39TH CANADIAN SYMPOSIUM ON REMOTE SENSING

JUNE 19-21, 2018 SASKATOON, SK

 

NEW ERA IN REMOTE SENSING TECHNOLOGY

Summer School

June 18, 2018, Saskatoon, Saskatchewan

Presentations

Summer School participants may contact the CRSS-SCT for a copy of the presentations.

  • PROSPECT – A Closer Look , Prof. Scott Noble
  • Utilizing UAVs for Imaging Small Plot Field Crop Experiments, Prof. Steve Shirtliffe (Due to the size, you will need to download to view the PDF file)
  • Monitoring and modeling river ice processes using remote sensing data, Prof. Karl-Erich Lindenschmidt
  • Use of Optical and Radar Remote Sensing for Envionmental Applications: Theory, Prof. Brigitte Leblon
  • An overview of 20 years of research at UNB (Fredericton, Canada) on fuel moisture estimation using remote sensing in bereal forest in Alberta, the Northwest Territories, and Alaska, Prof. Brigitte Leblon
  • SAR for Dynamic Soil Moisture and Contributing Drainage Area Monitoring, Dr. Zhaoqin Li
  • Challenges on Measuring Non-Photosynthetic Vegetation in Grassland with Remote Sensing, Prof. Xulin Guo
Our participants

Thank you to the particpants who attending this year’s Summer School.

Here are other versions of the photo of the participants:

Photo 1, Photo 2, Photo 3, Photo 4, photo 5 & Photo 6.

Location

National Hydrology Research Centre
11 Innovation Boulevard
Saskatoon, Saskatchewan, Canada
S7N 3H5
Room NHRC-1-1261

Objectives

The Summer School aims at providing to the participants the opportunity to gain knowledge about applications of various remote sensing technologies in several domains that are given by several remote sensing experts. This year, it has a particular focus on the Saskatchewan remote sensing community.

Agenda

8:30 am

Welcome (Prof. Brigitte Leblon)

8:45 am

Monitoring & modeling river ice processes using remote sensing data (Prof. Karl-Erich Lindenschmidt, U Saskatchewan, SK)

9:45 am

Challenges on measuring non-photosynthetic vegetation in grassland with remote sensing (Prof. Xulin Guo, U Saskatchewan, SK)

10:45 am

Health break

11:00 am

Use of optical and polarimetric / compact polarimetric radar remote sensing for fire danger and wetland mapping – Presentation of an Online course for radar remote sensing training (Prof. Brigitte Leblon & Dr. A. LaRocque, U. of New Brunswick, NB)

12:00 am

Utilizing UAVs for Imaging Small Plot Field Crop Experiments (Prof. Steve Shirtliffe, U Saskatchewan, SK)

1:00 pm

Lunch break

1:30 pm

SAR for dynamic soil moisture and contributing drainage area monitoring (Dr. Zhaoqin Li, U Saskatchewan, SK)

2:30 pm

Modelling leaf optical properties: a closer look at PROSPECT (Prof. Scott Noble, U Saskatchewan, SK)

3:30 pm

Health break

3:45 pm

Use of optical and SAR image for wetland and land cover mapping (Dr. Armand LaRocque (U. of New Brunswick, NB)

4:45 pm

Wrap-up – Degree presentation – Picture (Prof. Brigitte Leblon)


Lecturer biographies

  Prof. Karl-Erich Lindenschmidt is an associate professor at the University of Saskatchewan. His main research areas are (i) river ice monitoring and modelling, (ii) surface water quality modelling and (iii) fluvial geospatial modelling and he has published extensively in all three fields. He holds a Bachelor of Science in Mechanical Engineering from the University of Manitoba, a Master of Applied Science in Mechanical Engineering from the University of Toronto, a PhD in Environmental Engineering from the Technical University of Berlin and a Habilitation degree in Water Resources Management from the Brandenburg Technical University of Cottbus, Germany. Karl is originally from the Canadian prairies and worked in Europe for 16 years at several consultancies and research facilities, where he gained experience in water quality and quantity modelling of rivers and their basins such as the Elbe, Saale, Havel and Spree Rivers in Germany, including modelling in the areas of catchment hydrology, sediment and nutrient transport, groundwater hydrology, river hydraulics, eutrophication and contaminant transport and flood risk management. Before his appointment at the University of Saskatchewan, Karl was with Manitoba Water Stewardship as a Hydrologic Modelling Research Engineer where his main research foci were (i) modelling river ice processes along the Red, Assiniboine and Dauphin Rivers and (ii) geospatial modelling of geomorphological processes along the Little Saskatchewan and Birch Rivers to establish instream flow needs for fish habitat. His river ice research consists of developing new methods to process space-borne remote sensing imagery to help characterise river ice properties and behaviour. He also has extensive experience in modelling river ice freeze-up and ice jamming occurrences and carries out research to predict ice-jam flood hazard and risk. Modelling scopes include the Red, Assiniboine and Dauphin rivers in Manitoba, the North and South Saskatchewan rivers and the Qu’Appelle River in Saskatchewan, the Peace and Athabasca rivers in Alberta, the Slave River in the Northwest Territories and the Yukon and Porcupine rivers in the Yukon Territories.


Prof. Xulin Guo is a professor at Department of Geography, University of Saskatchewan, has training in forest management (BSc), forest economy (MA), and remote sensing (PhD). Her grassland study using remote sensing initiated in 1997 with her PhD work and has becoming her research field since then. Her grassland research covers 1) mapping of grassland biophysical parameters, 2) measuring and simulating leaf area indices, 3) comparing and estimating photosynthetic activity, 4) selecting the most suitable satellite imagery resolution, 5) detecting grassland heterogeneity, 6) mapping habitat for species at risk, 7) evaluating the effects of disturbance (grazing and fire) on grasslands, 8) monitoring grassland dynamics and climate change, and 9) simulating and predicting grassland health and productivity using combined process model and remote sensing techniques. Her research has recently been focused on a comprehensive understanding of grassland ecosystems, with emphasis on challenging components of non-photosynthetic vegetation and biological soil crust using remote sensing.


Brigitte LeblonProf. 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 from the Catholic University of Leuven (Belgium) and a PhD in remote sensing of the École Supérieure Agronomique de Montpellier (France). She has engaged in geoinformatics and remote sensing research for more than twenty five years and has published over 120 refereed publications. With her students, she won several prestigious awards. Dr. Leblon’s research and teaching offerings proliferated in short order, with course offerings not only in air photo interpretation, but also in remote sensing, including optical, thermal infrared, radar and radar polarimetry. Dr. Leblon pioneered the development of online courses in geoinformatics. 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 as 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 was also teaching for the University of Cape Town (South Africa) and the Geological Survey of South Africa and is a visiting professor of the Faculty of Forestry at the Albert-Ludwigs Universität of Freiburg (Germany). She is currently principal investigators in several international research projects, including one on Kruger National Park. 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#4 (Awards and Certifications).


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, Dr. LaRocque 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, Sentinel-1, ALOS-PALSAR) with optical images (LANDSAT-5 TM, LANDSAT-7 ETM+ and LANDSAT-8 OLI) for land cover, surficial geology, permafrost, and wetland mapping in Canada. He had already published more than 70 refereed publications and conference presentations. Dr. LaRocque is also a good teacher, having taught 23 different courses more than 70 times, both in French and in English. He also co-authored with Prof. Leblon several online courses in geomatics (air photo-interpretation, digital image processing and geographic information systems) and participated in numerous media interviews.


Prof. Steve Shirtliffe was raised in Manitoba where received a MSc and PhD in 90’s. For almost 20 years, He has been a professor in the Department of Plant Sciences at the University of Saskatchewan. His position involves teaching, research and extension in the areas of weed control and agronomy. Past and research current projects have focused on the crop agronomy, non-herbicidal weed control as well as phenotypic and agronomic applications of crop imaging using UAV, ground and satellite imagery.

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Prof. Scott Noble is an Associate Professor of Mechanical Engineering at the College of Engineering, University of Saskatchewan, where he teaches electrical, instrumentation, and design courses. His post-doctoral work at the University of Lethbridge involved hyperspectral imaging and methods for measuring directional reflectance for remote sensing research. His research focuses on physical measurement, spectroscopy, and imaging in agriculture and mining.

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Dr. Zhaoqin Li is a postdoc researcher at the Global Institute for Water Security (GIWS) at the University of Saskatchewan. She has been educated in Remote Sensing (PhD), Meteorology (MSc), and Agrometeorology (BSc). She has 10 years’ research experience in applying optical remote sensing data (e.g., Sentinel-2, SPOT, Landsat, MODIS, and AVHRR) and SAR data, including Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for ecosystem and water resource management.

 
Canadian Remote Sensing Society