In response to prevailing classification inconsistency between land cover maps, developed by different organizations in different times at different scales, an object-based National Land Representation System (NLRS) for Bangladesh has been developed. The process, which began in 2013 and was completed in 2016, brought together several national organizations and involved an extensive process of consultation, data collection, translation, and analysis of existing land cover/use classification systems. The process focused on the interpretation of three legends from historic national land cover/use maps. Field inventory data were collected from over 1000 sites across the country to assist the process of land characterization and the development of a dynamic and representative overview of land cover and land use in Bangladesh. The system has been applied to the development of a wall-to-wall national land cover map for the year 2015. In this article, the methodological process and results of NLRS formulation and land cover map 2015 are presented. We also provide examples of how this interoperable system and the land cover dataset are being used for variety of applications including national forest resources assessment, estimation of REDD+ activity data, integration of biophysical and socioeconomic information, and semantic similarity assessment.
• Different organizational and technical challenges emerge at different phases of VGI adoption in government. • Challenges occur throughout the development process; however, many of them resolve with time and experience. • Using VGI in government requires improved practices within the phases of initiation, implementation, and expansion. With the recent rise of open government and open data initiatives, governments are increasingly adopting new approaches of citizen participation to support a more democratic, transparent, and inclusive government system. Among other forms of citizen participation, Volunteered Geographic Information (VGI) is one approach to connecting citizens and government. Accepting VGI as a way to update government data or collect near-realtime information from citizens can create a partner-like relationship where citizens voluntarily contribute time and effort to support government actions. However, as a relatively new approach to citizen participation and data collection, VGI requires evaluation from the perspective of governments. This research investigates the challenges and opportunities that governments have found through the implementation of VGI projects. Results are drawn from interviews conducted with 19 government organizations, revealing organizational and technical challenges that limit the adoption of VGI. Organizational challenges are associated with government mindset, implementation, and project management, while technical challenges involve development of the system and quality of data. Given these challenges, we derive recommendations within the phases of project initiation, implementation, and expansion that can foster VGI adoption in government.
Recent government initiatives like e-government and open government have led to broader adoption of geospatial tools including mapping platforms to access, use, and analyze open data. These advancements open channels for coproduction in the form of sharing information, change notifications, opinions, or requests to government, based on citizen observation and local knowledge. Though current government initiatives have substantial potentials for coproduction, the practical adoption and implementation of such practices vary reflecting the purposes, contexts, and motivations of those involved. This paper aims to understand how local governments are following different approaches to coproduce information with citizens and what motivates local governments in this process. We report findings based on interviews with 11 cities from the USA and Canada, which reveal four main approaches: the collection of new data, observation of changes, collection of opinions, and observation of preferences involving both explicit and implicit processes. Although these four approaches result from interactions between citizens and government, our findings also indicate a key role to be played by technology and partner organizations.
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