摘要
以受“边际化规律”影响下撂荒现象突出的冀鲁豫三省交界处为研究区,基于30m分辨率的Landsat数据,将可见光、近红外、中红外波段及多项归一化指数进行多波段组合。运用CART决策树分类方法提取研究区各区(县)每年撂荒面积及撂荒率变化,分析撂荒耕地空间格局并对撂荒驱动因素进行探寻。结果表明,基于决策树分类方法的分类平均精度达到89.15%;2000—2018年研究区撂荒面积有些许波动但总体呈下降趋势;2002年撂荒面积最大,2015年后撂荒面积维持在较低水平;冀鲁豫省际边界区撂荒时间大部分仅存在1~2年,常年撂荒较少;研究区复垦较好,年均复垦率32%;当地撂荒主要受制于务农人口占比、农业生产效率和政府政策等因素。
Taking the junction of the three provinces of Hebei, Shandong and Henan under the influence of "marginalization law" as a study area, based on the 30 m resolution Landsat data, the visible spectrum, near-infrared, mid-infrared band and multiple normalization indices are combined in multiple bands. Using CART decision tree classification method to extract the annual change of abandoned area and abandonment rate in each district and county of the study area, the spatial pattern of abandoned farmland is analyzed to explore the driving factors of abandoned farmland. The results show that the average accuracy of classification is 89.15%. Between 2000 to 2018, the area of abandoned land in the study area fluctuated slightly but the overall trend was declining. In 2002, the area of abandoned land was the largest, and the area of abandoned land after 2015 was maintained at a low level. Most of the abandoned farmland area for the duration of abandonment in the study area only existed for 1~2 years, there were fewer years of long duration of abandoned farmland. Abandoned farmland reclamation rate in study area is relatively good, and the average annual abandoned farmland reclamation rate is 32%. Abandoned farmland in study area is related to the proportion of agricultural population, agricultural production efficiency and government policies.
作者
丁锐
张二梅
谢紫菁
纪文政
邵怀勇
DING Rui;ZHANG Er-mei;XIE Zi-jing;JI Wen-zheng;SHAO Huai-yong(Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resource,Chengdu University of Technology,Chengdu 610059,China;College of Earth Science,Chengdu University of Technology,Chengdu 610059,China)
出处
《湖北农业科学》
2019年第13期122-128,共7页
Hubei Agricultural Sciences
基金
国家级大学生创新创业训练计划项目(201810616049)
成都理工大学2018年度大学生课外科技立项(2018KJZ0012)
关键词
撂荒地
CART
决策树
冀鲁豫
abandoned farmland
CART
decision tree
Hebei, Shandong and Henan provinces
