Santa Monica Mountains Ecological Forecasting III

Image taken from Landsat 8 OLI on July 1, 2019, showing NDVI in the red band, shortwave infrared 2 (band 7) in the green band, and coastal aerosol (band 1) in the blue band. Areas of red indicate vegetated areas, greener areas are burn or bare soil areas, lighter blues are developed areas, and the dark blue indicates water bodies. We used NDVI to find areas of recovering vegetation in the Santa Monica Mountains Area.

Analyzing Recent Wildfire Impacts to Assist the Resource Conservation District of the Santa Monica Mountains in Identifying Tree Species to Replant

The Woolsey Fire began on November 8, 2018, and lasted for almost two weeks, during which it burned almost 100,000 acres of valuable landscape and habitat, including a vast area of woodland. The persistence of key woodland species provides aesthetic, monetary, and ecological value to the landscape through carbon sequestration, air temperature moderation, and erosion mitigation, among other ecosystem services. This study investigated the impact of the Woolsey Fire on native woodland species distributions and identified areas suitable for restoration within the Santa Monica Mountains National Recreation Area. The team partnered with the Resource Conservation District of the Santa Monica Mountains; National Park Service, Santa Monica Mountains National Recreation Area; California Department of Parks and Recreation, Los Angeles County Division; County of Los Angeles Fire Department, Prevention Services Bureau, Forestry Division; County of Los Angeles Department of Regional Planning; and the University of Montana. The Earth observations used include data from Landsat 8 Operational Land Imager, NASA ER-2 Jet Airborne Visible InfraRed Imaging Spectrometer, Shuttle Radar Topography Mission, and RapidEye. The team produced maps of burn severity from the Woolsey Fire, its impact on plant species distributions, and habitat suitability projections for 2050 and 2099 to assist partners in prioritizing areas for restoration. A plant community classification was successfully created using Multiple Endmember Spectral Mixture Analysis (MESMA). Overall accuracy was assessed at 90.54% by comparing the classification to validation pixels derived from ground truth information provided by our partners.

Location
California – JPL
Term
Summer 2019
Partner(s)
Resource Conservation District of the Santa Monica Mountains
National Park Service, Santa Monica Mountains National Recreation Area
California Department of Parks and Recreation, Los Angeles Division
County of Los Angeles Fire Department, Prevention Services Bureau, Forestry Division
County of Los Angeles Department of Regional Planning
University of Montana, Department of Geography
NASA Earth Observations
ER-2 Jet AVIRIS
Landsat 8 OLI
SRTM
RapidEye
Team
Melissa Ferriter (Project Lead)
Laura Jessup
Roger Ly
Joshua Spector
Advisor(s)
Natasha Stavros (NASA Jet Propulsion Laboratory, California Institute of Technology)
Latha Baskaran (NASA Jet Propulsion Laboratory, California Institute of Technology)