Integrating remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests
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J Penman | M Baltuck | C Green | Pontus Olofsson | J Raison | Curtis E. Woodcock | C. Woodcock | P. Olofsson | J. Penman | C. Green | J. Raison | M. Baltuck
[1] J. A. Trofymow,et al. CBM-CFS3: A model of carbon-dynamics in forestry and land-use change implementing IPCC standards , 2009 .
[2] C. Woodcock,et al. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation , 2013 .
[3] D. Jenkinson,et al. Model estimates of CO2 emissions from soil in response to global warming , 1991, Nature.
[4] Maurizio Mencuccini,et al. On simplifying allometric analyses of forest biomass , 2004 .
[5] D. Griffith,et al. Emissions from smoldering combustion of biomass measured by open‐path Fourier transform infrared spectroscopy , 1997 .
[6] Sandra A. Brown,et al. Monitoring and estimating tropical forest carbon stocks: making REDD a reality , 2007 .
[7] Karl J. Niklas,et al. Invariant scaling relations across tree-dominated communities , 2001, Nature.
[8] 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 .
[9] Marcia J. Lambert,et al. Additive biomass equations for native eucalypt forest trees of temperate Australia , 2004, Trees.
[10] M. Herold,et al. Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda , 2011, Carbon balance and management.
[11] D. Moorhead,et al. Climate and litter quality controls on decomposition: An analysis of modeling approaches , 1999 .
[12] Eliakimu Zahabu,et al. Reduced emissions from deforestation and degradation , 2007 .
[13] Andrew K. Skidmore,et al. Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests , 2009 .
[14] M. Bauer,et al. Digital change detection in forest ecosystems with remote sensing imagery , 1996 .
[15] Gregory P. Asner,et al. Tropical forest carbon assessment: integrating satellite and airborne mapping approaches , 2009 .
[16] O. Edenhofer,et al. Intergovernmental Panel on Climate Change (IPCC) , 2013 .
[17] Matthias Peichl,et al. Allometry and partitioning of above- and belowground tree biomass in an age-sequence of white pine forests , 2007 .
[18] Göran Ståhl,et al. Preparing emission reporting from forests: use of National Forest Inventories in European countries , 2008 .
[19] David B. Clark,et al. Landscape-scale variation in forest structure and biomass in a tropical rain forest , 2000 .
[20] E. Lindquist,et al. Multiple remote sensing data sources for REDD+ monitoring , 2012 .
[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] Göran Ståhl,et al. Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach , 2012 .
[23] M. Herold,et al. Exploring different forest definitions and their impact on developing REDD+ reference emission levels: a case study for Indonesia , 2013 .
[24] Ronald E. McRoberts,et al. Post-classification approaches to estimating change in forest area using remotely sensed auxiliary data , 2014 .
[25] W. Kurz,et al. Developing Canada's National Forest Carbon Monitoring, Accounting and Reporting System to Meet the Reporting Requirements of the Kyoto Protocol , 2006 .
[26] Urs Wegmüller,et al. Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements , 2011 .
[27] A. Prokushkin,et al. Critical analysis of root : shoot ratios in terrestrial biomes , 2006 .
[28] Belinda A. Margono,et al. Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010 , 2012 .
[29] S. Roxburgh,et al. Testing allometric equations for prediction of above-ground biomass of mallee eucalypts in southern Australia , 2013 .
[30] Eric A. Lehmann,et al. Forest cover trends from time series Landsat data for the Australian continent , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[31] James S. Clark,et al. Why environmental scientists are becoming Bayesians , 2004 .
[32] J. Heikkinen,et al. Interpolating and Extrapolating Information from Periodic Forest Surveys for Annual Greenhouse Gas Reporting , 2012 .
[33] Sassan Saatchi,et al. Mapping tropical forest biomass with radar and spaceborne LiDAR: overcoming problems of high biomass and persistent cloud , 2011 .
[34] G. Sánchez‐Azofeifa,et al. Monitoring secondary tropical forests using space-borne data: Implications for Central America , 2003 .
[35] Curtis E. Woodcock,et al. Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors , 2001 .
[36] Göran Ståhl,et al. Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. , 2011 .
[37] R. McRoberts,et al. Using the regression estimator with Landsat data to estimate proportion forest cover and net proportion deforestation in Gabon , 2014 .
[38] P. Kandel. Monitoring above-ground forest biomass: A comparison of cost and accuracy between LiDAR assisted multisource programme and field-based forest resource assessment in Nepal , 2013 .
[39] P. Snowdon,et al. A ratio estimator for bias correction in logarithmic regressions , 1991 .
[40] S. Hubbell,et al. Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama , 2003 .
[41] C. Barton,et al. Effect of spacing and water availability on root:shoot ratio in Eucalyptus camaldulensis , 2006 .
[42] J. V. Soares,et al. Distribution of aboveground live biomass in the Amazon basin , 2007 .
[43] R. Birdsey,et al. National-Scale Biomass Estimators for United States Tree Species , 2003, Forest Science.
[44] Ronald E. McRoberts,et al. Statistical inference for remote sensing-based estimates of net deforestation , 2012 .
[45] P. Muukkonen,et al. Generalized allometric volume and biomass equations for some tree species in Europe , 2007, European Journal of Forest Research.
[46] James H. Brown,et al. A general model for the structure and allometry of plant vascular systems , 1999, Nature.
[47] Yu Zeng,et al. Change detection approach to SAR and optical image integration , 2008 .
[48] J. Chave,et al. Structure and Biomass of Four Lowland Neotropical Forests , 2004 .
[49] Josef Kellndorfer,et al. Large-Area Classification and Mapping of Forest and Land Cover in the Brazilian Amazon: A Comparative Analysis of ALOS/PALSAR and Landsat Data Sources , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[50] Dar A. Roberts,et al. Ten-Year Landsat Classification of Deforestation and Forest Degradation in the Brazilian Amazon , 2013, Remote. Sens..
[51] Carlos A. Sierra,et al. Probability distribution of allometric coefficients and Bayesian estimation of aboveground tree biomass , 2012 .
[52] Jin Chen,et al. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter , 2004 .
[53] Masanobu Shimada,et al. An Evaluation of the ALOS PALSAR L-Band Backscatter—Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[54] Jeffrey Q. Chambers,et al. Tree damage, allometric relationships, and above-ground net primary production in central Amazon forest , 2001 .
[55] Lindsay B. Hutley,et al. Allometry for estimating aboveground tree biomass in tropical and subtropical eucalypt woodlands: towards general predictive equations , 2005 .
[56] J. Chambers,et al. Tree allometry and improved estimation of carbon stocks and balance in tropical forests , 2005, Oecologia.
[57] G. Vieilledent,et al. A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models. , 2012, Ecological applications : a publication of the Ecological Society of America.
[58] D. A. King,et al. Height-diameter allometry of tropical forest trees , 2010 .
[59] Warren B. Cohen,et al. Trajectory-based change detection for automated characterization of forest disturbance dynamics , 2007 .
[60] Alexandre Bouvet,et al. Estimating tropical deforestation from Earth observation data , 2010 .
[61] R. Waring,et al. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning , 1997 .
[62] C. Peng,et al. General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China , 2011, Ecological Research.
[63] M. Cannell,et al. Woody biomass of forest stands , 1984 .
[64] S. Roxburgh,et al. Improved estimation of biomass accumulation by environmental plantings and mallee plantings using FullCAM , 2013 .
[65] A. Lugo,et al. Estimating biomass and biomass change of tropical forests , 1997 .
[66] A. Cowie,et al. Developing general allometric relationships for regional estimates of carbon sequestration - an example using 'Eucalyptus pilularis' from seven contrasting sites , 2005 .
[67] J. Terborgh,et al. Tree height integrated into pantropical forest biomass estimates , 2012 .
[68] M. Radojević,et al. Emissions from the combustion of peat: an experimental study , 2000 .
[69] R. B. Jackson,et al. Rooting depths, lateral root spreads and below‐ground/above‐ground allometries of plants in water‐limited ecosystems , 2002 .
[70] K. Richards,et al. Environmental Science and Policy , 2015 .
[71] Matieu Henry,et al. Manual for building tree volume and biomass allometric equations: from field measurement to prediction , 2012 .
[72] James S. Clark,et al. Capturing diversity and interspecific variability in allometries: A hierarchical approach , 2008 .
[73] Ariel E. Lugo,et al. Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data , 1989, Forest Science.
[74] Nicholas C. Coops,et al. Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite-derived estimates of canopy photosynthetic capacity , 1998 .
[75] Göran Ståhl,et al. Model-assisted estimation of change in forest biomass over an 11 year period in a sample survey supported by airborne LiDAR: A case study with post-stratification to provide “activity data” , 2013 .
[76] Q. Ketterings,et al. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests , 2001 .
[77] T. Baldauf. Monitoring Reduced Emissions from Deforestation and Forest Degradation (REDD+) : Capabilities of High- Resolution Active Remote Sensing , 2013 .
[78] Martha C. Anderson,et al. Free Access to Landsat Imagery , 2008, Science.
[79] S. Goetz,et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps , 2012 .
[80] R. Ouimet,et al. Estimation of coarse root biomass and nutrient content for sugar maple, jack pine, and black spruce using stem diameter at breast height , 2008 .
[81] Martial Bernoux,et al. Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of Africa , 2010 .
[82] John R. Jensen,et al. Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .
[83] Lilian Blanc,et al. Error propagation in biomass estimation in tropical forests , 2013 .
[84] Ruth S. DeFries,et al. Earth observations for estimating greenhouse gas emissions from deforestation in developing countries , 2007 .
[85] Jerome K. Vanclay,et al. Evaluating a growth model for forest management using continuous forest inventory data , 1995 .
[86] H. Andersen,et al. 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 , 2011 .
[87] E. Tomppo. National Forest Inventories : pathways for common reporting , 2010 .
[88] Alan H. Strahler,et al. Change-vector analysis in multitemporal space: a tool to detect and categorize land-cover change pro , 1994 .
[89] Stephen V. Stehman,et al. Model-assisted estimation as a unifying framework for estimating the area of land cover and land-cover change from remote sensing , 2009 .
[90] R. J. Raison. Forest management in Australia: Implications for carbon budgets , 2008 .
[91] S. Hamburg,et al. Allometric equations for young northern hardwoods: the importance of age-specific equations for estimating aboveground biomass , 2011 .
[92] F. Ximenes,et al. Proportion of above-ground biomass in commercial logs and residues following the harvest of five commercial forest species in Australia , 2008 .
[93] Terje Gobakken,et al. Inference for lidar-assisted estimation of forest growing stock volume , 2013 .
[94] Geoff Smith,et al. The characterisation and measurement of land cover change through remote sensing: problems in operational applications? , 2003 .
[95] Maxim Shoshany,et al. Influence of slope aspect on Mediterranean woody formations: Comparison of a semiarid and an arid site in Israel , 2001, Ecological Research.
[96] S. Goetz,et al. Satellite-based primary forest degradation assessment in the Democratic Republic of the Congo, 2000–2010 , 2013 .
[97] Pol Coppin,et al. Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .
[98] Youshouzhai Gu. Echo , 1980, The Craft of Poetry.
[99] W. Kurz,et al. An inventory-based analysis of Canada's managed forest carbon dynamics, 1990 to 2008 , 2011, Global Change Biology.
[100] D. Jenkinson,et al. Modelling the turnover of organic matter in long-term experiments at Rothamsted , 1987 .
[101] K. Niklas. Size-dependent Allometry of Tree Height, Diameter and Trunk-taper , 1995 .
[102] Ronald E. McRoberts,et al. Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data , 2010 .
[103] Florian Siegert,et al. Monitoring Fire and Selective Logging Activities in Tropical Peat Swamp Forests , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[104] Carl-Erik Särndal,et al. Model Assisted Survey Sampling , 1997 .
[105] G. Powell,et al. High-resolution forest carbon stocks and emissions in the Amazon , 2010, Proceedings of the National Academy of Sciences.
[106] Simon Cohen,et al. Carbon emissions from smouldering peat in shallow and strong fronts , 2009 .
[107] Ronald E. McRoberts,et al. Using satellite imagery as ancillary data for increasing the precision of estimates for the Forest Inventory and Analysis program of the USDA Forest Service , 2005 .
[108] B. Parresol. Assessing Tree and Stand Biomass: A Review with Examples and Critical Comparisons , 1999, Forest Science.
[109] S. Goetz,et al. Importance of biomass in the global carbon cycle , 2009 .