22.5.11.3.1 Biomass Measurements, Forest, TanDEM-X, SAR, Radar Measurements

Chapter Contents (Back)
Biomass Measurement. SAR. P-Band

Saatchi, S., Halligan, K.Q., Despain, D.G., Crabtree, R.L.,
Estimation of Forest Fuel Load From Radar Remote Sensing,
GeoRS(45), No. 6, June 2007, pp. 1726-1740.
IEEE DOI 0706
BibRef

Askne, J., Santoro, M.,
Automatic Model-Based Estimation of Boreal Forest Stem Volume From Repeat Pass C-band InSAR Coherence,
GeoRS(47), No. 2, February 2009, pp. 513-516.
IEEE DOI 0903
See also Multitemporal Repeat Pass SAR Interferometry of Boreal Forests. BibRef

Hallberg, B., Smith-Jonforsen, G., Ulander, L.M.H., Sandberg, G.,
A Physical-Optics Model for Double-Bounce Scattering From Tree Stems Standing on an Undulating Ground Surface,
GeoRS(46), No. 9, September 2008, pp. 2607-2621.
IEEE DOI 0810
BibRef

Folkesson, K., Smith-Jonforsen, G., Ulander, L.M.H.,
Model-Based Compensation of Topographic Effects for Improved Stem-Volume Retrieval From CARABAS-II VHF-Band SAR Images,
GeoRS(47), No. 4, April 2009, pp. 1045-1055.
IEEE DOI 0903
BibRef

Amini, J., Sumantyo, J.T.S.,
Employing a Method on SAR and Optical Images for Forest Biomass Estimation,
GeoRS(47), No. 12, December 2009, pp. 4020-4026.
IEEE DOI 0912
BibRef

Gama, F., Dos Santos, J.R., Mura, J.C.,
Eucalyptus Biomass and Volume Estimation Using Interferometric and Polarimetric SAR Data,
RS(2), No. 4, April 2010, pp. 939-956.
DOI Link 1203
BibRef

Tsui, O.W.[Olivier W.], Coops, N.C.[Nicholas C.], Wulder, M.A.[Michael A.], Marshall, P.L.[Peter L.], McCardle, A.[Adrian],
Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest,
PandRS(69), No. 1, April 2012, pp. 121-133.
Elsevier DOI 1202
Above-ground biomass; Radar; LiDAR; Coherence; Polarimetry; Temperate forests BibRef

Sarker, M.L.R.[M. Latifur Rahman], Nichol, J.[Janet], Ahmad, B.[Baharin], Busu, I.[Ibrahim], Rahman, A.A.[Alias Abdul],
Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation,
PandRS(69), No. 1, April 2012, pp. 146-166.
Elsevier DOI 1202
PALSAR; Dual polarization; SAR image texture; Saturation level; Forest biomass; Leave-One-Out Cross-Validation BibRef

Cutler, M.E.J., Boyd, D.S., Foody, G.M., Vetrivel, A.,
Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions,
PandRS(70), No. 1, June 2012, pp. 66-77.
Elsevier DOI 1206
Biomass; SAR; Artificial neural network; Wavelets; Allometry BibRef

Minh, D.H.T.[Dinh Ho Tong], Tebaldini, S., Rocca, F., Koleck, T., Borderies, P., Albinet, C., Villard, L., Hamadi, A., Le Toan, T.,
Ground-Based Array for Tomographic Imaging of the Tropical Forest in P-Band,
GeoRS(51), No. 8, 2013, pp. 4460-4472.
IEEE DOI 1307
Array design BibRef

Hamadi, A., Albinet, C., Borderies, P., Koleck, T., Villard, L., Minh, D.H.T.[Dinh Ho Tong], Le Toan, T.,
Temporal Survey of Polarimetric P-Band Scattering of Tropical Forests,
GeoRS(52), No. 8, August 2014, pp. 4539-4547.
IEEE DOI 1403
Antennas BibRef

Neumann, M., Saatchi, S.S., Ulander, L.M.H., Fransson, J.E.S.,
Assessing Performance of L- and P-Band Polarimetric Interferometric SAR Data in Estimating Boreal Forest Above-Ground Biomass,
GeoRS(50), No. 3, March 2012, pp. 714-726.
IEEE DOI 1203
BibRef

Askne, J.I.H.[Jan I.H.], Fransson, J.E.S.[Johan E.S.], Santoro, M.[Maurizio], Soja, M.J.[Maciej J.], Ulander, L.M.H.[Lars M.H.],
Model-Based Biomass Estimation of a Hemi-Boreal Forest from Multitemporal TanDEM-X Acquisitions,
RS(5), No. 11, 2013, pp. 5574-5597.
DOI Link 1312
BibRef

Robinson, C., Saatchi, S., Neumann, M., Gillespie, T.,
Impacts of Spatial Variability on Aboveground Biomass Estimation from L-Band Radar in a Temperate Forest,
RS(5), No. 3, March 2013, pp. 1001-1023.
DOI Link 1304
BibRef

Carreiras, J., Melo, J., Vasconcelos, M.,
Estimating the Above-Ground Biomass in Miombo Savanna Woodlands (Mozambique, East Africa) Using L-Band Synthetic Aperture Radar Data,
RS(5), No. 4, April 2013, pp. 1524-1548.
DOI Link 1305
BibRef

Sarker, M.L.R., Nichol, J., Iz, H.B., Ahmad, B.B., Rahman, A.A.,
Forest Biomass Estimation Using Texture Measurements of High-Resolution Dual-Polarization C-Band SAR Data,
GeoRS(51), No. 6, 2013, pp. 3371-3384.
IEEE DOI 1307
SAR signatures; carbon storage estimation; texture measurement; texture ratio BibRef

Aguilera, E., Nannini, M., Reigber, A.,
Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas,
GeoRS(51), No. 12, 2013, pp. 5283-5295.
IEEE DOI 1312
remote sensing by radar BibRef

Chowdhury, T.A.[Tanvir Ahmed], Thiel, C.[Christian], Schmullius, C.[Christiane], Stelmaszczuk-Górska, M.[Martyna],
Polarimetric Parameters for Growing Stock Volume Estimation Using ALOS PALSAR L-Band Data over Siberian Forests,
RS(5), No. 11, 2013, pp. 5725-5756.
DOI Link 1312
BibRef

Thiel, C.[Christian], Schmullius, C.[Christiane],
Impact of Tree Species on Magnitude of PALSAR Interferometric Coherence over Siberian Forest at Frozen and Unfrozen Conditions,
RS(6), No. 2, 2014, pp. 1124-1136.
DOI Link 1403
BibRef

d'Alessandro, M.M., Tebaldini, S., Rocca, F.,
Phenomenology of Ground Scattering in a Tropical Forest Through Polarimetric Synthetic Aperture Radar Tomography,
GeoRS(51), No. 8, 2013, pp. 4430-4437.
IEEE DOI 1307
Histograms BibRef

Ahmed, R.[Razi], Siqueira, P.[Paul], Hensley, S.[Scott],
Analyzing the Uncertainty of Biomass Estimates From L-Band Radar Backscatter Over the Harvard and Howland Forests,
GeoRS(52), No. 6, June 2014, pp. 3568-3586.
IEEE DOI 1403
Backscatter BibRef

Cui, X.H.[Xi-Hong], Guo, L.[Li], Chen, J.[Jin], Chen, X.H.[Xue-Hong], Zhu, X.L.[Xiao-Lin],
Estimating Tree-Root Biomass in Different Depths Using Ground-Penetrating Radar: Evidence from a Controlled Experiment,
GeoRS(51), No. 6, 2013, pp. 3410-3423.
IEEE DOI ground-penetrating radar; metal reflector experiment; root biomass after attenuation-effect compensation; soil water content 1307
BibRef

Santoro, M.[Maurizio], Cartus, O.[Oliver], Fransson, J.E.S.[Johan E.S.], Shvidenko, A.[Anatoly], McCallum, I.[Ian], Hall, R.J.[Ronald J.], Beaudoin, A.[André], Beer, C.[Christian], Schmullius, C.[Christiane],
Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data,
RS(5), No. 9, 2013, pp. 4503-4532.
DOI Link 1310
BibRef

Tanase, M.A., Panciera, R., Lowell, K., Tian, S., Garcia-Martin, A., Walker, J.P.,
Sensitivity of L-Band Radar Backscatter to Forest Biomass in Semiarid Environments: A Comparative Analysis of Parametric and Nonparametric Models,
GeoRS(52), No. 8, August 2014, pp. 4671-4685.
IEEE DOI 1403
Backscatter BibRef

Hensley, S., Oveisgharan, S., Saatchi, S., Simard, M., Ahmed, R., Haddad, Z.,
An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter,
GeoRS(52), No. 7, July 2014, pp. 4065-4082.
IEEE DOI 1403
Backscatter BibRef

Zhu, S.P.[Shi-Ping], Huang, C.L.[Chun-Lin], Su, Y.[Yi], Sato, M.[Motoyuki],
3D Ground Penetrating Radar to Detect Tree Roots and Estimate Root Biomass in the Field,
RS(6), No. 6, 2014, pp. 5754-5773.
DOI Link 1407
BibRef

Sandberg, G., Ulander, L.M.H., Wallerman, J., Fransson, J.E.S.,
Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter,
GeoRS(52), No. 10, October 2014, pp. 6047-6061.
IEEE DOI 1407
Backscatter BibRef

Minh, D.H.T.[Dinh Ho Tong], Toan, T.L.[Thuy Le], Rocca, F., Tebaldini, S., d'Alessandro, M.M., Villard, L.,
Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest Biomass,
GeoRS(52), No. 2, February 2014, pp. 967-979.
IEEE DOI 1402
geophysical image processing BibRef

Vastaranta, M., Holopainen, M., Karjalainen, M., Kankare, V., Hyyppa, J., Kaasalainen, S.,
TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground Biomass and Stem Volume,
GeoRS(52), No. 2, February 2014, pp. 1197-1204.
IEEE DOI 1402
geophysical techniques BibRef

Vastaranta, M.[Mikko], Niemi, M.[Mikko], Karjalainen, M.[Mika], Peuhkurinen, J.[Jussi], Kankare, V.[Ville], Hyyppä, J.[Juha], Holopainen, M.[Markus],
Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery,
RS(6), No. 4, 2014, pp. 3227-3246.
DOI Link 1405
BibRef

Rogers, N.C., Quegan, S., Kim, J.S.[Jun Su], Papathanassiou, K.P.,
Impacts of Ionospheric Scintillation on the BIOMASS P-Band Satellite SAR,
GeoRS(52), No. 3, March 2014, pp. 1856-1868.
IEEE DOI 1403
radar polarimetry BibRef

Kim, J.S.[Jun Su], Papathanassiou, K.P., Scheiber, R., Quegan, S.,
Correcting Distortion of Polarimetric SAR Data Induced by Ionospheric Scintillation,
GeoRS(53), No. 12, December 2015, pp. 6319-6335.
IEEE DOI 1512
Faraday effect BibRef

Persson, H.J.[Henrik J.], Fransson, J.E.S.[Johan E.S.],
Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests,
RS(6), No. 3, 2014, pp. 2084-2107.
DOI Link 1404
BibRef

Quegan, S.[Shaun], Lomas, M.R.,
The Interaction Between Faraday Rotation and System Effects in Synthetic Aperture Radar Measurements of Backscatter and Biomass,
GeoRS(53), No. 8, August 2015, pp. 4299-4312.
IEEE DOI 1506
Faraday effect BibRef

Ningthoujam, R.K.[Ramesh K.], Balzter, H.[Heiko], Tansey, K.[Kevin], Feldpausch, T.R.[Ted R.], Mitchard, E.T.A.[Edward T. A.], Wani, A.A.[Akhlaq A.], Joshi, P.K.[Pawan K.],
Relationships of S-Band Radar Backscatter and Forest Aboveground Biomass in Different Forest Types,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Soja, M.J., Persson, H.J., Ulander, L.M.H.,
Estimation of Forest Biomass From Two-Level Model Inversion of Single-Pass InSAR Data,
GeoRS(53), No. 9, September 2015, pp. 5083-5099.
IEEE DOI 1506
BibRef
And: Corrections: GeoRS(53), No. 10, October 2015, pp. 5795-5795.
IEEE DOI 1509
Biological system modeling BibRef

Attarchi, S.[Sara], Gloaguen, R.[Richard],
Improving the Estimation of Above Ground Biomass Using Dual Polarimetric PALSAR and ETM+ Data in the Hyrcanian Mountain Forest (Iran),
RS(6), No. 5, 2014, pp. 3693-3715.
DOI Link 1407
BibRef

Kugler, F., Schulze, D., Hajnsek, I., Pretzsch, H., Papathanassiou, K.P.,
TanDEM-X Pol-InSAR Performance for Forest Height Estimation,
GeoRS(52), No. 10, October 2014, pp. 6404-6422.
IEEE DOI 1407
Coherence BibRef

Kugler, F., Lee, S.K.[Seung-Kuk], Hajnsek, I., Papathanassiou, K.P.,
Forest Height Estimation by Means of Pol-InSAR Data Inversion: The Role of the Vertical Wavenumber,
GeoRS(53), No. 10, October 2015, pp. 5294-5311.
IEEE DOI 1509
airborne radar BibRef

Solberg, S., Riegler, G., Nonin, P.,
Estimating Forest Biomass From TerraSAR-X Stripmap Radargrammetry,
GeoRS(53), No. 1, January 2015, pp. 154-161.
IEEE DOI 1410
digital elevation models BibRef

Ni, W.J.[Wen-Jian], Zhang, Z.Y.[Zhi-Yu], Sun, G.Q.[Guo-Qing], Guo, Z.F.[Zhi-Feng], He, Y.T.[Ya-Ting],
The Penetration Depth Derived from the Synthesis of ALOS/PALSAR InSAR Data and ASTER GDEM for the Mapping of Forest Biomass,
RS(6), No. 8, 2014, pp. 7303-7319.
DOI Link 1410
BibRef

Joshi, N.P.[Neha P.], Mitchard, E.T.A.[Edward T. A.], Schumacher, J.[Johannes], Johannsen, V.K.[Vivian K.], Saatchi, S.[Sassan], Fensholt, R.[Rasmus],
L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark,
RS(7), No. 4, 2015, pp. 4442-4472.
DOI Link 1505
BibRef

Santoro, M.[Maurizio], Eriksson, L.E.B.[Leif E.B.], Fransson, J.E.S.[Johan E.S.],
Reviewing ALOS PALSAR Backscatter Observations for Stem Volume Retrieval in Swedish Forest,
RS(7), No. 4, 2015, pp. 4290-4317.
DOI Link 1505
BibRef

Lavalle, M., Hensley, S.,
Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation,
GeoRS(53), No. 9, September 2015, pp. 4752-4767.
IEEE DOI 1506
Biomass BibRef

Huang, W.L.[Wen-Li], Sun, G.Q.[Guo-Qing], Ni, W.J.[Wen-Jian], Zhang, Z.Y.[Zhi-Yu], Dubayah, R.[Ralph],
Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass,
RS(7), No. 8, 2015, pp. 9587.
DOI Link 1509
BibRef

Hansen, E.H.[Endre Hofstad], Gobakken, T.[Terje], Solberg, S.[Svein], Kangas, A.[Annika], Ene, L.[Liviu], Mauya, E.[Ernest], Næsset, E.[Erik],
Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest,
RS(7), No. 8, 2015, pp. 9865.
DOI Link 1509
BibRef

Yu, X.W.[Xiao-Wei], Hyyppä, J.[Juha], Karjalainen, M.[Mika], Nurminen, K.[Kimmo], Karila, K.[Kirsi], Vastaranta, M.[Mikko], Kankare, V.[Ville], Kaartinen, H.[Harri], Holopainen, M.[Markus], Honkavaara, E.[Eija], Kukko, A.[Antero], Jaakkola, A.[Anttoni], Liang, X.L.[Xin-Lian], Wang, Y.S.[Yun-Sheng], Hyyppä, H.[Hannu], Katoh, M.[Masato],
Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes,
RS(7), No. 12, 2015, pp. 15809.
DOI Link 1601
BibRef

Yu, Y.[Yifan], Saatchi, S.[Sassan],
Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests,
RS(8), No. 6, 2016, pp. 522.
DOI Link 1608
BibRef

Shen, W.J.[Wen-Juan], Li, M.S.[Ming-Shi], Huang, C.Q.[Cheng-Quan], Wei, A.[Anshi],
Quantifying Live Aboveground Biomass and Forest Disturbance of Mountainous Natural and Plantation Forests in Northern Guangdong, China, Based on Multi-Temporal Landsat, PALSAR and Field Plot Data,
RS(8), No. 7, 2016, pp. 595.
DOI Link 1608
BibRef

Toraño Caicoya, A., Kugler, F., Hajnsek, I., Papathanassiou, K.P.,
Large-Scale Biomass Classification in Boreal Forests With TanDEM-X Data,
GeoRS(54), No. 10, October 2016, pp. 5935-5951.
IEEE DOI 1610
digital elevation models BibRef

Huang, C.D.[Chu-Dong], Ye, X.Y.[Xin-Yue], Deng, C.B.[Cheng-Bin], Zhang, Z.L.[Zi-Li], Wan, Z.[Zi],
Mapping Above-Ground Biomass by Integrating Optical and SAR Imagery: A Case Study of Xixi National Wetland Park, China,
RS(8), No. 8, 2016, pp. 647.
DOI Link 1609
BibRef

Main, R.[Russell], Mathieu, R.[Renaud], Kleynhans, W.[Waldo], Wessels, K.[Konrad], Naidoo, L.[Laven], Asner, G.P.[Gregory P.],
Hyper-Temporal C-Band SAR for Baseline Woody Structural Assessments in Deciduous Savannas,
RS(8), No. 8, 2016, pp. 661.
DOI Link 1609
BibRef

Antropov, O.[Oleg], Rauste, Y.[Yrjö], Häme, T.[Tuomas], Praks, J.[Jaan],
Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Puliti, S.[Stefano], Solberg, S.[Svein], Næsset, E.[Erik], Gobakken, T.[Terje], Zahabu, E.[Eliakimu], Mauya, E.[Ernest], Malimbwi, R.E.[Rogers Ernest],
Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Askne, J.I.H.[Jan I. H.], Persson, H.J.[Henrik J.], Ulander, L.M.H.[Lars M. H.],
Biomass Growth from Multi-Temporal TanDEM-X Interferometric Synthetic Aperture Radar Observations of a Boreal Forest Site,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Santoro, M.[Maurizio], Cartus, O.[Oliver],
Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Ghasemi, N.[Nafiseh], Tolpekin, V.[Valentyn], Stein, A.[Alfred],
Assessment of Forest Above-Ground Biomass Estimation from PolInSAR in the Presence of Temporal Decorrelation,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Berninger, A.[Anna], Lohberger, S.[Sandra], Stängel, M.[Matthias], Siegert, F.[Florian],
SAR-Based Estimation of Above-Ground Biomass and Its Changes in Tropical Forests of Kalimantan Using L- and C-Band,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Schlund, M.[Michael], Davidson, M.W.J.[Malcolm W. J.],
Aboveground Forest Biomass Estimation Combining L- and P-Band SAR Acquisitions,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Martone, M.[Michele], Sica, F.[Francescopaolo], González, C.[Carolina], Bueso-Bello, J.L.[José-Luis], Valdo, P.[Paolo], Rizzoli, P.[Paola],
High-Resolution Forest Mapping from TanDEM-X Interferometric Data Exploiting Nonlocal Filtering,
RS(10), No. 9, 2018, pp. xx-yy. xo
DOI Link 1810
BibRef

Stelmaszczuk-Górska, M.A.[Martyna A.], Urbazaev, M.[Mikhail], Schmullius, C.[Christiane], Thiel, C.[Christian],
Estimation of Above-Ground Biomass over Boreal Forests in Siberia Using Updated In Situ, ALOS-2 PALSAR-2, and RADARSAT-2 Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef


Cartus, O., Santoro, M., Wegmüller, U., Rommen, B.,
Estimating total aboveground, stem and branch biomass using multi-frequency SAR,
MultiTemp17(1-3)
IEEE DOI 1712
remote sensing by radar, synthetic aperture radar, L-band backscatter, Sweden, branch biomass, calibrating models, multi-temporal BibRef

Yang, T., Zhang, H., Li, Y., Ma, Z.[Zaiyang], Huang, R.[Ruirong], Li, S.[Sijia],
The visual simulation technology in formatting forest management plan at unit level based on WF,
ICIVC17(739-745)
IEEE DOI 1708
Biological system modeling, Density measurement, Force measurement, Knowledge management, Volume measurement, WF, forest management plan formation, visual, simulation BibRef

Renaudin, E., Mercer, B., Zhang, Q., Collins, M.J.,
Biomass Estimation Using Vertical Forest Structure From Sar Tomograghy: A Case Study In Canadian Boreal Forest.,
ISPRS12(XXXIX-B8:431-435).
DOI Link 1209
BibRef

Mercer, B.[Bryan], Zhang, Q.P.[Qiao-Ping], Schwaebisch, M.[Marcus], Denbina, M.[Michael],
Estimation of forest biomass from an airborne single-pass L-band POL-InSAR system,
CGC10(120).
PDF File. 1006
BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Biomass Measurements for Individual Trees .


Last update:Nov 17, 2018 at 09:12:27