The US today is experiencing extreme drought conditions. Extremely low rainfall rates combined with high temperatures are devastating the ecological environment for vegetation and agricultural yields, diminishing water supplies used to sustain crops and even causing wildfires.
Researchers today rely heavily on remotely sensed data to monitor the conditions on the ground by applying a variety of vegetation indices (NDVI, EVI, etc.) to their datasets. At Spectral Evolution, we have designed a suite of robust remote sensing instruments that can be deployed in nearly any environmental condition to aid in validating and acquiring key metrics for vegetation analysis. Our software can rapidly collect and calculate numerous Vegetation Indices while in the field to correlate information gathered from Space-based and aerial platforms.
Below is an example of stress-induced senescence of a leaf to mimic drought conditions and data on the right for the Normalized Vegetation Index. The data is rapidly produced via our DARWin software to provide users with automatic retrieval with each scan.
