The 2017 ISPRS Student Consortium and Working Group V/5 Summer Schools
by Sheryl Rose Reyes (comments: 0)
The ISPRS Student Consortium and Working Group V/5 are announcing this year's summer schools. We are pleased to inform you that there will be 3 summer schools: 2 summer schools in Latin America and 1 summer school in Asia.
Brazil: YP&SS - IEEE/GRSS-Young Professionals & 16th ISPRS Working Group V/5 and Student Consortium Summer School 2017
This is a joint event organized by Brazilian Universities with support and funding from two scientific societies IEEE - Geoscience and Remote Sensing Society (GRSS) and the ISPRS - International Society for Photogrammetry and Remote Sensing.
Since recently, the collection of both airborne and terrestrial LiDAR data acquired over a range of environments has been increasing considerably. Although providing an unprecedented amount of data, there is consensus that the tools/techniques for extracting useful information from these datasets as well as the use of proper multivariate statistical methods are still lacking. Additionally, LiDAR fundamentals and data processing as well as advanced multivariate statistical analysis are topics usually not covered in detail in both undergraduate and graduate Remote Sensing courses, both worldwide and specifically in Brazil. The goal of this joint event entitled “ISPRS Summer School and IEEE/GRSS Young Professionals 2017” is to expose young professionals to new LiDAR processing and multivariate statistics techniques and to develop a vision for enhancing their own professionals and research careers using LiDAR and multivariate statistics. Employing a combination of instruction, hands-on tutorials, and group discussion, both events will provide an excellent opportunity for learning about the state-of-the-art of both LiDAR processing and advanced multivariate statistic techniques as well as the interaction and networking with an engaged, as well as foster a network of engaged, multi-disciplinary group of young researchers.
Dates: October 2 - 6, 2017
India: Geo-Processing Tools and Technologies in Citizen Science
Citizen science in today’s scenario have become a valuable approach, wherein scientific data for understanding the underlying phenomenon could be collected by volunteers/non-specialist within a quick possible time. It also enables volunteers to meaningfully participate under different level of hierarchies in citizen science. Advancements and convergence of technologies (Information and communication technologies (ICT)), especially the Internet, Web 2.0 and mobile technology has further assisted in such endeavor, not to mention the location sensors (GPS) and camera which enables citizen to collect geotagged data including field photograph. Nowadays, citizens/volunteers play an important role by working as “sensors” on the ground, helping government/institutions by collecting and analyzing data. It is being used worldwide for policy advocacy, e-government, and e-democracy. Further it was found extremely useful in recent disasters like Haiti earthquake, 2010 and Nepal earthquake 2015 wherein it assisted towards rescue and relief efforts. Wikipedia “the free encyclopedia” (www.wikipedia.org) is classic example, wherein volunteers create and edit content. Similarly in geospatial domain OpenStreetMap project is available where volunteers contributes in mapping of whole world (www.openstreetmap.org).
The ISPRS summer school on “Geo-Processing Tools and Technologies in Citizen Science” shall provide an overview of evolving domain of citizen science, enabling geospatial tools and technologies along with use cases and focus on the data collection, quality control and analysis issues on citizen science projects. Moreover it shall cover different aspects and challenges of citizen science and use of geo-processing tools to increase citizen’s participation and improving quality of collected data. Summer School shall cover following broad topics:
- Citizen Science: Prospects and Challenges
- Citizen science projects at local and global scales
- Free and Open Source Geospatial (FOSS4G) solutions for crowdsourcing
- Data collection and analysis in citizen science projects using geo-processing tools
- Quality control methods for geographically enabled data and integration of data from different sources
Dates: October 30 - November 3, 2017
Chile: Land Cover Assessment and Monitoring Using Google Earth Engine
Apart from climate, one of the most important components of global change is the change in land use and land cover (LULC). LULC change detection is a key task for better understanding landscape dynamics and sustainable management planning. Mapping and monitoring LULC has become one of the most important applications of remote sensing (RS). Today, we face an unprecedented amount of public RS data and new tools are already available to transform it into useful information. Google Earth Engine (GEE) is a cloud computing platform for processing RS data that provides access to a large collection of satellite imagery and the necessary computational power to analyze them. This summer school will focus on the use of machine learning algorithms to classify Landsat images using GEE to produce land cover maps and monitor change in time.
The workshop will be organized in three parts, each one having a theory lecture and hands-on-computer practice:
- Bases for LULC mapping using RS data and presentation of GEE.
- LULC classification techniques and implementation in GEE.
- LULC change detection and implementation in GEE.
Dates and website will be announced soon.