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Nonlinear unmixing of vegetated areas: a model comparison based on simulated and real hyperspectral data . ×. by Ben Somers. See Full PDF Download PDF. Create a free Academia.edu account. Access 47 million research papers for free; Keep up-to-date with the latest research;
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Ben Somers. Division Forest, Nature and Landscape, KU Leuven, 3001 Heverlee, Belgium. Joint last authors.Search for more papers by this author. Pol Coppin,. Our ARx model is the first to simultaneously derive vegetation resistance and resilience metrics at a global scale, explicitly taking into account the spatial variability of short-term.
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BEN SOMERS AMCK MODELS (London) Height: 6'2" Chest: 30 Hair: Blonde Eyes: Green Quote MauiKane Global Moderators 8.9k Gender:Not Telling Location:East Coast - USA Private Content Viewing Login to View MauiKane Global Moderators 8.9k Gender:Not Telling Location:East Coast - USA Author
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Ben is a Strategic Advisor at Flowtrack. He has over 25 years of experience in business development, debt capital markets, corporate banking, and alternative asset management, spearheading the growth of Elementum Advisors from zero to US$4.5bn in AUM over 11 years.
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NONLINEAR UNMIXING OF VEGETATED AREAS: A MODEL COMPARISON BASED ON SIMULATED AND REAL HYPERSPECTRAL DATA Nicolas Dobigeon(1), Laurent Tits(2), Ben Somers(3), Yoann Altmann(1;4) and Pol Coppin(2.
Ben SOMERS Professor (Assistant) PhD KU Leuven, Leuven ku leuven Department of Earth
The upscaled model performed best when differences in flow lengths were taken into account for estimating the upscaled Manning's roughness coefficients. The impact of vLEs on the discharge volume was captured most accurately when the hydro-physical parameters of the sub-pixel vLEs were obtained by upslope area-based weighting, highlighting.
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DOI: 10.1016/J.ECOLMODEL.2021.109453 Corpus ID: 233627409; The impact of data quality filtering of opportunistic citizen science data on species distribution model performance @article{Eupen2021TheIO, title={The impact of data quality filtering of opportunistic citizen science data on species distribution model performance}, author={Camille Van Eupen and Dirk Maes and Marc Herremans and.
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Functions. professor Faculty of Bioscience Engineering. member of the Division SADL (Spatial Applications Division Leuven) member of LBI - KU Leuven Brain Institute. member of Leuven.AI - KU Leuven Institute for Artificial Intelligence. member of LPI - KU Leuven Plant Institute. member of LUSI - KU Leuven Urban Studies Institute.
Benjamin Somers
Ben SOMERS, Professor (Assistant) | Cited by 7,358 | of KU Leuven, Leuven (ku leuven) | Read 229 publications | Contact Ben SOMERS
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Wanda De Keersmaecker, Stef Lhermitte, Laurent Tits, Olivier Honnay, Ben Somers, Pol Coppin, A model quantifying global vegetation resistance and resilience to short‐term climate anomalies and their relationship with vegetation cover, Global Ecology and Biogeography, 10.1111/geb.12279, 24, 5, (539-548), (2015).
Benjamin Somers
Ben M Somers lives in Tomahawk, WI. They have also lived in Cambridge, VT. Ben is related to Devon Nathaniel Somers and Michael J Somers as well as 3 additional people. Phone numbers for Ben include: (715) 453-5174. View Ben's cell phone and current address. 2 . Benjamin P Somers 's address was 415 W Superior St Apt 400, Chicago, IL. They have.
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Publication Date: Apr 19, 2009 Research Interests: Mixed Effects Models, Root-Mean Square Error, Spectral Mixture Analysis, Multiple Scattering, Management Practice, and 2 more Linking NDVI and climate-based ecosystem stability with land cover in Europe by Ben Somers Publication Date: Jul 1, 2014
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Model Validation and First Results Ben Somers, Laurent Tits, and Pol Coppin Abstract Our understanding of nonlinear mixing events in vegetated areas is currently hampered by a pertinent lack of
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The model training records consisted of unstructured presence-only data, a data type found in many large-scale datasets of opportunistic species records (e.g. GBIF, https://www.gbif.org). Model training records were subjected to the three quality filters and their combinations, resulting in seven filtered datasets (Fig. A.2).