A5071137974- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- African Botany and Ecology Studies
- Ecology and Vegetation Dynamics Studies
- Soil and Land Suitability Analysis
- Land Use and Ecosystem Services
- Leaf Properties and Growth Measurement
- Ecosystem dynamics and resilience
- Effects of Environmental Stressors on Livestock
- Forest Ecology and Biodiversity Studies
- Botany and Plant Ecology Studies
- Fire effects on ecosystems
- Quality and Supply Management
- Remote Sensing and Land Use
- Species Distribution and Climate Change
- Plant Water Relations and Carbon Dynamics
- Animal Disease Management and Epidemiology
- 3D Surveying and Cultural Heritage
- Agriculture and Farm Safety
- Advanced Manufacturing and Logistics Optimization
- Agriculture Sustainability and Environmental Impact
Swedish University of Agricultural Sciences
2023
South Dakota State University
2014-2018
RMIT University
2012
University of Twente
2012
Hyperspectral remote sensing enables the large-scale mapping of canopy biochemical properties. This study explored possibility retrieving concentration nitrogen, phosphorus, potassium, calcium, magnesium, and sodium from mangroves in Berau Delta, Indonesia. The objectives were to (1) assess accuracy foliar chemistry retrieval, (2) compare performance models based on support vector regression (SVR), i.e. ϵ-SVR, ν-SVR, least squares SVR (LS-SVR), partial (PLSR), (3) investigate which spectral...
Abstract. Vegetation structure in water-limited systems is to a large degree controlled by ecohydrological processes, including mean annual precipitation (MAP) modulated the characteristics of and geomorphology that collectively determine how rainfall distributed vertically into soils or horizontally landscape. We anticipate woody canopy cover, crown density, size, level spatial aggregation among plants landscape will vary across environmental gradients. A high plant most distinct periodic...
Abstract Aim The aims of this study were to (1) estimate current rates woody encroachment across African savannas; (2) identify relationships between change in cover and potential drivers, including water constraints, fire frequency livestock density. found led us pursue a third goal: (3) use temporal dynamics cover. Location Sub‐Saharan savannas. Methods used very high spatial resolution satellite imagery at sites with overlapping older (2002–2006) newer (2011–2016) We sampled 596 38...
The estimation of species composition and species-specific stem volumes are critical components many forest inventories. use airborne laser scanning with multiple spectral channels may prove instrumental for the cost-efficient retrieval these variables. In this study, we scanned a boreal using two channels: 532 nm (green) 1064 (near infrared). data was used in two-step methodology to (1) classify species, (2) estimate volume at level individual tree crowns. classification pines, spruces...
In this study, we compared the classification accuracy at plot-level of three tree species in a boreal forest using deep learning (DL) network applied to very high resolution (VHR) ALS data acquired with ~593 points/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , or linear discriminant analysis (LDA) method dual-wavelength (DW) data, ~80 .The methods were single trees, which aggregated (10 m radius) where majority class was used for...
Abstract. Vegetation structure in water-limited systems is to a large degree controlled by ecohydrological processes, including mean annual precipitation (MAP) modulated the characteristics of and geomorphology that collectively determine how rainfall distributed vertically into soils or horizontally landscape. We anticipate woody canopy cover, crown density, size, spatial distribution plants landscape, will vary across environmental gradients. Exploring these trends can extend our knowledge...
Event Abstract Back to Distribution and trends of pig production in China 2007-2017 Qingyou Zhao1*, Christoffer Axelsson1*, Jean Artois1, Timothy.p Robinson2 Marius Gilbert1* 1 Spatial Epidemiology Lab, Free University Brussels, Belgium 2 Food Agriculture Organization the United Nations (Italy), Italy Driven by population growth increasing incomes, demand for animal-source foods developing countries is growing rapidly. Among different sources animal food, pork most commonly consumed. China,...
Event Abstract Back to Long-term spatial projections of global ruminant distribution 2015 – 2050 Christoffer Axelsson1*, Daniele Da Re2, Giuseppina Cinardi3, Qingyou Zhao1, Sophie O. Vanwambeke2, Timothy P. Robinson3 and Marius Gilbert1 1 Free University Brussels, Belgium 2 Earth Life Institute, Catholic Louvain, 3 Food Agriculture Organization the United Nations (Italy), Italy The livestock (cattle, goats sheep) will strongly influence human environmental health in coming decades, with...
Event Abstract Back to Toward a time-series of global livestock data over 2000-2015 Daniele Da Re1*, Christoffer Axelsson2, Giuseppina Cinardi3, Timothy P. Robinson3, Sophie O. Vanwambeke1 and Marius Gilbert2 1 Earth Life Institute, Catholic University Louvain, Belgium 2 Spatial Epidemiology Lab, Free Brussels, 3 Food Agriculture Organization the United Nations (Italy), Italy High spatial temporal resolution information on environmental drivers (e.g. climate, primary productivity) are...