Index Terms— hyperspectral remote sensing, air pollution, ozone, forest health,
... sensing of plant health are also investigated using GIS models as proxies of ...
APPLICATIONS OF HYPERSPECTRAL REMOTE SENSING AND GIS FOR ASSESSING FOREST HEALTH AND AIR POLLUTION Shawn C. Kefauver1,2,3, Josep Peñuelas2,3, Susan L. Ustin1 1
Center for Spatial Technologies and Remote Sensing, University of California at Davis, CA, USA; 2 CREAF, Cerdanyola del Vallés 08193, Catalonia, Spain; 3 CSIC, Global Ecology Unit CREAF-CEAB-UAB, Cerdanyola del Vallés 08913, Catalonia, Spain. ABSTRACT
The objective of this project is the assessment of air pollution impacts on conifer health in the Sierra Nevada of California, USA and the Pyrenees of Catalonia, Spain using remote sensing indices of forest health in conjunction with GIS analyses of the variability various stressors across natural landscape gradients. The Ozone Injury Index (OII) field metric applied to P. ponderosa and P. jeffreyi in the USA and adapted to P. uncinata in Spain included chlorotic mottling, needle retention, needle length, and crown depth. Species-level classifications of AVIRIS and CASI hyperspectral imagery were all near 80% overall accuracy for the target bioindicator species. Combining remote sensing indices with GIS variables related to microsite ozone uptake variability produced improved regressions for Catalonia (R2=0.68, p
