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Building of geo-spatial data model for tea agricultural crop-lands compliance with LPIS Core Model (LCM) based land administration domain standards

It is searched on building geo-spatial data model for tea agricultural croplands.It is searched tea agricultural crops integrated LCM/LADM collaboration model.We suggested building geo-spatial data model for tea agricultural croplands.We figured out configuration of integrated data model.It is expected to create data model for management of tea agricultural croplands. In the worldwide within the context of the agricultural development policies some agricultural crops are qualified as specialty agricultural crops having important leading effects on (i) food security, (ii) livelihood security and (iii) agricultural and rural development. So, in this paper, based on these criterias and because of having strategic position on national and regional agricultural development and growing under state guarantee in related countries tea agricultural crop is expected to specify as specialty agricultural crop in agricultural world today. But there is no more initiative for development of well-designed sustainable cropping systems and also for infrastructure of geo-spatial data management and tools for tea agricultural crop and cropping process as well. Thus, firstly, there is an increasing need and growing interest through providing insights in underlying drivers for tea agriculture with all facilities and actions. One of these drivers is to enable management framework of tea agricultural croplands and cropping assessment. Secondly, to determination and registration of land use rights, restrictions and responsibilities (RRR) on these croplands in a legal framework, the spatial data or spatial data management collaboration with land administration domains is required as a major tool for enabling both sustainable land management and spatial data infrastructure to enable spatial land use planning for tea agricultural crop-lands. At the last, it is also sounded as development the production to consumption management schema for tea agricultural cropping with all applications and practices. So, in this paper, it is built geo-spatial data model for tea agricultural crops and crop-lands both as a specialization of Specialty Agricultural Model and also as component of Land Parcel Identification System (LPIS) Core Model (LCM) based on Land Administration Domain Model (LADM). As a result for sustainable global tea agricultural croplands management, it is expected to integrate this model with the standards of Infrastructure for Spatial Information in the European Community (INSPIRE) and Turkey National Geographical Information System (TUCBS) as well.

A spatial multicriteria decision-making method for natural gas transmission pipeline routing

Abstract In accordance with current demands, the natural gas transmission pipeline (NGTP) is one of the most appropriate methods used in the distribution of existing reserves. Construction of long-distance pipelines requires large expenditures. Decreasing the time and cost of such construction and minimising environmental damage depend upon identifying the optimum routes from the onset of the project. Route determination is one of the most important steps in NGTP projects. The route determination process requires obtaining the existing graphic and non-graphic data from different institutions and organisations, as well as gathering, storing, querying and analysing non-existing data in an appropriate and efficient manner. Accessing the correct results rapidly by analysing such large data-sets can be achieved with spatial multicriteria decision-making technologies based on the geographic information system as an effective decision support tool. In this study, three methods were implemented for two NGTP projects of 103.60 and 60.89 km in length. At the end of this study, it was concluded that Spatial technique for order preference by similarity to ideal solution was the most effective of the three pipeline routing methods and that it could reduce project costs by approximately 21%.

Fire Analysis and Production of Fire Risk Maps: The Trabzon Experience

Today fire has an important place among the causes of loss of life and property. To intervene as soon as possible is of great importance, to eliminate or reduce the destructive effects of fires. Effectiveness of the intervention is directly linked with instant access to the fire, but the topography of the Black Sea region makes it difficult to intervene in fires on time due to poor access. Therefore, in order to fulfill the needs of the fire service and get fires under control, systems supported by information technologies can be used.