基于CA-MARKOV链模型的LULC转换与未来预测(以巴基斯坦拉合尔市为例)

Faisal Mumtaz, Yu Tao, Waqar Bashir, M. Kareem, Wang Gengke, Lingling Li, Barjeece Bashir
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摘要

在过去的二十年里,由于各种人类活动和拉合尔大都会区景观格局的改变,土地利用和土地覆盖的转变仍在继续。LULC已经出现了大量的环境问题,包括居民、城市规划者和管理者的土地使用问题。本研究的重点是1998年至2018年的LULC变化及其对拉合尔大都会区2023年和2028年景观格局预测的影响。包括陆地卫星5号TM和陆地卫星8号OLI在内的许多卫星图像都经过了监督分类,用于编制LULC地图,土地变化模型MCL用于计算LULC中的过渡,以及用于预测即将到来的过渡的CA马尔可夫模型。结果通过转换矩阵、谷歌地球数据和kappa统计数据进行了验证。衍生结果显示,1998年至2018年间,水体减少了2.70%至0.60%,植被减少了24.90%至22.60%,荒地减少了42.50%至35.70%,建筑面积增加了29.80%至41%。这一发现清楚地表明了过去二十年生态和贫瘠景观的丧失,因此城市扩张可能会继续景观的变化。这项研究将为城市规划者和政策制定者提供基线参考,以便为土地资源管理、城市土地规划和维持土地可持续发展做出知情决策。
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TRANSITION OF LULC AND FUTURE PREDICTIONS BY USING CA-MARKOV CHAIN MODEL (A CASE STUDY OF METROPOLITAN CITY LAHORE, PAKISTAN)
Land use and land cover transition is continue process due to various anthropogenic activities and altering the landscape pattern of the metropolitan area of Lahore over the last two decade. LULC has been emerging masses of environmental problems including land use issues for the inhabitants, city planners, and managers. This research has been focused on the LULC change from 1998 to 2018 and their impact to forecast the landscape pattern of 2023 and 2028 in metropolitan area of Lahore. Numerous satellite imageries including land sat 5 TM and landsat 8 OLI has been undergone by supervised classification for the preparation of LULC map, land change moderler MCL to calculate the transition in LULC and CA-Markov model for predicting upcoming transitions. Results have validated by transition matrix, Google Earth data and kappa statistics. Derived results has depicted the decreased in water bodies 2.70% to 0.60%, vegetation 24.90% to 22.60% and barren land 42.50% to 35.70% and increased in built up area 29.80 % to 41% between 1998 to 2018. Finding clearly represents the loss of ecological and barren landscape over the last two decade and therefore urban expansion will likely to continue the change in landscape. This study will provide a baseline reference to urban planners and policymakers to make informed decision for management of land resources, urban land planning and for maintain sustainable land development.
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