(2) The Spatial Exchange Program

The activity is envisioned as a pioneering collaboration among the organizations involved, which aims to strengthen the linkages between students and young professionals with prominent professors and experts in the profession leading to future collaborations. The program aims to increase the mobility of future experts and leaders in the fields of remote sensing, photogrammetry and spatial information sciences. This event will be organized right after the summer school for 8 days during 13 – 20 August 2018 and invited lecturers or mentor will also be considered as the visiting researchers. The target number of participants is from 12 to 16 individuals.

The Spatial Exchange Program will be implemented by inviting international professors and local experts as major mentors for mini project or special problem of participants under leaning by doing concept and will be overseen by the board members of the ISPRS SC and WG V/5. Applications for the program will be opened to students and young professionals and researchers, with priority given to applications from developing countries. Applicants are requested to express your interested topic in application form related with 4 special topics as below but will not be limited to the following trends in remote sensing and spatial information sciences. Mini project will be implemented under supervision of local experts utilized GISTDA facilities follow with presentation on the last day.

  • Field Methods in Sustainability Science: Mapping Using UAVs

The United Nations 2030 Agenda, more popularly known as the Sustainable Development Goals (SDGs), consists of 17 goals and 169 targets that aim to end poverty, protect the planet and ensure prosperity for all. The potential of using remote sensing technology in achieving these goals are continuously being explored and field methods are being established. Drones are cost-effective equipment that can aid in mapping the environment. The possibilities of using unmanned aerial vehicles (UAVs) for addressing the SDGs are the focus of this topic.

  • A Synergistic Approach on Mapping Using Remote Sensing and GIS

With the evolution of technology, different kinds of satellite imageries are now being collected by various satellite missions. In the past, data scarcity used to be one of the major challenges, but in the present, the era of big data has arrived. How do we make use of different satellite imageries and is it possible to develop a robust synergistic approach on mapping using remote sensing and GIS? This topic aims to explore which satellite imageries can be used in addressing scientific and societal issues and to develop a potential methodology on how to improve results through a synergistic mapping approach.

  • Communicating Science: How Can We Use Maps to Tell Stories?

As scientists and researchers, one of the major challenges for the youth and even the scientific community is how to communicate science to the public and how do we translate these scientific results into stories that can help people understand the issues in the society that we are trying to address. Maps are often used as visuals but in this changing world, maps can help tell the world stories – from how the land cover changes, how trees breathe in different seasons and how the oceans change in color – and what are their implications in our daily life and our future. This topic aims to train students and young professionals in communicating science through the World Wide Web, through presentations (both technical and non-technical), using social media and writing articles.

  • Geo-Bigdata for disaster management

Smart mobile phone, Social media, Artificial Intelligence (AI) and Internet of Things (IoT) are driving data complexity, new forms and sources of data. Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media – much of it generated in real time and in a very large scale. The term “Geo-Bigdata” refers to the collection of all these data with geo-location information and applied this data to our advantage across a wide range of areas, including environment and disaster monitoring, social problem and business. This topic aims to increase capacity Geo-Bigdata analysis for students and young professionals to get suitable information for disaster management issue.