permanent Preservation Areas (PPAs) necessary to comply with the Forest Code, according to Law No. 12,727 of October 17, 2012. Theoretical Framework: Review of water resource and native vegetation conservation policies, emphasizing the integration of geospatial data for environmental compliance and sustainability. Method: Delimitation of watersheds was adopted using QGIS, utilizing ALOS radar images and analysis of native vegetation through MSI Sentinel-2 images on the Google Earth Engine platform. The procedures included mapping, mosaic creation, and training of the CART algorithm for vegetation classification. Results and Discussion: Average river widths were mapped, and the total area of watercourses was estimated at 299.9 km², with an extension of 28,275.42 km. It was estimated that 2,622.54 km² of PPAs are needed, with 96% accuracy in the classification of native vegetation (5,954.33 km²), revealing a deficit of 812.98 km² in PPAs. Research Implications: The study reinforces that GIS and remote sensing technologies can enhance the management of PPAs, providing effective tools for environmental planning. Originality/Value: Contribution to the literature by applying integrated GIS and remote sensing methods for effective management of PPAs, addressing gaps in the availability of hydrographic data. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | Objetivo: Estimar las Áreas de Preservación Permanente (APPs) necesarias para cumplir con el Código Forestal, según la Ley N° 12.727 del 17 de octubre de 2012. Marco Teórico: Revisión de las políticas de conservación de recursos hídricos y vegetación nativa, destacando la integración de datos geoespaciales para la conformidad ambiental y la sostenibilidad. Método: Se adoptó la delimitación de cuencas hidrográficas utilizando QGIS, utilizando imágenes de radar ALOS y análisis de vegetación nativa a través de imágenes MSI Sentinel -2 en la plataforma Google Earth Engine. Los procedimientos incluyeron mapeo, creación de mosaicos y entrenamiento del algoritmo CART para la clasificación de la vegetación. Resultados y discusión: Se mapearon anchuras medias de ríos y se estimó el área total de los cursos de agua en 299,9 km², con una extensión de 28.275,42 km. Se estimó que se necesitan 2.622,54 km² de APPs, con un 96% de precisión en la clasificación de vegetación nativa (5.954,33 km²), revelando un déficit de 812,98 km² en APPs. Implicaciones de la Investigación: El estudio refuerza que las tecnologías de SIG y teledetección pueden mejorar la gestión de APPs, proporcionando herramientas efectivas para la planificación ambiental. Originalidad/Valor: Contribución a la literatura mediante la aplicación de métodos integrados de SIG y teledetección para la gestión eficaz de APPs, abordando lagunas en la disponibilidad de datos hidrográficos. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): | Objetivo: Estimar as Áreas de Preservação Permanente (APPs) ideais para o cumprimento do Código Florestal, conforme Lei N° 12.727, de 17 de outubro de 2012. Referencial Teórico: Revisão das políticas de conservação de recursos hídricos e vegetação. Método: Adotou-se a delimitação de bacias hidrográficas com QGIS, usando imagens de radar ALOS e análise da vegetação nativa via imagens MSI Sentinel-2 na plataforma Google Earth Engine. Os procedimentos incluíram mapeamento, criação de mosaico e treinamento do algoritmo CART para classificação da vegetação. Resultados e Discussão: Foram mapeadas larguras médias de rios e estimada a área total dos cursos d'água em 299,9 km², com uma extensão de 28.275,42 km. Estimou-se a necessidade de 2.622,54 km² de APPs, com 96% de acurácia na classificação de vegetação nativa (5.954,33 km²), revelando um déficit de 812,98 km² em APPs. Implicações da Pesquisa: O estudo reforça que tecnologias de SIG e sensoriamento remoto podem aprimorar a gestão de APPs, oferecendo ferramentas eficazes para o planejamento ambiental. Originalidade/Valor: Contribuição à literatura pela aplicação de métodos integrados de SIG e sensoriamento remoto na gestão eficaz de APPs, abordando lacunas na disponibilidade de dados hidrográficos. [ABSTRACT FROM AUTHOR] |
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| Databáze: | Complementary Index |
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Nájsť tento článok vo Web of Science | Abstrakt: | Objective: To estimate the Permanent Preservation Areas (PPAs) necessary to comply with the Forest Code, according to Law No. 12,727 of October 17, 2012. Theoretical Framework: Review of water resource and native vegetation conservation policies, emphasizing the integration of geospatial data for environmental compliance and sustainability. Method: Delimitation of watersheds was adopted using QGIS, utilizing ALOS radar images and analysis of native vegetation through MSI Sentinel-2 images on the Google Earth Engine platform. The procedures included mapping, mosaic creation, and training of the CART algorithm for vegetation classification. Results and Discussion: Average river widths were mapped, and the total area of watercourses was estimated at 299.9 km², with an extension of 28,275.42 km. It was estimated that 2,622.54 km² of PPAs are needed, with 96% accuracy in the classification of native vegetation (5,954.33 km²), revealing a deficit of 812.98 km² in PPAs. Research Implications: The study reinforces that GIS and remote sensing technologies can enhance the management of PPAs, providing effective tools for environmental planning. Originality/Value: Contribution to the literature by applying integrated GIS and remote sensing methods for effective management of PPAs, addressing gaps in the availability of hydrographic data. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 1981982X |
| DOI: | 10.24857/rgsa.v19n1-151 |