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

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.

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Hydrologic response of a watershed to land use changes: A remote sensing and GIS approach

International Journal of Remote Sensing ◽

10.1080/01431160117359 ◽

2001 ◽

Vol 22 (11) ◽

pp. 2095-2108 ◽

Cited By ~ 41

Author(s):

T. Sharma ◽

P. V. Satya Kiran ◽

T. P. Singh ◽

A. V. Trivedi ◽

R. R. Navalgund

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Use Changes ◽

Remote Sensing And Gis ◽

Hydrologic Response

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Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi8100454 ◽

2019 ◽

Vol 8 (10) ◽

pp. 454 ◽

Cited By ~ 3

Author(s):

Junfeng Kang ◽

Lei Fang ◽

Shuang Li ◽

Xiangrong Wang

Keyword(s):

Remote Sensing ◽

Land Use ◽

Cellular Automata ◽

Markov Model ◽

Agricultural Land ◽

Land Use Changes ◽

Remote Sensing Images ◽

Mapreduce Framework ◽

Construction Land ◽

Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

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Application of some remote sensing images in mapping agricultural land use changes in South Western Nigeria

Nigeria Agricultural Journal ◽

10.4314/naj.v29i1.49297 ◽

2010 ◽

Vol 29 (1) ◽

Author(s):

NL Edosomwan ◽

AA Fagbami

Keyword(s):

Remote Sensing ◽

Land Use ◽

Agricultural Land ◽

Land Use Changes ◽

Agricultural Land Use ◽

Remote Sensing Images

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A Remote Sensing and GIS Integrated Study on Assessment of Change in Land Use and Loss of Agricultural Land due to Urbanization – A Case Study of Nashik City

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37851 ◽

2021 ◽

Vol 9 (8) ◽

pp. 3055-3063

Author(s):

Dipti Bakare

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Use Change ◽

Agricultural Land ◽

Urban Expansion ◽

Rapid Change ◽

Remote Sensing And Gis ◽

Suitability Analysis ◽

The World

Abstract: Urbanization may be a process having a serious impact ashore use characteristics. Basically, as an impression of urbanization, the world is observed with rapid change within the land use character of agricultural land. Generally, the agricultural land is employed for various development activities like industrial establishments, residential colonies and other urban infrastructure during the method of urbanization. it's necessary to possess a periodical assessment of land use change for the developing populated area , which helps to make a decision the longer term expansion strategies for the world. Nashik city is located in the state of Maharashtra in the western part of India. It is one of the most dynamic cities of India with a rapid growth rate due to migration from various parts of Maharashtra. The Nashik city is presently spread over an area of 264.15 sq. km. with a periodical increase in municipal corporation boundary during the last few decades. As a result of urbanization and expansion of municipal corporation limits, the city has undergone drastic changes in land use character. In this study, land-use change is quantified for the existing six zones of Nashik city during the last 30 years using remote sensing and GIS. The study has analysed the relationship between urban expansion and the loss of agricultural land because of an increase in a built-up area and other land use. The study present excellent scenario for land use change during the year 1991, 2001, 2011 and 2020. This can surely guide the development strategies for the study area of Nashik. Also the study can be extended for conducting a suitability analysis to assess future change of land use based on various criteria. Keywords: Land use, Remote sensing, GIS, Supervised classification, Urbanization, Agricultural land loss

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Remote sensing- and GIS-based runoff modeling with the effect of land-use changes (a case study of Cochin corporation)

Natural Hazards ◽

10.1007/s11069-014-1173-9 ◽

2014 ◽

Vol 73 (3) ◽

pp. 2023-2039 ◽

Cited By ~ 9

Author(s):

M. Nagarajan ◽

George Basil

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Use Changes ◽

Remote Sensing And Gis ◽

Runoff Modeling

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Analytical Review of Land Use Changes by Remote Sensing and GIS Techniques in District Gujrat, Pakistan

International Journal of Economic and Environmental Geology ◽

10.46660/ojs.v10i2.271 ◽

2019 ◽

Vol 10 (2) ◽

pp. 118-123

Author(s):

Sidra Abdul Hameed ◽

Sajid Rashid Ahmed ◽

Anum Liaqut ◽

Isma Younes ◽

Rakhshanda Sadaf

Keyword(s):

Remote Sensing ◽

Land Use ◽

Time Series ◽

Impact Analysis ◽

Irrigation System ◽

Land Use Changes ◽

Temporal Analysis ◽

Remote Sensing And Gis ◽

Sustainable Environment ◽

Analytical Review

Assessment of changes in land use and land cover through remote sensing and GIS is very important and keyanalysis. Urbanization has been continued by the rapid growth in the world economy so; it is the key study withregards to agriculture and urbanization. The aim of this study is to determine the loss of agriculture land and effects ofincreasing urbanization on surface temperature. For urban temperature impact analysis, distinctive time series ofLandsat images have been chosen. Temporal analysis for different time series shows the decrease in agriculture landand increase in built up area. Urbanization increased the temperature up to 20C. Positive correlation is found betweenbuilt-up area and temperature and negative correlation is found between green spaces and temperature. Unplannedurban sprawl and lack of proper irrigation system according to population are major problems in study area. Recentstudy will be helpful for decision makers to develop the sustainable environment policy in future.

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