The NDVI-8 NGB like our original NDVI-7 NGB but with narrower isolated color separation, and an enhanced, closer red edge is an open-source triple bandpass NDVI filter for an agricultural study of vegetation and must be processed through outside software systems like Infragram, Drone Deploy, Pix4D, Event38, Botlink, Agribotix, Precision Mapper, etc. Always check and ask to test their software first. For 3.35mm, GoPro, DJI.

These filters are made from optical glass for maximum resolution quality to the HD resolution lenses or sensor we apply the filter to. We use only the highest-resolution mapping lenses for these NDVI filters. Each of our filters must pass strict guidelines for proper transmission. 

Our NDVI vegetation stress camera conversion service allows your camera to capture blue, green and near-infrared light for use in vegetation stress or health monitoring by UAV drone mapping. These custom vegetation-sensing lenses filter out all red light and instead allows the normally blocked near infrared band to be collected. This allows your camera to collect NIR, Green and Blue light (NGB). This extended version of the NDVI is more sensitive to the variation of chlorophyll content in the crop. It is useful for assessing the canopy variation in biomass and is an indicator of senescence in case of stress or late maturity stage. This index can be used to analyze crops in mid to late growth stages. With this data, the vegetation index BGN-DVI can be calculated.

This triple Bandpass Blue+Green+NIR Filter, when mounted in converted consumer cameras used in aerial surveying applications, can help provide a more affordable, lightweight alternative vs. systems employing three or more cameras or sensors. Blue-Green-Near IR Extended Normalized Difference Vegetation Index (NDVI-8/NGB) data gathered for vegetative health monitoring can be used to provide similar, but spectrally different information as compared to traditional NDVI data. Soil background, differing atmospheric conditions and various types of vegetation can all influence the reflection of visible light somewhat differently. The ENDVI-5 analysis may, at times, be able to impart more accurate or reliable information regarding plant or crop health by additional leveraging of information in the blue portion of the spectrum.

​