Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Verena C. Griess"'
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:
Vahid Nasiri, Mirela Beloiu, Ali Asghar Darvishsefat, Verena C. Griess, Carmen Maftei, Lars T. Waser
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 116, Iss , Pp 103154- (2023)
The tree species composition (TSC) reflects a forest's tree species diversity and is relevant for forest planning, biodiversity conservation, and forest resources management. Yet, accurate information on tree species composition at landscape scale is
Externí odkaz:
https://doaj.org/article/603b788883b9416b9c9186ad6d170911
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
Autor:
Christina Howard, Caren C. Dymond, Verena C. Griess, Darius Tolkien-Spurr, G. Cornelis van Kooten
Publikováno v:
Carbon Balance and Management, Vol 16, Iss 1, Pp 1-11 (2021)
Abstract Background There are high estimates of the potential climate change mitigation opportunity of using wood products. A significant part of those estimates depends on long-lived wood products in the construction sector replacing concrete, steel
Externí odkaz:
https://doaj.org/article/98845a571c4c459285c34af0d62d260d
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
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (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/a2caabace41948e1bac16353ef3a7246
Autor:
Vahid Nasiri, Seyed Mohammad Moein Sadeghi, Fardin Moradi, Samaneh Afshari, Azade Deljouei, Verena C. Griess, Carmen Maftei, Stelian Alexandru Borz
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 8, p 423 (2022)
Forest canopy cover (FCC) is one of the most important forest inventory parameters and plays a critical role in evaluating forest functions. This study examines the potential of integrating Sentinel-1 (S-1) and Sentinel-2 (S-2) data to map FCC in the
Externí odkaz:
https://doaj.org/article/8a5bc65d753146f59d7b78f715922f5e