摘要
农业生产用地构成了土地利用的重要组成部分,如何在小尺度上快速提取农作物种植面积对监测土地利用变化、实现精准农业和保护粮食安全等领域有着非常重要的意义。因此,本文提出了一种高精度小尺度的作物种植面积快速提取方法。首先根据研究区内影响作物生长发育的气候条件,结合研究区背景数据,划分气候区,然后利用中等分辨率的多时相遥感影像建立作物种植面积提取模型,并利用高分辨率的影像对提取结果修正,得到最终的分类结果。最后通过应用Landsat8和资源3号影像,对南京市2016年油菜种植面积进行提取验证。检验结果显示,与统计数据相比,总体精度达到了89%,表明该方法是一种有效、可行的作物种植面积提取方法。本文研究结论可为监测该地区农作物种植规模变化和种植结构调整提供有效的信息来源和决策依据。
Agricultural production land accounts for a significant portion of land use,while the small-scale methods used to extract crops from planted areas are important for monitoring changes in land use,realizing accurate agriculture,food security,and other fields.This paper therefore offers a rapid extraction method for planted areas that is both highly precise and able to be performed on a small scale.We first divided climate areas according to the meteorological conditions that affect crop growth in conjunction with an examination of the background data in the study areas.Second,we applied moderate resolution and multiple time-remote sensing images to establish an extraction model for the planted crop area before using high-resolution images to revise and refine the extraction results.Finally,by applying the Landsat8 and Resource3 images,we extracted Nanjing city s planting area for the production of rapeseed oil to verify our results.The accuracy of these results can arrive at 89%when compared with the statistical data,thereby demonstrating that this method is an effective and feasible crop extraction method.This study s conclusions may provide an efficient information source and basis for decision-making regarding the monitoring of changes in planting scale for district crops as well as the crop-planting structure.
作者
肖善才
XIAO Shan-Cai(College of Land Management,Nanjing Agricultural University,Jiangsu Nanjing 210095,China)
出处
《上海国土资源》
2018年第1期50-56,共7页
Shanghai Land & Resources
基金
国家自然科学基金项目"基于规划控制目标与极限供给情景的建设用地指标区域差别化配置研究:以江苏省为例"(71303119)
作者简介
肖善才(1993-),男,博士生,主要研究方向为土地利用变化及其生态效应.电子邮箱:1145293911@qq.com联系电话:025-84396317
