scholarly journals Study on Dynamic Change of Land Use in Qingzhen City Based on GIS Technology and CA-Markov Model

2021 ◽  
Vol 271 ◽  
pp. 02017
Author(s):  
Yi Bai ◽  
Song Li ◽  
Qianqin Zuo ◽  
Wei Zhang
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Agricultural Land ◽  
Flow Direction ◽  
Rapid Development ◽  
Dynamic Change ◽  
Sustainable Use ◽  
Social Economy ◽  
Gis Technology ◽  
Gis And Remote Sensing

With the rapid development of social economy, the sustainable use of land is becoming more and more important. Based on GIS and remote sensing technology, the work processed the land use status data of Qingzhen in 2016 and 2020, obtained the dynamic change data during the period, analyzed its land use structure, quantity and degree. Finally, we used the CA-Markov model to obtain the flow direction and probability of land use type. Results showed that the rate of non-agricultural land increase, and the rate of other land reduce. Suggestions :(1) centralization of land resources and integration of urban and rural development.(2) Continue to develop characteristic industries and create new business cards for the city.(3) Pay attention to the quality of cultivated land and rationally develop unused land.

Characteristics of Landscape (Land Use) Change and its Driving Force in County - A Case Study of Shunyi District of Beijing

2014 ◽  
Vol 692 ◽  
pp. 115-120
Author(s):  
Shuai Shi ◽  
Zhi Hui Chen ◽  
Ji Qi ◽  
Yun Liu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Agricultural Land ◽  
Social Economy ◽  
Water Area ◽  
Cultivated Land ◽  
Forest Land ◽  
Gis Technology ◽  
Construction Land ◽  
Grass Land

Based on land use data and social economy data in 1999 and 2005, this article analyzed the spatial-temporal characteristics and driving factors of the land use change in Shunyi district by GIS technology and logistic regression analysis method. The result showed that transformation among different land use was dramatically changed from 1999 to 2005, such as the increase of construction land and the decrease of cultivated land and water area. Land transfer was mainly cultivated land to construction land, forest land, garden land, other land use; forest land to grass land and water area to cultivated land. The area of land changed from cultivated land to construction land was 14250.2hm2, and the ratio of the change is 20.09%; the changed land area from forest land to grass land was 887.6hm2 with 17.85% of changed ratio; the transformation area from water area to agricultural land was 1099.7hm2 and 23.75% of transformation ratio. The development of secondary and tertiary industry is the major driving factor of land use change from cultivated land to construction land, while the major reason for the changes from forest land to grass land and from water area to cultivated land was that the Caobai river has been dried up.

scholarly journals The Evaluation of Agricultural Land Use Sustainability in the Post-Socialist Camp Countries: Methodological and Practical Aspects

2021 ◽  
Vol 13 (2) ◽  
pp. 59-78
Author(s):  
Olena Kotykova ◽  
Mykola Babych
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Sustainable Use ◽  
Correct Selection ◽  
Agricultural Land Use ◽  
Current State ◽  
Definition Of ◽  
The Given ◽  
Selection Of ◽  
Integral Indicator

An effective implementation of the sustainable use of agricultural land program is impossible without reliable results of the current state of the problem. In this sense, the correct selection of indicators and methods for determining the level of stability is important. The authors proposes the definition of the agricultural land use sustainability integral indicator based on three methodological approaches: the construction of the indicators system, each of them reflects some aspects of the land use sustainability at the macro level (according to the specific issues); the construction of the integral indicator for comparing the countries’ land use sustainability. According to the given methods it has been proved that agricultural land use in the countries of the post-socialist camp has a positive dynamics, but the sustainability indicators for all indicators have not achieved yet. This study was supported in part by the Erasmus SUPPA program – Jean Monnet Associations Application No 611556-EPP-1-2019-1-UA-EPPJMO-SUPPA.

scholarly journals Assessment of Land Use and Vegetative Cover in Kano Metropolis (from 1975-2015) Employing GIS and Remote Sensing Technology

2020 ◽  
Vol 27 (2) ◽  
pp. 1-7
Author(s):  
M. Haruna ◽  
M.K. Ibrahim ◽  
U.M. Shaibu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Landsat 8 ◽  
Vegetative Cover ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Agricultural Planning ◽  
Bare Land

This study applied GIS and remote sensing technology to assess agricultural land use and vegetative cover in Kano Metropolis. It specifically examined the intensity of land use for agricultural and non agricultural purpose from 1975 – 2015. Images (1975, 1995 and 2015), landsat MSS/TM, landsat 8, scene of path 188 and 052 were downloaded for the study. Bonds for these imported scenes were processed using ENVI 5.0 version. The result indicated five classified features-settlement, farmland, water body, vegetation and bare land. The finding revealed an increase in settlement, vegetation and bare land between 1995 and 2015, however, farmland decreased in 2015. Indicatively, higher percentage of land use for non agricultural purposes was observed in recent time. Conclusively, there is need to accord surveying the rightful place and priority in agricultural planning and development if Nigeria is to be self food sufficient. Keywords: Geographic Information System, Agriculture, Remote sensing, Land use, Land cover

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

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
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.

Land Use Assessment of Economic Crops for Photovoltaic Power Plant in Phetchabun Province

2016 ◽  
Vol 839 ◽  
pp. 119-123
Author(s):  
Teerarat Chiramakara ◽  
Prapita Thanarak
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Power Plant ◽  
Sugar Cane ◽  
Solar Irradiance ◽  
Agricultural Land ◽  
Gis Technology ◽  
Photovoltaic Power ◽  
Major Factors

This research is aiming at the changing land use from agricultural land to photovoltaic power plant. Geographic information system (GIS) technology was used to indicate the unsuitable areas for five economic crops that are paddy, sugar cane, maize, cassava and para rubber. The assess cost, income, and CO2 emission of the economic crops and photovoltaic power plant are the major factors for the unsuitable agricultural land deciding that will be changed to build photovoltaic power plant. The results found that the unsuitable areas for the 5 economic crops are 241,142 rai and the average solar irradiance is 17.6 MJ/m2.day for this areas which is suitable to build the photovoltaic power plant. The profit/losing of paddy, sugar cane, maize, cassava and para rubber in the suitable areas are-1,193 baht/ton, 33 baht/ton, 85 baht/ton, 259 baht/ton and-9,150 baht/ton, respectively while photovoltaic power plant cost and income are 4.12 baht/kWh and 5.65 baht/kWh respectively. CO2 emission of paddy, sugar cane, maize, cassava, para rubber and photovoltaic power plant are 2,315 kgCO2eq/tonpaddy, 37.15 kgCO2eq/ton, 256.12 kgCO2eq/ton, 29.07 kgCO2eq/ton, 153 kgCO2eq/ton and-0.5743 kgCO2eq/kWh, respectively. From these results, land use changing from economic crops planting in unsuitable areas to build photovoltaic power plant is appropriate and worth in the environmental and the economic aspect.

scholarly journals Role of Relief and Slope in Agricultural Land Use: A Case Study in Valapattanam River Basin in Kannur District, Kerala Using GIS and Remote Sensing

2019 ◽  
pp. 1-11
Author(s):  
P. Jyothirmayi ◽  
B. Sukumar
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Land Use ◽  
River Basin ◽  
Agricultural Land ◽  
Digital Data ◽  
Agricultural Land Use ◽  
Land Use Patterns ◽  
Gis And Remote Sensing ◽  
Erdas Imagine

The land is a delineable area of the earth's surface, encompassing all attributes of the biosphere immediately above or below this surface. Physical characteristics of the land determine agricultural land use. Among them, relief and slope play an important role. Aim of this study is to establish the relationship of relief and slope with agricultural land use in Valapattanam River basin in Kannur district using GIS and Remote sensing. The Survey of India Topographic maps in 1:50000 scale was used as a base map for delineating the basin. Contours were digitized and Digital Elevation Model (DEM) was generated. Agricultural land use map was prepared using satellite digital data by the digital image processing method using ERDAS IMAGINE image processing software. Agricultural land use map was intersected with the relief and slope classes in ArcGIS software. Areas were calculated and the trend of agricultural land use patterns was studied. The study revealed that there is a strong correlation between Agricultural land use and relief and slope in the Valapattanam River basin. Most of the area under paddy, coconut, mixed crops like banana and tapioca concentrated below 20 m height in the coastal plain and valley regions of the basin. Rubber mostly cultivated between 100 and 300 meters with slopes between 3 to 12 degrees. Agriculture is limited up to 18-degree slope and 300 m height. Areas of more than 300 m height are occupied mostly by forest.

scholarly journals Advantages of formation non-agricultural land allocation projects based on GIS technologies

2021 ◽  
Vol 227 ◽  
pp. 05001
Author(s):  
Allabergan Babajanov ◽  
Rashid Abdiramanov ◽  
Ilhom Abdurahmanov ◽  
Utkir Islomov
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Land Allocation ◽  
Key Factors ◽  
Gis Technology ◽  
Gis Technologies ◽  
Key Indicators ◽  
Official Data

Based on the collection and study of official data, the main criteria for selecting a land plot using GIS (Geographic Information System) technologies for the construction of a water treatment plant are presented. The main stages of data analysis are determined when solving the question of the location of the building using ArcGIS, ArcMap, ArcCatalog and it is scientifically proven that the use of such programs when choosing land plots for such types of construction can save in large amounts of material and labour resources. Together with these, in the conducted study, a methodology was developed and presented for the formation of a database necessary for compiling similar GIS projects, as well as a methodology for a feasibility study for the implementation of land allotment projects for the construction of various economic facilities. The advantages of using GIS technology for non-agricultural land use projects, which are the main form of inter-farm land use, which is a modern measure aimed at rational land use, are described. Key factors and key indicators, as well as expected project results.

scholarly journals 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

2016 ◽  
Vol 24 (3) ◽  
pp. 27-39 ◽  
Author(s):  
Giang Thi Le ◽  
Thuan Duc Nguyen ◽  
Vinh Quoc Tran
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Markov Chain ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing And Gis ◽  
Strong Impact ◽  
Gis Technology ◽  
New Directions ◽  
Residential Living

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.

scholarly journals MicroLEIS DSS

2011 ◽  
pp. 339-376
Author(s):  
D. de la Rosa ◽  
M. Anaya-Romero
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Information Technologies ◽  
Agricultural Land ◽  
Regional Scale ◽  
Sustainable Use ◽  
Management Planning ◽  
Gis Applications ◽  
Other Information ◽  
Land Use And Management

The main focus of this chapter is that using soil type information in decision making is at the heart for sustainable use and management of agricultural land. The MicroLEIS decision support system (DSS) is based on the multifunctional evaluation of biophysical soil quality, using basically input data collected in standard soil inventories, and with particular reference to the peculiarities of the Mediterranean region. Its design philosophy is a toolkit approach, integrating many software instruments: databases, statistic models, expert systems, neural networks, Web and GIS applications, and other information technologies. As a case study applying MicroLEIS DSS to Cordoba Province (Spain), soil specific strategies to maximize land productivity and to prevent land degradation are predicted within two major topics: i) strategies related to land use planning at a regional scale, and ii) strategies related to soil management planning at a farm level. This DSS has proved to be an appropriate methodology for converting knowledge on land use and management systems, as estimated by research scientists, into information that is readily comprehensible to policy makers and farmers.

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