ISPRS Workshop on Collaborative and Dynamic Land Cover Information Services Supporting UN Sustainable Development Goals
(16-17 September 2017, Jinan, China)
s ISPRS IC WG IV/III: Global mapping: updating, verification and interoperability
s National Geomatics Center of China (NGCC)
s Shandong Normal University
s NASG Research Center for Fundamental Geospatial Information
Land cover and change (LCC) is essential for a variety of societal needs, ranging from natural resources management, environmental studies, and urban planning to sustainable development. During the past twenty years, numerous LCC data products have been developed at global, national and regional levels, resulting in numerous geospatial big datasets. However, these LCC products may not meet the requirements of different users in terms of spatial detail, thematic content, accuracy, and frequency of updates. In addition, many users have difficulties to find, evaluate, and collect the appropriate LCC datasets that fit their particular application, as current online LCC information services are generally not well connected, forming de facto isolated “information islands”.
Meeting user requirements demands a Collaborative and Dynamic Land Cover Information Service. Here ‘collaborative’ refers to the integration of all available LCC related resources (including imagery and crowd-sourced data, algorithms and models) and the provision of LCC-oriented community services. ‘Dynamic’ implies the generation of LCC datasets according to specific user requirements (geographic scope and number/ types of classes) within a reasonable time limit. An operational Collaborative and Dynamic Land Cover Information Service will enable on-demand LCC information generation, facilitate efficient LCC data sharing, and enhance the value-added applications of LCC information. Critically, such a service would also greatly enhance the capacity for geospatial information to be used to monitor the United Nation’s Sustainable Development Goal (SDG) Indicators.
With significant progress made in extracting information from imagery, increased capacity of Service-Oriented Computing (SOC) and cloud-based big data processing, the development and operation of such a Collaborative and Dynamic Land Cover Information Service is becoming a key task for Earth Observation (EO) and Geo-spatial communities. This requires identifying and examination of scientific and technical challenges, improving our understanding and capacity related to a collaborative and dynamic LCC information service, and developing and delivering operational platforms to underpin global sustainable development.
Ø Workshop Objectives
The objective of this workshop, which is supported by an ISPRS Scientific Initiatives project, is to examine the scientific and technical challenges, to present the latest developments on collaborative and dynamic land cover information services, to stimulate discussion on the contribution to SDG monitoring, and explore the future collaborations. In particular, the workshop will:
s Exchange recent R&D into analysis and application of land cover information services and platforms, including the requirements, issues and challenges on the integration of existing LCC web services and the on-demand generation of LCC datasets;
s Promote international cooperation on collaborative and dynamic land cover information services to better meet the needs of United Nation’s SDGs, including research, standardization, and implementation strategies.
Ø Main Topics
This workshop concentrates on the following topics:
s National and international initiatives and progresses in land cover mapping and change monitoring;
s Concepts, tools, and processes for land cover information services and platforms to meet various analysis and application needs;
s Online management and processing of large volumes of LCC data using machine learning, big data analytics, cloud computing and other technologies;
s Auto/semi-automatic online processing, analysis, validation and updating of LCC and other EO data;
s Developments and applications of LCC information service to support United Nation’s SDG Indicators with geospatial information and EO;
Registration information will be available soon.
Ø Venue and Accommodation
Venue: International Exchange Center, Shandong Normal University
Accommodation: Han Lin Hotel of Jinan, Tenth Road No. 16787, Lixia District, Jinan
Ø Important Dates
Deadline for submission of extended abstracts: 1 July, 2017.
Notification of acceptance of abstracts: 15 July, 2017.
Dr. Hao Wu,
Add.: National Geomatics Center of China,
28 Lianhuachi West Road, Haidian District, Beijing100830, China
Dr. Hanfa Xing
Add.: College of Geography and Environment, Shandong Normal University,
88 Cultural East Road, Lixia District, Jinan 250014, Shandong, China
Jinan is the capital of Shandong province in Eastern China. It covers an area of 8227 square kilometers with a population of more than seven million inhabitants. Since the earliest beginnings of civilization, Jinan has played an important role in history and has evolved into a major national administrative, economic, and transportation hub. Jinan is often called the "Spring City" for its famous 72 artesian springs. It is renowned across the world for the Baotu Spring, Daming Lake and Qianfo Mountain. Shandong has a long and brilliant history, including the hometown of Confucius, with famous sites comprising the Temple of Confucius, the Cemetery of Confucius, and the Kong Family Mansion, which are only approximately 100 kilometers from Jinan.