基于Sentinel-2A影像的枸杞种植区域识别  

Recognition and extraction of planting area of Chinese wolfberry based on Sentinel-2A

作　　者：王朝阳 师银芳[1] 侯诚 WANG Zhao-yang;SHI Yin-fang;HOU Cheng(College of Geography and Environmental Science,Northwest Normal University,Lanzhou 730070,China)

机构地区：[1]西北师范大学地理与环境科学学院,兰州730070

出　　处：《生态学杂志》2022年第5期1033-1040,共8页Chinese Journal of Ecology

基　　金：国家自然科学基金(41761083);甘肃省自然科学基金(20JR10RA094);甘肃省高等学校创新基金项目(2020A-017);西北师范大学青年教师项目(NWNU-LKQN-17-15&NWNU-SKQN2020-32)资助。

摘　　要：枸杞(Lycium barbarum L.)是西北地区重要的经济作物,靖远县作为甘肃省主要枸杞产区之一,快速准确地获取枸杞种植结构与空间分布对当地农业种植结构调整及区域经济可持续具有重要意义。基于Sentinel-2A影像数据,采用面向对象的分类方法,利用光谱特征与纹理特征构建随机森林分类器,实现枸杞种植信息的提取。结果表明:将光谱特征和纹理特征相结合的随机森林分类方法精度最高,分类总体精度达到88.14%,Kappa系数为0.81,枸杞的用户精度为81.03%;靖远县枸杞种植面积为297.12 km^(2),分别呈现出集中连片、零星分布特征,主要集中分布在靖安乡、五合镇、东升镇和北滩镇的种植基地,采用Sentinel-2A可以很好地提取空间上分散种植的枸杞。研究结果可为靖远县特色农作物枸杞的种植结构调整和开发利用提供数据支撑,研究方法可为大面积的枸杞遥感监测提供参考。Jingyuan County is one of the main production areas of Lycium barbarum L., an important cash crop in Northwest China. It is important to quickly and accurately obtain the information about planting structure and spatial distribution of L. barbarum for local agricultural adjustment and regional economic sustainability. Based on Sentinel-2 A image data and object-oriented classification method, a random forest classifier was established, with the planting information of L. barbarum being extracted using spectral and textural features. The results showed that the random forest classification combined spectral features with textural features had the highest accuracy. The overall accuracy was 88.14%, the Kappa coefficient was 0.81, and the user accuracy of wolfberry was 81.03%. The planting area of L. barbarum in Jingyuan was 297.12 km^(2), characterized by large-scale concentrated and sporadic distribution. The planting bases in several towns, including Jing’an, Wuhe, Dongsheng and Beitan, were the main distribution sites. In addition, Sentinel-2 A was good at effectively extracting scattered planted L. barbarum. Our results provided support for the adjustment of planting structure and development and utilization of L. barbarum in Jingyuan County. The method used here provided reference for remote sensing monitoring of L. barbarum in a large area.

关 键 词：枸杞 遥感提取 随机森林 Sentinel-2A 靖远 

分 类 号：S567.19[农业科学—中草药栽培] S127[农业科学—作物学]