Zobrazeno 1 - 10
of 1 341
pro vyhledávání: '"M Heurich"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 587-592 (2024)
Forests play key roles in climate regulation and essential environmental services for living organisms. This is why forests are the central focus of the United Nations (UN) Sustainable Development Goal (SDG 15). Thus, effective forest management is c
Externí odkaz:
https://doaj.org/article/422045b1324e4ae6b144ab5be8c98aaa
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 8, Iss , Pp 100037- (2023)
Precise single tree delineation allows for a more reliable determination of essential parameters such as tree species, height and vitality. Methods of instance segmentation are powerful neural networks for detecting and segmenting single objects and
Externí odkaz:
https://doaj.org/article/3c721d92ca8f4b3e97fcc5a811afc5b4
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 981-988 (2022)
Single tree detection has been a major research topic concerning automatic forest inventory using remote sensing data. Recently, deep learning-based approaches in remote sensing forestry have gained attention because of the prospect of improved accur
Externí odkaz:
https://doaj.org/article/ca0da0c4f267462eb9e531bf1717bbda
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 717-723 (2020)
The use of multispectral imagery for monitoring biodiversity in ecosystems is becoming widespread. A key parameter of forest ecosystems is the distribution of dead wood. This work addresses the segmentation of individual dead tree crowns in nadir-vie
Externí odkaz:
https://doaj.org/article/c02e620f96a9403ab493ffc9bca6e377
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W16, Pp 127-133 (2019)
The assessment of the forests’ health conditions is an important task for biodiversity, forest management, global environment monitoring, and carbon dynamics. Several research works were proposed to evaluate the state condition of a forest based on
Externí odkaz:
https://doaj.org/article/72bf32b7b76344f4b04816c03d4dc2d8
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W5, Pp 429-436 (2019)
Airborne laser scanning (ALS) is an established tool for deriving various tree characteristics in forests. In some applications, an accurate pointwise estimate of the tree position is required. For dense data acquired by TLS or UAV-mounted scanners,
Externí odkaz:
https://doaj.org/article/ea3e1d2b022640128c81c15b72ed41fe
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 31-34 (2018)
The presented experiment investigates the potential of Multispectral Laser Scanning (MLS) point clouds for single tree species classification. The basic idea is to simulate a MLS sensor by combining two different Lidar sensors providing three differe
Externí odkaz:
https://doaj.org/article/f01c93fe42f54418bd5a1993ef91a1b5
Autor:
M P G Hofman, M W Hayward, M Heim, P Marchand, C M Rolandsen, J Mattisson, F Urbano, M Heurich, A Mysterud, J Melzheimer, N Morellet, U Voigt, B L Allen, B Gehr, C Rouco, W Ullmann, Ø Holand, N H Jørgensen, G Steinheim, F Cagnacci, M Kroeschel, P Kaczensky, B Buuveibaatar, J C Payne, I Palmegiani, K Jerina, P Kjellander, Ö Johansson, S LaPoint, R Bayrakcismith, J D C Linnell, M Zaccaroni, M L S Jorge, J E F Oshima, A Songhurst, C Fischer, R T Mc Bride, J J Thompson, S Streif, R Sandfort, C Bonenfant, M Drouilly, M Klapproth, D Zinner, R Yarnell, A Stronza, L Wilmott, E Meisingset, M Thaker, A T Vanak, S Nicoloso, R Graeber, S Said, M R Boudreau, A Devlin, R Hoogesteijn, J A May-Junior, J C Nifong, J Odden, H B Quigley, F Tortato, D M Parker, A Caso, J Perrine, C Tellaeche, F Zieba, T Zwijacz-Kozica, C L Appel, I Axsom, W T Bean, B Cristescu, S Périquet, K J Teichman, S Karpanty, A Licoppe, V Menges, K Black, T L Scheppers, S C Schai-Braun, F C Azevedo, F G Lemos, A Payne, L H Swanepoel, B V Weckworth, A Berger, A Bertassoni, G McCulloch, P Šustr, V Athreya, D Bockmuhl, J Casaer, A Ekori, D Melovski, C Richard-Hansen, D van de Vyver, R Reyna-Hurtado, E Robardet, N Selva, A Sergiel, M S Farhadinia, P Sunde, R Portas, H Ambarli, R Berzins, P M Kappeler, G K Mann, L Pyritz, C Bissett, T Grant, R Steinmetz, L Swedell, R J Welch, D Armenteras, O R Bidder, T M González, A Rosenblatt, S Kachel, N Balkenhol
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0216223 (2019)
Satellite telemetry is an increasingly utilized technology in wildlife research, and current devices can track individual animal movements at unprecedented spatial and temporal resolutions. However, as we enter the golden age of satellite telemetry,
Externí odkaz:
https://doaj.org/article/5b486103730b4ed799a4e84e839f7cc6
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