Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Katri Tegel"'
Autor:
Almasi S. Maguya, Katri Tegel, Virpi Junttila, Tuomo Kauranne, Markus Korhonen, Janice Burns, Vesa Leppanen, Blanca Sanz
Publikováno v:
Remote Sensing, Vol 7, Iss 7, Pp 8950-8972 (2015)
Canopy base height (CBH) is a key parameter used in forest-fire modeling, particularly crown fires. However, estimating CBH is a challenging task, because normally, it is difficult to measure it in the field. This has led to the use of simple estimat
Externí odkaz:
https://doaj.org/article/bc38edda2c124650bbcb448a4edbd171
Autor:
Ernest William Mauya, Joni Koskinen, Katri Tegel, Jarno Hämäläinen, Tuomo Kauranne, Niina Käyhkö
Publikováno v:
Forests, Vol 10, Iss 3, p 279 (2019)
Remotely sensed assisted forest inventory has emerged in the past decade as a robust and cost efficient method for generating accurate information on forest biophysical parameters. The launching and public access of ALOS PALSAR-2, Sentinel-1 (SAR), a
Externí odkaz:
https://doaj.org/article/f3ec07b0921b447ba88fdf03e82fdef0
Autor:
Tuomo Kauranne, Anup Joshi, Basanta Gautam, Ugan Manandhar, Santosh Nepal, Jussi Peuhkurinen, Jarno Hämäläinen, Virpi Junttila, Katja Gunia, Petri Latva-Käyrä, Alexander Kolesnikov, Katri Tegel, Vesa Leppänen
Publikováno v:
Remote Sensing, Vol 9, Iss 2, p 154 (2017)
Forest measurement for purposes like harvesting planning, biomass estimation and mitigating climate change through carbon capture by forests call for increasingly frequent forest measurement campaigns that need to balance cost with accuracy and preci
Externí odkaz:
https://doaj.org/article/3abeddd6c5b441bd963c4758bc099051
Autor:
Yrjö Rauste, Katri Tegel, Jaan Praks, Oleg Antropov, Virpi Junttila, Yamuna Baral, Tuomo Kauranne, Tuomas Häme
Publikováno v:
Antropov, O, Rauste, Y, Tegel, K, Baral, Y, Junttila, V, Kauranne, T, Häme, T & Praks, J 2018, Tropical forest tree height and above ground biomass mapping in Nepal using TanDEM-X and ALOS PALSAR data . in 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018) . IEEE Institute of Electrical and Electronic Engineers, IEEE International Geoscience and Remote Sensing Symposium Proceedings, vol. 38, pp. 5334-5336, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18 . https://doi.org/10.1109/IGARSS.2018.8519190
IGARSS
IGARSS
In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for the assessment of tropical forest properties in Nepal. Research to be presented at the conference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::415535151bdf89e2da654bac9072948f
https://doi.org/10.1109/IGARSS.2018.8519190
https://doi.org/10.1109/IGARSS.2018.8519190
Autor:
Basanta Gautam, Y. Kandel, Eric Dinerstein, G. J. Thapa, S. Lohani, T. Suihkonen, Jarno Hämäläinen, Parvez Rana, J. Niles, Pem Narayan Kandel, M. Hawkes, Katri Tegel, D. Hall, Katja Gunia, S. M. Nepal, George V. N. Powell, Petri Latva-Käyrä, SK Gautam, L. Gamble, Naikoa Aguilar-Amuchastegui, Anup R. Joshi, Tuomo Kauranne, M. Gunia, J. Peukurinen, A. Eivazi, U. Manandhar, Virpi Junttila, Alexander Kolesnikov
Publikováno v:
Banko Janakari. 24:23-33
In preparation for participation in funding mechanisms established under the United Nations’ framework for reducing emissions from deforestation and forest degradation (REDD+), the Government of Nepal has developed a sub-national reference level (R
Autor:
Katja Gunia, Petri Latva-Käyrä, Basanta Gautam, Anup R. Joshi, Vesa Johannes Leppanen, Virpi Junttila, Jussi Peuhkurinen, Jarno Hämäläinen, Katri Tegel, Alexander Kolesnikov, Santosh Nepal, Tuomo Kauranne, Ugan Manandhar
Publikováno v:
Kauranne, T, Joshi, A, Gautam, B, Manandhar, U, Nepal, S, Peuhkurinen, J, Hämäläinen, J, Junttila, V, Gunia, K, Latva-Käyrä, P, Kolesnikov, A, Tegel, K & Leppänen, V 2017, ' LiDAR-Assisted Multi-Source Program (LAMP) for measuring above ground biomass and forest carbon ', Remote Sensing, vol. 9, no. 2, 154 . https://doi.org/10.3390/rs9020154
Remote Sensing; Volume 9; Issue 2; Pages: 154
Remote Sensing, Vol 9, Iss 2, p 154 (2017)
Remote Sensing; Volume 9; Issue 2; Pages: 154
Remote Sensing, Vol 9, Iss 2, p 154 (2017)
Forest measurement for purposes like harvesting planning, biomass estimation and mitigating climate change through carbon capture by forests call for increasingly frequent forest measurement campaigns that need to balance cost with accuracy and preci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dec021757afd266644eb1c7d08d690c
https://cris.vtt.fi/en/publications/c2460db5-d647-422d-bd13-252953b56ebf
https://cris.vtt.fi/en/publications/c2460db5-d647-422d-bd13-252953b56ebf
Autor:
Virpi Junttila, Almasi S. Maguya, Jussi Peuhkurinen, Tuomo Kauranne, Jarno Hämäläinen, Katri Tegel, Basanta Gautam, Ekaterina Nikolaeva, Bhaskar Singh Karky, Katja Gunia, Petri Latva-Käyrä
Publikováno v:
Carbon Balance and Management
Junttila, V, Gautam, B, Karky, B S, Maguya, A, Tegel, K, Kauranne, T, Gunia, K, Hämäläinen, J, Latva-Käyrä, P, Nikolaeva, E & Peuhkurinen, J 2015, ' Robustness of model-based high-resolution prediction of forest biomass against different field plot designs ', Carbon Balance and Management, vol. 10, no. 1, 29 . https://doi.org/10.1186/s13021-015-0038-1
Junttila, V, Gautam, B, Karky, B S, Maguya, A, Tegel, K, Kauranne, T, Gunia, K, Hämäläinen, J, Latva-Käyrä, P, Nikolaeva, E & Peuhkurinen, J 2015, ' Robustness of model-based high-resolution prediction of forest biomass against different field plot designs ', Carbon Balance and Management, vol. 10, no. 1, 29 . https://doi.org/10.1186/s13021-015-0038-1
Background: Participatory forest monitoring has been promoted as a means to engage local forest-dependent communities in concrete climate mitigation activities as it brings a sense of ownership to the communities and hence increases the likelihood of
Autor:
Katri Tegel, Janice Burns, Virpi Junttila, Vesa Johannes Leppanen, Almasi S. Maguya, Blanca Sanz, Markus Korhonen, Tuomo Kauranne
Publikováno v:
Remote Sensing; Volume 7; Issue 7; Pages: 8950-8972
Remote Sensing, Vol 7, Iss 7, Pp 8950-8972 (2015)
Remote Sensing, Vol 7, Iss 7, Pp 8950-8972 (2015)
Canopy base height (CBH) is a key parameter used in forest-fire modeling, particularly crown fires. However, estimating CBH is a challenging task, because normally, it is difficult to measure it in the field. This has led to the use of simple estimat