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Keyword: remote sensing

Integrating ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories

Publications Posted on: July 11, 2019
Presented is a prototype of the Landscape Ecosystem Inventory System (LEIS), a system for creating maps of important landscape characteristics for natural resource planning. This system uses gradient-based field inventories coupled with gradient modeling remote sensing, ecosystem simulation, and statistical analyses to derive spatial data layers required for ecosystem management.

When tree rings go global: Challenges and opportunities for retro- and prospective insight

Publications Posted on: December 04, 2018
The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now quasi-global availability of tree-ring observations, has inspired researchers to compile large tree-ring networks to address continental or even global-scale research questions.

Applications of the United States Forest Inventory and Analysis dataset: A review and future directions

Publications Posted on: November 19, 2018
The United States Forest Inventory and Analysis (FIA) program has been monitoring national forest resources in the United States for over 80 years; presented here is a synthesis of research applications for FIA data. A review of over 180 publications that directly utilize FIA data is broken down into broad categories of application and further organized by methodologies and niche research areas.

Region 4 Science Partner Program: Characterizing and conserving groundwater dependent ecosystems

Projects Posted on: August 14, 2018
This project is an interdisciplinary working group focused on collecting, documenting, exchanging, and archiving information about R4 groundwater-dependent ecosystems (GDEs), particularly springs and wetlands.Current partners include Kate Dwire (RMRS), John Proctor (R4 Botanist), Mark Muir (R4 Hydrologist), Cynthia Tait (R4 Aquatic Program Manager), and Jeff Bruggink (R4 Soil Scientist).

Northwest Forest Plan—the first 10 years (1994-2003): status and trend of late-successional and old-growth forest.

Publications Posted on: August 01, 2018
We monitored the status and trend of late-successional and old-growth forest (older forest) on 24 million ac of land managed by the Forest Service, Bureau of Land Management, and National Park Service in the Northwest Forest Plan (the Plan) area between 1994 and 2003. We developed baseline maps from satellite imagery of older forest conditions at the start of the Plan.

Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data

Publications Posted on: July 19, 2018
Basal area (BA) is a good predictor of timber stand volume and forest growth. This study developed predictive models using field and airborne LiDAR (Light Detection and Ranging) data for estimation of basal area in Pinus taeda plantation in south Brazil. In the field, BA was collected from conventional forest inventory plots.

Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates [Corrigendum]

Publications Posted on: May 11, 2018
Fire radiative energy density (FRED, J m-2) integrated from fire radiative power density (FRPD, W m-2) observations of landscape-level fires can present an undersampling problem when collected from fixed-wing aircraft. In the present study, the aircraft made multiple passes over the fire at ~3 min intervals, thus failing to observe most of the FRPD emitted as the flame front spread.

The Cooney Ridge Fire Experiment: An early operation to relate pre-, active, and post-fire field and remotely sensed measurements

Publications Posted on: May 11, 2018
The Cooney Ridge Fire Experiment conducted by fire scientists in 2003 was a burnout operation supported by a fire suppression crew on the active Cooney Ridge wildfire incident. The fire experiment included measurements of pre-fire fuels, active fire behavior, and immediate post-fire effects.

Fine resolution probabilistic land cover classification of landscapes in the southeastern United States

Publications Posted on: May 10, 2018
Land cover classification provides valuable information for prioritizing management and conservation operations across large landscapes. Current regional scale land cover geospatial products within the United States have a spatial resolution that is too coarse to provide the necessary information for operations at the local and project scales.

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