Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Frieke van Coillie"'
Autor:
Mengxi Wang, Lander Baeten, Frieke Van Coillie, Kim Calders, Kris Verheyen, Quentin Ponette, Haben Blondeel, Bart Muys, John Armston, Hans Verbeeck
Publikováno v:
Forest Ecosystems, Vol 11, Iss , Pp 100196- (2024)
Vertical forest structure is closely linked to multiple ecosystem characteristics, such as biodiversity, habitat, and productivity. Mixing tree species in planted forests has the potential to create diverse vertical forest structures due to the diffe
Externí odkaz:
https://doaj.org/article/78b31163eb4147cf8c1e9d2fe3f30eef
Autor:
Iris Moeneclaey, Stephanie Schelfhout, Margot Vanhellemont, Eva DeCock, Frieke Van Coillie, Kris Verheyen, Lander Baeten
Publikováno v:
Basic and Applied Ecology, Vol 62, Iss , Pp 1-11 (2022)
Excess soil phosphorus often constrains ecological restoration of degraded semi-natural grasslands in Western-Europe. Slow-growing species, often target of restoration (measures), are at a disadvantage because they are outcompeted by fast-growing spe
Externí odkaz:
https://doaj.org/article/b80c7b03fb6a4b72b52c252d33d5f2a8
Publikováno v:
Land, Vol 12, Iss 5, p 1112 (2023)
An accurate and detailed understanding of land-use change affected by anthropogenic actions is key to environmental policy decision-making and implementation. Although global land cover products have been widely used to monitor and analyse land use/l
Externí odkaz:
https://doaj.org/article/cc3f87b725284f979d984c6ceee8073e
Publikováno v:
IEEE Access, Vol 6, Pp 68716-68729 (2018)
Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspect
Externí odkaz:
https://doaj.org/article/06a49a2c7a0e4252b45926f3df1ad8de
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4163 (2020)
A reliable estimation and monitoring of tree canopy cover or shade distribution is essential for a sustainable cocoa production via agroforestry systems. Remote sensing (RS) data offer great potential in retrieving and monitoring vegetation status at
Externí odkaz:
https://doaj.org/article/580d4fcee09d43379918c56588a99f00
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2118 (2020)
Insights into flood dynamics, rather than solely flood extent, are critical for effective flood disaster management, in particular in the context of emergency relief and damage assessment. Although flood dynamics provide insight in the spatio-tempora
Externí odkaz:
https://doaj.org/article/a017c7c81ca94c8083ef8cad81e4dbc5
Autor:
Wenzhi Liao, Xin Huang, Frieke Van Coillie, Sidharta Gautama, Aleksandra Pizurica, Wilfried Philips, Hui Liu, Tingting Zhu, Michal Shimoni, Gabriele Moser, Devis Tuia
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 6, Pp 2984-2996 (2015)
This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized
Externí odkaz:
https://doaj.org/article/8b873a46ab624acca80825ecddab6402
Autor:
Johannes Charlier, Karen Soenen, Els De Roeck, Wouter Hantson, Els Ducheyne, Frieke Van Coillie, Robert De Wulf, Guy Hendrickx, Jozef Vercruysse
Publikováno v:
Parasites & Vectors, Vol 7, Iss 1, Pp 1-8 (2014)
Abstract Background The trematode parasite Fasciola hepatica causes important economic losses in ruminants worldwide. Current spatial distribution models do not provide sufficient detail to support farm-specific control strategies. A technology to re
Externí odkaz:
https://doaj.org/article/393ed41fba8a43e9b6e025155e28c6b4
Autor:
Bos Debusscher, Frieke Van Coillie
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1883 (2019)
The amount of freely available satellite data is growing rapidly as a result of Earth observation programmes, such as Copernicus, an initiative of the European Space Agency. Analysing these huge amounts of geospatial data and extracting useful inform
Externí odkaz:
https://doaj.org/article/86cba19d0e1c4042b6bfdd0283cf87d9
Autor:
Stéphanie Vandamme, Matthias Demuzere, Marie-Leen Verdonck, Zhiming Zhang, Frieke Van Coillie
Publikováno v:
Remote Sensing, Vol 11, Iss 14, p 1731 (2019)
Over the last decade, Kunming has been subject to a strong urbanisation driven by rapid economic growth and socio-economic, topographical and proximity factors. As this urbanisation is expected to continue in the future, it is important to understand
Externí odkaz:
https://doaj.org/article/cdb0bedabd66458ca7e6d2dc5d896f69