LiDAR Remote Sensing of Vegetation Biomass
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[1] Robert G. Knox,et al. The use of waveform lidar to measure northern temperate mixed conifer and deciduous forest structure in New Hampshire , 2006 .
[2] F. Zhao,et al. Allometric equation choice impacts lidar-based forest biomass estimates: A case study from the Sierra National Forest, CA , 2012 .
[3] J. Chambers,et al. Tree allometry and improved estimation of carbon stocks and balance in tropical forests , 2005, Oecologia.
[4] E. Næsset,et al. Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser , 2008 .
[5] R. Nelson,et al. Determining forest canopy characteristics using airborne laser data , 1984 .
[6] Yude Pan,et al. BIOMASS AND NPP ESTIMATION FOR THE MID-ATLANTIC REGION (USA) USING PLOT-LEVEL FOREST INVENTORY DATA , 2001 .
[7] K. Lim,et al. Lidar remote sensing of biophysical properties of tolerant northern hardwood forests , 2003 .
[8] W. Salas,et al. Benchmark map of forest carbon stocks in tropical regions across three continents , 2011, Proceedings of the National Academy of Sciences.
[9] Konstantinos P. Papathanassiou,et al. Polarimetric SAR interferometry , 1998, IEEE Trans. Geosci. Remote. Sens..
[10] Ross Nelson,et al. Exploring LiDAR–RaDAR synergy—predicting aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR and InSAR , 2007 .
[11] W. Cohen,et al. Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests , 1999 .
[12] David B. Clark,et al. APPLICATION OF 1-M AND 4-M RESOLUTION SATELLITE DATA TO ECOLOGICAL STUDIES OF TROPICAL RAIN FORESTS , 2004 .
[13] Gregory P. Asner,et al. Tropical forest carbon assessment: integrating satellite and airborne mapping approaches , 2009 .
[14] Geoffrey B. West,et al. Yes, West, Brown and Enquist"s model of allometric scaling is both mathematically correct and biologically relevant , 2005 .
[15] J. Shukla,et al. Amazon Deforestation and Climate Change , 1990, Science.
[16] Laurent Ferro-Famil,et al. Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[17] K. Niklas. Size-dependent Allometry of Tree Height, Diameter and Trunk-taper , 1995 .
[18] Patrick D. Johnson,et al. Investigating RaDAR–LiDAR synergy in a North Carolina pine forest , 2007 .
[19] W. Ju,et al. Net primary productivity of China's terrestrial ecosystems from a process model driven by remote sensing. , 2007, Journal of environmental management.
[20] C. Woodcock,et al. Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar , 2011 .
[21] R. Dubayah,et al. Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships , 2003 .
[22] Fábio Guimarães Gonçalves,et al. Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements , 2009 .
[23] G. Asner,et al. A universal airborne LiDAR approach for tropical forest carbon mapping , 2011, Oecologia.
[24] Qi Chen. Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry , 2010 .
[25] R. Dubayah,et al. Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest , 2008 .
[26] G. Foody,et al. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions , 2003 .
[27] Sandra A. Brown,et al. State and change in carbon pools in the forests of tropical Africa , 1998 .
[28] Richard A. Houghton,et al. The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimates , 2001 .
[29] K. Lim,et al. Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy-based quantile estimators , 2004 .
[30] Alex C. Lee,et al. Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland, Australia , 2006 .
[31] David Saah,et al. Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates , 2012 .
[32] G. Asner,et al. Fusing small-footprint waveform LiDAR and hyperspectral data for canopy-level species classification and herbaceous biomass modeling in savanna ecosystems , 2011 .
[33] W. Cohen,et al. Estimates of forest canopy height and aboveground biomass using ICESat , 2005 .
[34] Richard G. Oderwald,et al. Technical note: Canopy height models and airborne lasers to estimate forest biomass: Two problems , 2000 .
[35] J. Reitberger,et al. 3D segmentation of single trees exploiting full waveform LIDAR data , 2009 .
[36] Thuy Le Toan,et al. Relating Radar Remote Sensing of Biomass to Modelling of Forest Carbon Budgets , 2004 .
[37] J. Boone Kauffman,et al. Allometric Models for Predicting Aboveground Biomass in Two Widespread Woody Plants in Hawaii , 2008 .
[38] Barbara Koch,et al. Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment , 2010 .
[39] A. Lugo,et al. Estimating biomass and biomass change of tropical forests , 1997 .
[40] Shilong Piao,et al. Satellite-based estimation of biomass carbon stocks for northeast China's forests between 1982 and 1999 , 2007 .
[41] Göran Ståhl,et al. Estimating Quebec provincial forest resources using ICESat/GLAS , 2009 .
[42] Peter R. J. North,et al. Lidar Remote Sensing for Biomass Assessment , 2012 .
[43] Florian Siegert,et al. Above ground biomass estimation across forest types at different degradation levels in Central Kalimantan using LiDAR data , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[44] Ross Nelson,et al. A Portable Airborne Laser System for Forest Inventory , 2003 .
[45] M. Lefsky,et al. Mapping tropical forest biomass with radar and spaceborne LiDAR in Lopé National Park, Gabon: Overcoming problems of high biomass and persistent cloud , 2012 .
[46] G. Qiu,et al. Accurate estimation of forest carbon stocks by 3-D remote sensing of individual trees. , 2003, Environmental science & technology.
[47] Fabian Ewald Fassnacht,et al. Forest structure modeling with combined airborne hyperspectral and LiDAR data , 2012 .
[48] S. Fleck,et al. 3D-laser scanning: A non-destructive method for studying above-ground biomass and growth of juvenile trees , 2011 .
[49] Y. Hu,et al. Mapping the height and above‐ground biomass of a mixed forest using lidar and stereo Ikonos images , 2008 .
[50] G. Asner,et al. Environmental and Biotic Controls over Aboveground Biomass Throughout a Tropical Rain Forest , 2009, Ecosystems.
[51] W. Cohen,et al. Lidar remote sensing of above‐ground biomass in three biomes , 2002 .
[52] Nicholas C. Coops,et al. Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest , 2012 .
[53] Jungho Im,et al. Forest biomass estimation from airborne LiDAR data using machine learning approaches , 2012 .
[54] Thuy Le Toan,et al. Relating forest biomass to SAR data , 1992, IEEE Trans. Geosci. Remote. Sens..
[55] Campbell O. Webb,et al. Regional and phylogenetic variation of wood density across 2456 Neotropical tree species. , 2006, Ecological applications : a publication of the Ecological Society of America.
[56] C. Gleason,et al. A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications , 2011 .
[57] David Saah,et al. Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass , 2012 .
[58] J. Bryan Blair,et al. Mapping biomass and stress in the Sierra Nevada using lidar and hyperspectral data fusion , 2011 .
[59] H. Zwally,et al. Overview of ICESat's Laser Measurements of Polar Ice, Atmosphere, Ocean, and Land , 2002 .
[60] Yong Q. Tian,et al. Estimating Basal Area and Stem Volume for Individual Trees from Lidar Data , 2007 .
[61] M. Ashton,et al. Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests , 2004 .
[62] R. Dubayah,et al. Sensitivity of large-footprint lidar to canopy structure and biomass in a neotropical rainforest , 2002 .
[63] Kamal Sarabandi,et al. Model-Based Estimation of Forest Canopy Height in Red and Austrian Pine Stands Using Shuttle Radar Topography Mission and Ancillary Data: A Proof-of-Concept Study , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[64] R. G. Oderwald,et al. Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomass , 1997 .
[65] W. Cohen,et al. An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon , 2001 .
[66] E. Næsset,et al. A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights , 2012 .
[67] R. Dubayah,et al. Estimation of tropical forest structural characteristics using large-footprint lidar , 2002 .
[68] E. Næsset,et al. Weibull and percentile models for lidar-based estimation of basal area distribution , 2005 .
[69] J. K. Hiers,et al. Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics , 2009 .
[70] W. Walker,et al. Mapping forest structure for wildlife habitat analysis using waveform lidar: Validation of montane ecosystems , 2005 .
[71] A. Prasad,et al. Geographical distributions of carbon in biomass and soils of tropical Asian forests , 1993 .
[72] Randolph H. Wynne,et al. Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data , 2005 .
[73] I. Burke,et al. Estimating stand structure using discrete-return lidar: an example from low density, fire prone ponderosa pine forests , 2005 .
[74] S. Ustin,et al. Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling , 2003 .
[75] M. Ter-Mikaelian,et al. Biomass equations for sixty-five North American tree species , 1997 .
[76] Philip M. Fearnside,et al. GREENHOUSE GASES FROM DEFORESTATION IN BRAZILIAN AMAZONIA: NET COMMITTED EMISSIONS , 1997 .
[77] Nicholas Skowronski,et al. Remotely sensed measurements of forest structure and fuel loads in the Pinelands of New Jersey , 2007 .
[78] Richard A. Birdsey,et al. Comprehensive database of diameter-based biomass regressions for North American tree species , 2004 .
[79] M. Lefsky,et al. Laser altimeter canopy height profiles: methods and validation for closed-canopy, broadleaf forests , 2001 .
[80] Dirk Pflugmacher,et al. Distinguishing between live and dead standing tree biomass on the North Rim of Grand Canyon National Park, USA using small-footprint lidar data , 2009 .
[81] Pascale Dubois-Fernandez,et al. Forest Height Inversion Using High-Resolution P-Band Pol-InSAR Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[82] Z. J. Bortolot,et al. Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data , 2006 .
[83] G. Hurtt,et al. Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica , 2009 .
[84] Christopher Potter,et al. Terrestrial Biomass and the Effects of Deforestation on the Global Carbon Cycle , 1999 .
[85] W. Walker,et al. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy , 2006 .
[86] Alan H. Strahler,et al. Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing , 2009 .
[87] P. Treitz,et al. Mapping stand-level forest biophysical variables for a mixedwood boreal forest using lidar: an examination of scanning density , 2006 .
[88] P. Gong,et al. Filtering airborne laser scanning data with morphological methods , 2007 .
[89] Ross Nelson,et al. Measuring biomass and carbon in delaware using an airborne profiling LIDAR , 2004 .
[90] Patrick Johnson,et al. Synergistic use of very high-frequency radar and discrete-return lidar for estimating biomass in temperate hardwood and mixed forests , 2011, Annals of Forest Science.
[91] W. Cohen,et al. Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA , 1999 .
[92] K. Jon Ranson,et al. Imaging radar for ecosystem studies , 1995 .
[93] R. Nelson,et al. Regional aboveground forest biomass using airborne and spaceborne LiDAR in Québec. , 2008 .
[94] Qi Chen. Assessment of terrain elevation derived from satellite laser altimetry over mountainous forest areas using airborne lidar data , 2010 .
[95] Frédéric Bretar,et al. Full-waveform topographic lidar : State-of-the-art , 2009 .
[96] D. Roberts,et al. Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors , 2011 .
[97] S. Goetz,et al. Importance of biomass in the global carbon cycle , 2009 .
[98] C. Potter,et al. Biomass burning losses of carbon estimated from ecosystem modeling and satellite data analysis for the Brazilian Amazon region , 2001 .
[99] W. Cohen,et al. Geographic variability in lidar predictions of forest stand structure in the Pacific Northwest , 2005 .
[100] S. Popescu. Estimating biomass of individual pine trees using airborne lidar , 2007 .
[101] M. D. Nelson,et al. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information , 2008 .
[102] P. E. Schroeder,et al. SPATIAL PATTERNS OF ABOVEGROUND PRODUCTION AND MORTALITY OF WOODY BIOMASS FOR EASTERN U.S. FORESTS , 1999 .
[103] Wen Liu,et al. Synergistic Use of Satellite Laser Altimetry and Shuttle Radar Topography Mission DEM for Estimating Ground Elevation Over Mountainous Vegetated Areas , 2013, IEEE Geoscience and Remote Sensing Letters.
[104] H. Balzter,et al. Forest canopy height and carbon estimation at Monks Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry , 2007 .
[105] T. Dawson,et al. Quantifying forest above ground carbon content using LiDAR remote sensing , 2004 .
[106] J. Holmgren,et al. Estimation of Tree Height and Stem Volume on Plots Using Airborne Laser Scanning , 2003, Forest Science.
[107] George C. Hurtt,et al. Linking models and data on vegetation structure , 2010 .
[108] P. Gong,et al. Isolating individual trees in a savanna woodland using small footprint lidar data , 2006 .
[109] R. Houghton,et al. Aboveground Forest Biomass and the Global Carbon Balance , 2005 .
[110] W. Krabill,et al. Gross-merchantable timber volume estimation using an airborne lidar system , 1986 .
[111] I. Hajnsek,et al. Height-biomass allometry in temperate forests performance accuracy of height-biomass allometry , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).
[112] Jan Kozłowski,et al. Is West, Brown and Enquist's model of allometric scaling mathematically correct and biologically relevant? , 2004 .
[113] Helena Mitasova,et al. Use of GIS for Estimating Potential and Actual Forest Biomass for Continental South and Southeast Asia , 1994 .
[114] D. B. Coyle,et al. Optimization of an airborne laser altimeter for remote sensing of vegetation and tree canopies , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.
[115] Chengquan Huang,et al. Regional forest growth rates measured by combining ICESat GLAS and Landsat data , 2009 .
[116] Markus Hollaus,et al. Airborne Laser Scanning of Forest Stem Volume in a Mountainous Environment , 2007, Sensors (Basel, Switzerland).
[117] 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.
[118] J. Blair,et al. The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography , 1999 .
[119] M. Dobson,et al. The use of Imaging radars for ecological applications : A review , 1997 .
[120] Qi Chen. Improvement of the Edge‐based Morphological (EM) method for lidar data filtering , 2009 .
[121] J. Terborgh,et al. The regional variation of aboveground live biomass in old‐growth Amazonian forests , 2006 .
[122] J. Means. Use of Large-Footprint Scanning Airborne Lidar To Estimate Forest Stand Characteristics in the Western Cascades of Oregon , 1999 .
[123] S. Popescu,et al. Lidar remote sensing of forest biomass : A scale-invariant estimation approach using airborne lasers , 2009 .
[124] Juilson Jubanski,et al. ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia , 2011, Remote. Sens..
[125] Michael A. Wulder,et al. Integration of GLAS and Landsat TM data for aboveground biomass estimation , 2010 .
[126] D. Clark,et al. Tropical forest biomass estimation and the fallacy of misplaced concreteness , 2012 .
[127] F. Raulier,et al. Canadian national tree aboveground biomass equations , 2005 .
[128] Anthony M. Filippi,et al. Assessment of available rangeland woody plant biomass with a terrestrial lidar system. , 2012 .
[129] Mark O. Kimberley,et al. Airborne scanning LiDAR in a double sampling forest carbon inventory , 2012 .
[130] Sandra A. Brown,et al. Monitoring and estimating tropical forest carbon stocks: making REDD a reality , 2007 .
[131] Ross Nelson,et al. Estimating forest biomass and volume using airborne laser data , 1988 .
[132] Richard G. Oderwald,et al. Forest Volume and Biomass Estimation Using Small-Footprint Lidar-Distributional Parameters on a Per-Segment Basis , 2006 .
[133] Helen Amanda Fricker,et al. The ICESat-2 Laser Altimetry Mission , 2010, Proceedings of the IEEE.
[134] S. Brown,et al. Use of forest inventories and geographic information systems to estimate biomass density of tropical forests: Application to tropical Africa , 1995, Environmental monitoring and assessment.