Authors: Jessica Castro*,
Topics: Arid Regions, Remote Sensing
Keywords: biological soil crusts, hyperspectral imaging
Session Type: Poster
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
Mapping biocrust distribution is generally done by means of ground surveying and proximal or remote sensing techniques. Current multi- and hyperspectral indices for biological soil crusts classification were initially developed for use in a specific area of study and might not be generalizable in different environments, distinct community types, or successional stages of such organisms. The general idea of my research is to develop a hyperspectral imaging technique and test existing biocrust classification indices in two types of arid environments. To collect imagery and spectral data, I will be using the BaySpec OCI-F-HR hyperspectral camera mounted to a UAV. For reference data and pure endmember collection the ASD FieldSpec 4 Hi-Res spectroradiometer will be used. Patch survey and point occurrence of biological soil crusts and pure spectral samples will be collected for use as training data and accuracy measurements. Several classification indices and spectral unmixing techniques will be tested in two different types of arid environments for the purpose of evaluating biocrusts classification accuracy. Using high spatial and spectral resolution to detect and map distinct biocrust communities, in various successional stages, and in different environments could lead to the development of a better, and more general approach to performing biocrust surveys, potentially enabling for more accurate community distribution mapping.