Strategies to compensate for the effects of nonresponse on forest carbon baseline estimates from the national forest inventory of the United States

2014 ◽  
Vol 315 ◽  
pp. 112-120 ◽  
Author(s):  
Grant M. Domke ◽  
Christopher W. Woodall ◽  
Brian F. Walters ◽  
Ronald E. McRoberts ◽  
Mark A. Hatfield
Keyword(s):  
United States ◽  
Forest Inventory ◽  
The United States ◽  
National Forest Inventory ◽  
Forest Carbon ◽  
National Forest

scholarly journals Using Landsat Imagery to Assess Burn Severity of National Forest Inventory Plots

2021 ◽  
Vol 13 (10) ◽  
pp. 1935
Author(s):  
Flavie Pelletier ◽  
Bianca N.I. Eskelson ◽  
Vicente J. Monleon ◽  
Yi-Chin Tseng
Keyword(s):  
United States ◽  
Forest Inventory ◽  
Landsat Imagery ◽  
The United States ◽  
Remotely Sensed ◽  
National Forest Inventory ◽  
Burn Severity ◽  
National Forest ◽  
Remotely Sensed Data ◽  
National Inventory

As the frequency and size of wildfires increase, accurate assessment of burn severity is essential for understanding fire effects and evaluating post-fire vegetation impacts. Remotely-sensed imagery allows for rapid assessment of burn severity, but it also needs to be field validated. Permanent forest inventory plots can provide burn severity information for the field validation of remotely-sensed burn severity metrics, although there is often a mismatch between the size and shape of the inventory plot and the resolution of the rasterized images. For this study, we used two distinct datasets: (1) ground-based inventory data from the United States national forest inventory to calculate ground-based burn severity; and (2) remotely-sensed data from the Monitoring Trends in Burn Severity (MTBS) database to calculate different remotely-sensed burn severity metrics based on six weighting scenarios. Our goals were to test which MTBS metric would best align with the burn severity of national inventory plots observed on the ground, and to identify the superior weighting scenarios to extract pixel values from a raster image in order to match burn severity of the national inventory plots. We fitted logistic and ordinal regression models to predict the ground-based burn severity from the remotely-sensed burn severity averaged from six weighting scenarios. Among the weighting scenarios, two scenarios assigned weights to pixels based on the area of a pixel that intersected any parts of a national inventory plot. Based on our analysis, 9-pixel weighted averages of the Relative differenced Normalized Burn Ratio (RdNBR) values best predicted the ground-based burn severity of national inventory plots. Finally, the pixel specific weights that we present can be used to link other Landsat-derived remote sensing metrics with United States forest inventory plots.

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

2018 ◽  
Vol 48 (11) ◽  
pp. 1251-1268 ◽  
Author(s):  
Wade T. Tinkham ◽  
Patrick R. Mahoney ◽  
Andrew T. Hudak ◽  
Grant M. Domke ◽  
Mike J. Falkowski ◽  
...  
Keyword(s):  
United States ◽  
Forest Inventory ◽  
The United States ◽  
National Forest Inventory ◽  
Forest Resources ◽  
Climate Impacts ◽  
Permanent Plots ◽  
National Forest ◽  
Forest Inventory And Analysis ◽  
Research Areas

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. The FIA program provides the most comprehensive forest database currently available, with permanent plots distributed across all forested lands and ownerships in the United States and plot histories dating back to the early 1930s. While the data can be incredibly powerful, users need to understand the spatial resolution of ground-based plots and the nature of the FIA plot coordinate system must be applied correctly. As the need for accurate assessments of national forest resources continues to be a global priority, particularly related to carbon dynamics and climate impacts, such national forest inventories will continue to be an important source of information on the status of and trends in these ecosystems. The advantages and limitations of FIA’s national forest inventory data are highlighted, and suggestions for further expansion of the FIA program are provided.

Estimation of Merchantable Bole Volume and Biomass above Sawlog Top in the National Forest Inventory of the United States

2013 ◽  
Vol 111 (6) ◽  
pp. 383-387 ◽  
Author(s):  
Grant M. Domke ◽  
Christopher M. Oswalt ◽  
Christopher W. Woodall ◽  
Jeffery A. Turner
Keyword(s):  
United States ◽  
Forest Inventory ◽  
The United States ◽  
National Forest Inventory ◽  
National Forest

Uncertainties of mapping aboveground forest carbon due to plot locations using national forest inventory plot and remotely sensed data

2011 ◽  
Vol 26 (4) ◽  
pp. 360-373 ◽  
Author(s):  
Guangxing Wang ◽  
Maozhen Zhang ◽  
George Z. Gertner ◽  
Tonny Oyana ◽  
Ronald E. McRoberts ◽  
...  
Keyword(s):  
Forest Inventory ◽  
Remotely Sensed ◽  
National Forest Inventory ◽  
Forest Carbon ◽  
National Forest ◽  
Remotely Sensed Data

scholarly journals Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory

Forests ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1364
Author(s):  
Andrew J. Lister ◽  
Hans Andersen ◽  
Tracey Frescino ◽  
Demetrios Gatziolis ◽  
Sean Healey ◽  
...  
Keyword(s):  
United States ◽  
Remote Sensing ◽  
Natural Resource ◽  
Forest Inventory ◽  
The United States ◽  
National Forest ◽  
Forest Inventories ◽  
National Forest Inventories ◽  
Sampling Statistics

Globally, forests are a crucial natural resource, and their sound management is critical for human and ecosystem health and well-being. Efforts to manage forests depend upon reliable data on the status of and trends in forest resources. When these data come from well-designed natural resource monitoring (NRM) systems, decision makers can make science-informed decisions. National forest inventories (NFIs) are a cornerstone of NRM systems, but require capacity and skills to implement. Efficiencies can be gained by incorporating auxiliary information derived from remote sensing (RS) into ground-based forest inventories. However, it can be difficult for countries embarking on NFI development to choose among the various RS integration options, and to develop a harmonized vision of how NFI and RS data can work together to meet monitoring needs. The NFI of the United States, which has been conducted by the USDA Forest Service’s (USFS) Forest Inventory and Analysis (FIA) program for nearly a century, uses RS technology extensively. Here we review the history of the use of RS in FIA, beginning with general background on NFI, FIA, and sampling statistics, followed by a description of the evolution of RS technology usage, beginning with paper aerial photography and ending with present day applications and future directions. The goal of this review is to offer FIA’s experience with NFI-RS integration as a case study for other countries wishing to improve the efficiency of their NFI programs.

Steigende Bestandszahlen bei Spechten und anderen Vogelarten dank Zunahme von Totholz? | An increase in the population of woodpeckers and other bird species thanks to an increase in the quantities of deadwood?

2009 ◽  
Vol 160 (11) ◽  
pp. 334-340 ◽  
Author(s):  
Pierre Mollet ◽  
Niklaus Zbinden ◽  
Hans Schmid
Keyword(s):  
Forest Inventory ◽  
Bird Species ◽  
National Forest Inventory ◽  
Population Increase ◽  
National Forest ◽  
Forest Species ◽  
Breeding Populations ◽  
Willow Tit ◽  
Middle Spotted Woodpecker ◽  
Important Habitat

Results from the monitoring programs of the Swiss Ornithological Institute show that the breeding populations of several forest species for which deadwood is an important habitat element (black woodpecker, great spotted woodpecker, middle spotted woodpecker, lesser spotted woodpecker, green woodpecker, three-toed woodpecker as well as crested tit, willow tit and Eurasian tree creeper) have increased in the period 1990 to 2008, although not to the same extent in all species. At the same time the white-backed woodpecker extended its range in eastern Switzerland. The Swiss National Forest Inventory shows an increase in the amount of deadwood in forests for the same period. For all the mentioned species, with the exception of green and middle spotted woodpecker, the growing availability of deadwood is likely to be the most important factor explaining this population increase.

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