24.4.13.5 Trees, Forest, Stem Volume, Aboveground Biomass Measurements

Chapter Contents (Back)
Stem Volume. Forest. Biomass Measurement. LiDAR:
See also Biomass Measurements, Forest, LiDAR Techniques, Airborne Laser. SAR Methods:
See also Biomass Measurements, Forest, TanDEM-X, SAR, Radar Measurements.
See also Biomass Measurements for Individual Trees.
See also Biomass Evaluations Pasture, Grassland, Rangeland, Savanna.
See also Carbon Sequestration, CO2 Sequestration, Carbon Storage. More for the tops than totally biomass:
See also Trees, Forest Canopy Analysis.
See also Forest Analysis, Terrestrial Laser Scanner, Terrestrial LiDAR, TLS.
See also Rubber Trees, Plantations, Analysis.

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Edge Effects in Amazon Forests: Integrating Remote Sensing and Modelling to Assess Changes in Biomass and Productivity,
RS(16), No. 3, 2024, pp. 501.
DOI Link 2402
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Suwanlee, S.R.[Savittri Ratanopad], Pinasu, D.[Dusadee], Som-Ard, J.[Jaturong], Borgogno-Mondino, E.[Enrico], Sarvia, F.[Filippo],
Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms,
RS(16), No. 5, 2024, pp. 750.
DOI Link 2403
BibRef

Nie, Y.H.[Yong-Hui], Hu, Y.F.[Yi-Fan], Sa, R.[Rula], Fan, W.[Wenyi],
Inversion of Forest above Ground Biomass in Mountainous Region Based on PolSAR Data after Terrain Correction: A Case Study from Saihanba, China,
RS(16), No. 5, 2024, pp. 846.
DOI Link 2403
BibRef


Pan, L.Y.[Li-Yuan], Liu, L.[Liu], Condon, A.G.[Anthony G.], Estavillo, G.M.[Gonzalo M.], Coe, R.A.[Robert A.], Bull, G.[Geoff], Stone, E.A.[Eric A.], Petersson, L.[Lars], Rolland, V.[Vivien],
Biomass Prediction with 3D Point Clouds from LiDAR,
WACV22(1716-1726)
IEEE DOI 2202
Point cloud compression, Weight measurement, Laser radar, Sociology, Medical Imaging/Imaging for Bioinformatics/Biological and Cell Microscopy Low-level and Physics-based Vision BibRef

Eto, S., Masuda, H., Hiraoka, Y., Matsushita, M., Takahashi, M.,
Precise Calculation of Cross Sections and Volume for Tree Stem Using Point Clouds,
ISPRS20(B2:205-210).
DOI Link 2012
BibRef

Zahriban Heasari, M., Fallah, A., Shataee, S., Kalbi, S., Persson, H.,
Estimating The Forest Stand Volume and Basal Area Using Pleiades Spectral and Auxiliary Data,
SMPR19(1131-1136).
DOI Link 1912
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Jiang, S., Yao, W., Heurich, M.,
Dead Wood Detection Based On Semantic Segmentation of VHR Aerial CIR Imagery Using Optimized Fcn-densenet,
PIA19(127-133).
DOI Link 1912
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Torabzadeh, H., Moradi, M., Fatehi, P.,
Estimating Aboveground Biomass in Zagros Forest, Iran, Using Sentinel-2 Data,
SMPR19(1059-1063).
DOI Link 1912
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Tavasoli, N., Arefi, H., Samiei-Esfahany, S., Ronoud, Q.,
Modelling The Amount of Carbon Stock Using Remote Sensing in Urban Forest and Its Relationship With Land Use Change,
SMPR19(1051-1058).
DOI Link 1912
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Alboabidallah, A., Martin, J., Lavender, S., Abbott, V.,
Using Landsat-8 and Sentinel-1 data for Above Ground Biomass assessment in the Tamar valley and Dartmoor,
MultiTemp17(1-7)
IEEE DOI 1712
vegetation mapping, ANOVA analysis, Dartmoor, Landsat-8 Data, Local Heights range analysis, NDVI multi-temporal range, Sentinel-1 BibRef

Li, Y., Zhang, H., Yang, T.D.[Ting-Dong], Ma, Z.Y.[Zai-Yang],
Visual simulation of interactive process of stand growth, structure and thinning,
ICIVC17(746-755)
IEEE DOI 1708
Analytical models, C# languages, Computational modeling, Semantics, Syntactics, Visualization, interactive thinning, removed trees, stand growth, stand structure, visual, simulation BibRef

Mokroš, M., Tabacák, M., Lieskovský, M., Fabrika, M.,
Unmanned Aerial Vehicle Use For Wood Chips Pile Volume Estimation,
ISPRS16(B1: 953-956).
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Akca, D.[Devrim], Stylianidis, E.[Efstratios], Smagas, K.[Konstantinos], Hofer, M.[Martin], Poli, D.[Daniela], Gruen, A.[Armin], Martin, V.S.[Victor Sanchez], Altan, O.[Orhan], Walli, A.[Andreas], Jimeno, E.[Elisa], Garcia, A.[Alejandro],
Volumetric Forest Change Detection Through Vhr Satellite Imagery,
ISPRS16(B8: 1213-1220).
DOI Link 1610
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Safari, A., Sohrabi, H.,
Ability of Landsat-8 OLI Derived Texture Metrics In Estimating Aboveground Carbon Stocks Of Coppice Oak Forests,
ISPRS16(B8: 751-754).
DOI Link 1610
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Kim, K.M.,
Estimation Of Stand Height And Forest Volume Using High Resolution Stereo Photography And Forest Type Map,
ISPRS16(B8: 695-698).
DOI Link 1610
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Patias, P.[Petros], Stournara, P.[Panagiota],
Estimating Wood Volume For Pinus Brutia Trees In Forest Stands From Quickbird-2 Imagery,
ISPRS16(B7: 329-334).
DOI Link 1610
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Xing, Y.Q.[Yan-Qiu], Qiu, S.[Sai], Ding, J.H.[Jian-Hua], Tian, J.[Jing],
Estimation Of Regional Forest Aboveground Biomass Combining Icesat-glas Waveforms And Hj-1a/hsi Hyperspectral Imageries,
ISPRS16(B7: 731-737).
DOI Link 1610
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Karpina, M., Jarzabek-Rychard, M., Tymków, P., Borkowski, A.,
UAV-based Automatic Tree Growth Measurement For Biomass Estimation,
ISPRS16(B8: 685-688).
DOI Link 1610
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de Keersmaecker, W., Lhermitte, S., Tits, L., Honnay, O., Coppin, P., Somers, B.,
Towards the large-scale assessment of vegetation biomass production stability,
MultiTemp15(1-4)
IEEE DOI 1511
Monte Carlo methods BibRef

Berveglieri, A., Oliveira, R.O., Tommaselli, A.M.G.,
A feasibility study on the measurement of tree trunks in forests using multi-scale vertical images,
CloseRange14(87-92).
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Mizoguchi, T., Kobayashi, Y.,
Interactive Trunk Extraction from Forest Point Cloud,
CloseRange14(433-436).
DOI Link 1411
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Steensen, T., Müller, S., Jandewerth, M., Büscher, O.,
Mapping Biomass Availability to Decrease the Dependency on Fossil Fuels,
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Boesch, R.,
Model Based Automatic Segmentation of Tree Stems from Single Scan Data,
SSG13(49-53).
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Müller, S., Büscher, O., Jandewerth, M.,
Estimation of Biomass Potential Based on Classification and Height Information,
Hannover13(263-268).
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Amarsaikhan, D., Saandar, M., Battsengel, V., Amarjargal, S.,
Forest Resources Study In Mongolia Using Advanced Spatial Technologies,
ISPRS12(XXXIX-B7:257-262).
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Sohrabi, H.,
Estimating Mixed Broadleaves Forest Stand Volume Using DSM Extracted From Digital Aerial Images,
ISPRS12(XXXIX-B8:437-440).
DOI Link 1209
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Uramoto, Y., Zhu, L., Tachibana, K., Shimamura, H., Ogaya, N.,
Development Of Photogrammetry System For Grasping Forest Resources Information,
ISPRS12(XXXIX-B8:447-450).
DOI Link 1209
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Sah, B.P., Hämäläinen, J.M., Sah, A.K., Honji, K., Foli, E.G., Awudi, C.,
The Use Of Satellite Imagery To Guide Field Plot Sampling Scheme For Biomass Estimation In Ghanaian Forest,
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DOI Link 1209
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Perry, E.M., Fitzgerald, G.J., Poole, N., Craig, S., Whitlock, A.,
NDVI from Active Optical Sensors As A Measure Of Canopy Cover And Biomass,
ISPRS12(XXXIX-B8:317-319).
DOI Link 1209
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Forsman, M., Börlin, N., Holmgren, J.,
Estimation Of Tree Stem Attributes Using Terrestrial Photogrammetry,
ISPRS12(XXXIX-B5:261-265).
DOI Link 1209
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Kamiya, T., Koizumi, H., Wang, J., Itaya, A.,
Forest Resource Management System By Standing Tree Volume Estimation Using Aerial Stereo Photos,
ISPRS12(XXXIX-B8:413-417).
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Vock, D., Gumhold, S., Spehr, M., Westfield, P., Maas, H.G.,
GPU-based Volumetric Reconstruction Of Trees From Multiple Images,
CloseRange10(xx-yy).
PDF File. 1006

See also Automatic Feature Matching Between Digital Images And 2d Representations Of A 3d Laser Scanner Point Cloud. BibRef

Rosette, J., North, P., Suárez, J.,
A Method of Directly Estimating Stemwood Volume from GLAS Waveform Parameters,
Laser07(344).
PDF File. 0709
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Canopy Height Measurement .


Last update:Mar 16, 2024 at 20:36:19