Earth Observation Summit 2017
June 19, 2017, Montréal (Canada)
The Summer School aims at providing to the attending participants the opportunity to gain knowledge about applications of various remote sensing technologies in several domains that are given by seven experts in their area.
8:45 to 9:00 – (English & French) Welcome (Prof. Brigitte Leblon)
9:00 to 10:05 – (English) Use of optical and radar remote sensing for environmental applications – Presentation of an Online course for radar remote sensing training (Prof. Brigitte Leblon & Dr. A. LaRocque, U. of New Brunswick, NB)
10:05 to 10:15 – Break
10:15 to 11:15 – (English) Drones in the service of the agriculture sector (Prof. Karem Chokmani, INRS-ETE, QC)-English
11:15 to 12:15 – (French) Visible, near-infrared and thermal hyperspectral imagery in urban areas (Prof. François Cavayas, U de Montréal, QC)
12:15 to 13:15 – Lunch
13:15 to 14:15 – (English) SAR-EDU – An Education Initiative for Applied Radar Remote Sensing on behalf of DLR (Prof. Christiane Schmullius, Friedrich-Schiller-University Jena, Germany)
14:15 to 15:15 – (English) Remote sensing of vegetation (Prof. Angela Kross, Concordia U., QC)
15:15 to 15:30 – Break
15:30 to 16:30 – (English) Hyperspectral image analysis – examples from the Mer Bleue Arctic Surrogate Simulation Site (Prof. Margaret Kalacska, McGill U., QC & Dr. Pablo Arroyo, NRC, Government of Canada)
16:30 to 17:00 – (English & French) Wrap-up – Degree presentation – Picture
Presentation material is in both English and French. Presentation language as indicated above.
Dr. Brigitte Leblon
Dr. Brigitte Leblon is professor of remote sensing at the Faculty of Forestry and Environmental Management, University of New Brunswick (UNB), Canada. She holds an Agricultural Engineer degree of the Catholic University of Leuven (Belgium) and a PhD in remote sensing of the École Supérieure Agronomique de Montpellier (France). She has engaged in geomatics and remote sensing research for more than twenty five years and has published over 200 refereed publications (including five book chapters). With her students, she won several prestigious awards. Her research and teaching offerings proliferated in short order, with courses not only in photo-interpretation, but also in remote sensing, including optical, thermal infrared, radar and radar polarimetry. She pioneered the development of online courses in geomatics. Dr. Leblon’s online courses are offered not only in English, but also in French and in Spanish. The courses attract dozens of students from across Canada and around the world, from Japan to France and from USA to Australia. Dr. Leblon is also very active in university affairs, having served as the associate director of the UNB Wood Science and Technology Centre, and serving as the coordinator of the European strategy of UNB and being currently the director of TRANSFOR-M, a dual degree Master’s program in forestry and environment between Europe and Canada which got in 2014 an international award for the most innovative graduate program. She is also visiting professor at the University of Cape Town (South Africa) and the Faculty of Forestry at the Albert-Ludwigs Universität of Freiburg (Germany) and she is currently principal investigators in several international research projects. Finally, she is associate editor of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and of Canadian Journal of Remote Sensing and served as guest editor for several international journals. She is also heavily involved in the Canadian Remote Sensing Society, as vice-president, chair of the Atlantic Chapter, and chair of the working group#5 (Awards and Certifications).
Dr. Armand LaRocque
Dr. Armand LaRocque is a research associate in remote sensing at the Faculty of Forestry and Environmental Management, University of New Brunswick (UNB), Canada, as well as part-time professor of geology, physical geography and geomatics at the Université de Moncton, Canada. He holds a Bachelor of Science degree (physical geography) as well as a Master of Science degree from the Université de Sherbrooke, Canada, and a Ph.D. degree in geography from the Université de Montréal, Canada. In addition to his geomorphology and his physical geography background, he is also a specialist in air photo interpretation, remote sensing and GIS. He took part in one of the first research projects about the civil use of the SAR images in Earth’s surface mapping in Canada, as part of the first Canada’s SAR satellite mission (RADARSAT-1). His most recent research focuses on the combined use of SAR images (RADARSAT-2 and ALOS-PALSAR) with optical images (LANDSAT-5 TM, LANDSAT-7 ETM+ and LANDSAT-8 OLI) for land cover, surficial geology, permafrost, wetland mapping in Canada as well as archeological features in Mexico. He had already published more than 70 refereed publications and conference presentations. He has also an extensive teaching experience, having taught 23 different courses more than 70 times, both in French and in English. He also co-authored with Dr. Leblon several online courses in geomatics and participated in numerous media interviews.
Dr. Karem Chokmani
Dr. Karem Chokmani is a professor in remote sensing and statistical hydrology at the Centre Eau Terre Environment (water earth and environment center) of INRS (Quebec City, Canada). He holds a PhD in geomatics from Laval University (Quebec City), a M.Sc. in agriculture engineering from the same university and B.Sc. in agricultural engineering from INAT (Tunisia). Since he joined INRS in June 2007, he was committed to making a significant and original contribution to the advancement of knowledge in geomatics and statistics applied to the management and conservation of water resources. The main goal of this commitment is to develop effective decision-making tools at the cutting edge of knowledge and technology. He therefore set up a research program devoted to the development of methodologies for the estimation and monitoring of water resources. The aim of this program is to combine the synoptic quality of remote sensing data, spatial processing capacity of geomatics tools, statistical modeling and in situ observation methods. The aspects of uncertainty analysis are also taken into account. Three main areas of research are privileged: statistical hydrology, surface water quality, and agricultural geomatics and precision agriculture.
Dr. François Cavayas
Dr. François Cavayas received a degree in surveying engineering in 1976 from the National Technical University of Athens, Greece, the M.Sc. degree in photogrammetry in 1979, and the Ph.D. degree in geodetic sciences and remote sensing in 1984 from Laval University, Quebec, Canada. From 1984 to 1985, he was postdoctoral research scientist at the Canada Centre for Remote Sensing. In 1985, he joined the Department of Geography of Montreal University, where he is currently a full professor. His principal teaching expertise is in remote sensing and mapping. In 1986, with his former colleague Prof. James Gray, he founded the Laboratory of Remote Sensing, which has a significant contribution to the education and training of new generations of remote sensing scientists in Quebec, with more than forty students who have already completed their Ph.D. or M.Sc. degree under his supervision. His research expertise is in radiometric corrections of optical images and in mapping applications from remotely sensed data in various environments, especially in urban areas. Current research projects focus on the radiometric corrections of high-resolution-hyperspectral images in the optical domain, mapping of atmospheric pollutants in urban areas using satellite data, as well as on the extraction of morphological characteristics of cities using SAR interferometry and polarimetric interferometry.
Dr. Christiane Schmullius
Dr. Christiane Schmullius is professor and chairs the Department for Earth Observation at the Faculty for Chemistry and Geosciences, Friedrich-Schiller-University Jena in Germany. Her M.Sc. thesis at the Remote Sensing Lab of the Institute of Geography, University of California at Santa Barbara, focussed on Landsat-based agricultural monitoring of the Veneto region in Italy. For her PhD at the Institute of Space Sciences, Free University Berlin, she turned to radar remote sensing of crops. From 1991-2000, she headed the Geomatics-group at the Institute for Radio Frequency Technology, German Aerospace Center (DLR), and was Science Team Lead for the two NASA-DLR-ASI SIR-C/X-SAR radar shuttle missions in 1994 and DLR’s project scientist for the Shuttle Radar Topography Mission (SRTM) in February 2000. Since January 2000, she is as full professor in Jena, Germany. Prof. Schmullius developed a comprehensive remote sensing curricula for BSc students and a joint M.Sc. degree in Geoinformatics and Remote Sensing. Part of the education is training through involvement in application projects. Graduates of the Jena Earth Observation School are hired in research agencies and companies nationally and internationally. In 2010, Prof. Schmullius received the German Federal Cross of Merit for these achievements in Earth observation education. Since 2012, her department coordinates the DLR-project SAR-EDU, a joint national programme of leading radar application scientists that has resulted in over 2300 educational slides organised in 40 lessons and 12 tutorials. The material is accompanied by 8 sample data sets and 24 hours of video lectures. Recently, SAR-EDU has been extended on an ESA-grant to develop a Radar MOOC (Massive Open Online Course). Prof. Schmullius’ research focuses on terrestrial applications ranging from operational vegetation mapping (specifically biomass), land cover to soil moisture monitoring with an emphasis on radar data. She has co-authored 90 peer-reviewed articles and has written two book chapters. She is a member of DLR’s and GOFC-GOLD’s Steering Committees and had been participating in CEOS’ Carbon Task Force, ESA’s Science Advisory Committee, ESF’s European Space Science Council and the European FP7 Space Advisory Group. She is the programme chair for the International Astronautical Congress in Bremen in 2018.
Dr. Angela Kross
Dr. Angela Kross is a fulltime-faculty in Geospatial Technologies at the Department of Geography, Planning and Environment, Concordia University, Canada. She holds an Agronomic Engineering degree from the Federal University of Pernambuco, Brasil; and worked within the domain of Organic Agriculture in Brasil before pursuing her M.Sc. Degree in Geographic Information Science / Remote Sensing at the Wageningen University and Research Centre, Wageningen, Netherlands. She holds a Ph.D in Physical Geography / Remote Sensing from McGill University, Montreal, Canada. Prior to joining Concordia in August 2015, she was a postdoctoral researcher at Agriculture and Agri-Food Canada. In her research, she uses GIS and remote sensing in combination with ground measurements and models to answer questions related to ecosystem processes, vegetation development and land use change in response to anthropogenic and natural events, such as agriculture practices, mining activities and climate change. In her recent research, she has used a combination of optical, thermal and radar data to classify crop types, estimate crop biomass and estimate peatland carbon exchange. Dr. Kross is currently teaching GIS and Remote Sensing courses at Concordia University, and is in charge of the Summer GIS training program.
Dr. Margaret Kalacska
Dr. Margaret Kalacska is an Associate Professor in Geography at McGill University. She holds a PhD degree from the University of Alberta in Earth and Atmospheric Sciences with a specialization in remote sensing. Her research focuses on the application of remote sensing to environmental questions. She is particularly interested in historical land use change as well as hyperspectral data analysis at all scales from field spectroscopy to satellite imagery. She co-led the first Canadian airborne hyperspectral mission to Costa Rica (MAC13) for tropical forest carbon assessments. In her most research Dr. Kalacska is incorporating hyperspectral data at the field, UAV and airborne levels for biodiversity conservation and to quantify vegetation characteristics in aquatic, peatland and forest environments. She teaches remote sensing and GIS at McGill University.
Dr. Pablo Arroyo
Dr. Pablo Arroyo is a Research Officer at the National Research Council Canada focused on environmental applications of hyperspectral remote sensing. His past research has been highly multidisciplinary including sustainable forestry, landscape ecology; socio-economic applications of GIS and remote sensing to mention a few. He co-led the first Canadian airborne hyperspectral mission to Costa Rica (MAC13) for tropical forest carbon assessments. Dr. Arroyo’s current research encompasses a multiscale approach (bottom-up) to remote sensing aiming to integrate ground level spectroscopy to airborne hyperspectral and satellite imagery. In addition, his work explores the use of UAV hyperspectral as a mean to explain local to landscape patterns (e.g. vegetation, biodiversity, biochemical processes).