›SAR data for land applications in Vietnam
The creation of the International Centre for Interdisciplinary Science Education (ICISE) in the city of Quy Nhon (Central Vietnam) has the ambitious objective to focus on developing Science and Education by fostering exchanges between Asia-Pacific scientists and colleagues from other parts of the world.
Remote Sensing for Earth Observation has become a scientific priority in Vietnam for the next decades. In this perspective and at the conclusion of a workshop organized by the « Space and Aeronautics » department (S&A) of USTH (University of Science and Technology of Hanoi) on March 15 to 17, 2017, « Rencontres du Vietnam » and USTH decided to organize an annual Summer school dedicated to Earth Observation by satellites. A large amount of free of charge data relating to observations of Vietnam from space is available and can be used by Vietnamese institutions. Initiatives to facilitate access to « Analysis ready data » for the Vietnamese community, such as the CEOS DataCube center at VAST/VNSC, have already been taken and will be pursued in the next coming years.
To contribute to the training of the Vietnamese scientific community, the Vietnam School of Earth Observation (VSEO) is held every year at the ICISE center at Quy Nhon in the framework of the Rencontres du Vietnam with the decisive contributions of French institutions and expertises (including CNES, CNRS, Paris Observatory and Université de Paris, Paris-Est Créteil and Montpellier universities) and the University of Science and Technology of Hanoi (USTH).
- Jean Tran Thanh Van (Rencontres du Vietnam – ICISE)
- Yannick Giraud-Héraud (USTH/SA – Rencontres du Vietnam)
VSEO3 – SAR data for land applications in Vietnam (with focus on monitoring of changes due to climate and human impacts)
September 7-11, 2020,Quy Nhon, Vietnam
Vietnam is among the countries the most affected by climate change due to the high concentration of population, and a heavy dependence on agriculture, natural resources and forestry. In the forthcoming decades, changes in land use/land cover, in agriculture and in forestry are expected to be important to meet rising demands of the increasing population, against the background of the threats of climate change. Observation systems are required to provide information on land surface, at spatial scale from local to national, for crop and forestry management, for early warning, for GHG emission estimations, and for future projection of the climate and human impacts. With an increasing number of Earth Observation satellites, to observe land surfaces with a diversity of remote sensing data has become effective. However, for tropical countries such as Vietnam, the use of optical data is limited by the frequent cloud cover. Instead, SAR (Synthetic Aperture Radar) systems with their all weather capacity can provide systematic observations required for land monitoring.
Since the launch of the European Sentinel-1 satellites in 2014, SAR data are available and free of charge over Vietnam, every 12 (or 6 days), and at a spatial resolution of 10 m (20 m). Compared to optical data, these SAR data are not yet widely used. The reasons often rely on the difficulties in data processing, analysis and interpretation.
The summer school will provide knowledge, methods and open source software to participants for initiation/ advancement on the use of available and free of charge SAR data in their thematic studies. Lectures will be provided on the introduction to SAR remote sensing, on the physical content of SAR data and statistical properties of SAR images. Theory and practical will be given in SAR data preprocessing prior to the applications. Among the applications, the School will focus on agriculture (rice), forestry, and land use/land cover.
For each application, an introduction will be given on the information requirement. This will be followed by theory and practicals on the use of SAR data for the application.
For rice monitoring, the introductory lecture will be on food security, climate change, and GHG emissions. Sentinel-1 data will be used for rice crop monitoring in Vietnam.
For forest monitoring, a lecture will be given on the related carbon cycle, biomass estimations and deforestation. Sentinel-1 data (and ALOS PALSAR data) will be used in the practicals.
Lectures on landuse/land cover classification will be given, and the practicals will be based on both SAR data (Sentinel-1) and optical data (Sentinel-2).
Lectures will be delivered in English by international experts in the field. Participants will be able to present their own research (oral and/or poster). The school is addressed to all Vietnamese researchers and data users (at Master or PhD levels) interested in the use of SAR data for land applications. There will be opportunities to establish research collaborations between participants and lecturers, sharing ideas and discussions on new research topics in Vietnam.Tweets by spaceagenda