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Original Articles

Potential of SAR for forest bole volume estimation

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Pages 2809-2826 | Published online: 27 Apr 2007

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Read on this site (8)

Yuval Reuveni, Erez Dahan, Yaakov Anker & Michael Sprintsin. (2018) Estimating forest parameters using Landsat ETM+ spectral responses and monocultured plantation fieldwork measurements data. International Journal of Remote Sensing 39:8, pages 2620-2636.
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Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Gherardo Chirici, Matteo Mura & Fabio Maselli. (2015) Application of Neural Networks for the retrieval of forest woody volume from SAR multifrequency data at L and C bands. European Journal of Remote Sensing 48:1, pages 673-687.
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F. G. Gonçalves, J. R. Santos & R. N. Treuhaft. (2011) Stem volume of tropical forests from polarimetric radar. International Journal of Remote Sensing 32:2, pages 503-522.
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M. Santoro, L. Eriksson$suffix/text()$suffix/text(), J. Askne & C. Schmullius. (2006) Assessment of stand‐wise stem volume retrieval in boreal forest from JERS‐1 L‐band SAR backscatter. International Journal of Remote Sensing 27:16, pages 3425-3454.
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Fredrik Walter. (1997) Extraction of forest tree volume from CARABAS SAR data. Scandinavian Journal of Forest Research 12:4, pages 370-374.
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G. M. FOODY & R. A. HILL. (1996) Classification of tropical forest classes from Landsat TM data.. International Journal of Remote Sensing 17:12, pages 2353-2367.
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H. ISRAELSSON & J. ASKNE. (1994) Importance of dihedral reflection in radar remote sensing of forests. International Journal of Remote Sensing 15:8, pages 1585-1593.
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Articles from other publishers (21)

Albert R. Monteith & Lars M. H. Ulander. (2021) Temporal Characteristics of P-Band Tomographic Radar Backscatter of a Boreal Forest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, pages 1967-1984.
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Wenhui Lang, Pan Zhang, Jie Wu, Yang Shen & Xuezhi Yang. (2016) Incidence Angle Correction of SAR Sea Ice Data Based on Locally Linear Mapping. IEEE Transactions on Geoscience and Remote Sensing 54:6, pages 3188-3199.
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Christian Thiel & Christiane Schmullius. (2016) The potential of ALOS PALSAR backscatter and InSAR coherence for forest growing stock volume estimation in Central Siberia. Remote Sensing of Environment 173, pages 258-273.
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Gustaf Sandberg, Lars M. H. Ulander, Jorgen Wallerman & Johan E. S. Fransson. (2014) Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter. IEEE Transactions on Geoscience and Remote Sensing 52:10, pages 6047-6061.
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Maciej Jerzy Soja, Gustaf Sandberg & Lars M. H. Ulander. (2013) Regression-Based Retrieval of Boreal Forest Biomass in Sloping Terrain Using P-Band SAR Backscatter Intensity Data. IEEE Transactions on Geoscience and Remote Sensing 51:5, pages 2646-2665.
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Oleg Antropov, Yrjö Rauste, Heikki Ahola & Tuomas Hame. (2013) Stand-Level Stem Volume of Boreal Forests From Spaceborne SAR Imagery at L-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6:1, pages 35-44.
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Christian Thiel & Christiane Schmullius. (2012) Effect of tree species on PALSAR INSAR coherence over Siberian forest at frozen and unfrozen conditions. Effect of tree species on PALSAR INSAR coherence over Siberian forest at frozen and unfrozen conditions.
G. Sandberg, L.M.H. Ulander, J.E.S. Fransson, J. Holmgren & T. Le Toan. (2011) L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest. Remote Sensing of Environment 115:11, pages 2874-2886.
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C.J. Thiel, C. Thiel & C.C. Schmullius. (2009) Operational Large-Area Forest Monitoring in Siberia Using ALOS PALSAR Summer Intensities and Winter Coherence. IEEE Transactions on Geoscience and Remote Sensing 47:12, pages 3993-4000.
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Ch. Thiel, Ca. Thiel, T. Riedel & C. Schmullius. 2008. Object-Based Image Analysis. Object-Based Image Analysis 327 343 .
C. Thiel, P. Drezet, C. Weise, S. Quegan & C. Schmullius. (2006) Radar remote sensing for the delineation of forest cover maps and the detection of deforestation. Forestry 79:5, pages 589-597.
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Dengsheng Lu, Paul Mausel, Eduardo Brondı́zio & Emilio Moran. (2004) Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin. Forest Ecology and Management 198:1-3, pages 149-167.
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F. Del Frate & D. Solimini. (2004) On Neural Network Algorithms for Retrieving Forest Biomass From SAR Data. IEEE Transactions on Geoscience and Remote Sensing 42:1, pages 24-34.
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J.C. Mura, L. Sant'Anna Bins, F.F. Gama, C. da Costa Freitas, J.R. dos Santos & L.V. Dutra. (2001) Identification of the tropical forest in Brazilian Amazon based on the DEM difference from P and X bands interferometric data. Identification of the tropical forest in Brazilian Amazon based on the DEM difference from P and X bands interferometric data.
H. Israelsson, L.M.H. Ulander, T. Martin & J.I.H. Askne. (2000) A coherent scattering model to determine forest backscattering in the VHF-band. IEEE Transactions on Geoscience and Remote Sensing 38:1, pages 238-248.
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M.L. Imhoff, S. Carson & P. Johnson. (1998) A low-frequency radar experiment for measuring vegetation biomass. IEEE Transactions on Geoscience and Remote Sensing 36:6, pages 1988-1991.
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Marc L. Imhoff, Thomas D. Sisk, Anthony Milne, Garth Morgan & Tony Orr. (1997) Remotely sensed indicators of habitat heterogeneity: Use of synthetic aperture radar in mapping vegetation structure and bird habitat. Remote Sensing of Environment 60:3, pages 217-227.
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H. Israelsson, L.M.H. Ulander, J.L.H. Askne, J.E.S. Fransson, P.-O. Frolind, A. Gustavsson & H. Hellsten. (1997) Retrieval of forest stem volume using VHF SAR. IEEE Transactions on Geoscience and Remote Sensing 35:1, pages 36-40.
Crossref
Kevin White. (2016) Remote sensing. Progress in Physical Geography: Earth and Environment 20:1, pages 89-96.
Crossref
H. Israelsson & J. Askne. (1993) The effect of leaning trunks on forest radar backscattering. The effect of leaning trunks on forest radar backscattering.
H. Israelsson, J. Askne & R. Sylvander. (1993) Multi-temporal analysis of a boreal forest using ERS-1 and JERS-1 SAR data. Multi-temporal analysis of a boreal forest using ERS-1 and JERS-1 SAR data.

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