The analysis of cadastral measurements of land parcels in Sakiai district Aleksandras Stulginskis University, Lithuania
This article analyses the issue of the inadequacy between the results of preliminary measurements performed during the land reform and results of cadastral measurements. The aim of the research is to analyse the change of areas of land parcels of Sakiai district, the mistakes which were made during the measurements and their causes, as well as to make the comparison between preliminary and cadastral measurements.
Econometric analysis of farming land abandonment in the Tohoku region using community level data
The agricultural census of 2015 indicated that the total area of abandoned farming land reached to 424,090 ha which accounts for nearly 10% of total farming land in Japan. However, little is known about economic, social, and geographical characteristics that lead farmers to leave their farming lands idle. Tobit and quantile regression analysis are used to identify the underlying factors and the promising countermeasures using community level data in the Tohoku region of Japan.
Land Policy and Farm Efficiency: The Lessons of Moldova
Renewing CRP: Results from a Study of Alternative Targeting Criteria
Considerations on the public availability and application of time-series land use data of the Tohoku tsunami damage regions
The Japanese public now has access to vast amounts of geographical information produced by many government agencies and media outlets on the tsunami caused by the Great East Japan Earthquake. Many maps and images not only inform the public about the tsunami damage area, but potentially help the public and policy makers understand the landscape damaged by the tsunami, and plan reconstruction. However, large amounts of publically available data still remain underutilized.
Urban growth modeling based on the multi-centers of the urban areas and land cover change in Yangon, Myanmar
Yangon, the former capital of Myanmar, is the major economic areas of the country. Also, the urban areas have significantly increased. However, Yangon has problems with disasters such as flood and earthquake. To support disaster risk management in Yangon, Myanmar, the estimation of urban expansion is required to understand the mechanism of urban expansion and predict urban areas in the future. This research proposed a methodology to develop urban expansion modeling based the dynamic statistical model using Landsat Time-Series and GeoEye Images.