Evaluating And Modeling The Spatiotemporal Pattern Of Regional-scale Salinized Land Expansion In Highly Sensitive Shoreline Landscape Of Southeastern Iran - Info and Reading Options

The Internet Archive:

<div class="hd"> <h1> Evaluating and modeling the spatiotemporal pattern of regional-scale salinized land expansion in highly sensitive shoreline landscape of southeastern Iran </h1> <div class="flex" style="border:0px;padding-bottom:0px;"> </div> <div class="bd" style="border-bottom:1px solid #ced6e0;"> <ul style="margin-top:0px;"> <li> <b> 作者： </b> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Mohammad,%20SHAFIEZADEH" style="color:#3060cc;" rel="nofollow"> Mohammad, SHAFIEZADEH </a> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Hossein,%20MORADI" style="color:#3060cc;" rel="nofollow"> Hossein, MORADI </a> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Sima,%20FAKHERAN" style="color:#3060cc;" rel="nofollow"> Sima, FAKHERAN </a> </li> <li> <b> 作者单位： </b> <div style="margin-left:70px;margin-top:-26px;"> <div> 1. <a href="https://chinaxiv.org/user/search.htm?field=affication&amp;value=Department%20of%20Natural%20Resources,%20Isfahan%20University%20of%20Technology,%20Isfahan%208415683111,%20Iran" style="color:#3060cc;" rel="nofollow"> Department of Natural Resources, Isfahan University of Technology, Isfahan 8415683111, Iran </a> </div> </div> </li> <li> <b> 通讯作者： </b> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Hossein,%20MORADI" style="color:#bb3536;" rel="nofollow"> Hossein, MORADI </a> Email:[email protected] </li> <li> <b> 提交时间： </b> 2018-10-29 </li> </ul> </div> <div class="bd" style="margin-top:15px;"> <p style="color:#333;"> <b> 摘要: </b> Taking an area of about 2.3×104 km2 of southeastern Iran, this study aims to detect and predict regional-scale salt-affected lands. Three sets of Landsat images, each set containing 4 images for 1986, 2000, and 2015 were acquired as the main source of data. Radiometric, atmospheric and cutline blending methods were used to improve the quality of images and help better classify salinized land areas under the support vector machine method. A set of landscape metrics was also employed to detect the spatial pattern of salinized land expansion from 1986 to 2015. Four factors including distance to sea, distance to sea water channels, slope, and elevation were identified as the main contributing factors to land salinization. These factors were then integrated using the multi-criteria evaluation (MCE) procedure to generate land sensitivity map to salinization and also to calibrate the cellular-automata (CA) Markov chain (CA-Markov) model for simulation of salt-affected lands up to 2030, 2040 and 2050. The results of this study showed a dramatic dispersive expansion of salinized land from 7.7 % to 12.7% of the total study area from 1986 to 2015. The majority of areas prone to salinization and the highest sensitivity of land to salinization was found to be in the southeastern parts of the region. The result of the MCE-informed CA-Markov model revealed that 20.3% of the study area is likely to be converted to salinized lands by 2050. The findings of this research provided a view of the magnitude and direction of salinized land expansion in a past-to-future time period which should be considered in future land development strategies. </p> <div class="brdge"> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=soil%20salinization" rel="nofollow"> soil salinization </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=%20remote%20sensing" rel="nofollow"> remote sensing </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=%20CA-Markov" rel="nofollow"> CA-Markov </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=%20salt%20land%20expansion" rel="nofollow"> salt land expansion </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=%20southeastern%20Iran" rel="nofollow"> southeastern Iran </a> </span> </div> <ul> <li> <b> 分类： </b> <a href="https://chinaxiv.org/user/search.htm?field=domain&amp;value=392" rel="nofollow"> 地球科学 </a> &gt;&gt; <a href="https://chinaxiv.org/user/search.htm?field=subject&amp;value=393" rel="nofollow"> 地球科学史 </a> </li> <li> <b> 引用： </b> <a href="https://chinaxiv.org/abs/201810.00181" rel="nofollow"> <font color="#0000FF"> ChinaXiv:201810.00181 </font> </a> (或此版本 <a href="https://chinaxiv.org/abs/201810.00181v1" rel="nofollow"> <font color="#0000FF"> ChinaXiv:201810.00181V1 </font> </a> ) <br /> <a style="margin-left:45px;" rel="nofollow"> doi:10.12074/201810.00181 </a> <br /> <a href="https://www.cstr.cn/CSTR:32003.36.ChinaXiv.201810.00181.V1" style="margin-left:45px;" rel="nofollow"> <font color="#0000FF"> CSTR:32003.36.ChinaXiv.201810.00181.V1 </font> </a> </li> <li> <b> 推荐引用方式： </b> <span> Mohammad, SHAFIEZADEH,Hossein, MORADI,Sima, FAKHERAN.(2018).Evaluating and modeling the spatiotemporal pattern of regional-scale salinized land expansion in highly sensitive shoreline landscape of southeastern Iran.干旱区科学.[ChinaXiv:201810.00181] </span> </li> </ul> </div> <div class="ft"> <h4> <span> 版本历史 </span> </h4> <table> <tr> <td> <b> [V1] </b> </td> <td> 2018-10-29 19:23:15 </td> <td> ChinaXiv:201810.00181V1 </td> <td> <a class="btn" href="https://chinaxiv.org/user/download.htm?id=26998" rel="nofollow"> 下载全文 </a> </td> </tr> </table> </div> </div>

Search for “Evaluating And Modeling The Spatiotemporal Pattern Of Regional-scale Salinized Land Expansion In Highly Sensitive Shoreline Landscape Of Southeastern Iran” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Evaluating And Modeling The Spatiotemporal Pattern Of Regional-scale Salinized Land Expansion In Highly Sensitive Shoreline Landscape Of Southeastern Iran” in Libraries Near You:

Read or borrow “Evaluating And Modeling The Spatiotemporal Pattern Of Regional-scale Salinized Land Expansion In Highly Sensitive Shoreline Landscape Of Southeastern Iran” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “Evaluating And Modeling The Spatiotemporal Pattern Of Regional-scale Salinized Land Expansion In Highly Sensitive Shoreline Landscape Of Southeastern Iran” at a library near you.