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基于TM和OLI数据的近10年云南文山三七种植区遥感提取与变化分析

Remote Sensing Extraction and Change Analysis of Panax notoginseng Planting Area in Wenshan Prefecture of Yunnan Province in Past Decade Based on TM and OLI Data

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【作者】 吴风志; 郑买红; 胡文英; 胡国贤; 王郦; 董兴欣; 卢艳萍;

【Author】 WU Feng-zhi;ZHENG Mai-hong;HU Wen-ying;HU Guo-xian;WANG Li;DONG Xing-xin;LU Yan-ping;School of Environment & Resources, Wenshan University;Geographical Information Technology Teaching & Experimental Base and Innovation Service Center, Wenshan University;College of Tourism and Geographic Sciences, Yunnan Normal University;Key Laboratory of Resources and Environmental Remote Sensing for University in Yunnan;Center for Geospatial Information Engineering and Technology of Yunnan Province;Meteorological Bureau of Wenshan Prefecture;Meteorological Bureau of Wenshan City,Wenshan Prefecture;

【通讯作者】 郑买红;

【机构】 文山学院环境与资源学院; 文山学院地理信息技术教学实验基地与创新服务中心; 云南师范大学旅游与地理科学学院; 云南省高校资源与环境遥感重点实验室; 云南省地理空间信息工程技术研究中心; 云南省气象局文山州气象局; 云南省气象局文山州文山市气象局;

【摘要】 以云南省文山州2010、2015及2019年冬末春初的12景TM/OLI影像、DEM等为数据源,将遥感监督分类法与基于阈值的决策树分类法相结合,提取文山州多时点三七种植区的空间分布信息,在此基础上,使用探索性数据分析、地图分析等方法探索研究区近10年三七种植区在空间上的变化转移规律。结果表明:(1)基于TM/OLI影像、DEM等多源数据,综合考虑三七种植区特殊影像光谱特征、生境特征等,将监督分类法与基于阈值的决策树分类法相结合,可以快速对三七种植区空间分布信息进行提取,且结果的精度较高,能够满足研究、应用等的要求;(2)三七种植模式上,呈现由小规模农户零散种植模式向大规模连片集中产业化种植模式转变;(3)三七种植区在水平分布上呈现出了由西部向西北、西南部及中部等扩张的特征;在海拔分布上呈现出向1200 m以下低海拔、2000 m以上高海拔地区扩展的特征;在坡度分布上呈现逐步向地势起伏更大的区域扩展延伸态势;在坡向分布上则呈现由阴坡面集中种植向阳坡及半阴坡面集中种植转移的趋势;(4)近10年云南文山三七种植区分布所呈现的时空变化特征,主要是受到了三七种植连作障碍的影响。

【Abstract】 The 12 scenes of TM/OLI images(captured during the transition between winter and spring in 2010, 2015 and 2019) and DEM of Wenshan Prefecture, Yunnan Province were used as data sources. The spatial distribution information of the Panax notoginseng planting area was extracted by combining remote sensing supervised classification with decision tree classification based on threshold segmentation. On this basis, the spatial distribution changes of the Panax notoginseng planting area were explored by exploratory data analysis and map analysis. The results show that based on TM/OLI images, DEM and other multi-source data, comprehensively considering the special image features, habitat characteristics of the Panax notoginseng planting area, and combining supervised classification with threshold-based decision tree classification, we can quickly extract The spatial distribution information of the Panax notoginseng planting area, and the accuracy of the result is high, which can meet the requirements of research and application. In terms of planting mode, it shows the transformation from a small-scale farmer’s scattered planting mode to a large-scale continuous concentration industrialized planting model. The horizontal distribution of the Panax notoginseng planting area is characterized by the expansion from the west of the study area to the northwest, southwest, and middle, the distribution of elevation shows the characteristics of extending to the low elevation area below 1200 m and the high elevation area above 2000 m, the distribution of slope shows gradual extension to the area with larger topography, and the distribution of aspect shows a shift tendency from concentrated planting on the shaded slopes to the sun or half shaded slopes. The spatiotemporal characteristics of the distribution of the Panax notoginseng planting area in study area in the past decade are mainly affected by the continuous cropping obstacles of the Panax notoginseng.

【关键词】 三七; TM; OLI; 遥感; 时空分布; 文山;
【Key words】 Panax notoginseng; TM; OLI; Remote sensing; Spatiotemporal distribution; Wenshan Prefecture;
【基金】 云南省应用基础研究计划项目(2018FD168);文山学院科学研究基金项目(15WSY18)
  • 【文献出处】 江西农业学报 ,Acta Agriculturae Jiangxi , 编辑部邮箱 ,2021年06期
  • 【分类号】S567.236;S127
  • 【被引频次】2
  • 【下载频次】275
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