SUPERVISORY GEOGRAPHER
Earth Resources Observation and Science (EROS) Center
Email:
bpeterson@usgs.gov
Office Phone:
605-594-2742
ORCID:
0000-0002-4356-1540
Location
EROS - Mundt Federal Building
47914 252nd Street
Sioux Falls
, SD
57198-9801
US
Supervisor:
Terry L Sohl
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U.S Geological Survey (USGS) scientists conducted field data collection efforts during the time periods of September 5 - 14, 2018, November 8 - 13, 2018, June 18 - 27, 2019, July 30 - August 8, 2019, September 13 - 19, 2019, and June 23 - July 1, 2020. These efforts used a combination of technologies to map twenty burned and twelve unburned forest plots at eleven sites in the Black Hills of South Dakota. Twelve burned plots at five sites and nine unburned plots at two sites are located within Custer State Park, five burned plots are located on private land adjacent to Custer State Park at two sites, three unburned plots are located at one site near Hazelrodt Picnic Area in the Black Hills National Forest, and three...
Tags: Black Hills,
Black Hills National Forest,
Burn Severity,
Custer County,
Custer State Park, All tags...
Differenced Normalized Burn Ratio,
EROS,
Earth Resources Observation and Science Center,
Ecology,
Fire Science,
Forest Structure,
Forestry,
Fuels,
GBL,
GNSS,
Geography,
Global Navigational Satellite System,
Ground Based Lidar,
Land Use Change,
Legion Lake,
Legion Lake Fire,
Lidar,
Light Detection and Ranging,
MTBS,
Monitoring Trends in Burn Severity,
NBR,
Normalized Burn Ratio,
Remote Sensing,
State of South Dakota,
TLS,
Terrestrial Laser Scanner,
Total Station,
U.S. Geological Survey,
USGS,
USGS Science Data Catalog (SDC),
Vegetation Structure,
Wildland Fire,
Wind Cave National Park,
biota,
dNBR,
elevation,
geoscientificInformation,
location, Fewer tags
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To make informed decisions, land managers require knowledge about the state of the ecosystems present. Vegetation structure is a key indicator of the state of forested systems; it influences habitat suitability, water quality and runoff, microclimate, and informs wildfire-related characteristics such as fuel loads, burn severity, and post-fire regeneration. Field data used to derive vegetation structure are limited in spatial and temporal extent. Alternatively, forest growth simulation models estimate vegetation structure, but do not capture all factors influencing vegetation growth. Assessment of vegetation structure can be improved by using observations to derive maps which can be used to calibrate modeled forest...
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