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Keyword: remote sensing

Distant neighbors: Recent wildfire patterns of the Madrean Sky Islands of southwestern United States and northwestern Mexico

Publications Posted on: August 19, 2019
Background: Information about contemporary fire regimes across the Sky Island mountain ranges of the Madrean Archipelago Ecoregion in the southwestern United States and northern Mexico can provide insight into how historical fire management and land use have influenced fire regimes, and can be used to guide fuels management, ecological restoration, and habitat conservation.

Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015

Publications Posted on: August 19, 2019
In the last three decades, over 4.1 million hectares have burned in Arizona and New Mexico and the largest fires in documented history have occurred in the past two decades. Changes in burn severity over time, however, have not been well documented in forest and woodland ecosystems in the southwestern US.

Using forest inventory data with Landsat 8 imagery to map longleaf pine forest characteristics in Georgia, USA

Publications Posted on: August 19, 2019
This study improved on previous efforts to map longleaf pine (Pinus palustris) over large areas in the southeastern United States of America by developing new methods that integrate forest inventory data, aerial photography and Landsat 8 imagery to model forest characteristics.

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.

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