Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Fabian Gieseke"'
Autor:
Florian Reiner, Martin Brandt, Xiaoye Tong, David Skole, Ankit Kariryaa, Philippe Ciais, Andrew Davies, Pierre Hiernaux, Jérôme Chave, Maurice Mugabowindekwe, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Sizhuo Li, Siyu Liu, Sassan Saatchi, Peter Boucher, Jenia Singh, Simon Taugourdeau, Morgane Dendoncker, Xiao-Peng Song, Ole Mertz, Compton J. Tucker, Rasmus Fensholt
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract The consistent monitoring of trees both inside and outside of forests is key to sustainable land management. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a
Externí odkaz:
https://doaj.org/article/64d7b18c304c40d2a1f8d40528c16522
Autor:
Robert N. Masolele, Veronique De Sy, Diego Marcos, Jan Verbesselt, Fabian Gieseke, Kalkidan Ayele Mulatu, Yitebitu Moges, Heiru Sebrala, Christopher Martius, Martin Herold
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1446-1472 (2022)
National-scale assessments of post-deforestation land-use are crucial for decreasing deforestation and forest degradation-related emissions. In this research, we assess the potential of different satellite data modalities (single-date, multi-date, mu
Externí odkaz:
https://doaj.org/article/6cb1292b53a14e15820b61b833fbaceb
Autor:
Eliakim Hamunyela, Sabina Rosca, Andrei Mirt, Eric Engle, Martin Herold, Fabian Gieseke, Jan Verbesselt
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2953 (2020)
Monitoring of abnormal changes on the earth’s surface (e.g., forest disturbance) has improved greatly in recent years because of satellite remote sensing. However, high computational costs inherently associated with processing and analysis of satel
Externí odkaz:
https://doaj.org/article/8fb6fb205d42443cb52cb8e8c38c34f0
Autor:
Sizhuo Li, Martin Brandt, Rasmus Fensholt, Ankit Kariryaa, Christian Igel, Fabian Gieseke, Thomas Nord-Larsen, Stefan Oehmke, Ask Holm-Carlsen, Samuli Junttila, Xiaoye Tong, Alexandre d’Aspremont, Philippe Ciais
Intelligent forest management is the key to mitigating climate warming, fostering a green economy, and protecting valuable habitats. Detailed knowledge about forests is a prerequisite for such management but is conventionally based on costly plot-sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b715625ed0595dfca8f890cf1ecf189
https://hal.science/hal-03837835/document
https://hal.science/hal-03837835/document
Autor:
Jaime Revenga, Stefan Oehmcke, Mana Gharun, Flurin Sutter, Katerina Trepekli, Fabian Gieseke, Nina Buchmann, Alexander Damm
Forest structure analyses and biomass prediction systems are key tools for advancing forest trait-based ecology and ecosystem stewardship. The combination of near-field remote sensing techniques---e.g., Unmanned Aerial Vehicles (UAV) and Light Detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f9cc773a6abcd9e6be14a49a5975b1
https://doi.org/10.31223/x5qs98
https://doi.org/10.31223/x5qs98
Autor:
Maurice Mugabowindekwe, Martin Brandt, Jérôme Chave, Florian Reiner, David L. Skole, Ankit Kariryaa, Christian Igel, Pierre Hiernaux, Philippe Ciais, Ole Mertz, Xiaoye Tong, Sizhuo Li, Gaspard Rwanyiziri, Thaulin Dushimiyimana, Alain Ndoli, Valens Uwizeyimana, Jens-Peter Barnekow Lillesø, Fabian Gieseke, Compton J. Tucker, Sassan Saatchi, Rasmus Fensholt
Publikováno v:
Mugabowindekwe, M, Brandt, M, Chave, J, Reiner, F, Skole, D L, Kariryaa, A, Igel, C, Hiernaux, P, Ciais, P, Mertz, O, Tong, X, Li, S, Rwanyiziri, G, Dushimiyimana, T, Ndoli, A, Uwizeyimana, V, Lillesø, J-P B, Gieseke, F, Tucker, C J, Saatchi, S & Fensholt, R 2023, ' Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda ', Nature climate change, vol. 13, pp. 91-97 . https://doi.org/10.1038/s41558-022-01544-w
Nature Climate Change
Nature Climate Change, 2022, ⟨10.1038/s41558-022-01544-w⟩
Nature Climate Change
Nature Climate Change, 2022, ⟨10.1038/s41558-022-01544-w⟩
Trees sustain livelihoods and mitigate climate change but a predominance of trees outside forests and limited resources make it difficult for many tropical countries to conduct automated nation-wide inventories. Here, we propose an approach to map th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b52e7b29ed34ea352c2fa4c8eae184d
https://curis.ku.dk/portal/da/publications/nationwide-mapping-of-treelevel-aboveground-carbon-stocks-in-rwanda(bf565f56-44fe-4ad7-b22e-0aadd53df761).html
https://curis.ku.dk/portal/da/publications/nationwide-mapping-of-treelevel-aboveground-carbon-stocks-in-rwanda(bf565f56-44fe-4ad7-b22e-0aadd53df761).html
Autor:
Sizhuo Li, Martin Brandt, Rasmus Fensholt, Ankit Kariryaa, Christian Igel, Fabian Gieseke, Thomas Nord-Larsen, Stefan Oehmcke, Ask Holm Carlsen, Samuli Junttila, Xiaoye Tong, Alexandre d’Aspremont, Philippe Ciais
Publikováno v:
Li, S, Brandt, M, Fensholt, R, Kariryaa, A, Igel, C, Gieseke, F, Nord-Larsen, T, Oehmcke, S, Carlsen, A H, Junttila, S, Tong, X, d’Aspremont, A & Ciais, P 2023, ' Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale ', PNAS Nexus, bind 2, nr. 4 . https://doi.org/10.1093/pnasnexus/pgad076
Sustainable tree resource management is the key to mitigating climate warming, fostering a green economy, and protecting valuable habitats. Detailed knowledge about tree resources is a prerequisite for such management but is conventionally based on p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a63b3c9e88ddcec2ada4335323fb812c
https://curis.ku.dk/portal/da/publications/deep-learning-enables-imagebased-tree-counting-crown-segmentation-and-height-prediction-at-national-scale(ccf1c1e9-4f30-4727-9db8-51320ce81a21).html
https://curis.ku.dk/portal/da/publications/deep-learning-enables-imagebased-tree-counting-crown-segmentation-and-height-prediction-at-national-scale(ccf1c1e9-4f30-4727-9db8-51320ce81a21).html
Autor:
Lian Feng, Yang Xu, Hongwei Fang, Xiao-Peng Song, Fabian Gieseke, Ankit Kariryaa, Stefan Oehmcke, Luke Gibson, Xiating Jiang, Ruimin Lin, Wang Xu, Chunmiao Zheng, Martin Brandt, Rasmus Fensholt
Losses of coastal wetlands have been observed worldwide, but the extent to which inland wetlands have been exploited by humans is currently unknown on a global scale. Here, we map the distribution of land reclamation over global inland and coastal we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a73236190fef8e0df5a76682171452a4
https://doi.org/10.21203/rs.3.rs-2353047/v1
https://doi.org/10.21203/rs.3.rs-2353047/v1
Autor:
Florian Reiner, Martin Brandt, Xiaoye Tong, David Skole, Ankit Kariryaa, Philippe Ciais, Andrew Davies, Pierre Hiernaux, Jerome Chave, Maurice Mugabowindekwe, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Sizhuo Li, Siyu Liu, Sassan Saatchi, Peter Boucher, Jenia Singh, Simon Taugourdeau, Morgane Dendoncker, Xiao-Peng Song, Ole Mertz, Compton J. Tucker, Rasmus Fensholt
The consistent monitoring of trees both inside and outside of forests is key to mitigating climate change. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b22f48dbf4bb31b01deb2948b58ef67
https://doi.org/10.21203/rs.3.rs-1816495/v2
https://doi.org/10.21203/rs.3.rs-1816495/v2