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Keyword: forest monitoring

Semi-Automated Sample-Based Forest Degradation Monitoring with Photointerpretation of High-Resolution Imagery

Publications Posted on: October 15, 2019
Forest fragmentation and degradation are a problem in many areas of the world and are a cause for concern to land managers. Similarly, countries interested in curtailing climate change have a keen interest in monitoring forest degradation.

Assessment of fire effects based on Forest Inventory and Analysis data and a long-term fire mapping data set

Publications Posted on: May 24, 2017
Integration of Forest Inventory and Analysis (FIA) plot data with Monitoring Trends in Burn Severity (MTBS) data can provide new information about fire effects on forests. This integration allowed broad-scale assessment of the cover types burned in large fires, the relationship between prefire stand conditions and fire severity, and postfire stand conditions.

First global assessment of drylands

Science Spotlights Posted on: September 13, 2016
Drylands, characterized by scarcity of water, globally support about two billion people. While most of these people live in developing nations, drylands in North America cover an extensive area and have a variety of uses. Drylands are experiencing noticeable stress and degradation from increasing populations and a changing climate, so it is important to know the current conditions and changes that have occurred over time for sustainable management and restoration of these areas. Drylands, characterized by scarcity of water, globally support about two billion people. While most of these people live in developing nations, drylands in North America cover an extensive area and have a variety of uses. Drylands are experiencing noticeable stress and degradation from increasing populations and a changing climate, so it is important to know the current conditions and changes that have occurred over time for sustainable management and restoration of these areas. 

Disentangling forest change from forest inventory change: A case study from the U.S. Interior West

Science Spotlights Posted on: October 07, 2015
Trends in forest attributes are typically assessed using long-term forest inventories, but trends can only be assessed when inventory methods are compatible over time. This study demonstrated an appropriate method of comparing historical to current inventory data, showing that comparisons not accounting for changing inventory methods can produce misleading results about forest trends in western states.

Disentangling forest change from forest inventory change: A case study from the US Interior West

Publications Posted on: September 29, 2015
Long-term trends in forest attributes are typically assessed using strategic inventories such as the US Department of Agriculture (USDA) Forest Service’s Forest Inventory and Analysis (FIA) program. The implicit assumption of any trend analysis is that data are comparable over time.

Spotlight on China’s forests

Science Spotlights Posted on: August 19, 2015
China has significant and growing forest resources, but those resources have been a mystery to most of the world until recently. RMRS work with the Chinese National Forest Inventory has helped to document methods and conclusions of China’s efforts to understand its own forests.

Idaho’s forest biomass: Putting annual forest inventories in a historical context

Science Spotlights Posted on: April 13, 2015
The Forest Inventory and Analysis (FIA) program provides data for monitoring forest biomass at state, regional, and national scales. In 2000, the FIA program shifted from a periodic inventory to an annual inventory. Our study illustrated the effect of comparing population estimates from the old periodic inventories with population estimates from annual inventory plots, versus comparing only plots that were measured during both periodic and annual inventories in Idaho. 

A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS)

Publications Posted on: September 10, 2013
Lidar height data collected by the Geosciences Laser Altimeter System (GLAS) from 2002 to 2008 has the potential to form the basis of a globally consistent sample-based inventory of forest biomass. GLAS lidar return data were collected globally in spatially discrete full waveform "shots," which have been shown to be strongly correlated with aboveground forest biomass.

Opportunities to improve monitoring of temporal trends with FIA panel data

Publications Posted on: July 20, 2009
The Forest Inventory and Analysis (FIA) Program of the Forest Service, Department of Agriculture, is an annual monitoring system for the entire United States. Each year, an independent "panel" of FIA field plots is measured. To improve accuracy, FIA uses the "Moving Average" or "Temporally Indifferent" method to combine estimates from multiple panels that were measured during recent years.