An integrated remote sensing and GIS approach for monitoring areas affected by selective logging: A case study in northern Mato Grosso, Brazilian Amazon.

Forest cover disturbances due to processes such as logging and forest fires are a widespread issue especially in the tropics, and have heavily affected forest biomass and functioning in the Brazilian Amazon in the past decades. Satellite remote sensing has played a key role for assessing logging activities in this region; however, there are still remaining challenges regarding the quantification and monitoring of these processes affecting forested lands. In this study, we propose a new method for monitoring areas affected by selective logging in one of the hotspots of Mato Grosso state in the Brazilian Amazon, based on a combination of object-based and pixel-based classification approaches applied on remote sensing data.

Natural and experimental Salmonella arizonae 18:z4,z32 (Ar. 7:1,7,8) infection in broilers. Bacteriological and histopathological survey of eye and brain lesions.

Arizonosis occurred in a flock of 10,000 broilers in the state of Sao Paulo. Among 45 specimens submitted for examination at 15 days of age, there was blindness, and nervous symptoms with ataxia, torticollis, and opisthotonos. Necropsy showed caseous material in the vitreous body of the eyeballs and in the cortical region of the brain; S.