Draft Applications of the United States Forest Service Forest Inventory and Analysis dataset : A review and future directions
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A. Hudak | M. Falkowski | A. Smith | G. Domke | C. Woodall | W. Tinkham | P. Mahoney
[1] David E. Knapp,et al. Estimating aboveground carbon density across forest landscapes of Hawaii: Combining FIA plot-derived estimates and airborne LiDAR , 2018, Forest Ecology and Management.
[2] P. Patterson,et al. Integrating urban and national forest inventory data in support of rural–urban assessments , 2018, Forestry: An International Journal of Forest Research.
[3] Ronald E. McRoberts,et al. Harmonic regression of Landsat time series for modeling attributes from national forest inventory data , 2018 .
[4] K. Riitters,et al. Landscape correlates of forest plant invasions: A high‐resolution analysis across the eastern United States , 2018 .
[5] G. Domke,et al. Toward inventory-based estimates of soil organic carbon in forests of the United States. , 2017, Ecological applications : a publication of the Ecological Society of America.
[6] N. Coops,et al. Relationships between individual‐tree mortality and water‐balance variables indicate positive trends in water stress‐induced tree mortality across North America , 2017, Global change biology.
[7] Carlos Alberto Silva,et al. Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest, Fuel, and Fire Management at Eglin Air Force Base, Florida, USA , 2016 .
[8] G. Domke,et al. Estimating litter carbon stocks on forest land in the United States. , 2016, The Science of the total environment.
[9] Christopher M. Oswalt,et al. Data, data everywhere: detecting spatial patterns in fine-scale ecological information collected across a continent , 2015, Landscape Ecology.
[10] M. Hansen,et al. Latitudinal range shifts of tree species in the United States across multi-decadal time scales , 2015 .
[11] W. Bridges,et al. Population dynamics of redbay (Persea borbonia) after laurel wilt disease: an assessment based on forest inventory and analysis data , 2015, Biological Invasions.
[12] M. D. Nelson,et al. Forest Change in the Driftless Area of the Midwest: From a Preferred to Undesirable Future , 2015 .
[13] JiangHuiquan,et al. Climate- and soil-based models of site productivity in eastern US tree species , 2015 .
[14] G. Domke,et al. Net carbon flux of dead wood in forests of the Eastern US , 2014, Oecologia.
[15] Randall S. Morin,et al. Mortality rates associated with crown health for eastern forest tree species , 2015, Environmental Monitoring and Assessment.
[16] Demetrios Gatziolis,et al. Modeling Forest Aboveground Biomass and Volume Using Airborne LiDAR Metrics and Forest Inventory and Analysis Data in the Pacific Northwest , 2014, Remote. Sens..
[17] B. Bormann,et al. Site-Specific Douglas-Fir Biomass Equations from the Siskiyou Mountains, Oregon, Compared with Others from the Pacific Northwest , 2014 .
[18] R. Hofstetter,et al. Survey for Armillaria by Plant Associations in Northern Arizona , 2014 .
[19] Andrew Kliskey,et al. Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems , 2014 .
[20] Chengquan Huang,et al. Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data , 2014 .
[21] Mohammad Z. Al-Hamdan,et al. Forest Stand Size-Species Models Using Spatial Analyses of Remotely Sensed Data , 2014, Remote. Sens..
[22] Michael J. Falkowski,et al. A review of methods for mapping and prediction of inventory attributes for operational forest management , 2014 .
[23] G. Collatz,et al. Impacts of disturbance history on forest carbon stocks and fluxes: Merging satellite disturbance mapping with forest inventory data in a carbon cycle model framework , 2014 .
[24] S. Fei,et al. Northward migration under a changing climate: a case study of blackgum (Nyssa sylvatica) , 2014, Climatic Change.
[25] S. Malyshev,et al. Confronting terrestrial biosphere models with forest inventory data. , 2014, Ecological applications : a publication of the Ecological Society of America.
[26] M. Ducey,et al. A comparison of carbon stock estimates and projections for the northeastern United States , 2014 .
[27] T. R. Whittier,et al. Estimation of aboveground forest carbon flux in Oregon: adding components of change to stock-difference assessments , 2014 .
[28] D. Chojnacky,et al. Biomass and carbon data from blue oaks in a California oak savanna , 2014 .
[29] Kai Zhu,et al. Dual impacts of climate change: forest migration and turnover through life history , 2014, Global change biology.
[30] E. Cowling,et al. Potentials for Mutually Beneficial Collaboration Between FIA Specialists and IEG-40 Pathologists and Geneticists Working on Fusiform Rust , 2013 .
[31] J. Rojas‐Sandoval,et al. Spatial patterns of distribution and abundance of Harrisia portoricensis, an endangered Caribbean cactus , 2013 .
[32] G. Domke,et al. Estimation of merchantable bole volume and biomass above sawlog top in the National Forest inventory of the United States , 2013 .
[33] G. Domke,et al. Potential increases in natural disturbance rates could offset forest management impacts on ecosystem carbon stocks , 2013 .
[34] Alan E. Gelfand,et al. Scaling Integral Projection Models for Analyzing Size Demography , 2013, 1312.7260.
[35] Bruce McCune,et al. Effect of inventory method on niche models: Random versus systematic error , 2013, Ecol. Informatics.
[36] B. Hanberry. Changing eastern broadleaf, southern mixed, and northern mixed forest ecosystems of the eastern United States , 2013 .
[37] Duncan C. Lutes,et al. Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements , 2013 .
[38] Dale D. Gormanson,et al. Effects of climate on emerald ash borer mortality and the potential for ash survival in North America , 2013 .
[39] R. Morin,et al. A cover-based method to assess forest characteristics using inventory data and GIS , 2013 .
[40] J. Kershaw,et al. Benchmarking and Calibration of Forest Vegetation Simulator Individual Tree Attribute Predictions Across the Northeastern United States , 2013 .
[41] Michael L. Farrell. Estimating the maple syrup production potential of American forests: an enhanced estimate that accounts for density and accessibility of tappable maple trees , 2013, Agroforestry Systems.
[42] Charles O. Sabatia,et al. Extending a Model System to Predict Biomass in Mixed-Species Southern Appalachian Hardwood Forests , 2013 .
[43] C. Oswalt,et al. Status of Black Walnut (Juglans nigra L.) in the Eastern United States in Light of the Discovery of Thousand Cankers Disease , 2013 .
[44] C. Canham,et al. Regional variation in forest harvest regimes in the northeastern United States. , 2013, Ecological applications : a publication of the Ecological Society of America.
[45] G. Domke,et al. From Models to Measurements: Comparing Downed Dead Wood Carbon Stock Estimates in the U.S. Forest Inventory , 2013, PloS one.
[46] S. Wang,et al. Feasibility of High-Density Climate Reconstruction Based on Forest Inventory and Analysis (FIA) Collected Tree-Ring Data , 2013 .
[47] C. Larsen,et al. An assessment of the optimal scale for monitoring of MODIS and FIA NPP across the eastern USA , 2013, Environmental Monitoring and Assessment.
[48] C. Woodall,et al. A statistical power analysis of woody carbon flux from forest inventory data , 2013, Climatic Change.
[49] C. Woodall,et al. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage , 2013, Carbon Balance and Management.
[50] Francis A. Roesch,et al. Statistical Properties of Alternative National Forest Inventory Area Estimators , 2012 .
[51] Hong S. He,et al. Comparison of historical and current forest surveys for detection of homogenization and mesophication of Minnesota forests , 2012, Landscape Ecology.
[52] C. Larsen,et al. Use of pixel- and plot-scale screening variables to validate MODIS GPP predictions with Forest Inventory and Analysis NPP measures across the eastern USA , 2012 .
[53] J. N. Long,et al. A density management diagram for even-aged Sierra Nevada mixed-conifer stands , 2012 .
[54] Mark H. Hansen,et al. The Incidence of Dwarf Mistletoe in Minnesota Black Spruce Stands Detected by Operational Inventories , 2012 .
[55] Richard A. Birdsey,et al. Relationships between net primary productivity and forest stand age in U.S. forests , 2012 .
[56] Maurizio Santoro,et al. Mapping forest aboveground biomass in the Northeastern United States with ALOS PALSAR dual-polarization L-band , 2012 .
[57] C. Woodall,et al. Tracking downed dead wood in forests over time: Development of a piece matching algorithm for line intercept sampling , 2012 .
[58] J. Eitel,et al. Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys , 2012 .
[59] F. Stephen,et al. Oak decline and red oak borer outbreak: impact in upland oak-hickory forests of Arkansas, USA , 2012 .
[60] Jeffrey R Dunk,et al. Estimating habitat value using forest inventory data: The fisher (Martes pennanti) in northwestern California , 2012 .
[61] James Smith,et al. Site Productivity and Forest Carbon Stocks in the United States: Analysis and Implications for Forest Offset Project Planning , 2012 .
[62] Grant M. Domke,et al. Consequences of alternative tree-level biomass estimation procedures on U.S. forest carbon stock estimates , 2012 .
[63] L. Leefers,et al. Forest type classification accuracy assessment for Michigan's State and National Forests. , 2012 .
[64] Jeffrey G. Masek,et al. Carbon consequences of forest disturbance and recovery across the conterminous United States , 2012 .
[65] Joshua J. Puhlick,et al. Factors influencing ponderosa pine regeneration in the southwestern USA , 2012 .
[66] S. Fei,et al. Change in oak abundance in the eastern United States from 1980 to 2008 , 2011 .
[67] R. Meentemeyer,et al. Spatial estimation of the density and carbon content of host populations for Phytophthora ramorum in California and Oregon , 2011 .
[68] M. Gregory,et al. Mapping gradients of community composition with nearest-neighbour imputation: extending plot data for landscape analysis , 2011 .
[69] John M. Zobel,et al. Comparison of Forest Inventory and Analysis surveys, basal area models, and fitting methods for the aspen forest type in Minnesota , 2011 .
[70] P. Hulme,et al. Distribution modelling of Japanese honeysuckle (Lonicera japonica) invasion in the Cumberland Plateau and Mountain Region, USA , 2011 .
[71] T. Barrett,et al. Potential of a national monitoring program for forests to assess change in high-latitude ecosystems. , 2011 .
[72] Scott L. Powell,et al. Maintaining the confidentiality of plot locations by exploiting the low sensitivity of forest structure models to different spectral extraction kernels , 2011 .
[73] Sarah Parks,et al. An effective assessment protocol for continuous geospatial datasets of forest characteristics using USFS Forest Inventory and Analysis (FIA) data , 2010 .
[74] F. Thompson,et al. Change in avian abundance predicted from regional forest inventory data , 2010 .
[75] C. Witt. Characteristics of aspen infected with heartrot: Implications for cavity-nesting birds , 2010 .
[76] Francis A. Roesch,et al. Anomalous diameter distribution shifts estimated from FIA inventories through time , 2010 .
[77] S. Hamburg,et al. Forest carbon storage: ecology, management, and policy , 2010 .
[78] Kenneth B. Pierce,et al. Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches , 2010 .
[79] V. Monleon,et al. Calibrating vascular plant abundance for detecting future climate changes in Oregon and Washington, USA , 2010 .
[80] William S. Keeton,et al. Forest carbon storage in the northeastern United States: Net effects of harvesting frequency, post-harvest retention, and wood products , 2010 .
[81] Yude Pan,et al. Separating effects of changes in atmospheric composition, climate and land-use on carbon sequestration of U.S. Mid-Atlantic temperate forests , 2009 .
[82] Xianjun Hao,et al. Estimating aboveground biomass for different forest types based on Landsat TM measurements , 2009, 2009 17th International Conference on Geoinformatics.
[83] N. Coops,et al. Combining a generic process-based productivity model and a statistical classification method to predict the presence and absence of tree species in the Pacific Northwest, U.S.A. , 2009 .
[84] H. Andersen,et al. An Accuracy Assessment of Positions Obtained Using Survey- and Recreational-Grade Global Positioning System Receivers across a Range of Forest Conditions within the Tanana Valley of Interior Alaska , 2009 .
[85] Hong S. He,et al. Integration of Satellite Imagery and Forest Inventory in Mapping Dominant and Associated Species at a Regional Scale , 2009, Environmental management.
[86] Donald L. Grebner,et al. Woody biomass availability for bioethanol conversion in Mississippi , 2009 .
[87] Andrew O. Finley,et al. An indicator of tree migration in forests of the eastern United States , 2009 .
[88] R. Morin,et al. Patterns of exotic plant invasions in Pennsylvania's Allegheny National Forest using intensive Forest Inventory and Analysis plots , 2009 .
[89] T. Sohl,et al. Using the FORE-SCE model to project land-cover change in the southeastern United States , 2008 .
[90] Linda S. Heath,et al. National inventories of down and dead woody material forest carbon stocks in the United States: Challenges and opportunities , 2008 .
[91] W. Liu,et al. Predicting forest successional stages using multitemporal Landsat imagery with forest inventory and analysis data , 2008 .
[92] Xiaoping Zhou,et al. Ecological and economic determinants of invasive tree species on Alabama forestland , 2008 .
[93] A. Hudak,et al. Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data , 2008 .
[94] G. Wang,et al. Changes in forest biomass carbon storage in the South Carolina Piedmont between 1936 and 2005 , 2008 .
[95] M. Hansen,et al. Using forest service forest inventory and analysis data to estimate regional oak decline and oak mortality , 2008 .
[96] J. Shaw. Benefits of a strategic national forest inventory to science and society: the USDA Forest Service Forest Inventory and Analysis program , 2008 .
[97] J. Heikkinen,et al. Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery , 2007 .
[98] James A. Westfall,et al. Measurement repeatability of a large-scale inventory of forest fuels , 2007 .
[99] D. Zheng,et al. Forest biomass estimated from MODIS and FIA data in the Lake States: MN, WI and MI, USA , 2007 .
[100] Nicholas Skowronski,et al. Remotely sensed measurements of forest structure and fuel loads in the Pinelands of New Jersey , 2007 .
[101] Patrick D. Keyser,et al. A method for integrating the Breeding Bird Survey and Forest Inventory and Analysis databases to evaluate forest bird–habitat relationships at multiple spatial scales , 2007 .
[102] R. Srinivasan,et al. Estimating regional forest cover in East Texas using Advanced Very High Resolution Radiometer (AVHRR) data , 2007, Int. J. Appl. Earth Obs. Geoinformation.
[103] Jianbang Gan,et al. Availability of logging residues and potential for electricity production and carbon displacement in the USA , 2006 .
[104] Michael J. Papaik,et al. Multi-model analysis of tree competition along environmental gradients in southern New England forests. , 2006, Ecological applications : a publication of the Ecological Society of America.
[105] J. Kellndorfer,et al. Modeling Height, Biomass, and Carbon in U.S. Forests from FIA, SRTM, and Ancillary National Scale Data Sets , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.
[106] Richard H. Waring,et al. Assessment of site index and forest growth capacity across the Pacific and Inland Northwest U.S.A. with a MODIS satellite-derived vegetation index , 2006 .
[107] Jeffrey R Dunk,et al. Using forest inventory data to assess fisher resting habitat suitability in California. , 2006, Ecological applications : a publication of the Ecological Society of America.
[108] Jeffrey R Dunk,et al. Developing and Applying Habitat Models Using Forest Inventory Data: An Example Using a Terrestrial Salamander , 2006 .
[109] Michael J. Papaik,et al. Neighborhood analyses of canopy tree competition along environmental gradients in New England forests. , 2006, Ecological applications : a publication of the Ecological Society of America.
[110] D. Zheng,et al. Visualizing forest landscapes using public data sources , 2006 .
[111] C. Cieszewski,et al. Spatial Clusters and Variability Analysis of Tree Mortality , 2006 .
[112] William A. Bechtold,et al. The enhanced forest inventory and analysis program of the USDA forest service: historical perspective and announcements of statistical documentation , 2005 .
[113] C. Woodall,et al. What Is the Fire Danger Now? Linking Fuel Inventories with Atmospheric Data , 2005 .
[114] J. Shaw,et al. Forest Inventory and Analysis (FIA) Annual Inventory Answers the Question: What Is Happening to Pinyon-Juniper Woodlands? , 2005, Journal of Forestry.
[115] C. Woodall,et al. A technique for conducting point pattern analysis of cluster plot stem-maps , 2004 .
[116] Richard A. Birdsey,et al. Importance of Foliar Nitrogen Concentration to Predict Forest Productivity in the Mid-Atlantic Region , 2004 .
[117] R. Abt,et al. Vulnerability of Mid-Atlantic Forested Watersheds to Timber Harvest Disturbance , 2004, Environmental Monitoring & Assessment.
[118] L. Zhang,et al. A mixture model-based approach to the classification of ecological habitats using Forest Inventory and Analysis data , 2004 .
[119] D. Chojnacky,et al. Technical Note—Amounts of Down Woody Materials for Mixed-Oak Forests in Kentucky, Virginia, Tennessee, and North Carolina , 2004 .
[120] Andrew O. Finley,et al. Delineation of forest/nonforest land use classes using nearest neighbor methods , 2004 .
[121] R. T. Brooks. Abundance, distribution, trends, and ownership patterns of early-successional forests in the northeastern United States , 2003 .
[122] L. Zhang,et al. Comparison of Neural Networks and Statistical Methods in Classification of Ecological Habitats Using FIA Data , 2003 .
[123] Ian A. Munn,et al. Modeling Forest Fire Probabilities in the South Central United States Using FIA Data , 2003 .
[124] M. McDill,et al. Developing a system of annual tree growth equations for the loblolly pine - shortleaf pine type in Louisiana , 2002 .
[125] Ronald E. McRoberts,et al. Stratified estimation of forest area using satellite imagery, inventory data, and the k-Nearest Neighbors technique , 2002 .
[126] Mark H. Hansen,et al. Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates , 2002 .
[127] R. Mickler,et al. Modeling and Spatially Distributing Forest Net Primary Production at the Regional Scale , 2002, Journal of the Air & Waste Management Association.
[128] Janet L. Ohmann,et al. Predictive mapping of forest composition and structure with direct gradient analysis and nearest- neighbor imputation in coastal Oregon, U.S.A. , 2002 .
[129] C. Goodale,et al. Forest nitrogen sinks in large eastern U.S. watersheds: estimates from forest inventory and an ecosystem model , 2002 .
[130] R. Mickler,et al. Regional estimation of current and future forest biomass. , 2002, Environmental pollution.
[131] James M. Dyer. Using witness trees to assess forest change in southeastern Ohio , 2001 .
[132] Yude Pan,et al. BIOMASS AND NPP ESTIMATION FOR THE MID-ATLANTIC REGION (USA) USING PLOT-LEVEL FOREST INVENTORY DATA , 2001 .
[133] Veronica C. Lessard,et al. Diameter Growth Models Using Minnesota Forest Inventory and Analysis Data , 2001 .
[134] Debby Beardsley,et al. Using a mensuration approach with FIA vegetation plot data to assess the accuracy of tree size and crown closure classes in a vegetation map of northeastern California. , 2000 .
[135] Jeffrey P. Prestemon,et al. Linking harvest choices to timber supply , 2000 .
[136] P. E. Schroeder,et al. SPATIAL PATTERNS OF ABOVEGROUND PRODUCTION AND MORTALITY OF WOODY BIOMASS FOR EASTERN U.S. FORESTS , 1999 .
[137] Mark W. Schwartz,et al. Modeling potential future individual tree-species distributions in the eastern United States under a climate change scenario: a case study with Pinus virginiana , 1999 .
[138] A. Prasad,et al. PREDICTING ABUNDANCE OF 80 TREE SPECIES FOLLOWING CLIMATE CHANGE IN THE EASTERN UNITED STATES , 1998 .
[139] J. Prestemon. Estimating Tree Grades for Southern Appalachian Natural Forest Stands , 1998, Forest Science.
[140] Sandra A. Brown,et al. Aboveground biomass distribution of US eastern hardwood forests and the use of large trees as an indicator of forest development , 1997 .
[141] R. Birdsey,et al. Biomass Estimation for Temperate Broadleaf Forests of the United States Using Inventory Data , 1997, Forest Science.
[142] G. Reams. Radial growth trends of loblolly pine in the Virginia Coastal Plain , 1996 .
[143] W. Bechtold,et al. Changing Stand Structure and Regional Growth Reductions in Georgia's Natural Pine Stands , 1991 .
[144] J. N. Long,et al. Utah State University From the SelectedWorks of James Long 2005 A density management diagram for even-aged ponderosa pine stands , 2017 .
[145] James N. Long,et al. Utah State University From the SelectedWorks of James Long 2017 Building the Forest Inventory and Analysis Tree-Ring Data Set , 2017 .
[146] L. Heath,et al. Updated generalized biomass equations for North American tree species , 2014 .
[147] M. D. Nelson,et al. A comparison of techniques for generating forest ownership spatial products , 2014 .
[148] B. Law,et al. Biogeosciences Evaluation and improvement of the Community Land Model ( CLM 4 ) in Oregon forests , 2013 .
[149] G. Moisen,et al. Using Publicly Available Forest Inventory Data in Climate-Based Models of Tree Species Distribution: Examining Effects of True Versus Altered Location Coordinates , 2013, Ecosystems.
[150] A. Ek,et al. Carbon emissions associated with the procurement and utilization of forest harvest residues for energy, northern Minnesota, USA , 2012 .
[151] D. W. MacFarlane,et al. Comparing field- and model-based standing dead tree carbon stock estimates across forests of the US , 2012 .
[152] Bin Zheng,et al. Financial Assessment of Logging Residue Collection in the Southeast United States , 2012 .
[153] Andrea Bernhard,et al. United States of America (U.S.) , 2012 .
[154] Xuexia Chen,et al. Estimating aboveground forest biomass carbon and fire consumption in the U.S. Utah High Plateaus using data from the Forest Inventory and Analysis Program, Landsat, and LANDFIRE , 2011 .
[155] L. Heath,et al. Methods and equations for estimating aboveground volume, biomass, and carbon for trees in the U.S. forest inventory, 2010 , 2011 .
[156] E. Tomppo. National Forest Inventories : pathways for common reporting , 2010 .
[157] Yi‐Chen Wang,et al. Spatial distribution of forest landscape change in western New York from presettlement to the present , 2009 .
[158] Frederick W. Cubbage,et al. Estimating harvest costs for fuel treatments in the West , 2008 .
[159] Hailemariam Temesgen,et al. Estimating Cavity Tree Abundance Using Nearest Neighbor Imputation Methods for Western Oregon and Washington Forests , 2008 .
[160] M. D. Nelson,et al. Mapping U . S . forest biomass using nationwide forest inventory data and moderate resolution information , 2008 .
[161] Dirk Pflugmacher,et al. Regional Applicability of Forest Height and Aboveground Biomass Models for the Geoscience Laser Altimeter System , 2008, Forest Science.
[162] M. Hansen,et al. Farmers’ objectives toward their woodlands in the upper Midwest of the United States: implications for woodland volumes and diversity , 2008, Agroforestry Systems.
[163] Ronald E. McRoberts,et al. The enhanced forest inventory and analysis program , 2005 .
[164] Suming Jin,et al. Perspectives of Maine Forest Cover Change from Landsat Imagery and Forest Inventory Analysis (FIA) , 2005, Journal of Forestry.
[165] W. K. Moser,et al. Species choice and the risk of disease and insect attack: evaluating two methods of choosing between longleaf and other pines , 2003 .
[166] Victor A. Rudis,et al. Comprehensive regional resource assessments and multipurpose uses of forest inventory and analysis data, 1976 to 2001: a review. , 2003 .
[167] Miguel G. Cruz,et al. Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America , 2003 .
[168] Thomas J. Brandeis,et al. Adapting the forest inventory and analysis program to a Caribbean Island , 2003 .
[169] J. Siry,et al. Increasing southern pine growth and its implications for regional wood supply , 2003 .
[170] David L. Evans,et al. Urbanization's impact on timber harvesting in the south central United States. , 2002, Journal of environmental management.
[171] Randolph H. Wynne,et al. Estimating plot-le v el tree heights with lidar : local filtering with a canopy-height based v ariable window size , 2002 .
[172] Patrick D. Miles,et al. Using biological criteria and indicators to address forest inventory data at the state level , 2002 .
[173] Mark H. Hansen,et al. Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory , 2000 .
[174] Jacek P. Siry,et al. Potential impacts of increased management intensities on planted pine growth and yield and timber supply modeling in the south , 1999 .
[175] L. Frelich. Old forest in the lake states today and before European settlement , 1995 .
[176] D. F. Grigal,et al. Relative stocking index : a proposed index of site quality , 1994 .
[177] Jing M. Chen,et al. ormalized algorithm for mapping and dating forest disturbances and regrowth or the United States , 2011 .