Activities & Events
- BEGIN seminar – Ms Mariane Souza Reis
Date: 18 May 2021
Venue: The link for the event will be sent on the morning of the 18th to those that RSVP
Please RSVP at firstname.lastname@example.org until Mon 17th of May to receive the link.
Land cover and land change mapping using Synthetic Aperture Radar data in Amazon
Monitoring land use and land cover changes in the Brazilian Amazon has become a relevant scientific topic, with different remote sensing operational systems being designed to monitor the region over time. However, the majority of these projects are based on optical data, which are strongly affected by clouds, smoke, and other weather and atmospheric conditions. In areas like the Brazilian Amazon, where cloud cover is frequent throughout the year, obtaining optical data with low cloud coverage at certain periods of the year is a difficult task. Synthetic Aperture Radar (SAR) data are obtained almost independently of weather conditions and are able to capture information about the land surface in cloud-covered areas, being strong candidates for forest monitoring. However, SAR data are more difficult to interpret and process than optical data and are freely available for short periods. In this talk, I aim to discuss some land cover and land change classification results obtained using SAR data in a region along the Lower Tapajós River, within the Brazilian Amazon, which illustrates how SAR data can be used to supply traditional optical monitoring projects.
Mariane Souza Reis received a B.S. degree in environmental engineering from the Pontifícia Universidade Católica de Campinas, Campinas, in 2011, and an M.Sc. degree in remote sensing from the National Institute for Space Research (INPE), São José dos Campos, Brazil, in 2014, where she is currently pursuing a PhD in Earth System Science. From 2014 to 2016, she held a scholarship to work with INPE in land cover monitoring with optical and Synthetic Aperture data, the collection of field information (Amazon), and the development of image processing algorithms. Her research interests include land use and land cover analysis and image processing techniques.
- BEGIN seminar – Dr Roderik Lindenbergh
Date: 20 April 2021
Venue: The link for the event will be sent on the morning of the 20th to those that RSVP
Please RSVP at email@example.com until Mon 20th of April to receive the link.
3D environmental monitoring from top to bottom
Our 3D environment is constantly changing due to natural and anthropogenic impact. For monitoring these changes several geometric remote sensing techniques are available. Among them, laser scanning is able to efficiently acquire dense elevation data at cm level. Laser scanning is available at different scales, from pocket size panoramic scanners to spaceborne systems like ICESat-2 and ISS-GEDI. In this talk, I will give an overview of different systems, and of challenges associated with processing laser scanning point clouds. The bottom of 3D environmental monitoring is represented by coastal permanent laser scanning, where a laser scanning is measuring beach topography for months in a row at hourly intervals. The top is represented by our experiences with ICESat-2 and ISS-GEDI LiDAR data over The Netherlands, the Austrian Alps and the Tibetan plateau. In between, two 3D environmental monitoring project on slow moving landslides and the Antarctic Peninsula will be discussed, where the related techniques of InSAR and photogrammetry are used.
Roderik Lindenbergh is associate professor in digital terrain analysis and laser scanning at Delft University of Technology. After obtaining his PhD in Mathematics on Geometry and Topology at Utrecht University he joined the current Dept. of Geoscience and Remote Sensing in Delft. His main interests are methodology for digital terrain analysis and terrain change detection, including machine learning and interpolation techniques, and methodology for processing laser altimetry data, at all scales, from close range panoramic scanners up to satellite systems.
- BEGIN seminar – Mr Kamil Smolak
Date: 16 March 2021
Venue: The link for the event will be sent on the morning of the 16th those that RSVP
Please RSVP at firstname.lastname@example.org until Mon 15th of March to receive the link.
Disease spread modelling
Although currently, disease spread modelling is currently a popular topic, it has been present in science for years. Starting from the differential-equations-based model presented by Bernoulli in the 18th century, through compartmental models to dynamic human mobility simulations, this presentation shows why the disease spread modelling is a fast-evolving discipline with a long history and a bright future. This presentation demonstrates in practice how disease spread models work, building up from the simple model up to more complex solutions. Finally, it shows how evolving science of human mobility can contribute to disease spread modelling.
Kamil Smolak has completed an MSc in Geodesy and Cartography at Wroclaw University of Environmental and Life Sciences (UPWr) and is a PhD student at the same university. His research interests are human mobility modelling, privacy protection, mobility prediction, and machine learning.
- BEGIN seminar – Dr Orit Peleg
Date: 16 February 2021
Venue: The link for the event will be sent on the morning of the 16th those that RSVP
Please RSVP at email@example.com until Mon 15th of February to receive the link.
The physics of firefly communications: Principles and predictions
Fireflies offer a unique and rare glimpse into animal communication. Their signal comprises a species-specific on/off light pattern repeated periodically, used by individual fireflies to advertise themselves to potential mates. Detecting individuals becomes increasingly challenging at high densities of fireflies. In this talk, I will explore how fireflies approach this problem while using physics and information-theory concepts, e.g., energetic cost and compression (minimization of bits representing information) and detectability (high signal-to-noise-ratio). The first approach involves signal amplification via synchronization within swarms containing tens of thousands of individuals. Our recent quantitative measurements of the three-dimensional spatiotemporal flashing pattern of synchronous ﬁreﬂy swarms allow us to validate a set of mathematical models that account for short-range spatial correlations and the signal’s emergent periodicity. The second approach involves the evolutionary design of light patterns with increased detectability at other individuals’ expense. Using a computational model, we observe an emergent periodicity in the resulting optimal sequences and demonstrate a method of reconstructing potential cost functions from the phylogenetic relationships of extant species alongside their characteristic flash patterns.
Orit Peleg is a broadly trained physicist with a passion for living systems. Her research is aimed at understanding how organisms buffer themselves against large environmental fluctuations and accommodate adaptation over a wide range of length and time scales. This includes protein assemblies that remain intact under varying external mechanical and chemical stimuli, beetles that navigate using volatile celestial cues, and honeybee clusters that change their morphology to both withstand mechanical stresses, and to regulate their bulk temperature. Peleg is an Assistant Professor at the Computer Science Department and the BioFrontiers Institute at the University of Colorado Boulder. She draws from a multidisciplinary background; She holds a B.S. in physics and computer science and an M.S. in physics from Bar-Ilan University in Israel. She then moved to Switzerland to get her Ph.D. in materials science at ETH Zurich, and then to Boston for a Postdoctoral fellowship at Harvard University in first chemistry, and then applied mathematics.
- BEGIN seminar – Ms Morgan Crowley
Date: 19 January 2021
Venue: The link for the event will be sent on the morning of the 19th those that RSVP
Please RSVP at firstname.lastname@example.org until Mon 18th of January to receive the link.
Mapping and analyzing Canadian wildfires in Google Earth Engine
Each year, fire seasons in forested Canada are becoming increasingly variable due to the changing climate. Earth observation data is a useful way to map these unpredictable fires as they grow across the country’s vast, fire-prone regions. However, single-date and single-sourced imagery of active fires often contain clouds, flares, smoke, and haze, creating inconsistencies when evaluating burned areas over time. In my research, I apply rapid and scalable methods to synthesize information on fire progressions using freely available satellite imagery, novel image fusion algorithms, and cloud-based data processing platforms to improve upon existing fire mapping techniques. Building upon a small prototype for one 2017 fire, I applied these data fusion methods for fire progression mapping using Landsat-7, -8, Sentinel-2, and MODIS (MCD64A1 burned-area dataset) for the 2017 and 2018 British Columbia fire seasons. Using these outputs, I calculated within-year, intra-annual fire progression metrics to compare satellite-derived fire behaviours between the 2017 and 2018 fire seasons, both at the whole fire season and the individual fire level. The ultimate target of this research is to reconstruct historic wildfire progressions, cross-validate fire behaviour models, and compare fire progression metrics between historic fires and fire seasons in Canada. These methods can provide information about active wildland fire progressions to improve our understanding of fire growth and associated drivers over space and time.
Morgan Crowley is a Ph.D. Candidate at McGill University in the Department of Natural Resources. In her research, she fuses classifications from multiple satellite sensors to map and analyze wildfire progressions and burned areas in Canada. All of her research is done in Google Earth Engine in collaboration with the Canadian Forest Service. Outside of her research, Morgan enjoys facilitating the Ladies of Landsat organization and spending time with her dog, Athena.
- BEGIN seminar – Dr Hannah Williams
Date: 08 December 2020
Venue: The link for the event will be sent on the morning of the 8th those that RSVP
Please RSVP at email@example.com until Mon 7th of December to receive the link.
Cost-efficient movement decisions in a dynamic landscape
An animal’s cost of movement is determined by a combination of locomotion and environmental energies. This is defined by their energy landscape, a heterogeneous landscape of costly slopes and substrates or beneficial water currents and airflows, where movement is more or less costly, respectively. However, in dynamic and unpredictable environments it is notoriously difficult to locate favourable flows. So how do animals inform probabilistic movement decisions for reduced movement costs? Soaring birds have evolved an obligate dependence on the energy available in airflows, gliding between updrafts as energy hotspots to gain the height needed to travel cheaply without having to use flapping flight. Using Inertial Measurement Units (IMUs) I record movement at ultra-fine scales to investigate how vultures and condors gain lift from updrafts and to identify the conditions under which they are forced to use expensive flapping flight. I then theorise that in the same way that we can ‘reconstruct’ the energy landscape (using IMUs and dead-reckoning), animals may gain up-to-date information by observing the movements of other soarers in their environment as a strategy to increase certainty in movement decisions.
My academic life started as an undergraduate in zoology at the University of St Andrews, where a project tagging killer whales with Volker Deecke and Patrick Miller brought me into the world of Bio-logging. I then went on to an MRes at Exeter University using geolocators and stable isotopes to investigate the foraging behaviour of gannets while on Migration. I completed my PhD and first postdoctoral position at Swansea University’s Laboratory for Animal Movement (SLAM) researching space-use in soaring birds. Here I focused on the use of movement sensors to quantify flight performance of vultures and condors. I am now based at the Max Planck Institute for Animal Behavior where I am investigating the use of social information to optimise movement efficiency. Again with a focus on soaring species, exploring how animals may optimise cost-efficiency of movement when moving through dynamic and unpredictable environments.
- BEGIN seminar – Dr Richard Streeter
Date: 24 November 2020
Venue: The link for the event will be sent on the morning of the 24th to those that RSVP
Please RSVP at firstname.lastname@example.org until Mon 23rd of September to receive the link.
Using UAVs (drones) to assess spatial patterns of erosion in a high-latitude rangeland, Iceland
High-latitude areas are experiencing rapid change: we therefore need a better understanding of the processes controlling soil erosion in these environments. In this talk I describe how drones were used as part of a spatiotemporal approach to investigate soil erosion in Svalbarðstunga, Iceland (66°N, 15°W), a degraded rangeland. We used three complementary datasets: (a) high- resolution unmanned-aerial vehicle imagery collected from 12 sites (total area ~0.75 km2); (b) historical imagery of the same sites; and (c) a simple, spatially-explicit cellular automata model. We found that there was no simple relationship between location along the environmental gradient and the spatial characteristics of erosion. The importance of abiotic processes to the growth of large erosion patches and their relative insensitivity to current environmental conditions makes it likely that the total eroded area will continue to increase, despite a warming climate and reducing levels of grazing pressure. I will also talk about how future research plans in this area will use UAVs.
Dr Richard Streeter is a Lecturer in Environmental Geography at the University of St Andrews. His research focusses on three main areas: volcanic ash (tephra); human-environment interactions over the Holocene, and spatial patterns of land-degradation over decades-centuries.
- BEGIN seminar – Ms Sian Green
Date: 15 September 2020
Venue: The link for the event will be sent on the morning of the 15th to those that RSVP
Please RSVP at email@example.com until Mon 14th of September to receive the link.
Using camera traps to monitor wildlife at local and national scales
Remotely activated cameras, commonly known as camera traps or trail cameras are an increasingly popular method used in wildlife research. Camera traps cause only a low level of disturbance and can be used to help answer a range of ecological questions, from occupancy and population density to movement and animal behaviour. They can be used to answer such questions at a range of spatial scales, but appropriate survey design is imperative in order to provide reliable data. Camera distribution, placement and set up can all influence the data that is collected. In this talk I will describe two examples of how camera traps can be used to answer ecological questions at very different scales, one from a short-term study of a 14km wildlife corridor in Kenya, and the other from a long-term UK wide citizen science mammal monitoring project, MammalWeb. Within this I will discuss some of the challenges faced when using camera traps for research and monitoring as well as some of solutions currently being put forward.
Sian Green an IAPETUS DTP funded PhD student in the Departments of Anthropology and Biology at Durham University, supervised by Prof. Russell Hill and Dr. Philip Stephens. I am currently working with the citizen science project ‘MammalWeb’ and my research focuses on analysing methods for camera trap data collection and public engagement. Previous work includes research on the Mount Kenya Elephant Corridor while studying for an M.Res at Southampton University.
- BEGIN seminar – Prof Ana Basiri
Date: 29 July 2020
Venue: The link for the event will be sent on the morning of the 29th to those that RSVP
Please RSVP at firstname.lastname@example.org until Tue 28th of July to receive the link.
Extracting 3D maps of cities from blockage and attenuation of Positioning signals
3-Dimensional (3D) models of cities are beneficial or even essential for many applications, including energy consumption modelling, emergency evacuation and responses, positioning and navigation (particularly for autonomous cars and drones in urban canyons), and Building Information Modelling (BIM). This talk discusses the crowdsourcing-based approach to create accurate 3D models from the blockage and attenuation of the free-to-use and globally-available data of Global Navigation Satellite Systems (GNSS) and other available signals such as WiFi. The effects of urban features, such as buildings and trees, on GNSS signals, i.e. signal blockage and obstruction, and attenuation will help to recognise the shape, size, and materials of urban features, through the application of statistical, machine learning (ML) and artificial intelligence (AI) techniques. The spatio-temporal patterns will be used for creating and updating the 3D models of cities at a high level of detail (LoDs), i.e. approximating the façade and the building materials, e.g. windows, from which the signals are reflected or have gone through. The 3D models will feed into 3D-mapping aided GNSS positioning (and integrated with other signals e.g. WiFi) which can ultimately provide more continuous and accurate GNSS positioning in urban canyons and indoors.
Professor Ana Basiri holds a chair position in Geospatial Data Science at the University of Glasgow and is a UK Research and Innovation Future Leaders Fellow, and the Editor in Chief of Journal of Navigation. Ana works on developing solutions that consider gaps, unavailability, and biases in crowdsourced data as a useful source of data. For this, she leads an interdisciplinary team and collaborates with world-leading academic and industrial partners, including Ordnance Survey GB, Uber, Alan Turing Institute, and engage with the public, policymakers and government. She has published more than 40 peer-reviewed journal papers and book chapters, chaired several conferences, and received several awards and prizes, including Women Role Model in Science by Alexander Humboldt and European Commission Marie Curie Alumni.
- BEGIN seminar – Dr Yhasmin Moura
Date: 23 June 2020
The link for the event will be sent on the morning of the 23rd to those that RSVP to email@example.com.
Please RSVP until Mon 22nd of June.
Resiliency, functioning and processes of tropical forests: A view from the above
The Amazon rainforest covers about 40% of the South American continent and is the world’s biggest tropical forest. The Amazon alone holds about 10 per cent of the world’s known biodiversity in their terrestrial, fresh water and marine ecosystems. However, they remain subject to high levels of deforestation, fragmentation, selective logging and fires. The ongoing exposure of tropical ecosystems to these anthropogenic pressures has significant consequences to biodiversity, livelihoods of local and indigenous communities, and substantial concerns about the future of tropical forests as a component of the global climate system. In this seminar, Dr. Yhasmin will be presenting her previous and current research where she is working on the development of new approaches, based on earth observation data, to access carbon dynamics and climate sensitivity of Amazonian forests. On her presentation, she will cover some of her research focusing on the understanding of forest resilience, functioning and process of Amazon forests and how this changing ecosystem will face global climate change.
Yhasmin is a Remote Sensing researcher and a love reader, whose work is inspired by ecological and environmental functioning and how natural ecosystems will face the daunting task of assessing climate change. She holds a Royal Society Newton International Fellowship at the Centre for Landscape and Climate Change, University of Leicester – UK. Her project aims to unveil vegetation functioning and carbon dynamics over degraded and secondary forests in the Amazon.