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基于Google高分历史影像的楚雄市东南新城土地利用动态与景观格局分析

2021-06-17饶艳吴家敏杨云源李榕峰段述雅

安徽农学通报 2021年10期
关键词:景观

饶艳 吴家敏 杨云源 李榕峰 段述雅

摘 要:下载2004年、2011年、2019年楚雄市东南新城Google高分遥感影像,依据现行土地利用分类标准进行土地利用动态监测与景观格局分析。结果表明,2004—2019年,住宅用地增加400.79hm2,工业用地增加193.33hm2,公路用地增加167.57hm2,水浇地减少952.25hm2。2004—2011年,土地转出最大的是水浇地(364.47hm2)和空闲地(294.24hm2),转入最大的是工业用地(177.04hm2)。2011—2019年,土地转出最大的是水浇地(930.74hm2),转入最大的是住宅用地(327.81hm2)和空闲用地(327.47hm2)。3个监测时点,水浇地的PLAND和LPI指数呈减小趋势,住宅用地与之相反;而景观级LPI和CONTAG指数都减小。楚雄市三大无污染的优势工业园区入驻东南新城,加快了其土地利用与景观格局的变化;截至2019年,楚雄市东南新城片区空闲地囤积过多,州医院以东-富民镇沿线土地集约利用程度较低。

关键词:Google高分歷史影像;土地利用动态变化;转移矩阵;景观格局分析;楚雄市

中图分类号 F301文献标识码 A文章编号 1007-7731(2021)10-0098-05

Land Use Dynamics and Landscape Pattern Analysis of Southeast New Town in Chuxiong City Based on Google High Resolution Historical Image

RAO Yan et al.

(The School of Resources, Environment and Chemistry, Chuxiong City, Yunnan Province 675000, China)

Abstract: Based on the high resolution remote sensing images of the southeast new town of Chuxiong City in 2004, 2011 and 2019, the land use dynamic monitoring and landscape pattern analysis of the southeast new town of Chuxiong City from 2004 to 2019 were carried out. From 2004 to 2019, residential land increased by 400.79 ha, industrial land increased by 193.33 ha, road land increased by 167.57 ha, and irrigated land decreased by 952.25 ha respectively. From 2004 to 2011, irrigated land (364.47ha) and vacant land (294.24ha) were the largest transferred in types while industrial land (177.04ha) was the largest transferred out type. From 2011 to 2019, the largest amount of land transferred out type was irrigated land (930.74ha), and the largest transfer in types were residential land (327.81ha) and vacant land (327.47 ha). At the three monitoring points, the indices of PLAND and LPI of irrigated land were decreased, while that of residential land decreased; the PD of landscape level increased, while LPI and CONTAG decreased. The three pollution-free industrial parks of Chuxiong City settled in the southeast new town, accelerating the change of land use and landscape pattern. As of 2019, there was too much idle land, and the intensive land use along the east of state hospital and Fumin town was not high.

Key words: Google high resolution historical image; Land use dynamic change; Transfer matrix; Landscape pattern analysis; Chuxiong City

1 引言

基于遥感的城市土地利用动态监测,主要使用中分辨率的Landsat、CBERS等卫星遥感数据。近年来,无人机垂直摄影测量可获取高分辨率的遥感图像,以替代价格高昂的高分辨率卫星影像,但无人机获取高分辨率影像成本过高、难于获取时序数据。使用Bigemap卫星地图下载器免费下载的高分辨率Google历史影像,主要源自WorldView和QuickBird卫星。数据经过压缩、增强等处理,已经没有各波段光谱信息。Google历史影像用于城市土地利用动态监测,经济适用,可进行高分辨率的土地利用动态检测。

基于高分辨率遥感的城市土地利用动态变化研究主要集中在信息提取[1-2]、图像分類方法[3-4]、变化检测与目标检测[5-7]、变化强度及变化预测[8-9]、驱动力与机制[10]、景观格局及生态环境效应[11]、环境适应等领域。……

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