<p>The estimation of the biophysical parameters of vegetation such as LAI (Leaf Area Index), FAPAR (Fraction of Absorbed Photosynthetically Active Radiation) and FCOVER (Fraction of Green Vegetation) have many climatic, hydrologic, ecosystem and silvo-agricultural applications. Despite the various satellite products that estimate these parameters continuously and globally, it’s necessary to continue generating <em>in situ</em> estimations to validate these remote data. It’s in this context where Digital Hemispheric Photography (DHP) technique stands out as being one of the most accurate an adaptable to operate continuously with diverse photographic equipment and field scenarios. The objective of this paper is to estimate effective LAI (LAI<sub>eff</sub>), true LAI (LAI<sub>true</sub>), FAPAR and FCOVER through the DHP method on several agricultural land covers in Chile, between the years 2015 and 2016 using a GoPro camera and the CAN-EYE software to process hemispheric photographs. The results obtained were initially compared with those provided by a CANON EOS 6D camera mounted together with a SIGMA 8mm F3.5-EX DG fisheye lens and subsequently with satellite products provided by the Copernicus Global Land service, derived from PROBA-V mission at 333 m<sup>2</sup> spatial resolution. The comparison between the CANON and GoPro shows similar values and R<sup>2 </sup>over 0,72 for all parameters. The comparison with PROBA-V resulted in values over 0,52 of R<sup>2</sup> for the parameters, and similar multitemporal patterns. It’s concluded that it’s possible to estimates LAI<sub>eff</sub>, FAPAR and FCOVER like other fish eyes cameras. Concerning PROBA-V, except for FAPAR, the estimates with the GoPro do not show much correlation. In both campaigns significant discrepancies were observed in the LAI<sub>true</sub>, which could be related to the calculation of CAN-EYE canopy clumping with the characteristics of the camera itself.</p>
Bacteria are an important biological component present in bioaerosols and can cause disease in humans and animals and damage vegetation. In the city of Cartagena de Indias there is limited information on the environmental bacteria present in the air and the microbiological quality in that environment. Therefore, the purpose of this study was to evaluate the concentration of airborne bacteria present in an HEI in the city of Cartagena de Indias and to determine the influence of weather conditions on the concentration of bacterial bioaerosols. 128 outdoor air samples were collected with a cascade impactor over 4 months. Total bacteria count, and parameters such as temperature, relative humidity, and wind speed were monitored during the 16 sampling campaigns. The resultsshowed that the average concentration of bacteria was 24.84 ± 8.02 CFU/m 3 . Furthermore, they indicated that these bacterial bioaerosols are mainly constituted by gram-positive bacteria (92%), the dominant genera being Staphylococcus and Bacillus. The concentration of bacteria in the air of the IES was mainly influenced by the wind speed.
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