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A model for big spatial rural data infrastructure in Turkey: Sensor-driven and integrative approach
یک مدل برای زیرساخت های داده های بزرگ فضایی روستایی در ترکیه: رویکرد حسگر محور و یکپارچه-2020 A Spatial Data Infrastructure (SDI) enables the effective spatial data flow between providers and users for their
prospective land use analyses. The need for an SDI providing soil and land use inventories is crucial in order to
optimize sustainable management of agricultural, meadow and forest lands. In an SDI where datasets are static,
it is not possible to make quick decisions about land use. Therefore, SDIs must be enhanced with online data flow
and the capabilities to store big volumes of data. This necessity brings the concepts of the Internet of Things (IoT)
and Big Data (BD) into the discussion.
Turkey needs to establish an SDI to monitor and manage its rural lands. Even though Turkish decision-makers
and scientists have constructed a solid national SDI standardization, a conceptual model for rural areas has not
been developed yet. In accordance with the international agreements, this model should adopt the INSPIRE
Directive and Land Parcel Identification System (LPIS) standards. In order to manage rural lands in Turkey, there
are several legislations which characterize the land use planning, land classification and restrictions. Especially,
the Soil Protection and Land Use Law (SPLUL) enforces to use a lot and a variety of land use parameters that
should be available in a big rural SDI. Moreover, this model should be enhanced with IoT, which enables to use
of smart sensors to collect data for monitoring natural occurrences and other parameters that may help to classify
lands.
This study focuses on a conceptual model of a Turkish big rural SDI design that combines the sensor usage and
attribute datasets for all sorts of rural lands. The article initially reviews Turkish rural reforms, current enterprises
to a national SDI and sensor-driven agricultural monitoring. The suggested model integrates rural land
use types, such as agricultural lands, meadowlands and forest lands. During the design process, available data
sets and current legislation for Turkish rural lands are taken into consideration. This schema is associated with
food security databases (organic and good farming practices), non-agricultural land use applications and local/
European subsidies in order to monitor the agricultural parcels on which these practices are implemented. To
provide a standard visualization of this conceptual schema, the Unified Modeling Language (UML) class diagrams
are used and a supplementary data dictionary is prepared to make clear definitions of the attributes, data
types and code lists used in the model.
This conceptual model supports the LPIS, ISO 19156 International Standard (Geographic Information:
Observations and Measurements) catalogue and INSPIRE data theme specifications due to the fact that Turkey is
negotiating the accession to EU; however, it also provides a local understanding that enables to manage rural
lands holistically for sustainable development goals. It suggests an expansion for the sensor variety of Turkish
agricultural monitoring project (TARBIL) and it specifies a rural theme for Turkish National SDI (TUCBS). Keywords: Spatial data infrastructures | Big data | Internet of things | Rural land use | INSPIRE | LPIS |
مقاله انگلیسی |
2 |
Development and Implementation of a DECATASTROPHIZE platform and tool for the management of disasters or multiple hazards
توسعه و پیاده سازی یک پلتفرم دیکتاتوری فیزیکی و ابزار برای مدیریت بلایای طبیعی و یا خطرات متعدد-2018 Research studies using a Geo-Spatial Early Warning Decision Support System (GE-DSS) based
platform and tool to integrate and link decision makers, Emergency Operation Centres (EOCs),
Operational Resources (OR) in the field for multi-hazard or disaster management in accordance
relative to the New European Union Civil Protection Mechanism (UCPM) priorities have neither
been explored nor implemented. The goal of the DECATASTROPHIZE (DECAT) platform is to
use a GE-DSS to assess, prepare for and respond to multiple and/or simultaneous natural and
man-made hazards and disasters in a synergistic way on one multi-platform, distributed and
integrated framework. The main results of the DSS platform include:1) GE-DSS use-case
analyses, workflows and functionalities for early warning, decision making and rapid mapping, 2)
methodologies for rapid assessment and mitigation of impacts, and 3) Spatial Data Infrastructures
(SDI) from Cyprus for disseminating geospatial data and information about various types of
multi-hazards with dedicated capabilities aimed to support impact assessment as well as
emergency management based on activities suitable for overall operational scenarios.
In addition to integrating the a) GE‐DSS, b) EOCs, and c) OR in the field, the DECAT
methodological framework software also integrated hazard/risk assessment with the common
operational picture. The paper aims to introduce the GE-DSS prototype resulting from the
implementation of these requirements, resulting by reuse, improvement and extension of Open
Source SDI codes. It has been already tested in all of DECAT participating countries. The
objectives achievement level was evaluated by analysing the test performed by Cyprus Civil
Defense (CCD).
The DECAT project aimed to a) demonstrate the assessment and mitigation of impact of natural
disasters, b) discuss and develop effective warning systems decision making and rapid
notification for risk resilience at all levels, c) stimulate exchange of ideas and knowledge transfer
on all phases of the disaster management cycle including disaster research, and risk reduction at
all geographical scales—local, national and international, d) assess multi-disaster risk and
impacts from a multidisciplinary and multi-faceted perspective, e) develop multi-disaster risk
reduction strategies and techniques.
Keywords: Disaster management, Geo-spatial Early Warning Decision Support System, Multi Hazard or Disaster Risk Assessment, Humanitarian Aid and Civil Protection (ECHO), European Union (EU) Civil Protection Mechanism |
مقاله انگلیسی |