Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nataliia Rehush"'
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 11, Pp 2010-2023 (2024)
Abstract In close‐range remote sensing data collected in a forest, occlusion often causes incomplete or sparse point cloud representations of individual trees, impeding accurate 3D reconstruction of tree architecture and estimation of tree height a
Externí odkaz:
https://doaj.org/article/0a445b2c9399439b906effbf709f4548
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:
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:
Remote Sensing, Vol 14, Iss 9, p 2135 (2022)
Historical black-and-white (B&W) aerial images have been recognized as an important source of information for assessing vegetation dynamics. However, the use of these images is limited by the lack of multispectral information, as well as by their var
Externí odkaz:
https://doaj.org/article/15b361c2ae2e42f79a593094d8774cea
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1735 (2018)
Tree-related microhabitats (TreMs) play an important role in maintaining forest biodiversity and have recently received more attention in ecosystem conservation, forest management and research. However, TreMs have until now only been assessed by expe
Externí odkaz:
https://doaj.org/article/5b34a971d8634a02b95feaf2801c3eb5
Countrywide winter and summer Sentinel-1 (S1) backscatter data, cloud-free summer Sentinel-2 (S2) images, an Airborne Laser Scanning (ALS)-based Digital Terrain Model (DTM) and a forest mask were used to model and subsequently map Dominant Leaf Type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e751306c3eaa1dedf4620a3578b6fe5f
https://www.zora.uzh.ch/id/eprint/209383/
https://www.zora.uzh.ch/id/eprint/209383/
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 766 (2017)
Although wall-to-wall, accurate, and up-to-date forest composition maps at the stand level are a fundamental input for many applications, ranging from global environmental issues to local forest management planning, countrywide mapping approaches on
Externí odkaz:
https://doaj.org/article/509c96bf408a48a2b7e18c4f31075514
Autor:
Nataliia Rehush, Lars T. Waser
Publikováno v:
Canadian Journal of Forest Research. 47:63-72
Forest structure reflects the forest disturbance regime and can provide important information about the rate of human impact. A better understanding of the structural variability and large-scale dynamics of natural forests is crucial for “close to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df187bc4d508c76f9461983fada0bf14
https://doi.org/10.1139/cjfr-2016-0253
https://doi.org/10.1139/cjfr-2016-0253