Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

Remote Sensing of Environment - Tập 151 - Trang 124-137 - 2014
Dirk Pflugmacher1, Warren B. Cohen2, Robert E. Kennedy3, Zhiqiang Yang1
1Department of Forest Ecosystems and Society, Oregon State University, 321 Richardson Hall, Corvallis, OR 97331 USA
2USDA Forest Service, Pacific Northwest Research Station, Forestry Sciences Laboratory, 3200 SW Jefferson Way,Corvallis, OR 97331, USA
3Department of Earth and Environment, Boston University, 675 Commonwealth Ave., Boston, MA 02215, USA

Tóm tắt

Từ khóa


Tài liệu tham khảo

Aber, 2001, Forest processes and global environmental change: Predicting the effects of individual and multiple stressors, Bioscience, 51, 735, 10.1641/0006-3568(2001)051[0735:FPAGEC]2.0.CO;2

Abshire, 2005, Geoscience Laser Altimeter System (GLAS) on the ICESat mission: On-orbit measurement performance, Geophysical Research Letters, 32, 10.1029/2005GL024028

Andersen, 2009, Using Airborne Light Detection and Ranging (LIDAR) to characterize forest stand condition on the Kenai Peninsula of Alaska, Western Journal of Applied Forestry, 24, 95, 10.1093/wjaf/24.2.95

Andersen, 2011, Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: A case study in the boreal forests of interior Alaska, Canadian Journal of Remote Sensing, 37, 596, 10.5589/m12-003

Avitabile, 2011, Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda, Carbon Balance and Management, 6, 7, 10.1186/1750-0680-6-7

Baccini, 2004, Forest biomass estimation over regional scales using multisource data, Geophysical Research Letters, 31, 10.1029/2004GL019782

Baccini, 2012, Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nature Climate Change, 2, 182, 10.1038/nclimate1354

Baldocchi, 2003, Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Global Change Biology, 9, 479, 10.1046/j.1365-2486.2003.00629.x

Blackard, 2008, Mapping US forest biomass using nationwide forest inventory data and moderate resolution information, Remote Sensing of Environment, 112, 1658, 10.1016/j.rse.2007.08.021

Blair, 1999, The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography, ISPRS Journal of Photogrammetry and Remote Sensing, 54, 115, 10.1016/S0924-2716(99)00002-7

Bonan, 2008, Forests and climate change: Forcings, feedbacks, and the climate benefits of forests, Science, 320, 1444, 10.1126/science.1155121

Boudreau, 2008, Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec, Remote Sensing of Environment, 112, 3876, 10.1016/j.rse.2008.06.003

Breiman, 2001, Random forests, Machine Learning, 45, 5, 10.1023/A:1010933404324

Campbell, 2003, Forests of Eastern Oregon: An overview, 31

Campbell, 1996, Disturbance and forest health in Oregon and Washington, 105

Canty, 2004, Automatic radiometric normalization of multitemporal satellite imagery, Remote Sensing of Environment, 91, 441, 10.1016/j.rse.2003.10.024

Chavez, 1996, Image-Based Atmospheric Corrections - Revisited and Improved, Photogrammetric Engineering and Remote Sensing, 62, 1025

Cohen, 2004, Landsat's role in ecological applications of remote sensing, Bioscience, 54, 535, 10.1641/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2

Cohen, 1996, Two decades of carbon flux from forests of the Pacific Northwest — Estimates from a new modeling strategy, Bioscience, 46, 836, 10.2307/1312969

Cohen, 2003, An improved strategy for regression of biophysical variables and Landsat ETM+ data, Remote Sensing of Environment, 84, 561, 10.1016/S0034-4257(02)00173-6

Cohen, 2002, Characterizing 23years (1972–95) of stand replacement disturbance in western Oregon forests with Landsat imagery, Ecosystems, 5, 122, 10.1007/s10021-001-0060-X

Coops, 2001, The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS, Remote Sensing of Environment, 75, 324, 10.1016/S0034-4257(00)00176-0

Crist, 1985, A TM tasseled cap equivalent transformation for reflectance factor data, Remote Sensing of Environment, 17, 301, 10.1016/0034-4257(85)90102-6

Curtis, 1974, Height growth and site index for Douglas-Fir in high-elevation forests of Oregon Washington cascades, Forest Science, 20, 307

Denman, 2007, Couplings between changes in the climate system and biogeochemistry

Development Core Team, 2011, R: A language and environment for statistical computing

Drake, 2002, Estimation of tropical forest structural characteristics using large-footprint lidar, Remote Sensing of Environment, 79, 305, 10.1016/S0034-4257(01)00281-4

Duane, 2010, Implications of alternative field-sampling designs on Landsat-based mapping of stand age and carbon stocks in Oregon forests, Forest Science, 56, 405, 10.1093/forestscience/56.4.405

Dubayah, 2010, Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica, Journal of Geophysical Research-Biogeosciences, 115, 10.1029/2009JG000933

Franklin, 2002, Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example, Forest Ecology and Management, 155, 399, 10.1016/S0378-1127(01)00575-8

Goetz, 2009, Mapping and monitoring carbon stocks with satellite observations: A comparison of methods, Carbon Balance and Management, 4, 2, 10.1186/1750-0680-4-2

Goodale, 2002, Forest carbon sinks in the Northern Hemisphere, Ecological Applications, 12, 891, 10.1890/1051-0761(2002)012[0891:FCSITN]2.0.CO;2

Gough, 2007, The legacy of harvest and fire on ecosystem carbon storage in a north temperate forest, Global Change Biology, 13, 1935, 10.1111/j.1365-2486.2007.01406.x

Gregoire, 2011, Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, Norway, Canadian Journal of Forest Research, 41, 83, 10.1139/X10-195

Hall, 2006, Modeling forest stand structure attributes using Landsat ETM+ data: Application to mapping of aboveground biomass and stand volume, Forest Ecology and Management, 225, 378, 10.1016/j.foreco.2006.01.014

Halpern, 1988, Early successional pathways and the resistance and resilience of forest communities, Ecology, 69, 1703, 10.2307/1941148

Harmon, 1990, Effects on carbon storage of conversion of old-growth forests to young forests, Science, 247, 699, 10.1126/science.247.4943.699

Harmon, 1990, Effects on carbon storage of conversion of old-growth forests to young forests, Science, 247, 699, 10.1126/science.247.4943.699

Healey, 2008, The relative impact of harvest and fire upon landscape-level dynamics of older forests: Lessons from the Northwest Forest Plan, Ecosystems, 11, 1106, 10.1007/s10021-008-9182-8

Helmer, 2009, Biomass accumulation rates of Amazonian secondary forest and biomass of old-growth forests from Landsat time series and the Geoscience Laser Altimeter System, Journal of Applied Remote Sensing, 3

Helmer, 2010, Mapping tropical dry forest height, foliage height profiles and disturbance type and age with a time series of cloud-cleared Landsat and ALI image mosaics to characterize avian habitat, Remote Sensing of Environment, 114, 2457, 10.1016/j.rse.2010.05.021

Houghton, 2005, Aboveground forest biomass and the global carbon balance, Global Change Biology, 11, 945, 10.1111/j.1365-2486.2005.00955.x

Houghton, 2009, Importance of biomass in the global carbon cycle, Journal of Geophysical Research-Biogeosciences, 114, 10.1029/2009JG000935

Huang, 2010, An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks, Remote Sensing of Environment, 114, 183, 10.1016/j.rse.2009.08.017

Huang, 2002, Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance, International Journal of Remote Sensing, 23, 1741, 10.1080/01431160110106113

Hudak, 2002, Integration of lidar and Landsat ETM plus data for estimating and mapping forest canopy height, Remote Sensing of Environment, 82, 397, 10.1016/S0034-4257(02)00056-1

Jenkins, 2003, National-scale biomass estimators for United States tree species, Forest Science, 49, 12, 10.1093/forestscience/49.1.12

Johnson, 1994, The hazards of interpretation of static age structures as shown by stand reconstructions in a Pinus-Contorta Picea-Engelmannii Forest, Journal of Ecology, 82, 923, 10.2307/2261455

Kasischke, 2005, Influences of boreal fire emissions on Northern Hemisphere atmospheric carbon and carbon monoxide, Global Biogeochemical Cycles, 19, 10.1029/2004GB002300

Kauth, 1979, Feature extraction applied to agricultural crops as seen by Landsat, 705

Kennedy, 2003, Automated designation of tie-points for image-to-image coregistration, International Journal of Remote Sensing, 24, 3467, 10.1080/0143116021000024249

Kennedy, 2007, Trajectory-based change detection for automated characterization of forest disturbance dynamics, Remote Sensing of Environment, 110, 370, 10.1016/j.rse.2007.03.010

Kennedy, 2010, Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms, Remote Sensing of Environment, 114, 2897, 10.1016/j.rse.2010.07.008

Kennedy, 2012, Spatial and temporal patterns of forest disturbance and growth within the area of the Northwest Forest Plan, Remote Sensing of Environment, 122, 117, 10.1016/j.rse.2011.09.024

Law, 2001, Spatial and temporal variation in respiration in a young ponderosa pine forests during a summer drought, Agricultural and Forest Meteorology, 110, 27, 10.1016/S0168-1923(01)00279-9

Law, 2003, Changes in carbon storage and fluxes in a chronosequence of ponderosa pine, Global Change Biology, 9, 510, 10.1046/j.1365-2486.2003.00624.x

Lawrence, 1999, Calculating change curves for multitemporal satellite imagery: Mount St. Helens 1980–1995, Remote Sensing of Environment, 67, 309, 10.1016/S0034-4257(98)00092-3

Lefsky, 1999, Lidar remote sensing of the canopy structure and biophysical properties of Douglas-fir western hemlock forests, Remote Sensing of Environment, 70, 339, 10.1016/S0034-4257(99)00052-8

Lefsky, 2002, Lidar remote sensing of above-ground biomass in three biomes, Global Ecology and Biogeography, 11, 393, 10.1046/j.1466-822x.2002.00303.x

Lefsky, 2002, Lidar remote sensing for ecosystem studies, Bioscience, 52, 19, 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2

Lefsky, 2001, An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon, Canadian Journal of Forest Research, 31, 78, 10.1139/x00-142

Lefsky, 2005, Combining lidar estimates of aboveground biomass and Landsat estimates of stand age for spatially extensive validation of modeled forest productivity, Remote Sensing of Environment, 95, 549, 10.1016/j.rse.2004.12.022

Li, 2011, Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data, Remote Sensing of Environment, 115, 1837, 10.1016/j.rse.2011.03.001

Liaw, 2002, Classification and regression by randomForest, R News, 2, 18

Lu, 2006, The potential and challenge of remote sensing-based biomass estimation, International Journal of Remote Sensing, 27, 1297, 10.1080/01431160500486732

Lu, 2004, Change detection techniques, International Journal of Remote Sensing, 25, 2365, 10.1080/0143116031000139863

Masek, 2006, Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling, Journal of Geophysical Research-Biogeosciences, 111, 10.1029/2005JG000062

Meigs, 2009, Forest fire impacts on carbon uptake, storage, and emission: The role of burn severity in the Eastern Cascades, Oregon, Ecosystems, 12, 1246, 10.1007/s10021-009-9285-x

Meigs, 2011, A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests, Remote Sensing of Environment, 115, 3707, 10.1016/j.rse.2011.09.009

Nelson, 1988, Estimating forest biomass and volume using airborne laser data, Remote Sensing of Environment, 24, 247, 10.1016/0034-4257(88)90028-4

Pflugmacher, 2012, Using Landsat-derived disturbance history (1972–2010) to predict current forest structure, Remote Sensing of Environment, 122, 146, 10.1016/j.rse.2011.09.025

Powell, 2010, Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches, Remote Sensing of Environment, 114, 1053, 10.1016/j.rse.2009.12.018

Powell, 2008, Quantification of impervious surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006, Remote Sensing of Environment, 112, 1895

Running, 2004, A continuous satellite-derived measure of global terrestrial primary production, Bioscience, 54, 547, 10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2

Saatchi, 2011, Benchmark map of forest carbon stocks in tropical regions across three continents, Proceedings of the National Academy of Sciences of the United States of America, 108, 9899, 10.1073/pnas.1019576108

Schroeder, 2006, Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon, Remote Sensing of Environment, 103, 16, 10.1016/j.rse.2006.03.008

Schroeder, 2011, Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data, Remote Sensing of Environment, 115, 1421, 10.1016/j.rse.2011.01.022

Smith, 2008, Combining remote sensing data with process modelling to monitor boreal conifer forest carbon balances, Forest Ecology and Management, 255, 3985, 10.1016/j.foreco.2008.03.056

Song, 2001, Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?, Remote Sensing of Environment, 75, 230, 10.1016/S0034-4257(00)00169-3

Spies, 1998, Forest structure: A key to the ecosystem, Northwest Science, 72, 34

Stephens, 2012, Airborne scanning LiDAR in a double sampling forest carbon inventory, Remote Sensing of Environment, 117, 348, 10.1016/j.rse.2011.10.009

Urbanski, 2007, Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest, Journal of Geophysical Research-Biogeosciences, 112, 10.1029/2006JG000293

Viedma, 1997, Modeling rates of ecosystem recovery after fires by using Landsat TM data, Remote Sensing of Environment, 61, 383, 10.1016/S0034-4257(97)00048-5

Wulder, 2003, Forest inventory height update through the integration of lidar data with segmented Landsat imagery, Canadian Journal of Remote Sensing, 29, 536, 10.5589/m03-032

Yang, 2005, Modeling early forest succession following clear-cutting in western Oregon, Canadian Journal of Forest Research, 35, 1889, 10.1139/x05-132

Youngblood, 2006, Changes in stand structure and composition after restoration treatments in low elevation dry forests of northeastern Oregon, Forest Ecology and Management, 234, 143, 10.1016/j.foreco.2006.06.033

Zolkos, 2013, A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing, Remote Sensing of Environment, 128, 289, 10.1016/j.rse.2012.10.017