Gila Water Resources II

(1) Change in vegetation regrowth post-Silver Fire (2013) in Gila National Forest Watershed from 2013-2019 using NBR, calculated from Landsat-8 OLI imagery. Fire area delineated with warm-color scale, yellow and pink represent high and low vegetation regrowth respectively.

(2) NDWI calculated from 2019 Landsat-8 OLI image, emphasizing stream visualization underneath stream vector where dark blue represents high water content. This helps forest managers understand vegetation recovery and how burned areas interact with hydrology of the watershed.

Keywords: Gila National Forest, wildfire, watershed, hydrology, vegetation recovery, NBR, Landsat

Using Earth Observations to Identify Wildfire Impacts on Hydrologic Functions and Recovery in the Gila National Forest

Wildfires have the potential to cause devastating and long-lasting impacts on ecological systems. In the Gila National Forest (Gila NF), wildfire events have occurred with increasing frequency and severity over recent years. These disturbances, such as the historic Whitewater Baldy Complex Fire (2012) and Silver Fire (2013), have raised concerns over post-fire flooding, debris flows, and vegetation recovery. Understanding connections between burn events and ecological functions is crucial for developing effective land management practices within the Gila NF that ensure conservation of the watershed. The Gila Water Resources II team worked in partnership with the US Department of Agriculture (USDA) US Forest Service’s (USFS) Gila National Forest and Region 3. This project provided insight into the influence of wildfires on increased flooding events and determined if restoration efforts in the Gila NF are having a beneficial impact on vegetation regeneration. To understand recovery trends and hydrologic impact in the Gila NF between 2000-2019, this project used Landsat 5 Thematic Mapper, Landsat 7 Enhanced Thematic Mapper Plus, Landsat 8 Operational Land Imager, Global Precipitation Measurement Integrated Multi-satellite Retrievals for GPM precipitation, along with ancillary data from USGS stream gauges and data provided by USDA USFS’s Gila National Forest and Region 3. Based on these data, the team identified burn areas that received restorative treatments and compared Normalized Burn Ratio for different land cover types to better inform land management decisions. Additionally, the team analyzed the relationship between precipitation and streamflow from stream gauges to investigate the impact wildfires have on hydrology within the watershed.

Location
Maryland - Goddard
Term
Spring 2020
Partner(s)
USDA, US Forest Service, Gila National Forest
USDA, US Forest Service, Region 3
NASA Earth Observations
Landsat 5 TM
Landsat 7 ETM+
Landsat 8 OLI
GPM IMERG
Team
Alia Giolitti (Project Lead)
Carli Merrick
Madeline Allen
Sarah Hafer
Advisor(s)
Dr. Sebastian Martinuzzi (University of Wisconsin-Madison)
Dr. John Bolten (NASA Goddard Space Flight Center)
Dr. Raha Hakimdavar (USDA, US Forest Service)
Dr. Jessica Erlingis Lamers (NASA Goddard Space Flight Center)