Title: Adding value to the FIA inventory: combining FIA data and satellite observations to estimate forest disturbance
Author: Schroeder, Todd A.; Moisen, Gretchen G.; Healey, Sean P.; Cohen, Warren B.;
Source: In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 143-148.
Publication Series: Paper (invited, offered, keynote)
Description: In addition to being one of the primary drivers of the net terrestrial carbon budget, forest disturbance also plays a critical role in regulating the surface energy balance, promoting biodiversity, and creating wildlife habitat. With climate change and an ever growing human population poised to alter the frequency and severity of disturbance regimes across the globe, improved monitoring of forest disturbance, especially at the landscape scale has taken on renewed importance. Because forest disturbance manifests at a variety of spatial and temporal scales and has varying impacts which affect the canopy, understory, and forest floor, effective monitoring will likely require a composite approach where localized field data collected by the Forest Inventory and Analysis (FIA) Program are combined with repeat observations from remote sensing satellites such as Landsat. As Landsat offers nearly 40 years of well calibrated and systematically collected imagery at no cost, it is now economically feasible to monitor year to year trends in forest disturbance over large areas. In addition to its use in mapping forest change, Landsat data can also serve as a valuable backdrop for collecting detailed human interpretations of disturbance. When collected over a design-based sample such as FIA plots, these manually derived interpretations offer a wealth of potential uses ranging from map validation to estimation of new disturbance-related attributes. Here satellite observations and FIA data are used to estimate the area impacted by several types of forest disturbance occurring in the Uinta Mountains of northern Utah. This study aims to evaluate two types of satellite observations in the context of FIA’s estimation procedure, including the use of human interpretations as an augmented response variable and the use of disturbance maps for stratified variance reduction.
Keywords: statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
XML: View XML
Schroeder, Todd A.; Moisen, Gretchen G.; Healey, Sean P.; Cohen, Warren B. 2012. Adding value to the FIA inventory: combining FIA data and satellite observations to estimate forest disturbance. In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 143-148.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility