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Researcher
Stien Heremans
- Disciplines:Physical geography and environmental geoscience, Ecology, Environmental science and management, Other environmental sciences, Landscape architecture, Communications technology, Geomatic engineering, Forestry sciences, Art studies and sciences
Affiliations
- Forest, Nature and Landscape (Division)
Member
From1 Aug 2020 → Today - Division of Forest, Nature and Landscape (Division)
Member
From1 Sep 2009 → 31 Jul 2020
Projects
1 - 3 of 3
- Unlocking the climate change mitigation and adaptation potential of domestic gardensFrom6 Dec 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Deep learning for environmental monitoring by transforming earth observation data into geo-indicatorsFrom7 Dec 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Machine learning techniques for estimating crop areas at the sub-pixel level.From1 Oct 2009 → 7 Dec 2015Funding: IWT personal funding - strategic basic research grants
Publications
1 - 10 of 23
- Winter crop monitoring with "temporally-aware" machine learning and deep learning methods(2023)
Authors: Stien Heremans, Margot Verhulst, Ben Somers
- Assessing the effect of sample bias correction in species distribution models(2022)
Authors: Stien Heremans
- Urban land cover mapping with Sentinel-2: a spectro-spatio-temporal analysis(2022)
Authors: Stien Heremans, Ben Somers
- Pan-European urban green space dynamics: A view from space between 1990 and 2015(2022)
Authors: Stien Heremans, Ben Somers
- Pan-European urban green space dynamics: A view from space between 1990 and 2015(2022)
Authors: Fei Xu, Stien Heremans, Ben Somers
- Beyond land cover: How integrated remote sensing and social media data analysis facilitates assessment of cultural ecosystem services(2022)
Authors: Stien Heremans
- Remote Sensing and Deep Learning for Environmental Policy Support: From Theory to Practice(2021)
Authors: Stien Heremans, Margot Verhulst, Matthew Blaschko, Ben Somers
Pages: 5728 - 5731 - On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study(2020)
Authors: Oleksandr Karasov, Stien Heremans, Mart Kulvik, Artem Domnich, Igor Chervanyov
- ASSESSING THE ECOLOGICAL VALUE OF GRASSLANDS FROM SENTINEL 2: A CASE STUDY IN FLANDERS(2018)
Authors: Stien Heremans, Rob Hillen, Laura Vanierschot, Ben Somers
Pages: 2891 - 2894Number of pages: 4 - A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT(2016)
Authors: Michiel Stas, Jos Van Orshoven, Stien Heremans
Pages: 258 - 262