Vegetation


Hyperspectral Imagery allows for the classification, identification, and detection of vegetation phenomena that relate to a wide range of applications to include: species identification, insect and disease detection/ monitoring, fire risk analysis, stress detection, geobotanical analysis for oil/gas exploration, invasive species mapping (terrestrial and sub aquatic), crop residue, soil quality/tillage, vegetative health, precision agriculture and seed stock tracking.


Sample Applications

Species Identification and Mapping

The high spectral resolution achievable with hyperspectral imaging has long been used for vegetation mapping and species identification. By covering a wider spectral range with more spectral channels at a high spectral resolution, hyperspectral data has surpassed the capabilities of photogrammetry and multispectral digital imagery for all types of classification needs.


Sample Applications

Invasive Species Mapping

The species and community mapping capabilities of hyperspectral imagery is instrumental in ongoing invasive species mapping and eradication programs. Whether for riparian environments, forests, or subaquatic mapping, hyperspectral imaging is a critical tool for expanding existing ground survey approaches.


Sample Applications

Vegetative Health and Agriculture

The high spectral resolution of airborne hyperspectral imagery coupled with the high spatial resolutions achievable from an airborne platform has made SpecTIR the preferred vendor for USDA and large Agribusiness companies engaged in studies into precision agriculture applications. SpecTIR’s data is used to support a variety of agricultural management needs such as yield prediction models, vegetative stress detection, seed stock differentiation, and crop tillage methodology assessments.


Sample Presentations and Publications

Ash Decline Assessment [pdf]
Soil Carbon Mapping [pdf]