A Multiple Resource Inventory of Delaware Using Airborne Laser Data

Abstract Estimates of forest wood volume and biomass, and estimates of the surface area of asphalt, concrete, roof, and open water, were generated from a single set of airborne laser-profiling data acquired during the summer of 2000. Estimates of aboveground dry biomass for different types of land cover in each county or state were converted directly to estimates of standing carbon. A portable, inexpensive laser that measures forest canopy height and canopy cover was also used to identify and map mature forest stands that might support the Delmarva fox squirrel (Sciurus niger cinereus), an endangered species. Merchantable volume estimates were within 24 percent of US Forest Service estimates at the county level and within 15 percent statewide. Total aboveground dry biomass estimates were within 19 percent of US Forest Service estimates at the county level and within 16 percent statewide. Various types of impervious surfaces (roofs, concrete, asphalt) and open water were tallied along the flight lines to estimate areal coverage statewide, by land cover and county. Laser estimates of impervious surface area were within 28 percent of satellite-based estimates at the county level and within 3 percent at the state level. Laser estimates of open water were within 7 percent of photointerpreted geographic information system (GIS) estimates at the county level and within 3 percent of the GIS at the state level.

[1]  S. Popescu,et al.  Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass , 2003 .

[2]  Ross Nelson,et al.  A Portable Airborne Laser System for Forest Inventory , 2003 .

[3]  W. Cohen,et al.  Lidar remote sensing of above‐ground biomass in three biomes , 2002 .

[4]  E. Næsset.  Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data , 2002 .

[5]  Sandra A. Brown.  Measuring carbon in forests: current status and future challenges. , 2002, Environmental pollution.

[6]  M. Varilek,et al.  THE EMERGING INTERNATIONAL GREENHOUSE GAS MARKET , 2002 .

[7]  C. Tucker,et al.  A large carbon sink in the woody biomass of Northern forests , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[8]  E. Næsset,et al.  Estimating tree heights and number of stems in young forest stands using airborne laser scanner data , 2001 .

[9]  Richard A. Houghton,et al.  The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimates , 2001 .

[10]  P. Ciais,et al.  Consistent Land- and Atmosphere-Based U.S. Carbon Sink Estimates , 2001, Science.

[11]  Corinne Le Quéré,et al.  Regional changes in carbon dioxide fluxes of land and oceans since 1980. , 2000, Science.

[12]  Christian Wirth,et al.  Managing Forests After Kyoto , 2000, Science.

[13]  P. Fearnside.  Uncertainty in land-use change and forestry sector mitigation options for global warming: Plantation silviculture versus avoided deforestation , 2000 .

[14]  W. Salas,et al.  Secondary Forest Age and Tropical Forest Biomass Estimation Using Thematic Mapper Imagery , 2000 .

[15]  R. Houghton,et al.  Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon , 2000, Nature.

[16]  J. Blair,et al.  Modeling laser altimeter return waveforms over complex vegetation using high‐resolution elevation data , 1999 .

[17]  Emmanuel P. Baltsavias,et al.  Airborne laser scanning: existing systems and firms and other resources , 1999 .

[18]  Ian G. Enting,et al.  Reconstructing the recent carbon cycle from atmospheric CO2, δ13C and O2/N2 observations* , 1999 .

[19]  John M. Norman,et al.  Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada , 1997 .

[20]  E. Næsset.  Estimating timber volume of forest stands using airborne laser scanner data , 1997 .

[21]  R. G. Oderwald,et al.  Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomass , 1997 .

[22]  P. Fearnside.  Monitoring Needs to Transform Amazonian Forest Maintenance Into a Global Warming-Mitigation Option , 1997 .

[23]  M. Nilsson.  Estimation of tree heights and stand volume using an airborne lidar system , 1996 .

[24]  P. Bendel,et al.  Movements, Site Fidelity and Survival of Delmarva Fox Squirrels Following Translocation , 1994 .

[25]  Richard A. Houghton,et al.  Changes in the landscape of Latin America between 1850 and 1985 II. Net release of CO2 to the atmosphere , 1991 .

[26]  J. Shukla,et al.  Amazon Deforestation and Climate Change , 1990, Science.

[27]  W. Krabill,et al.  Using airborne lasers to estimate forest canopy and stand characteristics. , 1988 .

[28]  Ross Nelson,et al.  Estimating forest biomass and volume using airborne laser data , 1988 .

[29]  W. Krabill,et al.  Gross-merchantable timber volume estimation using an airborne lidar system , 1986 .

[30]  Peter B. Vose,et al.  Amazon Basin: A System in Equilibrium , 1984, Science.

[31]  L. Kaiser,et al.  Unbiased Estimation in Line-Intercept Sampling , 1983 .

[32]  A. Gentry,et al.  Deforestation and increased flooding of the upper Amazon. , 1982, Science.

[33]  G. Budowski,et al.  Amazon Jungle: Green Hell to Red Desert? , 1976 .

[34]  W. Cohen,et al.  Lidar Remote Sensing for Ecosystem Studies , 2002 .

[35]  Carol L. Alerich,et al.  The forest inventory and analysis database description and users manual version 1.0 , 2001 .

[36]  R. H. Widmann,et al.  Forest statistics for Delaware: 1986 and 1999 , 2001 .

[37]  M. Heimann,et al.  Climate change. Managing forests after Kyoto. , 2000, Science.

[38]  J. Means,et al.  Predicting forest stand characteristics with airborne scanning lidar , 2000 .

[39]  P. Fearnside,et al.  Carbon uptake by secondary forests in Brazilian Amazonia , 1996 .

[40]  James H. Everitt,et al.  MEASURING CANOPY STRUCTURE WITH AN AIRBORNE LASER ALTIMETER , 1993 .

[41]  J. Ritchie,et al.  Airborne laser : a tool to study landscape surface features , 1992 .

[42]  Northeastern Forest Experiment Station,et al.  Forest statistics for Delaware , 1989 .

[43]  J. L. Dooley,et al.  Habitat structure, forest composition and landscape dimensions as components of habitat suitability for the Delmarva fox squirrel , 1988 .

[44]  Range Experiment Station,et al.  Management of amphibians, reptiles, and small mammals in North America : , 1988 .

[45]  P. G. D. Vries,et al.  Sampling Theory for Forest Inventory , 1986, Springer Berlin Heidelberg.

[46]  Robert L. Sanford,et al.  Nutrient Cycling in Moist Tropical Forest , 1986 .

[47]  F. Freese,et al.  Elementary forest sampling. , 1962 .

[48]  Gloor,et al.  A Large Terrestrial Carbon Sink in North America Implied by Atmospheric and Oceanic Carbon Dioxide Data and Models , 2022 .