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Adrien Michez
Adrien Michez
ULiège - Gembloux Agro-Bio Tech
Bestätigte E-Mail-Adresse bei ulg.ac.be
Titel
Zitiert von
Zitiert von
Jahr
Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system
A Michez, H Piégay, J Lisein, H Claessens, P Lejeune
Environmental Monitoring and Assessment 188 (3), 2016
2562016
Mapping of riparian invasive species with supervised classification of Unmanned Aerial System (UAS) imagery
A Michez, H Piégay, L Jonathan, H Claessens, P Lejeune
International Journal of Applied Earth Observation and Geoinformation 44, 88-94, 2016
1622016
Discrimination of deciduous tree species from time series of unmanned aerial system imagery
J Lisein, A Michez, H Claessens, P Lejeune
PLoS ONE 10 (11), e0141006, 2015
1402015
Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers
L Huylenbroeck, M Laslier, S Dufour, B Georges, P Lejeune, A Michez
Journal of Environmental Management 267, 110652, 2020
972020
Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System
A Michez, P Lejeune, S Bauwens, AAL Herinaina, Y Blaise, ...
Remote Sensing 11 (5), 473, 2019
842019
Forest mapping and species composition using supervised per pixel classification of Sentinel-2 imagery
C Bolyn, A Michez, P Gaucher, P Lejeune, S Bonnet
Biotechnologie, Agronomie, Société et Environnement 22 (3), 2018
672018
LiDAR derived ecological integrity indicators for riparian zones: Application to the Houille river in Southern Belgium/Northern France
A Michez, H Piégay, F Toromanoff, D Brogna, S Bonnet, P Lejeune, ...
Ecological Indicators 34, 627-640, 2013
532013
Multi-temporal monitoring of a regional riparian buffer network (> 12,000 km) with LiDAR and photogrammetric point clouds
A Michez, H Piégay, P Lejeune, H Claessens
Journal of environmental management 202, 424-436, 2017
512017
How Can Remote Sensing Help Monitor Tropical Moist Forest Degradation?—A Systematic Review
C Dupuis, P Lejeune, A Michez, A Fayolle
Remote Sensing 12 (7), 1087, 2020
502020
Use of unmanned aerial system to assess wildlife (Sus scrofa) damage to crops (Zea mays)
A Michez, K Morelle, F Lehaire, J Widar, M Authelet, C Vermeulen, ...
Journal of Unmanned Vehicle Systems 4 (4), 266-275, 2016
402016
Forest cover correlates with good biological water quality. Insights from a regional study (Wallonia, Belgium)
D Brogna, M Dufrêne, A Michez, A Latli, S Jacobs, C Vincke, ...
Journal of Environmental Management 211, 9-21, 2018
372018
How Far Can Consumer-Grade UAV RGB Imagery Describe Crop Production? A 3D and Multitemporal Modeling Approach Applied to Zea mays
A Michez, S Bauwens, Y Brostaux, MP Hiel, S Garré, P Lejeune, ...
Remote Sensing 10 (11), 1798, 2018
362018
Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality Heterogeneity? Insight from a Timothy Pasture Case Study in Southern Belgium
A Michez, L Philippe, K David, C Sébastien, D Christian, J Bindelle
Remote Sensing 12 (10), 1650, 2020
312020
Linking Forest Cover to Water Quality: A Multivariate Analysis of Large Monitoring Datasets
D Brogna, A Michez, S Jacobs, M Dufrêne, C Vincke, N Dendoncker
Water 9 (3), 176, 2017
302017
Mapping tree species proportions from satellite imagery using spectral–spatial deep learning
C Bolyn, P Lejeune, A Michez, N Latte
Remote Sensing of Environment 280, 113205, 2022
282022
Land surface remote sensing in agriculture and Forest
N Baghdadi, M Zribi
Elsevier, 2016
262016
Bringing the margin to the focus: 10 challenges for riparian vegetation science and management
PM Rodríguez‐González, E Abraham, F Aguiar, A Andreoli, ...
Wiley Interdisciplinary Reviews: Water 9 (5), e1604, 2022
242022
Characterizing vegetation complexity with unmanned aerial systems (UAS)–A framework and synthesis
J Müllerová, X Gago, M Bučas, J Company, J Estrany, J Fortesa, ...
Ecological Indicators 131, 108156, 2021
162021
Ears in the Sky: Potential of Drones for the Bioacoustic Monitoring of Birds and Bats
A Michez, S Broset, P Lejeune
Drones 5 (1), 9, 2021
142021
What Factors Shape Spatial Distribution of Biomass in Riparian Forests? Insights from a LiDAR Survey over a Large Area
L Huylenbroeck, N Latte, P Lejeune, B Georges, H Claessens, A Michez
Forests 12 (3), 371, 2021
122021
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