TanDEM-X data for aboveground biomass retrieval in a tropical peat swamp forest

[1]  Roger Bivand,et al.  Bindings for the Geospatial Data Abstraction Library , 2015 .

[2]  C. Schmullius,et al.  Importance of bistatic SAR features from TanDEM-X for forest mapping and monitoring , 2014 .

[3]  Irena Hajnsek,et al.  TanDEM-X Pol-InSAR Performance for Forest Height Estimation , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Erle C. Ellis,et al.  High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision , 2013 .

[5]  Roberta E. Martin,et al.  High-fidelity national carbon mapping for resource management and REDD+ , 2013, Carbon Balance and Management.

[6]  Sandra Englhart,et al.  Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets , 2013, Remote. Sens..

[7]  Hans-Dieter Viktor Boehm,et al.  Multi-Temporal Airborne LiDAR-Survey and Field Measurements of Tropical Peat Swamp Forest to Monitor Changes , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[8]  I. Hajnsek,et al.  Pol-InSAR techniques for forest characterization with TanDEM-X , 2013 .

[9]  R. Madhok,et al.  The Systemic Lupus Erythematosus IRF5 Risk Haplotype Is Associated with Systemic Sclerosis , 2013, PloS one.

[10]  C. Woodall,et al.  Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage , 2013, Carbon Balance and Management.

[11]  I. Woodhouse,et al.  Radar backscatter is not a \'direct measure\' of forest biomass , 2012 .

[12]  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.

[13]  Irena Hajnsek,et al.  Boreal forest biomass classification with TanDEM-X , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[14]  M. Hansen,et al.  REDDcalculator.com: a web‐based decision‐support tool for implementing Indonesia’s forest moratorium , 2012 .

[15]  G. Asner,et al.  Evaluating uncertainty in mapping forest carbon with airborne LiDAR , 2011 .

[16]  S. Saatchi,et al.  Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass , 2011 .

[17]  Sassan Saatchi,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 .

[18]  M. Köhl,et al.  Implications of sampling design and sample size for national carbon accounting systems , 2011, Carbon balance and management.

[19]  D. Burslem,et al.  Estimating aboveground biomass in forest and oil palm plantation in Sabah, Malaysian Borneo using ALOS PALSAR data , 2011 .

[20]  Hu Ji-ping Tan Qu-lin The Use of Imaging Radars for Ecological Applications , 2011 .

[21]  Sean C. Thomas,et al.  A Reassessment of Carbon Content in Tropical Trees , 2011, PloS one.

[22]  Sandra Englhart,et al.  Aboveground biomass retrieval in tropical forests — The potential of combined X- and L-band SAR data use , 2011 .

[23]  Mathias Schardt,et al.  Forest Assessment Using High Resolution SAR Data in X-Band , 2011, Remote. Sens..

[24]  Christiane Schmullius,et al.  Large area forest stem volume mapping in the boreal zone using synergy of ERS-1/2 tandem coherence and MODIS vegetation continuous fields , 2011 .

[25]  Soo Chin Liew,et al.  Remotely sensed evidence of tropical peatland conversion to oil palm , 2011, Proceedings of the National Academy of Sciences.

[26]  G. Alexandrov,et al.  The meaning of the 'impact factor' in the case of an open-access journal , 2011, Carbon balance and management.

[27]  Christopher J. Banks,et al.  Global and regional importance of the tropical peatland carbon pool , 2011 .

[28]  Danilo Mollicone,et al.  Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC , 2010, Carbon balance and management.

[29]  L. Verchot,et al.  Opportunities for reducing greenhouse gas emissions in tropical peatlands , 2010, Proceedings of the National Academy of Sciences.

[30]  Barbara Koch,et al.  Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment , 2010 .

[31]  G. Powell,et al.  High-resolution forest carbon stocks and emissions in the Amazon , 2010, Proceedings of the National Academy of Sciences.

[32]  M. Lefsky,et al.  Forest carbon densities and uncertainties from Lidar, QuickBird, and field measurements in California , 2010 .

[33]  Olga Kalinina,et al.  Dynamics of carbon pools in post-agrogenic sandy soils of southern taiga of Russia , 2010, Carbon balance and management.

[34]  João Roberto dos Santos,et al.  Eucalyptus Biomass and Volume Estimation Using Interferometric and Polarimetric SAR Data , 2010, Remote. Sens..

[35]  Gerhard Krieger,et al.  Interferometric Synthetic Aperture Radar (SAR) Missions Employing Formation Flying , 2010, Proceedings of the IEEE.

[36]  David Miller,et al.  The TerraSAR-X Satellite , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[37]  S. Cloude Polarisation: Applications in Remote Sensing , 2009 .

[38]  R. B. Jackson,et al.  CO 2 emissions from forest loss , 2009 .

[39]  Josep G. Canadell,et al.  Current and future CO 2 emissions from drained peatlands in Southeast Asia , 2009 .

[40]  G. Asner,et al.  Environmental and Biotic Controls over Aboveground Biomass Throughout a Tropical Rain Forest , 2009, Ecosystems.

[41]  Irena Hajnsek,et al.  Tropical-Forest-Parameter Estimation by Means of Pol-InSAR: The INDREX-II Campaign , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[42]  Edzer J. Pebesma,et al.  Applied Spatial Data Analysis with R - Second Edition , 2008, Use R!.

[43]  S. Page,et al.  Peat–water interrelationships in a tropical peatland ecosystem in Southeast Asia , 2008 .

[44]  J. Swenson,et al.  Reference scenarios for deforestation and forest degradation in support of REDD: a review of data and methods , 2008 .

[45]  Y. Hu,et al.  Mapping the height and above‐ground biomass of a mixed forest using lidar and stereo Ikonos images , 2008 .

[46]  Helko Breit,et al.  TerraSAR-X Ground Segment Basic Product Specification Document , 2008 .

[47]  Shi-qi Huang,et al.  Some uncertain factor analysis and improvement in spaceborne synthetic aperture radar imaging , 2007, Signal Process..

[48]  Sandra A. Brown,et al.  Monitoring and estimating tropical forest carbon stocks: making REDD a reality , 2007 .

[49]  H. Balzter,et al.  Forest canopy height and carbon estimation at Monks Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry , 2007 .

[50]  E. Suzuki,et al.  Mortality and growth of trees in peat-swamp and heath forests in Central Kalimantan after severe drought , 2007, Plant Ecology.

[51]  Christiane Schmullius,et al.  Properties of ERS-1/2 coherence in the Siberian boreal forest and implications for stem volume retrieval , 2007 .

[52]  Gerhard Krieger,et al.  TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[53]  B. Koch,et al.  Detection of individual tree crowns in airborne lidar data , 2006 .

[54]  P. Krause,et al.  COMPARISON OF DIFFERENT EFFICIENCY CRITERIA FOR HYDROLOGICAL MODEL ASSESSMENT , 2005 .

[55]  W. Cohen,et al.  Estimates of forest canopy height and aboveground biomass using ICESat , 2005 .

[56]  Hidenori Takahashi,et al.  Carbon fluxes from a tropical peat swamp forest floor , 2005 .

[57]  Malcolm Davidson,et al.  INDREX II - indonesian airborne radar experiment campaign over tropical forest in L- and P-band: first results , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[58]  J. Chambers,et al.  Tree allometry and improved estimation of carbon stocks and balance in tropical forests , 2005, Oecologia.

[59]  Peter Aldhous,et al.  Land remediation: Borneo is burning , 2004, Nature.

[60]  Maurizio Santoro,et al.  Multitemporal repeat pass SAR interferometry of boreal forests , 2003, IEEE Transactions on Geoscience and Remote Sensing.

[61]  Christiane Schmullius,et al.  Multitemporal JERS repeat-pass coherence for growing-stock volume estimation of Siberian forest , 2003, IEEE Trans. Geosci. Remote. Sens..

[62]  S. Cloude,et al.  Three-stage inversion process for polarimetric SAR interferometry , 2003 .

[63]  Christiane Schmullius,et al.  Large-scale mapping of boreal forest in Siberia , 2003 .

[64]  G. Sánchez‐Azofeifa,et al.  Monitoring secondary tropical forests using space-borne data: Implications for Central America , 2003 .

[65]  S. Page,et al.  The amount of carbon released from peat and forest fires in Indonesia during 1997 , 2002, Nature.

[66]  Maurizio Santoro,et al.  Stem volume retrieval in boreal forests from ERS-1/2 interferometry , 2002 .

[67]  Konstantinos Papathanassiou,et al.  Single-baseline polarimetric SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[68]  H. Balzter Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR) , 2001 .

[69]  R. Hanssen Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[70]  J. Susskind,et al.  Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations , 2001 .

[71]  Johan E. S. Fransson,et al.  Stem volume estimation in boreal forests using ERS-1/2 coherence and SPOT XS optical data , 2001 .

[72]  Urs Wegmüller,et al.  Repeat-Pass Interferometric Coherence Measurements of Disturbed Tropical Forest from JERS and ERS Satellites , 2000 .

[73]  Fuk K. Li,et al.  Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.

[74]  W Shotyk,et al.  Interdependence of peat and vegetation in a tropical peat swamp forest. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[75]  Konstantinos P. Papathanassiou,et al.  Polarimetric SAR interferometry , 1998, IEEE Trans. Geosci. Remote. Sens..

[76]  R. Bamler,et al.  Synthetic aperture radar interferometry , 1998 .

[77]  V. D. Phillips Peatswamp ecology and sustainable development in Borneo , 1998, Biodiversity & Conservation.

[78]  M. Honzak,et al.  Tropical Forest Biomass Density Estimation Using JERS-1 SAR: Seasonal Variation, Confidence Limits, and Application to Image Mosaics , 1998 .

[79]  A. Al-Shuaibi,et al.  THE RIEMANN ZETA FUNCTION USED IN THE INVERSION OF THE LAPLACE TRANSFORM , 1998 .

[80]  J. V. Soares,et al.  Mapping deforestation and land use in Amazon rainforest by using SIR-C imagery , 1997 .

[81]  M. Dobson,et al.  The use of Imaging radars for ecological applications : A review , 1997 .

[82]  Kamal Sarabandi,et al.  Estimation of forest biophysical characteristics in Northern Michigan with SIR-C/X-SAR , 1995, IEEE Trans. Geosci. Remote. Sens..

[83]  Kim Worm Sorensen Indonesian peat swamp forests and their role as a carbon sink , 1993 .

[84]  Thuy Le Toan,et al.  Relating forest biomass to SAR data , 1992, IEEE Trans. Geosci. Remote. Sens..

[85]  Ariel E. Lugo,et al.  Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data , 1989, Forest Science.

[86]  D. G. Watts,et al.  Nonlinear Regression Analysis and Its Applications , 1988 .

[87]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[88]  D. Hoekman,et al.  Relationship of Canopy Cover with TanDEM-X Features in a Tropical Peat Swamp Forest , 2013 .

[89]  Peter Reinartz,et al.  Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data , 2011 .

[90]  C. Verwer,et al.  Carbon pools in tropical peat forest : towards a reference value for forest biomass carbon in relatively undisturbed peat swamp forests in Southeast Asia , 2010 .

[91]  Steffen Kuntz,et al.  Potential of spaceborne SAR for monitoring the tropical environments , 2010 .

[92]  Achard Frederic,et al.  GOFC-GOLD, 2010, A Sourcebook of Methods and Procedures for Monitoring and Reporting Anthropogenic Greenhouse Gas Emissions and Removals Caused by Deforestation, Gains and Losses of Carbon Stocks in Forests Remaining Forests, and Forestation , 2010 .

[93]  Urs Wegmüller,et al.  Retrieval of vegetation parameters with SAR interferometry , 1997, IEEE Trans. Geosci. Remote. Sens..

[94]  Lars M. H. Ulander,et al.  C-band repeat-pass interferometric SAR observations of the forest , 1997, IEEE Trans. Geosci. Remote. Sens..

[95]  L. Iverson,et al.  Biomass estimates for tropical forests , 1992 .

[96]  A. Lugo,et al.  Wood Densities of Tropical Tree Species , 1992 .

[97]  G. Seber,et al.  Linear Regression Analysis , 1980 .