撂荒耕地的提取与分析——以山东省庆云县和无棣县为例（英文）

论文摘要

Rapid urbanization and continuous loss of rural labor force has resulted in abandonment of large areas of farmland in some regions of China. Remote sensing technology can indirectly help detect abandoned farmland size and quantity, which is of great significance for farmland protection and food security. This study took Qingyun and Wudi counties in Shandong Province as a study area and used CART decision tree classification to compile land use maps of 1990–2017 based on Landsat and HJ-1 A data. We developed rules to identify abandoned farmland, and explored its spatial distribution, duration, and reclamation. CART accuracy exceeded 85% from 1990–2017. The maximum abandoned farmland area was 5503.86 ha during 1992–2017, with the maximum rate being 5.37%. Farmland abandonment rate was the highest during 1996–1998, and abandonment trend decreased year by year after 2006. Maximum abandonment duration was 15 years（1992–2017）, mostly within 4 years and only a few exceeded 10 years. From 1993–2017, the maximum reclaimed abandoned farmland was 2022.3 ha, and the minimum ～20 ha. The maximum reclamation rate was 67.44%m, with annual average rate being 31.83%. This study will help analyze farmland abandonment driving forces in the study area and also provide references to identify abandoned farmland in other areas.

论文目录

• 1 Introduction
• 2 Study area and data
•   2.1 Study area
•   2.2 Data
• 3 Methodology
•   3.1 Data preprocessing
•   3.2 CART decision tree classification
•   3.3 Land use/land cover mapping
•   3.4 Abandoned farmland identification
•   3.5 Abandoned farmland reclamation
• 4 Results
•   4.1 CART decision tree classification and validation
•   4.2 Abandoned farmland identification
•   4.3 Abandoned farmland reclamation
• 5 Conclusion and discussion
•   5.1 Conclusions
•   5.2 Discussion

文章来源

类型: 期刊论文

作者: 肖国峰,朱秀芳,侯陈瑶,夏兴生

来源: Journal of Geographical Sciences 2019年04期

年度: 2019

分类: 基础科学,工程科技Ⅱ辑,农业科技,信息科技,经济与管理科学

专业: 工业通用技术及设备,农业基础科学,自动化技术,农业经济

单位: Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education,Faculty of Geographical Science,Beijing Normal University,State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing Engineering Research Center for Global Land Remote Sensing Products,Institute of Remote Sensing Science and Engineering,Beijing Normal University

基金: The National High Resolution Earth Observation System(The Civil Part)Technology Projects of China,State Key Laboratory of Earth Surface Processes and Resource Ecology,No.2017-FX-01(1)

分类号: F323.211;TP79

页码: 581-597

总页数: 17

文件大小: 1104K

下载量: 178