Human activities on the Earth’s surface continue to accelerate, where future impacts in terms of deforestation, biodiversity, climate and social-economic processes are still far from known.
Monitoring and modelling these processes is increasingly carried out within a multidisciplinary approach where remote sensing and geo-information science plays a key role, providing processing and analysis of spatially explicit information at scales varying from local to global.
As a multidisciplinary group, the Laboratory for Geo-information Science and Remote Sensing links to various scientific fields to study, understand and manage human impact on landscapes, ecosystem services and to support sustainable and climate-friendly future developments. Within this theme we focus on three main topics:
- Development of novel approaches for the assessment of land change dynamics on multiple scales;
- Integration of earth observation data and products in interdisciplinary research, models and applications;
- Monitoring and modelling the influence of climate and humans on terrestrial ecosystems.
Dedicated research activities are ongoing in the real-time monitoring of global deforestation and forest degradation, precision agriculture, tracking of forest carbon, land use change and greenhouse gas emissions, remote sensing support for ecological modelling, and mapping and assessment of soil properties.
- Michael Schultz: Improving the accuracy of high spatial and temporal resolution forest change mapping using reliable reference data bases to support REDD
- Maria da Conceição Pereira: Linking REDD+ monitoring and implementation in forests and agriculture of Southern Africa
- Marcio Sales: Pre-Assessment of the value of remote sensing derived data for reducing uncertainty about carbon emissions estimation in Brazil
- Eskender Beza: GAPMonitor: Developing global community-based crowdsourcing approaches to support monitoring and assessment of yield gaps
- Eliakim Hamunyela: Spatio-temporal approaches for satellite monitoring of global forest change dynamics
- Sarah Carter: Integrated monitoring for estimating GHG emissions from forests and agriculture in tropical countries
- Jose Gonzalez de Tanago: Improving GHG emission factors for various forest change processes
- Lorenzo Vita: Dynamics of land use change and the consequences on forest characteristics: the case of Mau Forest, Kenia
- Valerio Avitabile: Improving pan-tropical forest biomass mapping: a fusion approach
- Kathleen Neumann (VENI grant): Rural migration and environmental degradation: A vicious cycle?
Recently finished PhDs:
Multidimensional remote sensing based mapping of tropical forests and their dynamics
University. Promotor(en): Martin Herold, co-promotor(en): Lammert Kooistra; Lourens Poorter. - Wageningen : Wageningen UR - ISBN 9789462578906 - p.
Global land cover map validation, comparison and integration for different user communities
University. Promotor(en): Martin Herold, co-promotor(en): Sytze de Bruin. - Wageningen : Wageningen University - ISBN 9789462577817 - p.
Monitoring tropical forest dynamics using Landsat time series and community-based data
University. Promotor(en): Martin Herold, co-promotor(en): Lammert Kooistra; Jan Verbesselt. - Wageningen : Wageningen University - ISBN 9789462574762 - p.
A data-driven reconstruction of historic land cover/use change of Europe for the period 1900 to 2010
University. Promotor(en): Martin Herold, co-promotor(en): Peter Verburg; Jan Clevers. - Wageningen : Wageningen University - ISBN 9789462574632 - p.
Interactive community-based tropical forest monitoring using emerging technologies
Wageningen University. Promotor(en): Martin Herold, co-promotor(en): L. Ribbe; Sytze de Bruin; Valerio Avitabile. - Wageningen : Wageningen University - ISBN 9789462574786 - p.
Combining SAR and optical satellite image time series for tropical forest monitoring
Wageningen University. Promotor(en): Martin Herold, co-promotor(en): Dirk Hoekman; Jan Verbesselt. - Wageningen : Wageningen University - ISBN 9789462573130 - p.
Analysis of vegetation-activity trends in a global land degradation framework
Wageningen University. Promotor(en): Michael Schaepman, co-promotor(en): Sytze de Bruin. - [S.l. : S.n. - ISBN 9789461733122 - p.
An integrated pan-tropical biomass map using multiple reference datasets
Global Change Biology 22 (2016)4. - ISSN 1354-1013 - p. 1406 - 1420.
Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series
PLoS One 11 (2016)3. - ISSN 1932-6203
Combining satellite data for better tropical forest monitoring
Nature Climate Change 6 (2016)2. - ISSN 1758-678X - p. 120 - 122.
Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 20002005 in the tropics
Biogeosciences 13 (2016)14. - ISSN 1726-4170 - p. 4253 - 4269.
Combining satellite data and community-based observations for forest monitoring
Forests 5 (2014)10. - ISSN 1999-4907 - p. 2464 - 2489.
Fusion of pan-tropical biomass maps using weighted averaging and regional calibration data
International Journal of applied Earth Observation and Geoinformation 31 (2014). - ISSN 0303-2434 - p. 13 - 24.
Good practices for estimating area and assessing accuracy of land change
Remote Sensing of Environment 148 (2014). - ISSN 0034-4257 - p. 42 - 57.
Pan-arctic climate and land cover trends derived from multi-variate and multi-scale analyses (1981-2012)
Remote Sensing 6 (2014)3. - ISSN 2072-4292 - p. 2296 - 2316.
Synthesis and Review: Advancing agricultural greenhouse gas quantification
Environmental Research Letters 9 (2014)7. - ISSN 1748-9326 - 7 p.
A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe
Biogeosciences 10 (2013). - ISSN 1726-4170 - p. 1543 - 1559.