Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico
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Heiko Balzter | Sassan Saatchi | Kevin Tansey | Pedro Rodriguez-Veiga | P. Rodríguez-Veiga | K. Tansey | H. Balzter | S. Saatchi
[1] Balkan Region,et al. Global Forest Resources Assessment 2005 - Report on fires in the , 2006 .
[2] R. Lucas,et al. New global forest/non-forest maps from ALOS PALSAR data (2007–2010) , 2014 .
[3] Leveraging the Landscape , 2012 .
[4] A. Jarvis. Hole-field seamless SRTM data, International Centre for Tropical Agriculture (CIAT) , 2008 .
[5] Francis Canisius,et al. ALOS PALSAR L-band polarimetric SAR data and in situ measurements for leaf area index assessment , 2012 .
[6] Erik Næsset,et al. The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient , 2014 .
[7] Sandra A. Brown,et al. Monitoring and estimating tropical forest carbon stocks: making REDD a reality , 2007 .
[8] Oleg Antropov,et al. Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part I: Forest Cover and Accuracy Assessment Using Multi-Resolution Data , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[9] Urs Wegmüller,et al. Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements , 2011 .
[10] Masanobu Shimada,et al. JERS-1 SAR mosaics of Southeast Asia using calibrated path images , 2002 .
[11] T. Dawson,et al. SPECIES: A Spatial Evaluation of Climate Impact on the Envelope of Species , 2002 .
[12] A. Baccini,et al. Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda , 2012 .
[13] J. Kauffman,et al. Biomass, Carbon, and Nitrogen Pools in Mexican Tropical Dry Forest Landscapes , 2003, Ecosystems.
[14] Miroslav Dudík,et al. A maximum entropy approach to species distribution modeling , 2004, ICML.
[15] T. Dawson,et al. Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data , 2004 .
[16] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[17] Richard Condit,et al. Error propagation and scaling for tropical forest biomass estimates. , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[18] J. Townshend,et al. Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm , 2003 .
[19] S. Goetz,et al. Reply to Comment on ‘A first map of tropical Africa’s above-ground biomass derived from satellite imagery’ , 2008, Environmental Research Letters.
[20] Guoqing Sun,et al. MODIS tree cover validation for the circumpolar taiga-tundra transition zone , 2009 .
[21] Limin Yang,et al. COMPLETION OF THE 1990S NATIONAL LAND COVER DATA SET FOR THE CONTERMINOUS UNITED STATES FROM LANDSAT THEMATIC MAPPER DATA AND ANCILLARY DATA SOURCES , 2001 .
[22] Oliver Cartus,et al. A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico , 2014, Remote. Sens..
[23] I. Woodhouse,et al. Using satellite radar backscatter to predict above‐ground woody biomass: A consistent relationship across four different African landscapes , 2009 .
[24] Wenkai Li,et al. Please Scroll down for Article International Journal of Remote Sensing a Maximum Entropy Approach to One-class Classification of Remote Sensing Imagery a Maximum Entropy Approach to One-class Classification of Remote Sensing Imagery , 2022 .
[25] S. Goetz,et al. Uncertainty in the spatial distribution of tropical forest biomass: a comparison of pan-tropical maps , 2013, Carbon Balance and Management.
[26] F. Rocca,et al. The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle , 2011 .
[27] C. Schmullius,et al. Carbon stock and density of northern boreal and temperate forests , 2014 .
[28] Thuy Le Toan,et al. Relating Radar Remote Sensing of Biomass to Modelling of Forest Carbon Budgets , 2004 .
[29] John M. Kovacs,et al. Applications of ALOS PALSAR for monitoring biophysical parameters of a degraded black mangrove (Avicennia germinans) forest , 2013 .
[30] D. Roy,et al. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States , 2010 .
[31] Katarzyna Dabrowska-Zielinska,et al. Monitoring Wetlands Ecosystems Using ALOS PALSAR (L-Band, HV) Supplemented by Optical Data: A Case Study of Biebrza Wetlands in Northeast Poland , 2014, Remote. Sens..
[32] Michael J. Oimoen,et al. The National Elevation Dataset , 2002 .
[33] W. Salas,et al. Benchmark map of forest carbon stocks in tropical regions across three continents , 2011, Proceedings of the National Academy of Sciences.
[34] Christiane Schmullius,et al. Large-scale mapping of boreal forest in Siberia , 2003 .
[35] R. Halvorsen,et al. Modelling and predicting fungal distribution patterns using herbarium data , 2008 .
[36] M. D. Nelson,et al. Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information , 2008 .
[37] S. Hubbell,et al. Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama , 2003 .
[38] Harris David,et al. A statistical explanation of MaxEnt for ecologists , 2013 .
[39] J. Terborgh,et al. Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites , 2014, Global ecology and biogeography : a journal of macroecology.
[40] D. A. King,et al. Height-diameter allometry of tropical forest trees , 2010 .
[41] A. Lugo,et al. Estimating biomass and biomass change of tropical forests , 1997 .
[42] A. Bloom,et al. Are Inventory Based and Remotely Sensed Above-Ground Biomass Estimates Consistent? , 2013, PloS one.
[43] Tomohiro Shiraishi,et al. Generation of 10m resolution PALSAR and JERS-SAR mosaic and forest/non-forest maps for forest carbon tracking , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[44] P. Cury,et al. The Use of a Predictive Habitat Model and a Fuzzy Logic Approach for Marine Management and Planning , 2013, PloS one.
[45] R. Houghton,et al. Aboveground Forest Biomass and the Global Carbon Balance , 2005 .
[46] Gretchen G. Moisen,et al. A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and Kappa , 2008 .
[47] Oleg Antropov,et al. Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part II: Above Ground Biomass Estimation , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[48] I. Woodhouse,et al. Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest-savanna boundary region of central Africa using multi-temporal L-band radar backscatter , 2011 .
[49] 國合會系統管理者. Global Forest Resources Assessment , 2016 .
[50] Robert P. Anderson,et al. Maximum entropy modeling of species geographic distributions , 2006 .
[51] T. Dawson,et al. Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol , 2005 .
[52] C. Justice,et al. High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.
[53] G. Asner,et al. High-resolution mapping of forest carbon stocks in the Colombian Amazon , 2012 .
[54] Chengquan Huang,et al. Conservation policy and the measurement of forests , 2016 .
[55] João Manuel de Brito Carreiras,et al. Estimating the Above-Ground Biomass in Miombo Savanna Woodlands (Mozambique, East Africa) Using L-Band Synthetic Aperture Radar Data , 2013, Remote. Sens..
[56] S. Goetz,et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps , 2012 .
[57] Chengquan Huang,et al. Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error , 2013, Int. J. Digit. Earth.
[58] S. Saatchi,et al. Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass , 2011 .
[59] Christian Thiel,et al. Operational Large-Area Forest Monitoring in Siberia Using ALOS PALSAR Summer Intensities and Winter Coherence , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[60] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[61] J. Chambers,et al. Tree allometry and improved estimation of carbon stocks and balance in tropical forests , 2005, Oecologia.
[62] A. Baccini,et al. Mapping forest canopy height globally with spaceborne lidar , 2011 .
[63] M. Lefsky. A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System , 2010 .
[64] Heiko Balzter,et al. An environmental assessment of land cover and land use change in Central Siberia using quantified conceptual overlaps to reconcile inconsistent data sets , 2008 .
[65] S. Goetz,et al. Importance of biomass in the global carbon cycle , 2009 .