SVM算法支持下的耕地面积退化遥感监测——以昆明市呈贡区为例
Remote Sensing Monitoring of Cultivated Land Degradation Supported by SVM Algorithm——A Case of Chenggong District, Kunming City
张志坤 1杨昆 2王加胜 2朱彦辉 2洪亮1
作者信息
- 1. 云南师范大学旅游与地理科学学院,云南昆明650500;西部资源环境地理信息技术教育部工程研究中心,云南昆明650500
- 2. 西部资源环境地理信息技术教育部工程研究中心,云南昆明650500;云南师范大学信息学院,云南昆明650500
- 折叠
摘要
基于Landsat卫星TM、ETM+和OLI数据,采用SVM算法结合RS和GIS技术,分别提取了呈贡区5个时期(1989、1996、2003、2009、2015年)的耕地面积.结果表明,1989-2015年呈贡区耕地面积由156.99 km2减少到40.02 km2,减少了74.51％,年平均减少4.50km2;空间分布上,耕地集中在呈贡西部、西南部、东北部和中部地区,其中以中部地区减少最为剧烈和明显.原因主要是政府的宏观调控、城市化速率和城市建设占用了大量耕地.建议政府协调人、地、自然和城市发展建设之间的关系,严守耕地红线,出台耕地保护措施.
Abstract
It was used to extract the cultivated land area of Chenggong District that SVM algorithm combined with RS and GIS technology based on the Landsat TM,ETM + and OLI data in five periods (1989,1996,2003,2009,2015) respectively.The results showed that the degradation of cultivated land in Chenggong District reduced from 156.99 km2 to 40.02 km2 during 1989-2015,showed a decrease of 74.15％ and an annual reduction of 4.50 km2 in the past 26 years.Cultivated land concentrated in the western,southwest,northeast and central parts of Chenggong in spatial distribution,of which the central region reduced the most dramatic and obvious.The main reason was the government's macro-control,urbanization rate and urban construction occupied a lot of cultivated land.It was suggested that the government should coordinate the relationship between human,land,nature and urban development and construction,safeguard the red line of cultivated land and introduce the protection measures of cultivated land.
关键词
SVM/耕地面积/城市化/呈贡区Key words
SVM/Cultivated land area/Urbanization/Chenggong District引用本文复制引用
基金项目
云南社会发展专项计划项目(2012CA024)
国家科技支撑计划项目(2013BAJ07B00)
国家自然科学基金青年科学基金(41501436)
高等学校博士学科点专项科研基金(20115314110005)
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据