Results 21 to 30 of about 2,238,427 (150)

Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield

Remote Sensing, 2016
Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the ...
Youven Goulamoussène, Caroline Bedeau, Laurent Descroix, Vincent Deblauwe, Laurent Linguet, Bruno Hérault   +5 more
doaj   +1 more source

Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data

Forest Ecosystems, 2020
Background Forest canopy height is a key forest structure parameter. Precisely estimating forest canopy height is vital to improve forest management and ecological modelling.
Cheng Wang, Shezhou Luo, Xiaohuan Xi, Sheng Nie, Dan Ma, Youju Huang   +5 more
doaj   +1 more source

Height-diameter allometry of tropical forest trees [PDF]

, 2010
Tropical tree height-diameter (H:D) relationships may vary by forest type and region making large-scale estimates of above-ground biomass subject to bias if they ignore these differences in stem allometry.
Banin, Lindsay, L. White, F. Schrodt, Feldpausch, T.R., Iida, Y, Affum-Baffoe, K., K. S.-H. Peh, Wöll, H., B. H. Marimon-Junior, Fyllas, N M, King, D.A., O. L. Phillips, De Camargo, P, Lopez-Gonzalez, G, B. S. Marimon, Taedoumg, H E, de Camargo, P., Metcalfe, D.J., Reitsma, J. M., Marimon-Junior, B H, Baker, Timothy R, S. Tan, Kassim, A R, Feldpausch, T. R., Salim, K A, Marshall, A. R., Peh, Kelvin S.-H., Drescher, M, Brondizio, E.S., Nilus, R., Taedoumg, H.E., E. F. Moran, Lopez-Gonzalez, G., D. J. Metcalfe, Phillips, O L, Keller, M, Nogueira, E. M., Keller, M., M. Palace, Nogueira, E.M., Higuchi, N., Quesada, Carlos A, Phillips, O.L., Baker, T R, Djagbletey, G., Franca, M. B., Phillips, Oliver L, Raventos, M. T., Berry, Nicholas J, Quesada, CA, White, L, Y. Iida, E. M. Nogueira, Domingues, T.F., K. A. Salim, Taedoumg, H. E., Quesada, C A, Hunter, M.O., Marshall, Andrew R, Camargo, P., de, Lenza, E., Hunter, M. O., E. T. A. Mitchard, Lovett, J C, G. Lopez-Gonzalez, E. S. Brondizio, Berry, N J, Arets, E.J.M.M., Baker, T.R., Lewis, S L, Tan, S., Hunter, M O, K. Abu Silam, Marshall, A.R., A. Hladik, Marimon-Junior, B.H., Woell, H., Brondizio, E. S., King, D A, P. M. Fearnside, Moran, E.F., Arets, E J M M, Phillips, OL, Abu Salim, K., S. Patiño, K. Affum-Baffoe, Higuchi, N, Marimon, B S, Affum-Baffoe, Kofi, Peh, K.S-H., N. M. Fyllas, Fyllas, N. M., Lovett, J. C., Lewis, SL, S. L. Lewis, Fyllas, N.M., Phillips, O. L., Lloyd, J, White, Lee, Lovett, Jonathan Cranidge, Schrodt, F, Djagbletey, Gloria, Salim, K.A., M. Drescher, Berry, N.J., Bird, M., P. de Camargo, Peh, K S H, Arets, Eric J M M, King, D. A., França, M.B., J. Chave, Fearnside, P M, Tan, S, Chave, J, Salim, K. A., Metcalfe, D. J., Peh, K.S.H., J. Kemp, Saiz, G., Baker, TR, D. A. King, Mitchard, E. T. A., Saiz, G, Marimon, B.S., Peh, K. S. -H., Nelson, B.W., Brondizio, E S, Kassim, A.R., B. Sonké, Iida, Y., H. Wöll, Sonke, B., Banin, L., Bird, M, Hladik, A, Raventos, M.T., Djagbletey, G, N. J. Berry, T. R. Baker, Lewis, Simon L, G. Djagbletey, A. R. Kassim, Franc, M.B., França, M B, Hladik, A., Moran, E F, Metcalfe, D J, Raventos, M T, Feldpausch, T R, N. Higuchi, Nilus, R, Fearnside, P.M., Nelson, B. W., Berry, NJ, C. A. Quesada, J. Lloyd, Chave, Jerome, Domingues, T. F., Feldpausch, TR, Banin, L, Bird, Michael, Feldpausch, Ted R, Lloyd, J., Marimon, B. S., A. R. Marshall, E. Lenza, Lewis, S.L., Quesada, C.A., Quesada, C. A., Kemp, J, Brondizio, Eduardo S, Nelson, B W, G. Saiz, White, L., T. R. Feldpausch, T. F. Domingues, J. M. Reitsma, Reitsma, J M, Drescher, M., Palace, M., Schrodt, F., Lenza, E, L. Banin, M. B. França, M. Keller, Fearnside, P. M., Kemp, J., M. Bird, Domingues, T F, Baker, T. R., Arets, E. J. M. M., E. J. M. M. Arets, J. C. Lovett, Philips, O.L., Affum-Baffoe, K, Berry, N. J., Palace, M, Mitchard, E.T.A., M. O. Hunter, Reitsma, J.M., Kassim, A. R., Marimon-Junior, B. H., Patiño, S., H. E. Taedoumg, Chave, J., R. Nilus, Arets, EJMM, Lovett, J.C., Lewis, S. L., Moran, E. F., Mitchard, E T A, M. T. Raventos, Nogueira, E M, de Camargo, Plinio, B. W. Nelson, Hunter, MO, Hladik, Annette, Patiño, Sandra, Tan, Sylvester Kheng San, de Camargo, Plínio Barbosa, Drescher, Michael, Higuchi, Niro, Berry, Nicholas J., Reitsma, JM, Marimon Júnior, Ben Hur, Camargo, Plínio Barbosa de, null, Tomas, Morán, Emilio Federico, Palace, Michael W., França, Mabiane Batista, King, David A., Marimon-Junior, BH, Marimon, BS, Arets, Eric J.M.M., Mitchard, Edward T.A., Lenza, Eddie, Banin, Lindsay F., Nelson, Bruce Walker, Lloyd, Jon, Brondizio, Eduardo, Baker, Timothy R., Djagbletey, Gloria Djaney, Nogueira, EM, Fyllas, Nikolaos M., Phillips, Oliver L., Taedoumg, Hermann E., Lovett, JC, Metcalfe, Daniel J., Marimon, Beatriz Schwantes, Salim, KA, Patiño, S, Moran, EF, Saiz, Gustavo, Iida, Yoshiko, Nogueira, Euler Melo, Peh, KS-H, Lewis, Simon L., Nelson, BW, Taedoumg, HE, Quesada, Carlos Alberto, Brondízio, Eduardo Sonnewend, Lovett, Jon C., Bird, Michael I., Wöll, Hannsjörg, Nilus, Reuben, White, Lee J.T., Baker, Tim, Salim, Kamariah Abu, Schrodt, Franziska, Kemp, Jeanette E., Wöll, H, Keller, Michael, Sonké, B, Feldpausch, Ted R., Kassim, Abd Rahman, Reitsma, Jan M., Mitchard, ETA, Metcalfe, Daniel, Arets, Eric, Marshall, AR, Raventos, MT, França, MB, Hunter, Maria O., Kassim, AR, Peh, Kelvin S.H., Sonké, Bonaventure, Marshall, Andrew Robert, Fearnside, Philip Martin, Fearnside, PM, King, DA, Lopez-Gonzalez, Gabriela   +291 more
core   +2 more sources

Forest structure dependency analysis of L-band SAR backscatter [PDF]

PeerJ, 2020
Forest structure plays an important role in forest biomass inversion using synthetic aperture radar (SAR) backscatter. Synthetic aperture radar (SAR) sensors with long-wavelength have the potentiality to provide reliable and timely forest biomass ...
Yongjie Ji, Jimao Huang, Yilin Ju, Shipeng Guo, Cairong Yue   +4 more
doaj   +2 more sources

Canopy Density and Roughness Differentiate Resistance of a Tropical Dry Forest to Major Hurricane Damage

Remote Sensing, 2021
Tropical dry forest is vulnerable to increased climate variability with more frequent and severe storms. Studies of hurricane impact on tropical dry forest often focused on individual tree traits. How trees in tropical dry forests work together to combat
Qiong Gao, Mei Yu
doaj   +1 more source

Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances

Remote Sensing, 2019
Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux and climate-change research at regional and global scales.
Lei Cui, Ziti Jiao, Yadong Dong, Mei Sun, Xiaoning Zhang, Siyang Yin, Anxin Ding, Yaxuan Chang, Jing Guo, Rui Xie   +9 more
doaj   +1 more source

Vegetation height products between 60° S and 60° N from ICESat GLAS data. [PDF]

, 2012
We present new coarse resolution (0.5 ×0.5 )vegetation height and vegetation-cover fraction data sets between 60 S and 60 N for use in climate models and ecological models.
S. O. Los, L. Chasmer, R. A. Hill, Jacqueline Rosette, Hopkinson, C., N. Kljun, P. R. J. North, North , P.R.J, Suarez, J., Mahoney, C., Chasmer, L., E. van Gorsel, Peter North, Berni, J.A., Kljun, N., J. C. Suárez, Sietse Los, van Gorsel, E., C. Hopkinson, Hill, R.A., C. Mahoney, Natascha Kljun, J. A. J. Berni, Los, S.O, Rosette, J., J. A. B. Rosette   +25 more
core   +2 more sources

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi- Temporal LiDAR Datasets [PDF]

, 2013
Tropical peat swamp forests in Indonesia store huge amounts of carbon and are responsible for enormous carbon emissions every year due to forest degradation and deforestation.
Juilson Jubanski, Jubanski, Juilson, Florian Siegert, Siegert, Florian, Englhart, Sandra, Sandra Englhart   +5 more
core   +1 more source

Change detection of mountain birch using multi-temporal ALS point clouds [PDF]

, 2013
The use of multi-temporal laser scanner data is potentially an efficient method for monitoring of vegetation changes, for example, at the alpine treeline.
Nyström, Mattias, Holmgren, Johan, Olsson, Håkan, Sveriges lantbruksuniversitet., Olsson, Håkan,, Holmgren, Johan,, Nyström, Mattias,   +6 more
core   +1 more source

Estimation of canopy structure and individual trees from laser scanning data [PDF]

, 2012
During the last fifteen years, laser scanning has emerged as a data source for forest inventory. Airborne laser scanning (ALS) provides 3D data, which may be used in an automated analysis chain to estimate vegetation properties for large areas ...
Lindberg, Eva
core   +1 more source