Filters: Tags: forest structure (X)
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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...
These are terrestrial laser scanner datasets collected in forested areas west of Flagstaff, Arizona in 2015 and 2016. For each of the two scanners, six treatment areas were scanned, with four of them overlapping one another (Figure 1). These data are composed of individual scans referenced to one another using reflective targets, and geolocated using differentially corrected GPS and RTK locations of scan locations (Figure 3). There were overall large differences in point density among the two scanners (Figure 2).
CoverType is a photo-interpreted delineation of the Tongass National Forest by land type and timber cover type. Classification of lands was done sequentially: 1) land and water identified; 2) forested and non-forested areas were identified; 3) forested areas were classified by forest type and forest productivity; and 4) productive forest lands were further characterized by volume class, tree size, species composition. The original classifications were based on photo-interpretation of 1:15840 aerial photographs in 1978. The minimum map unit size is approximately 10 acres, though the average area for forested polygons is 60 acres. Additionally, CoverType is updated for new stands created through natural events or...
The U.S. Forest Service plans to conduct forest restoration treatments through the Four Forest Restoration Initiative (4FRI) on hundreds of thousands of acres of ponderosa pine forest along the Mogollon Rim of Arizona over the next 20 years with the goals of reducing wildfire hazard and improving forest health. The 4FRI’s key objective is to thin and burn the forests to create within-stand openings that “promote snowpack accumulation and retention which benefit groundwater recharge and watershed processes at the fine (1 to 10 acres) scale.” However, little is known about how these openings created by restoration treatments affect snow water equivalence (SWE) and soil moisture, which are key parts of the water balance...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
AL-04,
AZ-01,
Academics & scientific researchers,
Applications and Tools,
Northern Arizona University will build upon the U.S. Forest Service Four Forest Restoration Initiative in Northern Arizona to investigate how restoration efforts can affect the water volume available in the snowpack and soil moisture in the Desert LCC. This project will result in a tool that can be used to predict the water volume in snowpack and soil moisture response to various forest treatments.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
AL-04,
AZ-01,
Academics & scientific researchers,
Applications and Tools,
This study evaluates the relative ability of simple light detection and ranging (lidar) indices (i.e., mean and maximum heights) and statistically derived canonical correlation analysis (CCA) variables attained from discrete-return lidar to estimate forest structure and forest biomass variables for three temperate subalpine forest sites. Both lidar and CCA explanatory variables performed well with lidar models having slightly higher explained variance and lower root mean square error. Adjusted R2 values were 0.93 and 0.93 for mean height, 0.74 and 0.73 for leaf area index, and 0.93 and 0.85 for all carbon in live biomass for the lidar and CCA explanatory regression models, respectively. The CCA results indicate...
The overall project goal is to understand and model the watershed impacts of forest restoration actions (thinning, prescribed fire) and climate change on the hydrologic function, particularly with respect to (1) changes in soil moisture and water yield during snowmelt, (2) inter-annual and directional changes in stream water quality, and (3) the resulting impacts on watershed management for wildlife species threatened by disturbance and climate change.Specifically, we will: use known relationships of forest structure on snow-water equivalent (SWE) values and processes of sublimation (ablation), infiltration and run-off in the Jemez Mountains of northern New Mexico to model forest-stand restoration prescriptions,...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cultural Resources,
Decision Support,
Federal resource managers,
Informing Conservation Delivery,
Jemez Mountains,
Accurate measurement of forest canopy structure is critical for understanding forest-wildlife habitat relationships. Although most theory and application have been based on in situ measurements, imaging technologies such as Light Detection and Ranging (lidar) provide measurements that are both vertically accurate and horizontally extensive. We use small-footprint, multiple-return lidar from a state-wide dataset (1-m footprint, 0.11 point/m2) to characterize the vertical and horizontal structure of successional loblolly pine (Pinus taeda) and mature, fire-maintained longleaf pine (Pinus palustris) forests on the coastal plain of North Carolina, USA. The relationship between these characteristics and the federally-endangered...
Categories: Publication;
Types: Citation;
Tags: Forest structure,
Lidar remote sensing,
Loblolly pine,
Longleaf pine,
Pinus palustris,
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