Natural hydrocarbon emission estimates based on Landsat data as an input to a regional ozone photochemical modelLandsat-derived forest cover data were employed with non-methane hydrocarbon (NMHC) emission rates in a model to quantify summer forest ozone production for the Tidewater Region of Virginia. The areal extent of the three major forest types - coniferous, deciduous, and mixed - were determined from Landsat data on two adjacent scenes, using an unsupervised approach to spectral signature development. The forest type results from both data sets were verified in an extensive accuracy assessment and merged to provide regional statistics for total acreages, percent forest, and error rates. The Landsat statistics were incorporated into forest type emission factor equations to produce an estimated emission rate for natural hydrocarbons from forests. This estimate, along with measured rates for nitrogen oxides and NMHC from anthropogenic sources, was provided as input to computer simulations of atmospheric ozone generation for the Tidewater Region using a photochemical oxident model.
Document ID
19840030824
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Middleton, E. M. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Gervin, J. C. (NASA Goddard Space Flight Center Eastern Regional Remote Sensing Applications Center, Greenbelt, MD, United States)
Salop, J. (Virginia State Air Pollution Control Board Virginia Beach, VA, United States)