Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Christoph Gollob"'
Autor:
Arne Nothdurft, Andreas Tockner, Sarah Witzmann, Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Karl Stampfer, Andrew O. Finley
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2181 (2024)
A novel Bayesian spatial distributional regression model is presented to predict forest structural diversity in terms of the distributions of the stem diameter at breast height (DBH) in the protection forests in Ebensee, Austria. The distributional r
Externí odkaz:
https://doaj.org/article/58ae75963a8449f2be3e67b87e3f6c85
Autor:
Florian Ehrlich-Sommer, Ferdinand Hoenigsberger, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Andreas Holzinger
Publikováno v:
Sensors, Vol 24, Iss 3, p 798 (2024)
Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance forest management while minimizing the environmental impact. The efficacy of AI in this domain is contingent upon the availability of extensive, high-qual
Externí odkaz:
https://doaj.org/article/3e69071d549e4ade8167dc54a98196fd
Automatic tree crown segmentation using dense forest point clouds from Personal Laser Scanning (PLS)
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103025- (2022)
Among digital-based technologies to monitor forest ecosystems, personal laser scanning (PLS) has high potential to characterize even complex deciduous and rainforests. PLS data include a complete and detailed 3D representation of forest stands, but t
Externí odkaz:
https://doaj.org/article/b7ee5dafdae84e6088512a4c6efd4c48
Publikováno v:
European Journal of Forest Research. 142:611-626
Autor:
Sarah Witzmann, Laura Matitz, Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Andreas Tockner, Karl Stampfer, Arne Nothdurft
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1923 (2022)
The utilization of terrestrial laser scanning (TLS) data for forest inventory purposes has increasingly gained recognition in the past two decades. Volume estimates from TLS data are usually derived from the integral of cross-section area estimates a
Externí odkaz:
https://doaj.org/article/b269025d80784fd58e8f8bfe76186b03
Autor:
Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Andreas Gronauer, Vladimir Pejakovic, Francisco Medel-Jimenez, Theresa Krexner, Christoph Gollob, Karl Stampfer
Publikováno v:
Sensors, Vol 22, Iss 8, p 3043 (2022)
The main impetus for the global efforts toward the current digital transformation in almost all areas of our daily lives is due to the great successes of artificial intelligence (AI), and in particular, the workhorse of AI, statistical machine learni
Externí odkaz:
https://doaj.org/article/1da8505dd22f4eb99dcb20690f309b09
Publikováno v:
Forests, Vol 13, Iss 2, p 350 (2022)
Digitization can help the forest industry to improve cost efficiency and to reduce possible environmental impacts. In the context of this study, models were implemented using the example of windthrow processing, which enables a capacity planning for
Externí odkaz:
https://doaj.org/article/a8d36a5dbc7348dab09980f318f1e71b
Publikováno v:
Forests, Vol 13, Iss 1, p 90 (2022)
Increased frequencies and windspeeds of storms may cause disproportionately high increases in windthrow damage. Storm-felled trees provide a surplus of breeding material for bark beetles, often resulting in calamities in the subsequent years. Thus, t
Externí odkaz:
https://doaj.org/article/9d3405114b9e4f648e684887090a13c4
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3129 (2021)
The estimation of single tree and complete stand information is one of the central tasks of forest inventory. In recent years, automatic algorithms have been successfully developed for the detection and measurement of trees with laser scanning techno
Externí odkaz:
https://doaj.org/article/093edafdfbf04273bea49f592a1a9b78
Publikováno v:
Forests, Vol 11, Iss 10, p 1099 (2020)
A novel approach is presented to model the tree detection probability of terrestrial laser scanning (TLS) in forest inventory applications using a multi-scan mode. The traditional distance sampling framework is further extended to account for multipl
Externí odkaz:
https://doaj.org/article/a89b4e15424348aeab4c24e4d3608a72