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

Chapter Contents (Back)
Biomass Measurement. SAR. P-Band
See also Fuel Load for Forest Fire Prediction.

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.

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.

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.

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.
Array design BibRef

Hamadi, A., Albinet, C., Borderies, P., Koleck, T.[Thierry], Villard, L.[Ludovic], 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.
Antennas BibRef

Gelas, C.[Colette], Villard, L.[Ludovic], Ferro-Famil, L.[Laurent], Polidori, L.[Laurent], Koleck, T.[Thierry], Daniel, S.[Sandrine],
Multi-Temporal Speckle Filtering of Polarimetric P-Band SAR Data over Dense Tropical Forests: Study Case in French Guiana for the BIOMASS Mission,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Lee, J.S., Grunes, M.R., Schuler, D.L., Pottier, E., Ferro-Famil, L.,
Scattering-Model-Based Speckle Filtering of Polarimetric SAR Data,
GeoRS(44), No. 1, January 2006, pp. 176-187.

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.

Banda, F.[Francesco], Giudici, D.[Davide], Toan, T.L.[Thuy Le], d'Alessandro, M.M.[Mauro Mariotti], Papathanassiou, K.[Kostas], Quegan, S.[Shaun], Riembauer, G.[Guido], Scipal, K.[Klaus], Soja, M.J.[Maciej J,], Tebaldini, S.[Stefano], Ulander, L.M.H.[Lars M. H.], Villard, L.[Ludovic],
The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003

d'Alessandro, M.M.[Mauro Mariotti], Tebaldini, S.[Stefano], Quegan, S.[Shaun], Soja, M.J.[Maciej J.], Ulander, L.M.H.[Lars M. H.], Scipal, K.[Klaus],
Interferometric Ground Cancellation for Above Ground Biomass Estimation,
GeoRS(58), No. 9, September 2020, pp. 6410-6419.
Forestry, Synthetic aperture radar, Azimuth, Biomass, Carbon, Vegetation mapping, Radar imaging, Above-ground biomass (AGB), tropical 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

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.

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

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

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

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.
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.
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

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

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.
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.
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

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

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.
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.
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

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.
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.
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.
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

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.
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.
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

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.
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

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.
And: Corrections: GeoRS(53), No. 10, October 2015, pp. 5795-5795.
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

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

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

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

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.
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

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

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

Yu, Y.F.[Yi-Fan], 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

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

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.
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

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

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

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

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

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

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

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

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

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

Pardini, M., Papathanassiou, K.P., Lombardini, F.,
Impact of Dielectric Changes on L-Band 3-D SAR Reflectivity Profiles of Forest Volumes,
GeoRS(56), No. 12, December 2018, pp. 7324-7337.
Forestry, Dielectrics, Vegetation, Synthetic aperture radar, L-band, Radar tracking, Dielectric changes, forest structure, SAR tomography (TomoSAR) BibRef

Karila, K.[Kirsi], Yu, X.W.[Xiao-Wei], Vastaranta, M.[Mikko], Karjalainen, M.[Mika], Puttonen, E.[Eetu], Hyyppä, J.[Juha],
TanDEM-X digital surface models in boreal forest above-ground biomass change detection,
PandRS(148), 2019, pp. 174-183.
Elsevier DOI 1901
Tandem-X, SAR interferometry, Above-ground biomass (AGB), Forest, Airborne laser scanning (ALS), LIDAR, Change detection BibRef

Godinho Cassol, H.L.[Henrique Luis], de Brito Carreiras, J.M.[João Manuel], Moraes, E.C.[Elisabete Caria], Oliveira e Cruz de Aragão, L.E.[Luiz Eduardo], de Jesus Silva, C.V.[Camila Valéria], Quegan, S.[Shaun], Shimabukuro, Y.E.[Yosio Edemir],
Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901

Vafaei, S.[Sasan], Soosani, J.[Javad], Adeli, K.[Kamran], Fadaei, H.[Hadi], Naghavi, H.[Hamed], Pham, T.D.[Tien Dat], Bui, D.T.[Dieu Tien],
Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran),
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804

Chen, L.[Lin], Wang, Y.Q.[Ye-Qiao], Ren, C.Y.[Chun-Ying], Zhang, B.[Bai], Wang, Z.M.[Zong-Ming],
Optimal Combination of Predictors and Algorithms for Forest Above-Ground Biomass Mapping from Sentinel and SRTM Data,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903

El Moussawi, I.[Ibrahim], Minh, D.H.T.[Dinh Ho Tong], Baghdadi, N.[Nicolas], Abdallah, C.[Chadi], Jomaah, J.[Jalal], Strauss, O.[Olivier], Lavalle, M.[Marco],
L-Band UAVSAR Tomographic Imaging in Dense Forests: Gabon Forests,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903

Liu, Y.[Yanan], Gong, W.S.[Wei-Shu], Xing, Y.Q.[Yan-Qiu], Hu, X.Y.[Xiang-Yun], Gong, J.Y.[Jian-Ya],
Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery,
PandRS(151), 2019, pp. 277-289.
Elsevier DOI 1904
Forest aboveground biomass, Forest stand mean height, Sentinel-1B, Sentinel-2A, DEM, Random forest BibRef

Bao, N.[Nisha], Li, W.W.[Wen-Wen], Gu, X.W.[Xiao-Wei], Liu, Y.H.[Yan-Hui],
Biomass Estimation for Semiarid Vegetation and Mine Rehabilitation Using Worldview-3 and Sentinel-1 SAR Imagery,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912

Huang, X.D.[Xiao-Dong], Ziniti, B.[Beth], Torbick, N.[Nathan], Ducey, M.J.[Mark J.],
Assessment of Forest above Ground Biomass Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Wang, L.[Long], Quan, X.W.[Xing-Wen], He, B.B.[Bin-Bin], Yebra, M.[Marta], Xing, M.F.[Min-Feng], Liu, X.Z.[Xiang-Zhuo],
Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
And: Correction: RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Santoro, M.[Maurizio], Cartus, O.[Oliver], Fransson, J.E.S.[Johan E. S.], Wegmüller, U.[Urs],
Complementarity of X-, C-, and L-band SAR Backscatter Observations to Retrieve Forest Stem Volume in Boreal Forest,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907

Cartus, O.[Oliver], Santoro, M.[Maurizio], Wegmüller, U.[Urs], Rommen, B.[Björn],
Benchmarking the Retrieval of Biomass in Boreal Forests Using P-Band SAR Backscatter with Multi-Temporal C- and L-Band Observations,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

Long, J.P.[Jiang-Ping], Lin, H.[Hui], Wang, G.X.[Guang-Xing], Sun, H.[Hua], Yan, E.P.[En-Ping],
Mapping Growing Stem Volume of Chinese Fir Plantation Using a Saturation-based Multivariate Method and Quad-polarimetric SAR Images,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909

Berninger, A.[Anna], Lohberger, S.[Sandra], Zhang, D.[Devin], Siegert, F.[Florian],
Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909

Kumar, S.[Shashi], Garg, R.D.[Rahul D.], Govil, H.[Himanshu], Kushwaha, S.P.S.[Satya P. S.],
PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910

Giannakis, I., Tosti, F., Lantini, L., Alani, A.M.,
Health Monitoring of Tree Trunks Using Ground Penetrating Radar,
GeoRS(57), No. 10, October 2019, pp. 8317-8326.
antenna arrays, antenna radiation patterns, ground penetrating radar, mobile antennas, radar antennas, trunk BibRef

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Machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data,
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Pham, T.D.[Tien Dat], Le, N.N.[Nga Nhu], Ha, N.T.[Nam Thang], Nguyen, L.V.[Luong Viet], Xia, J.[Junshi], Yokoya, N.[Naoto], To, T.T.[Tu Trong], Trinh, H.X.[Hong Xuan], Kieu, L.Q.[Lap Quoc], Takeuchi, W.[Wataru],
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Wan, X.X.[Xiang-Xing], Li, Z.Y.[Zeng-Yuan], Chen, E.[Erxue], Zhao, L.[Lei], Zhang, W.F.[Wang-Fei], Xu, K.P.[Kun-Peng],
Forest Aboveground Biomass Estimation Using Multi-Features Extracted by Fitting Vertical Backscattered Power Profile of Tomographic SAR,
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Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy,
RS(13), No. 4, 2021, pp. xx-yy.
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Bruggisser, M.[Moritz], Dorigo, W.[Wouter], Dostálová, A.[Alena], Hollaus, M.[Markus], Navacchi, C.[Claudio], Schlaffer, S.[Stefan], Pfeifer, N.[Norbert],
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Evaluating P-Band TomoSAR for Biomass Retrieval in Boreal Forest,
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Large Area Aboveground Biomass and Carbon Stock Mapping in Woodlands in Mozambique with L-Band Radar: Improving Accuracy by Accounting for Soil Moisture Effects Using the Water Cloud Model,
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Zhang, W.F.[Wang-Fei], Zhao, L.X.[Li-Xian], Li, Y.[Yun], Shi, J.M.[Jian-Min], Yan, M.[Min], Ji, Y.J.[Yong-Jie],
Forest Above-Ground Biomass Inversion Using Optical and SAR Images Based on a Multi-Step Feature Optimized Inversion Model,
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Wai, P.[Phyo], Su, H.[Huiyi], Li, M.[Mingshi],
Estimating Aboveground Biomass of Two Different Forest Types in Myanmar from Sentinel-2 Data with Machine Learning and Geostatistical Algorithms,
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Li, X.Y.[Xin-Yu], Ye, Z.[Zilin], Long, J.P.[Jiang-Ping], Zheng, H.[Huanna], Lin, H.[Hui],
Inversion of Coniferous Forest Stock Volume Based on Backscatter and InSAR Coherence Factors of Sentinel-1 Hyper-Temporal Images and Spectral Variables of Landsat 8 OLI,
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Amuyou, U.A.[Ushuki A.], Wang, Y.[Yi], Ebuta, B.F.[Bisong Francis], Iheaturu, C.J.[Chima J.], Antonarakis, A.S.[Alexander S.],
Quantification of Above-Ground Biomass over the Cross-River State, Nigeria, Using Sentinel-2 Data,
RS(14), No. 22, 2022, pp. xx-yy.
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Yu, T.[Teng], Li, M.Y.[Mu-Yang], Li, W.D.[Wei-Dong], Zhang, T.R.[Tian-Ran], Wang, R.[Rui], Hu, C.[Cheng],
A Migratory Biomass Statistical Method Based on High-Resolution Fully Polarimetric Entomological Radar,
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Zhang, T.C.[Ting-Chen], Lin, H.[Hui], Long, J.P.[Jiang-Ping], Zheng, H.[Huanna], Ye, Z.[Zilin], Liu, Z.H.[Zhao-Hua],
Evaluating the Sensitivity of Polarimetric Features Related to Rotation Domain and Mapping Chinese Fir AGB Using Quad-Polarimetric SAR Images,
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Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest,
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Persson, H.J.[Henrik J.], Huuva, I.[Ivan],
Polarimetric Measures in Biomass Change Prediction Using ALOS-2 PALSAR-2 Data,
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Agrawal, N., Kumar, S., Tolpekin, V.A.,
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Mapping the Spatial Distribution of Colombia's Forest Aboveground Biomass Using SAR and Optical Data,
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Cartus, O., Santoro, M., Wegmüller, U., Rommen, B.,
Estimating total aboveground, stem and branch biomass using multi-frequency SAR,
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Biomass Estimation Using Vertical Forest Structure From Sar Tomograghy: A Case Study In Canadian Boreal Forest.,
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Estimation of forest biomass from an airborne single-pass L-band POL-InSAR system,
PDF File. 1006

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

Last update:Apr 10, 2024 at 09:54:40