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Regardless of your industry, from forestry and agriculture to defense and intelligence, your reliance on geospatial imagery as a source of important geographic information continues to grow. ENVI is the premier software solution for extracting information from geospatial imagery. ENVI delivers innovative, time saving ways to get information from imagery, while making it easy to incorporate image processing and analysis into your existing workflow. Now, the latest release of ENVI delivers features and functionality to further streamline your workflow and reduce the time you spend on image processing and analysis. ENVI 4.8 makes it seamless to update a GIS with current information from geospatial imagery by delivering image analysis tools directly from the ArcGIS environment. A new, high performance LiDAR viewer allows you to easily incorporate information from LiDAR data with your other geospatial data, and a new workflow for viewshed analysis automates and streamlines a multi-step process. And, because ENVI is built on a fully extensible platform, you can easily customize it to your specific imagery needs.

Microbiota associated with insects play several important roles in their host, including protection against pathogens, provision of nutrition, and survival in hostile environments. The aim of this work was to identify the bacterial community found in avocado thrips from Northwestern Colombia (Antioquia department) in order to find isolates for potential biocontrol purposes. Culture-dependent methods based on 16S rRNA and gyrase B gene sequencing in 42 bacterial isolates allowed the identification of the genera Bacillus, Serratia, Moraxella, Pantoea, and Sphingomonas. Microbial diversity detected with the temperature gradient gel electrophoresis (TGGE) technique on three morphotypes of thrips, named brown (Scirtothrips hansoni), black (Frankliniella panamensis), and pale (Frankliniella sp.), showed a low bacterial community density (Shannon–Wiener index = 1480, p > 0.05) with significant differences among morphotypes (R = 0.7877, p = 0.0004). Results obtained with Illumina sequencing on the V1–V2 hypervariable region of the subunit 16S rRNA showed a predominant sequence in the brown morphotype (Scirtothrips hansoni) that belongs to the genus Wolbachia. The 16S amplicon analyses were extended to more samples and higher resolution using the V4–V5 hypervariable region. The results showed six additional bacteria phyla, confirming the previous observation for the dominant bacterial groups made in S. hansoni and the detection of the alternation of highly predominant genera among these thrips. Our results demonstrate that endosymbiont such as Wolbachia sp. are part of the microbiota of these pests, thereby indicating the possibility of employing this type of bacterium to improve the management of avocado thrips globally.