Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Verena C Griess"'
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0273487 (2022)
The advancement and accessibility of high-resolution remotely sensed data has made it feasible to detect tree canopy cover (TCC) changes over small spatial scales. However, the short history of these high-resolution collection techniques presents cha
Externí odkaz:
https://doaj.org/article/95c1ff43f3944ce2a72c0858c4ee9478
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272406 (2022)
Mapping and valuing of forest recreation is time-consuming and complex, hampering its inclusion in forest management plans and hence the achievement of a fully sustainable forest management. In this study, we explore the potential of crowdsourced soc
Externí odkaz:
https://doaj.org/article/d2e40e5ec4cc40dfa47f27ba5b704706
Autor:
Cyprien R. Fol, Nianfang Shi, Normand Overney, Arnadi Murtiyoso, Fabio Remondino, Verena C. Griess
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
While forest biodiversity faces a concerning decline, modern technology presents promising avenues for mitigation. However, a critical gap persists in reconciling ecological knowledge with the technical expertise required to use state-of-the-art tech
Externí odkaz:
https://doaj.org/article/7821ce1f2b6b414aa845a7699f23ce19
Autor:
Hristina Hristova, Arnadi Murtiyoso, Daniel Kukenbrink, Mauro Marty, Meinrad Abegg, Christoph Fischer, Verena C. Griess, Nataliia Rehush
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17612-17625 (2024)
Understanding and monitoring the surrounding environment increasingly rely on its 3-D representations. However, the often high costs of 3-D data equipment limit its wide usage, and low-cost solutions are in demand. Here, we propose a novel approach b
Externí odkaz:
https://doaj.org/article/c1cdfec2bb2141b38945a46e7ab995f9
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103396- (2023)
Monitoring biodiversity in forests is crucial for their management and preservation, especially in light of increasing climatic disturbances. However, traditional methods of surveying forest biodiversity, such as the inventory of tree-related microha
Externí odkaz:
https://doaj.org/article/6977b0518d5741e49158d2890b6cd9c6
Publikováno v:
Ecological Indicators, Vol 149, Iss , Pp 110165- (2023)
Conventionally, forest management plans have focused on ensuring a continuous provision of wood. In recent years, political agendas worldwide have recognized the importance of forests’ cultural ecosystem services, such as recreation. However, the i
Externí odkaz:
https://doaj.org/article/f06b60256e804c6e881f612debc9c0d3
Autor:
Martin Queinnec, Nicholas C. Coops, Joanne C. White, Verena C. Griess, Naomi B. Schwartz, Grant McCartney
Publikováno v:
Canadian Journal of Remote Sensing, Vol 49, Iss 1 (2023)
Airborne light detection and ranging (LiDAR) data are increasingly used to inform sustainable forest management practices. Information about species composition is needed for a range of applications; however, commonly used area-based summaries of LiD
Externí odkaz:
https://doaj.org/article/2dbd8e0b97c349f7820edeb514a5735f
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1463 (2023)
Automatic identification and mapping of tree species is an essential task in forestry and conservation. However, applications that can geolocate individual trees and identify their species in heterogeneous forests on a large scale are lacking. Here,
Externí odkaz:
https://doaj.org/article/529dc8a9e5ae45e2a495e4844ab7a5e1
Autor:
Vahid Nasiri, Ali Asghar Darvishsefat, Hossein Arefi, Verena C. Griess, Seyed Mohammad Moein Sadeghi, Stelian Alexandru Borz
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1453 (2022)
Forest canopy cover (FCC) is an important ecological parameter of forest ecosystems, and is correlated with forest characteristics, including plant growth, regeneration, biodiversity, light regimes, and hydrological properties. Here, we present an ap
Externí odkaz:
https://doaj.org/article/4145876fecfa4c60a44b8d7ef9d97569
Publikováno v:
International Journal of Forest Engineering, 34 (1)
The competitiveness of forest companies is strongly affected by the costs associated with getting the raw material to the mills. As harvesting costs contribute significantly to this cost, mathematical programming models were developed to optimize the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fc5270ca250dc07afa9d97303354efe
https://doi.org/10.1080/14942119.2022.2085464
https://doi.org/10.1080/14942119.2022.2085464