IMPACT OF PRECIPITATION FLUCTUATIONS ON VEGETATION DYNAMICS: A SPATIOTEMPORAL REMOTE SENSING ANALYSIS IN PERNAMBUCO'S SEMI-ARID REGION, BRAZIL
DOI:
https://doi.org/10.14393/RCG2610676114Palabras clave:
CHIRPS, MODIS, Seasonally dry forestsResumen
Vegetation cover in seasonally dry forests, such as the Caatinga, is intrinsically linked to rainfall. Temporal data from sensors like MODIS TERRA-AQUA, combined with the CHIRPS precipitation product, allow for the monitoring of this relationship. This study aimed to evaluate the spatial dynamics of vegetation cover in the Pajeú River watershed (PE), between 2010 and 2022, through land use and land cover analysis and time series of the NDVI, EVI, and Albedo indices derived from MODIS, correlating these variables with CHIRPS data and quantifying vegetation-precipitation relationships. The results showed significant correlations: precipitation had a direct relationship with the mean values of NDVI (wet season: 0.60; dry season: <0.20) and EVI (wet season: >0.40; dry season: <0.20), and an inverse relationship with Albedo (dry season: >0.16). In 2022, there was a 15% reduction in vegetated areas during the dry season, highlighting the vulnerability of vegetation to hydrological seasonality, resulting in reduced vegetation cover and increased areas of exposed soil. It is concluded that the integration of MODIS and CHIRPS data proved to be an effective tool for monitoring vegetation responses to rainfall seasonality, providing valuable support for water resource management in semi-arid regions.
Descargas
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2025 Ubiratan Joaquim da Silva Junior, Murilo Oliveira da Costa, Juarez Antonio da Silva Junior, João Victor de Albuquerque Roberto, Anderson Luiz Ribeiro de Paiva, Sylvana Melo dos Santos, Leidjane Maria Maciel de Oliveira

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Los autores que publican en esta Revista aceptan los siguientes términos: a) Autores conserva los derechos de autor y otorga a la revista el derecho de primera publicación, con el trabajo bajo licencia Creative Commons Attribution-NonCommercial NoDerivs 4.0 International. b) Se permite y anima a los autores a publicar y distribuya su trabajo en línea (por ejemplo, en repositorios institucionales o en su sitio web personal), ya que esto puede generar cambios productivos, así como incrementar el impacto y cita de trabajo publicado. c) Por el hecho de aparecer en este diario de acceso público, los artículos son de libre uso, con sus propias atribuciones, en aplicaciones educativos y no comerciales.




