盘锦市土地利用类型的遥感自动识别与分类研究——CART决策树算法的应用与精度评价
Remote Sensing Automatic Identification and Classification of Land Use Types in Panjin City—Application and Accuracy Evaluation of the CART Decision Tree Algorithm
DOI: 10.12677/gser.2026.152018, PDF,   
作者: 刘松源*:辽宁师范大学地理科学学院,辽宁 大连;王鹤瑶:大连博伦中学,辽宁 大连
关键词: 遥感CART算法土地利用盘锦市Remote Sensing CART Algorithm Land Use Panjin City
摘要: 遥感监测土地利用现状是遥感科学的重要研究方向。本文从地理空间数据云网站下载了辽宁省盘锦市2002年、2011年、2022年的6景Landsat数据,利用CART算法进行了土地利用类型分类研究。将盘锦市土地利用类型分为林地、草地、耕地、水域、建设用地、其它用地6类。研究工具主要采用了ENVI软件和ArcGIS软件,研究方法是多波段彩色合成,每年2景图像镶嵌处理,按照盘锦市行政边界裁剪,训练样本选择,CART算法分类,分类精度评价,土地利用类型图制作,每种土地利用类型面积统计,土地利用动态度计算,土地利用转移矩阵计算。主要研究结论是:从2002年到2011年,盘锦市建设用地、草地、其它用地的面积在增加,耕地、林地、水域的面积在减少,建设用地面积增加最多,增加219.31 km2,林地面积减少最多,减少236.71 km2。从2011年到2022年,建设用地、草地、其它用地的面积在增加,水域、林地、耕地的面积在减少,建设用地面积增加最多,增加376.12 km2,水域面积减少最多,减少323.44 km2。从2002年到2022年,建设用地、草地、其它用地的面积在增加,建设用地面积增加最多,增加595.43 km2,林地面积减少最多,减少397.58 km2。从2002年到2011年,耕地转移为建设用地的面积是139.87 km2。从2011年到2022年,耕地转移为建设用地的面积是331.36 km2。从2002年到2022年,耕地转移为建设用地的面积是373.84 km2
Abstract: Remote sensing monitoring of land use status is an important research direction in remote sensing science. This article downloaded six Landsat data from the Geospatial Data Cloud website in Panjin City, Liaoning Province in 2002, 2011, and 2022, and conducted land use type classification research using the CART algorithm. Divide the land use types of Panjin City into 6 categories: forest land, grassland, cultivated land, water area, construction land, and other land. The research tools mainly used ENVI software and ArcGIS software. The research method was multi band color synthesis, with 2 images mosaic processing per year. The data was cropped according to the administrative boundary of Panjin City, training sample selection, CART algorithm classification, classification accuracy evaluation, land use type map production, area statistics of each land use type, land use dynamic degree calculation, and land use transfer matrix calculation. The main research conclusion is that from 2002 to 2011, the area of construction land, grassland, and other land in Panjin City has been increasing, while the area of arable land, forest land, and water area has been decreasing. The construction land area has increased the most by 219.31 km2, while the forest land area has decreased the most by 236.71 km2. From 2011 to 2022, the area of construction land, grassland, and other land was increasing, while the area of water, forest, and farmland was decreasing. The construction land area has increased the most, with an increase of 376.12 km2, and the water area has decreased the most, with a decrease of 323.44 km2. From 2002 to 2022, the area of construction land, grassland, and other land has been increasing, with construction land increasing the most by 595.43 km2 and forest land decreasing the most by 397.58 km2. From 2002 to 2011, the area of cultivated land transferred to construction land was 139.87 km2. From 2011 to 2022, the area of cultivated land transferred to construction land was 331.36 km2. From 2002 to 2022, the area of cultivated land transferred to construction land was 373.84 km2.
文章引用:刘松源, 王鹤瑶. 盘锦市土地利用类型的遥感自动识别与分类研究——CART决策树算法的应用与精度评价[J]. 地理科学研究, 2026, 15(2): 171-184. https://doi.org/10.12677/gser.2026.152018

参考文献

[1] Zhang, X., Guo, Y. and Zhang, X. (2021) High-Resolution Remote Sensing Image Scene Classification by Merging Multilevel Features of Convolutional Neural Networks. Journal of the Indian Society of Remote Sensing, 49, 1379-1391. [Google Scholar] [CrossRef
[2] Teshager, Z. and Abeje, K. (2021) GIS and Remote Sensing based Land Use/Land Cover Change Detection: The Case of Kility Watershed. Journal of Remote Sensing & GIS, 10, 1-4.
[3] 潘怡. 土地调查利用动态遥感监测的现状和展望[J]. 科技创新与应用, 2012(23): 18.
[4] 戴潇蕾, 唐宏华. 土地利用遥感动态监测技术应用分析[J]. 科技创新与应用, 2016(9): 153-154.
[5] 胡栩, 聂勇, 徐霞, 等. 塔里木盆地南缘和田地区土地利用变化的遥感研究[J]. 地理科学进展, 2020, 39(4): 577-590.
[6] 李香莉, 吴芳. 遥感技术在第二次土地利用更新调查中的应用[J]. 山西建筑, 2009, 35(19): 363-364.
[7] Gong, Z., Zhong, P., Hu, W. and Hua, Y. (2019) Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing. Remote Sensing, 11, Article 76. [Google Scholar] [CrossRef
[8] 盘锦市土地利用总体规划(2006-2020年) [EB/OL].
https://www.mnr.gov.cn/gk/ghjh/201811/t20181101_2324654.html, 2012-08-13.
[9] 刘纪远, 刘文超, 匡文慧, 宁佳. 基于主体功能区规划的中国城乡建设用地扩张时空特征遥感分析[J]. 地理学报, 2016, 71(3): 355-369.
[10] 宁婉君, 赵小汎, 徐育红. 盘锦市城市土地集约利用评价研究[J]. 国土与自然资源研究, 2018(3): 38-41.
[11] 胡世欣. 盘锦市土地利用现状数据中心系统建设的回顾[C]//吉林省测绘学会. 吉林省测绘学会2008年学术年会论文集(上). 哈尔滨: 哈尔滨地图出版社, 2008: 2.
[12] 李美娟, 孙才志. 盘锦市土地利用变化及其驱动力分析[J]. 海洋开发与管理, 2013, 30(10): 94-98.
[13] 万鲁河, 王宪伟, 曹宇. 盘锦市湿地景观格局演变及其驱动力分析[J]. 湿地科学, 2011, 9(2): 134-140.
[14] 王耕, 关一凡. 盘锦市土地利用变化及生态系统服务价值演变分析[J]. 辽宁师范大学学报(自然科学版), 2021, 44(4): 522-530.