Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Paul Montesano"'
Autor:
Tuo Feng, Laura Duncanson, Steven Hancock, Paul Montesano, Sergii Skakun, Michael A. Wulder, Joanne C. White, David Minor, Tatiana Loboda
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10108-10125 (2024)
Wildfire is the dominant stand-replacing disturbance regime in Canadian boreal forests. An accurate quantification of postfire changes in forest structure and aboveground biomass density (AGBD) provides a means to understand the magnitudes of ecosyst
Externí odkaz:
https://doaj.org/article/cd4db9e6f344405ba1ab91967d6cc3bf
Autor:
David E. Shean, Shashank Bhushan, Paul Montesano, David R. Rounce, Anthony Arendt, Batuhan Osmanoglu
Publikováno v:
Frontiers in Earth Science, Vol 7 (2020)
High-mountain Asia (HMA) constitutes the largest glacierized region outside of the Earth's polar regions. Although available observations are limited, long-term records indicate sustained HMA glacier mass loss since ~1850, with accelerated loss in re
Externí odkaz:
https://doaj.org/article/467f8def65e14d9cbc0c0b5a6b5b4964
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Autor:
Laura Duncanson, James R. Kellner, John Armston, Ralph Dubayah, David M. Minor, Steven Hancock, Sean P. Healey, Paul L. Patterson, Svetlana Saarela, Suzanne Marselis, Carlos E. Silva, Jamis Bruening, Scott J. Goetz, Hao Tang, Michelle Hofton, Bryan Blair, Scott Luthcke, Lola Fatoyinbo, Katharine Abernethy, Alfonso Alonso, Hans-Erik Andersen, Paul Aplin, Timothy R. Baker, Nicolas Barbier, Jean Francois Bastin, Peter Biber, Pascal Boeckx, Jan Bogaert, Luigi Boschetti, Peter Brehm Boucher, Doreen S. Boyd, David F.R.P. Burslem, Sofia Calvo-Rodriguez, Jérôme Chave, Robin L. Chazdon, David B. Clark, Deborah A. Clark, Warren B. Cohen, David A. Coomes, Piermaria Corona, K.C. Cushman, Mark E.J. Cutler, James W. Dalling, Michele Dalponte, Jonathan Dash, Sergio de-Miguel, Songqiu Deng, Peter Woods Ellis, Barend Erasmus, Patrick A. Fekety, Alfredo Fernandez-Landa, Antonio Ferraz, Rico Fischer, Adrian G. Fisher, Antonio García-Abril, Terje Gobakken, Jorg M. Hacker, Marco Heurich, Ross A. Hill, Chris Hopkinson, Huabing Huang, Stephen P. Hubbell, Andrew T. Hudak, Andreas Huth, Benedikt Imbach, Kathryn J. Jeffery, Masato Katoh, Elizabeth Kearsley, David Kenfack, Natascha Kljun, Nikolai Knapp, Kamil Král, Martin Krůček, Nicolas Labrière, Simon L. Lewis, Marcos Longo, Richard M. Lucas, Russell Main, Jose A. Manzanera, Rodolfo Vásquez Martínez, Renaud Mathieu, Herve Memiaghe, Victoria Meyer, Abel Monteagudo Mendoza, Alessandra Monerris, Paul Montesano, Felix Morsdorf, Erik Næsset, Laven Naidoo, Reuben Nilus, Michael O’Brien, David A. Orwig, Konstantinos Papathanassiou, Geoffrey Parker, Christopher Philipson, Oliver L. Phillips, Jan Pisek, John R. Poulsen, Hans Pretzsch, Christoph Rüdiger, Sassan Saatchi, Arturo Sanchez-Azofeifa, Nuria Sanchez-Lopez, Robert Scholes, Carlos A. Silva, Marc Simard, Andrew Skidmore, Krzysztof Stereńczak, Mihai Tanase, Chiara Torresan, Ruben Valbuena, Hans Verbeeck, Tomas Vrska, Konrad Wessels, Joanne C. White, Lee J.T. White, Eliakimu Zahabu, Carlo Zgraggen
Publikováno v:
Duncanson, L, Kellner, J R, Armston, J, Dubayah, R, Minor, D M, Hancock, S, Healey, S P, Patterson, P L, Saarela, S, Marselis, S, Silva, C E, Bruening, J, Goetz, S J, Tang, H, Hofton, M, Blair, B, Luthcke, S, Fatoyinbo, L, Abernethy, K, Alonso, A, Andersen, H, Aplin, P, Baker, T R, Barbier, N, Bastin, J F, Biber, P, Boeckx, P, Bogaert, J, Boschetti, L, Boucher, P B, Boyd, D S, Burslem, D F R P, Calvo-rodriguez, S, Chave, J, Chazdon, R L, Clark, D B, Clark, D A, Cohen, W B, Coomes, D A, Corona, P, Cushman, K C, Cutler, M E J, Dalling, J W, Dalponte, M, Dash, J, De-miguel, S, Deng, S, Ellis, P W, Erasmus, B, Fekety, P A, Fernandez-landa, A, Ferraz, A, Fischer, R, Fisher, A G, García-abril, A, Gobakken, T, Hacker, J M, Heurich, M, Hill, R A, Hopkinson, C, Huang, H, Hubbell, S P, Hudak, A T, Huth, A, Imbach, B, Jeffery, K J, Katoh, M, Kearsley, E, Kenfack, D, Kljun, N, Knapp, N, Král, K, Krůček, M, Labrière, N, Lewis, S L, Longo, M, Lucas, R M, Main, R, Manzanera, J A, Martínez, R V, Mathieu, R, Memiaghe, H, Meyer, V, Mendoza, A M, Monerris, A, Montesano, P, Morsdorf, F, Næsset, E, Naidoo, L, Nilus, R, O’brien, M, Orwig, D A, Papathanassiou, K, Parker, G, Philipson, C, Phillips, O L, Pisek, J, Poulsen, J R, Pretzsch, H, Rüdiger, C, Saatchi, S, Sanchez-azofeifa, A, Sanchez-lopez, N, Scholes, R, Silva, C A, Simard, M, Skidmore, A, Stereńczak, K, Tanase, M, Torresan, C, Valbuena, R, Verbeeck, H, Vrska, T, Wessels, K, White, J C, White, L J T, Zahabu, E & Zgraggen, C 2022, ' Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission ', Remote Sensing of Environment, vol. 270, 112845 . https://doi.org/10.1016/j.rse.2021.112845
Remote Sensing of Environment, 270
Remote sensing of environment, 270:112845, 1-20. Elsevier
Remote Sensing of Environment
Remote Sensing of Environment, 2022, 270, pp.112845. ⟨10.1016/j.rse.2021.112845⟩
Remote sensing of environment 270 (2022): Article number 112845. doi:10.1016/j.rse.2021.112845
info:cnr-pdr/source/autori:Duncanson L., Kellner J.R., Armston J., Dubayah R., Minor D.M., Hancock S., Healey S.P., Patterson P.L., Saarela S., Marselis S., Silva E.C., Bruening J., Goetz J.S., Tang H., Hofton M., Blair B., Luthcke S., Fatoyinbo L., Abernethy K., Alonso A., Andersen H.E., Aplin P., Baker R.T., Barbier N., Bastin J.F., Biber P., Boeckx P., Bogaert J., Boschetti L., Brehm Boucher P., Boyd S.D., Burslem F.R.P.D., Calvo-Rodriguez S., Chave J., Chazdon L.R., Clark B.D., Clark A.D., Cohen B.W., Coomes A.D., Corona P., Cushman K.C., Cutler E.J.M., Dalling W.J., Dalponte M., Dash J., de-Miguel S., Deng S., Woods Ellis P., Erasmus B., Fekety A.P., Fernandez-Landa A., Ferraz A., Fischer R., Fisher G.A., García-Abril A., Gobakken T., Hacker M.J., Heurich M., Hill A.R., Hopkinson C., Huang H., Hubbell P.S., Hudak T.A., Huth A., Imbach B., Jeffery J.K., Katoh M., Kearsley E., Kenfack D., Kljun N., Knapp N., Král K., Kr??ek M., Labrière N., Lewis L.S., Longo M., Lucas M.R., Main R., Manzanera A.J., Martínez V.R., Mathieu R., Memiaghe H., Meyer V., Monteagudo Mendoza A., Monerris A., Montesano P., Morsdorf F., Næsset E., Naidoo L., Nilus R., O'Brien M., Orwig A.D., Papathanassiou K., Parker G., Philipson C., Phillips L.O., Pisek J., Poulsen R.J., Pretzsch h., Rüdiger C., Saatchi S., Sanchez-Azofeifa A., Sanchez-Lopez N., Scholes R., Silva A.C., Simard M., Skidmore A., Stere?czak K., Tanase M., Torresan C., Valbuena R., Verbeeck H., Vrska T., Wessels K., White C.J., White J.T.L., Zahabu E., Zgraggen C./titolo:Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission/doi:10.1016%2Fj.rse.2021.112845/rivista:Remote sensing of environment/anno:2022/pagina_da:Article number 112845/pagina_a:/intervallo_pagine:Article number 112845/volume:270
REMOTE SENSING OF ENVIRONMENT
Remote Sensing of Environment, 270
Remote sensing of environment, 270:112845, 1-20. Elsevier
Remote Sensing of Environment
Remote Sensing of Environment, 2022, 270, pp.112845. ⟨10.1016/j.rse.2021.112845⟩
Remote sensing of environment 270 (2022): Article number 112845. doi:10.1016/j.rse.2021.112845
info:cnr-pdr/source/autori:Duncanson L., Kellner J.R., Armston J., Dubayah R., Minor D.M., Hancock S., Healey S.P., Patterson P.L., Saarela S., Marselis S., Silva E.C., Bruening J., Goetz J.S., Tang H., Hofton M., Blair B., Luthcke S., Fatoyinbo L., Abernethy K., Alonso A., Andersen H.E., Aplin P., Baker R.T., Barbier N., Bastin J.F., Biber P., Boeckx P., Bogaert J., Boschetti L., Brehm Boucher P., Boyd S.D., Burslem F.R.P.D., Calvo-Rodriguez S., Chave J., Chazdon L.R., Clark B.D., Clark A.D., Cohen B.W., Coomes A.D., Corona P., Cushman K.C., Cutler E.J.M., Dalling W.J., Dalponte M., Dash J., de-Miguel S., Deng S., Woods Ellis P., Erasmus B., Fekety A.P., Fernandez-Landa A., Ferraz A., Fischer R., Fisher G.A., García-Abril A., Gobakken T., Hacker M.J., Heurich M., Hill A.R., Hopkinson C., Huang H., Hubbell P.S., Hudak T.A., Huth A., Imbach B., Jeffery J.K., Katoh M., Kearsley E., Kenfack D., Kljun N., Knapp N., Král K., Kr??ek M., Labrière N., Lewis L.S., Longo M., Lucas M.R., Main R., Manzanera A.J., Martínez V.R., Mathieu R., Memiaghe H., Meyer V., Monteagudo Mendoza A., Monerris A., Montesano P., Morsdorf F., Næsset E., Naidoo L., Nilus R., O'Brien M., Orwig A.D., Papathanassiou K., Parker G., Philipson C., Phillips L.O., Pisek J., Poulsen R.J., Pretzsch h., Rüdiger C., Saatchi S., Sanchez-Azofeifa A., Sanchez-Lopez N., Scholes R., Silva A.C., Simard M., Skidmore A., Stere?czak K., Tanase M., Torresan C., Valbuena R., Verbeeck H., Vrska T., Wessels K., White C.J., White J.T.L., Zahabu E., Zgraggen C./titolo:Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission/doi:10.1016%2Fj.rse.2021.112845/rivista:Remote sensing of environment/anno:2022/pagina_da:Article number 112845/pagina_a:/intervallo_pagine:Article number 112845/volume:270
REMOTE SENSING OF ENVIRONMENT
© 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d0576946c561982b642f75920f5935
https://hdl.handle.net/20.500.11820/4b495d2e-14a1-4868-ba36-a08c796d0c0c
https://hdl.handle.net/20.500.11820/4b495d2e-14a1-4868-ba36-a08c796d0c0c
Autor:
Laura Duncanson, Steven Hancock, Amy L. Neuenschwander, D. Minor, Paul Montesano, Joanne White, John Armston, Michael A. Wulder, Carlos A. Silva, Eric Guenther, Nathan Thomas
Publikováno v:
IGARSS
Forest aboveground biomass is a key environmental variable needed for constraining models of the global carbon cycle, monitoring stocks and fluxes of carbon in forests, and optimizing forest management toward climate mitigation. To date, limited sate
Publikováno v:
Remote Sensing of Environment. 225:148-159
Surface elevation estimates from high resolution spaceborne image (HRSI) stereogrammetry are used to examine fine-scaled structure of boreal forest canopies. These data can depict detailed spatial patterns of vertical forest structure at remote sites
Autor:
Selena Chavez, Bruce D. Cook, Christopher S.R. Neigh, Lawrence A. Corp, Temilola Fatoyinbo, Paul Montesano, Lesley Ott, Douglas C. Morton, David Lagomasino, Edward Castañeda-Moya
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Mangroves buffer inland ecosystems from hurricane winds and storm surge. However, their ability to withstand harsh cyclone conditions depends on plant resilience traits and geomorphology. Using airborne lidar and satellite imagery collected before an
Autor:
W. Wagner, Paul Montesano, Benjamin Poulter, Joseph O. Sexton, Leonardo Calle, Nuno Carvalhais, Akiko Elders, Panshi Wang, Christopher S.R. Neigh, Margaret Wooten, Saurabh Channan, Min Feng
The boreal forest is one of Earth’s most climatologically sensitive regions, and changes in the cover and structure of its vegetation pose a positive carbon-climate feedback on atmospheric greenhouse warming. The region has also experienced more th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f750ff0ccdcc7ff3c4374375d4266a87
https://doi.org/10.21203/rs.3.rs-327560/v1
https://doi.org/10.21203/rs.3.rs-327560/v1
Examination of Current and Future Permafrost Dynamics Across the North American Taiga-Tundra Ecotone
Autor:
Bradley Gay, Amanda Armstrong, Paul Montesano, Batuhan Osmanoglu, Kenneth Ranson, Howard Epstein
In the Arctic, the spatial distribution of boreal forest cover and soil profile transition characterizing the taiga-tundra ecological transition zone (TTE) is experiencing an alarming transformation. The SIBBORK-TTE model provides a unique opportunit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8ca6ca4b4c5a2f1ceac5259b918358c
https://doi.org/10.1002/essoar.10505667.2
https://doi.org/10.1002/essoar.10505667.2