Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Karin Y. van Ewijk"'
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 201 (2020)
Climate warming has led to an urgent need for improved estimates of carbon accumulation in uneven-aged, mixed temperate forests, where high uncertainty remains. We investigated the feasibility of using LiDAR-derived forest attributes to initialize a
Externí odkaz:
https://doaj.org/article/d5f3ff89ada945bebe2ced8130f52390
Autor:
Tommaso Jucker, Fabian Jörg Fischer, Jérôme Chave, David A. Coomes, John Caspersen, Arshad Ali, Grace Jopaul Loubota Panzou, Ted R. Feldpausch, Daniel Falster, Vladimir A. Usoltsev, Stephen Adu‐Bredu, Luciana F. Alves, Mohammad Aminpour, Ilondea B. Angoboy, Niels P. R. Anten, Cécile Antin, Yousef Askari, Rodrigo Muñoz, Narayanan Ayyappan, Patricia Balvanera, Lindsay Banin, Nicolas Barbier, John J. Battles, Hans Beeckman, Yannick E. Bocko, Ben Bond‐Lamberty, Frans Bongers, Samuel Bowers, Thomas Brade, Michiel van Breugel, Arthur Chantrain, Rajeev Chaudhary, Jingyu Dai, Michele Dalponte, Kangbéni Dimobe, Jean‐Christophe Domec, Jean‐Louis Doucet, Remko A. Duursma, Moisés Enríquez, Karin Y. van Ewijk, William Farfán‐Rios, Adeline Fayolle, Eric Forni, David I. Forrester, Hammad Gilani, John L. Godlee, Sylvie Gourlet‐Fleury, Matthias Haeni, Jefferson S. Hall, Jie‐Kun He, Andreas Hemp, José L. Hernández‐Stefanoni, Steven I. Higgins, Robert J. Holdaway, Kiramat Hussain, Lindsay B. Hutley, Tomoaki Ichie, Yoshiko Iida, Hai‐sheng Jiang, Puspa Raj Joshi, Hasan Kaboli, Maryam Kazempour Larsary, Tanaka Kenzo, Brian D. Kloeppel, Takashi Kohyama, Suwash Kunwar, Shem Kuyah, Jakub Kvasnica, Siliang Lin, Emily R. Lines, Hongyan Liu, Craig Lorimer, Jean‐Joël Loumeto, Yadvinder Malhi, Peter L. Marshall, Eskil Mattsson, Radim Matula, Jorge A. Meave, Sylvanus Mensah, Xiangcheng Mi, Stéphane Momo, Glenn R. Moncrieff, Francisco Mora, Sarath P. Nissanka, Kevin L. O'Hara, Steven Pearce, Raphaël Pelissier, Pablo L. Peri, Pierre Ploton, Lourens Poorter, Mohsen Javanmiri Pour, Hassan Pourbabaei, Juan Manuel Dupuy‐Rada, Sabina C. Ribeiro, Casey Ryan, Anvar Sanaei, Jennifer Sanger, Michael Schlund, Giacomo Sellan, Alexander Shenkin, Bonaventure Sonké, Frank J. Sterck, Martin Svátek, Kentaro Takagi, Anna T. Trugman, Farman Ullah, Matthew A. Vadeboncoeur, Ahmad Valipour, Mark C. Vanderwel, Alejandra G. Vovides, Weiwei Wang, Li‐Qiu Wang, Christian Wirth, Murray Woods, Wenhua Xiang, Fabiano de Aquino Ximenes, Yaozhan Xu, Toshihiro Yamada, Miguel A. Zavala
Publikováno v:
Global Change Biology, 28(17), 5254-5268
Global Change Biology 28: 5254-5268. (September 2022)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
Jucker, T, Fischer, F J, Chave, J, Coomes, D A, Caspersen, J, Ali, A & et, A 2022, ' Tallo: a global tree allometry and crown architecture database ', Global Change Biology, vol. 28, no. 17, pp. 5254-5268 . https://doi.org/10.1111/gcb.16302
Jucker, T, Fischer, F J, Chave, J, Coomes, D A, Caspersen, J, Ali, A, Panzou, G J L, Feldpausch, T R, Falster, D, Usoltsev, V A, Adu-bredu, S, Alves, L F, Aminpour, M, Angoboy, I B, Anten, N P R, Antin, C, Askari, Y, Avilés, R M, Ayyappan, N, Balvanera, P, Banin, L, Barbier, N, Battles, J J, Beeckman, H, Bocko, Y E, Bond-lamberty, B, Bongers, F, Bowers, S, Brade, T, Van Breugel, M, Chantrain, A, Chaudhary, R, Dai, J, Dalponte, M, Dimobe, K, Domec, J, Doucet, J, Duursma, R A, Enríquez, M, Van Ewijk, K Y, Farfán-rios, W, Fayolle, A, Forni, E, Forrester, D I, Gilani, H, Godlee, J L, Gourlet-fleury, S, Haeni, M, Hall, J S, He, J, Hemp, A, Hernández-stefanoni, J L, Higgins, S I, Holdaway, R J, Hussain, K, Hutley, L B, Ichie, T, Iida, Y, Jiang, H, Joshi, P R, Kaboli, H, Larsary, M K, Kenzo, T, Kloeppel, B D, Kohyama, T, Kunwar, S, Kuyah, S, Kvasnica, J, Lin, S, Lines, E R, Liu, H, Lorimer, C, Loumeto, J, Malhi, Y, Marshall, P L, Mattsson, E, Matula, R, Meave, J A, Mensah, S, Mi, X, Momo, S, Moncrieff, G R, Mora, F, Nissanka, S P, O'hara, K L, Pearce, S, Pelissier, R, Peri, P L, Ploton, P, Poorter, L, Pour, M J, Pourbabaei, H, Rada, J M D, Ribeiro, S C, Ryan, C, Sanaei, A, Sanger, J, Schlund, M, Sellan, G, Shenkin, A, Sonké, B, Sterck, F J, Svátek, M, Takagi, K, Trugman, A T, Ullah, F, Vadeboncoeur, M A, Valipour, A, Vanderwel, M C, Vovides, A G, Wang, W, Wang, L, Wirth, C, Woods, M, Xiang, W, De Aquino Ximenes, F, Xu, Y, Yamada, T & Zavala, M A 2022, ' Tallo–a global tree allometry and crown architecture database ', Global Change Biology . https://doi.org/10.1111/gcb.16302
Global Change Biology 28 (2022) 17
Global change biology, 28(17), 5254-5268. Wiley-Blackwell
Global Change Biology
Global Change Biology 28: 5254-5268. (September 2022)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
Jucker, T, Fischer, F J, Chave, J, Coomes, D A, Caspersen, J, Ali, A & et, A 2022, ' Tallo: a global tree allometry and crown architecture database ', Global Change Biology, vol. 28, no. 17, pp. 5254-5268 . https://doi.org/10.1111/gcb.16302
Jucker, T, Fischer, F J, Chave, J, Coomes, D A, Caspersen, J, Ali, A, Panzou, G J L, Feldpausch, T R, Falster, D, Usoltsev, V A, Adu-bredu, S, Alves, L F, Aminpour, M, Angoboy, I B, Anten, N P R, Antin, C, Askari, Y, Avilés, R M, Ayyappan, N, Balvanera, P, Banin, L, Barbier, N, Battles, J J, Beeckman, H, Bocko, Y E, Bond-lamberty, B, Bongers, F, Bowers, S, Brade, T, Van Breugel, M, Chantrain, A, Chaudhary, R, Dai, J, Dalponte, M, Dimobe, K, Domec, J, Doucet, J, Duursma, R A, Enríquez, M, Van Ewijk, K Y, Farfán-rios, W, Fayolle, A, Forni, E, Forrester, D I, Gilani, H, Godlee, J L, Gourlet-fleury, S, Haeni, M, Hall, J S, He, J, Hemp, A, Hernández-stefanoni, J L, Higgins, S I, Holdaway, R J, Hussain, K, Hutley, L B, Ichie, T, Iida, Y, Jiang, H, Joshi, P R, Kaboli, H, Larsary, M K, Kenzo, T, Kloeppel, B D, Kohyama, T, Kunwar, S, Kuyah, S, Kvasnica, J, Lin, S, Lines, E R, Liu, H, Lorimer, C, Loumeto, J, Malhi, Y, Marshall, P L, Mattsson, E, Matula, R, Meave, J A, Mensah, S, Mi, X, Momo, S, Moncrieff, G R, Mora, F, Nissanka, S P, O'hara, K L, Pearce, S, Pelissier, R, Peri, P L, Ploton, P, Poorter, L, Pour, M J, Pourbabaei, H, Rada, J M D, Ribeiro, S C, Ryan, C, Sanaei, A, Sanger, J, Schlund, M, Sellan, G, Shenkin, A, Sonké, B, Sterck, F J, Svátek, M, Takagi, K, Trugman, A T, Ullah, F, Vadeboncoeur, M A, Valipour, A, Vanderwel, M C, Vovides, A G, Wang, W, Wang, L, Wirth, C, Woods, M, Xiang, W, De Aquino Ximenes, F, Xu, Y, Yamada, T & Zavala, M A 2022, ' Tallo–a global tree allometry and crown architecture database ', Global Change Biology . https://doi.org/10.1111/gcb.16302
Global Change Biology 28 (2022) 17
Global change biology, 28(17), 5254-5268. Wiley-Blackwell
Global Change Biology
Funder: Agua Salud Project
Funder: U.S. Department of Energy; Id: http://dx.doi.org/10.13039/100000015
Funder: CAPES; Id: http://dx.doi.org/10.13039/501100002322
Data capturing multiple axes of tree size and shape, such as a tree's ste
Funder: U.S. Department of Energy; Id: http://dx.doi.org/10.13039/100000015
Funder: CAPES; Id: http://dx.doi.org/10.13039/501100002322
Data capturing multiple axes of tree size and shape, such as a tree's ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40d4bf8a561b3b9b5e18c6ba4ca6bb49
https://www.repository.cam.ac.uk/handle/1810/338391
https://www.repository.cam.ac.uk/handle/1810/338391
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 169:152-165
In order to use the airborne LiDAR intensity in conjunction with the height-derived information for forest modeling and classification purposes, radiometric correction is deemed to be a critical pre-processing requirement. In this study, we implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b2c86f6c5a7bfa1398ac78821a1db36
https://doi.org/10.1016/j.isprsjprs.2020.09.001
https://doi.org/10.1016/j.isprsjprs.2020.09.001
Autor:
Karin Y. van Ewijk, Nicholas C. Coops, Paul Treitz, Murray Woods, Douglas G. Pitt, Piotr Tompalski
Publikováno v:
Canadian Journal of Remote Sensing. 46:214-236
The ability to expand the use of predictive Airborne Laser Scanning (ALS)-derived Forest Resource Inventory (FRI) models to broader regional scales is crucial for supporting large scale sustainable...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa34a1ced594686ecc0f387ccc73ba3
https://doi.org/10.1080/07038992.2020.1769470
https://doi.org/10.1080/07038992.2020.1769470
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 201 (2020)
Remote Sensing; Volume 12; Issue 1; Pages: 201
Remote Sensing; Volume 12; Issue 1; Pages: 201
Climate warming has led to an urgent need for improved estimates of carbon accumulation in uneven-aged, mixed temperate forests, where high uncertainty remains. We investigated the feasibility of using LiDAR-derived forest attributes to initialize a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c109a10cb2a8731f52d05bd95268b97
https://www.mdpi.com/2072-4292/12/1/201
https://www.mdpi.com/2072-4292/12/1/201
Autor:
Scott F. Lamoureux, Paul Treitz, Ashley Rudy, Karin Y. van Ewijk, Paul Budkewitsch, Philip P. Bonnaventure
Publikováno v:
Permafrost and Periglacial Processes. 28:79-91
Modelling the susceptibility of permafrost slopes to disturbance can identify areas at risk to future disturbance and result in safer infrastructure and resource development in the Arctic. In this study, we use terrain attributes derived from a digit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173601fa65652e6b45f7f0296aab0c41
https://doi.org/10.1002/ppp.1900
https://doi.org/10.1002/ppp.1900
Autor:
Chris Hopkinson, Paul Treitz, Karin Y. van Ewijk, Tristan R.H. Goodbody, Nicholas C. Coops, Piotr Tompalski
Publikováno v:
Remote Sensing, Vol 12, Iss 2109, p 2109 (2020)
Remote Sensing; Volume 12; Issue 13; Pages: 2109
Remote Sensing; Volume 12; Issue 13; Pages: 2109
Airborne laser scanning (ALS) systems tuned to the near-infrared (NIR; 1064 nm) wavelength have become the best available data source for characterizing vegetation structure. Proliferation of multi-spectral ALS (M-ALS) data with lasers tuned at two a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10adf08573d03a880ff5c69be2afe36
https://doi.org/10.3390/rs12132109
https://doi.org/10.3390/rs12132109
Autor:
Olivier R. van Lier, Michael A. Wulder, Lauren Quist, Paul Treitz, Joan E. Luther, Martin Queinnec, George Graham, Piotr Tompalski, Richard A. Fournier, Murray Woods, Joanne C. White, Nicholas C. Coops, Douglas K. Bolton, Txomin Hermosilla, Karin Y. van Ewijk
Publikováno v:
Remote Sensing of Environment. 239:111645
The value of combining Landsat time series and airborne laser scanning (ALS) data to produce regional maps of forest structure has been well documented. However, studies are often performed over single study areas or forest types, preventing a robust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cc424d7931705756f343e10063d7a3f
https://doi.org/10.1016/j.rse.2020.111645
https://doi.org/10.1016/j.rse.2020.111645
Publikováno v:
Remote Sensing of Environment. 150:120-131
Tree species display different abundance patterns over the landscape due to a number of hierarchical factors, all of which have implications when modeling their distribution. While climate is often the primary driver for global to regional scale tree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ad75aeaacc9503150e40ec11b5853d7
https://doi.org/10.1016/j.rse.2014.04.026
https://doi.org/10.1016/j.rse.2014.04.026
Publikováno v:
Forests, Vol 10, Iss 3, p 226 (2019)
Forests
Volume 10
Issue 3
Forests
Volume 10
Issue 3
Over the last decade, spatially-explicit modeling of landscape-scale forest attributes for forest inventories has greatly benefitted from airborne laser scanning (ALS) and the area-based approach (ABA) to derive wall-to-wall maps of these forest attr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55ba55b292e52b26cf54844b3963f194
https://doi.org/10.3390/f10030226
https://doi.org/10.3390/f10030226