<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The land's natural resources are invaluable and a requisite for the existence and development of humans and other organisms on Earth. In recent years, under the strong impact of new directions in economic and social development, the demand for land has been increasing. The percentage of land used for residential living, transportation, irrigation and infrastructure tends to increase, while the share of agricultural land is continuously decreasing. Consequently, the allocation and efficient use of land is one of the most important concerns in order to enable sustainable development, environmental protection and ecology. Therefore, research to determine the volatility and changing trends in land use is necessary. This study uses remote sensing and GIS technology, combined with the Markov Chain to determine variation and forecast the changes in land use in the Y Yen district of the Nam Dinh province of Vietnam. This will create a basis for helping land managers grasp the situation in local land use management.</p></abstract>

The land's natural resources are invaluable and a requisite for the existence and development of humans and other organisms on Earth. In recent years, under the strong impact of new directions in economic and social development, the demand for land has been increasing. The percentage of land used for residential living, transportation, irrigation and infrastructure tends to increase, while the share of agricultural land is continuously decreasing. Consequently, the allocation and efficient use of land is one of the most important concerns in order to enable sustainable development, environmental protection and ecology. Therefore, research to determine the volatility and changing trends in land use is necessary. This study uses remote sensing and GIS technology, combined with the Markov Chain to determine variation and forecast the changes in land use in the Y Yen district of the Nam Dinh province of Vietnam. This will create a basis for helping land managers grasp the situation in local land use management.

Research and Application of Remote Sensing and GIS Technologies in Determining and Forecasting Land Use Changes by Markov Chain in Y Yen District - Nam Dinh Province

Faculty of Land Management, Vietnam National University Agriculture, Trau Quy, Gia Lam, Hanoi

Real Estate Management and Valuation

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The land's natural resources are invaluable and a requisite for the existence and development of humans and other organisms on Earth. In recent years, under...

Research and Application of Remote Sensing and GIS Technologies in Determining and Forecasting Land Use Changes by Markov Chain in Y Yen District - Nam Dinh Province

Publié en ligne: 08 oct. 2016

Pages: 27 - 39

DOI: https://doi.org/10.1515/remav-2016-0019

Mots clés
ErDAS, GIS, MARKOV CHAIN, Remote Sensing, Land, Land use change

© 2016 Giang Thi Le et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Research and Application of Remote Sensing and GIS Technologies in Determining and Forecasting Land Use Changes by Markov Chain in Y Yen District - Nam Dinh Province

Publié en ligne: 08 oct. 2016

Pages: 27 - 39

DOI: https://doi.org/10.1515/remav-2016-0019

Mots clésErDAS, GIS, MARKOV CHAIN, Remote Sensing, Land, Land use change

© 2016 Giang Thi Le et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
ErDAS, GIS, MARKOV CHAIN, Remote Sensing, Land, Land use change