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Remote sensing is valuable for estimating aboveground biomass (AGB) stocks. However, its application in agricultural and pasture areas is limited compared with forest areas. This study quantifies AGB in agriculture–pasture mosaics within Brazil's Campo Maior Complex (CMC). The methodology employs remote sensing cloud processing and utilizes an estimator to incorporate vegetation indices. The results reveal significant changes in biomass values among land use and land cover classes over the past ten years, with notable variations observed in forest plantation, pasture, sugar cane, and soybean areas. The estimated AGB values range from 0 to 20 Mg.ha−1 (minimum), 53 to 419 Mg.ha−1 (maximum), and 19 to 57 Mg.ha−1 (mean). In Forest formation areas, AGB values range from approximately 0 to 278 Mg.ha−1, with an average annual value of 56.44 Mg.ha−1. This study provides valuable insights for rural landowners and government officials in managing the semiarid territory and environment. It aids in decision making regarding agricultural management, irrigation and fertilization practices, agricultural productivity, land use and land cover changes, biodiversity loss, soil degradation, conservation strategies, the identification of priority areas for environmental restoration, and the optimization of resource utilization. [ABSTRACT FROM AUTHOR]

The main objective of the study was to analyze the spatial distribution of notified and confirmed cases of yellow fever in the state of Piauí, from 2016 to 2019. This was an ecological spatial study of yellow fever, with data from the Notifiable Diseases Information System (SINAN) from 2016 to 2019. The X² association test was applied for bivariate analysis and the Moran Index for spatial analysis. During this period, 21 cases and 1 confirmed case were reported, this case being wild yellow fever and not in humans. The municipality of Teresina (33.3%) and the health region Entre Rios (42.9%) had the highest records. Males (61.9%), the age group between 20 and 34 years (38.1%) and brown ethnicity (61.9%) were the most affected. As for education, 42.9% were ignored. The notifications of yellow fever cases, in the state of Piauí, are concentrated in poles with a large population flow. Although there is no confirmation of yellow fever cases in humans, vector prevention and control strategies must be implemented considering these factors, in addition to professional training for the correct notification of cases. [ABSTRACT FROM AUTHOR]