Simulation of land cover changes in urban area using CA-MARKOV model (case study: zone 2 in Tehran, Iran)
Land surface has already been exposed to impressive land use/cover changes, which is more evident in residential areas. Land cover changes play an important role in understanding the interactions between human activities and the environment. The aim of this research was to analyze and monitor land c...
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| Veröffentlicht in: | Modeling earth systems and environment 2019-03, Vol.5 (1), p.193-202 |
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| creator | Nasehi, Saeedeh Imanpour namin, Aysan Salehi, Esmail |
| description | Land surface has already been exposed to impressive land use/cover changes, which is more evident in residential areas. Land cover changes play an important role in understanding the interactions between human activities and the environment. The aim of this research was to analyze and monitor land cover changes in zone 2 in Tehran, Iran over a time span of 30 years and predict the future trend of changes during the period of 2016–2032. Land cover maps for 1986, 2000 and 2016 via RS images obtained from Landsat TM, ETM +, respectively. In order to predict the future land cover in this zone for the next 16 years, the Markov CA model was used. Results of the classification of the images indicate a significant increase in the built lands against the reduction of open lands and green lands. The biggest changes that have occurred was an increase in the amount of built lands, from 1986 to 2016, the amount of built lands increased by 25.2%, green land decreased by 4.4%, and the open lands had decreased by 23.6%. These changes reflect the destruction of green lands and open lands as two important and ecological infrastructures. The results of this study can play a useful role in improving the land cover management strategies of the study area. |
| doi_str_mv | 10.1007/s40808-018-0527-9 |
| format | Article |
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Land cover changes play an important role in understanding the interactions between human activities and the environment. The aim of this research was to analyze and monitor land cover changes in zone 2 in Tehran, Iran over a time span of 30 years and predict the future trend of changes during the period of 2016–2032. Land cover maps for 1986, 2000 and 2016 via RS images obtained from Landsat TM, ETM +, respectively. In order to predict the future land cover in this zone for the next 16 years, the Markov CA model was used. Results of the classification of the images indicate a significant increase in the built lands against the reduction of open lands and green lands. The biggest changes that have occurred was an increase in the amount of built lands, from 1986 to 2016, the amount of built lands increased by 25.2%, green land decreased by 4.4%, and the open lands had decreased by 23.6%. These changes reflect the destruction of green lands and open lands as two important and ecological infrastructures. The results of this study can play a useful role in improving the land cover management strategies of the study area.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-018-0527-9</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Case studies ; Chemistry and Earth Sciences ; Computer Science ; Computer simulation ; Construction ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecological effects ; Ecological monitoring ; Ecosystems ; Environment ; Image classification ; Interactions ; Land cover ; Land use ; Landsat ; Landsat satellites ; Markov chains ; Math. 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Earth Syst. Environ</addtitle><description>Land surface has already been exposed to impressive land use/cover changes, which is more evident in residential areas. Land cover changes play an important role in understanding the interactions between human activities and the environment. The aim of this research was to analyze and monitor land cover changes in zone 2 in Tehran, Iran over a time span of 30 years and predict the future trend of changes during the period of 2016–2032. Land cover maps for 1986, 2000 and 2016 via RS images obtained from Landsat TM, ETM +, respectively. In order to predict the future land cover in this zone for the next 16 years, the Markov CA model was used. Results of the classification of the images indicate a significant increase in the built lands against the reduction of open lands and green lands. The biggest changes that have occurred was an increase in the amount of built lands, from 1986 to 2016, the amount of built lands increased by 25.2%, green land decreased by 4.4%, and the open lands had decreased by 23.6%. These changes reflect the destruction of green lands and open lands as two important and ecological infrastructures. The results of this study can play a useful role in improving the land cover management strategies of the study area.</description><subject>Case studies</subject><subject>Chemistry and Earth Sciences</subject><subject>Computer Science</subject><subject>Computer simulation</subject><subject>Construction</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecological effects</subject><subject>Ecological monitoring</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Image classification</subject><subject>Interactions</subject><subject>Land cover</subject><subject>Land use</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Markov chains</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Original Article</subject><subject>Physics</subject><subject>Remote sensing</subject><subject>Residential areas</subject><subject>Satellite imagery</subject><subject>Statistics for Engineering</subject><subject>Urban areas</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kF1LwzAUhoMoOKY_wLuANwpWk7RNGu_G8GM4Gej0NqRJunV0yUxaYf56Uyp65YHzweF9z4EHgDOMrjFC7CZkqEBFgnDMnLCEH4ARSWmaUILx4e-M0mNwGsIGIYQpoZTzEahf623XyLZ2FroKNtJqqNyn8VCtpV2ZAGsLO19KC6U3Enahtis4nSTPk5enxTvcOm0aeKFkMDC0nd7fwi9nDSS9b2nWXtorOIv18gQcVbIJ5vSnj8Hb_d1y-pjMFw-z6WSeqBTTNtEyRskMzmWJS20oV3nOMp1RrRSucIkIL3gW16jUuSJlwaWuZJoZmVOGs3QMzoe7O-8-OhNasXGdt_GlIJgxghjLehUeVMq7ELypxM7XW-n3AiPRQxUDVBGhih6q4NFDBk-I2sjG_13-3_QNBO14YQ</recordid><startdate>20190313</startdate><enddate>20190313</enddate><creator>Nasehi, Saeedeh</creator><creator>Imanpour namin, Aysan</creator><creator>Salehi, Esmail</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20190313</creationdate><title>Simulation of land cover changes in urban area using CA-MARKOV model (case study: zone 2 in Tehran, Iran)</title><author>Nasehi, Saeedeh ; Imanpour namin, Aysan ; Salehi, Esmail</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-daaaab7e15ab1bde69c5574d46dcc1f1b02989469c0bd5c2b89adfa34ea567143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Case studies</topic><topic>Chemistry and Earth Sciences</topic><topic>Computer Science</topic><topic>Computer simulation</topic><topic>Construction</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecological effects</topic><topic>Ecological monitoring</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Image classification</topic><topic>Interactions</topic><topic>Land cover</topic><topic>Land use</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Markov chains</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Original Article</topic><topic>Physics</topic><topic>Remote sensing</topic><topic>Residential areas</topic><topic>Satellite imagery</topic><topic>Statistics for Engineering</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nasehi, Saeedeh</creatorcontrib><creatorcontrib>Imanpour namin, Aysan</creatorcontrib><creatorcontrib>Salehi, Esmail</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nasehi, Saeedeh</au><au>Imanpour namin, Aysan</au><au>Salehi, Esmail</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation of land cover changes in urban area using CA-MARKOV model (case study: zone 2 in Tehran, Iran)</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. 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| subjects | Case studies Chemistry and Earth Sciences Computer Science Computer simulation Construction Earth and Environmental Science Earth Sciences Earth System Sciences Ecological effects Ecological monitoring Ecosystems Environment Image classification Interactions Land cover Land use Landsat Landsat satellites Markov chains Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Original Article Physics Remote sensing Residential areas Satellite imagery Statistics for Engineering Urban areas |
| title | Simulation of land cover changes in urban area using CA-MARKOV model (case study: zone 2 in Tehran, Iran) |
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