遥感与积温数据融合的葡萄种植面积提取最佳时相选择  

Optimal Time Phase Selection for Grape Planting Area Extraction Based on Remote Sensing Data and Accumulated Temperature Data

作　　者：宋晓倩 张春梅[1] 张学艺[2] 李万春 Song Xiaoqian;Zhang Chunmei;Zhang Xueyi;Li Wanchun(School of Computer Science and Engineering,North Minzu University,Yinchuan 750021,China;Ningxia Meteorological Bureau/Key Laboratory ofMonitoring and Early Warning and Risk Management of Agricultural Meteorological Disasters in the Arid Region ofChina/Ningxia Key Laboratory ofMeteorological Disaster Prevention and Reduction,Yinchuan 750002,China)

机构地区：[1]北方民族大学计算机科学与工程学院,宁夏银川750021 [2]宁夏气象局/中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室/宁夏气象防灾减灾重点实验室,宁夏银川750002

出　　处：《山东农业科学》2020年第2期151-155,共5页Shandong Agricultural Sciences

基　　金：国家自然科学基金项目(61461002);宁夏回族自治区青年拔尖人才培养工程项目(RQ0033);宁夏高等学校一流学科(电子科学与技术学科)建设项目(NXYLXK2017A07);宁夏回族自治区重点研发计划一般项目(2019BDE03011);北方民族大学研究生创新项目(YCX18059)

摘　　要：本研究提出一种应用遥感数据与气象学中的积温数据,结合植被指数获取区分不同作物最佳时相的新模型,达到减小提取贺兰山东麓葡萄种植面积误差的目标。选取2016年宁夏地区时间分辨率高的MODIS 250 m数据定点提取NDVI指数,构建不同作物的NDVI时间曲线,找出葡萄与其他作物的NDVI差值最大时相并确定为当年最佳时相;结合气象学中的积温数据,构建最佳时相判断模型,反推其他年份的最佳时相。试验结果表明由NDVI差值测得的最佳时相可用,即能够获取分类效果最好的最佳时段内遥感图像,为后续作物分类工作打下良好的基础。In this research,a new model using remote sensing data and accumulated temperature data was established combining vegetation index to obtain the optimal time phase for distinguishing each crop,in order to reduce the extracting error of grape planting area in the eastern foot of Helan Mountain.The MODIS250 m data with high time resolution of Ningxia region in 2016 were used to extract the NDVI index and construct the NDVI time curve of different crops.The time phase with the maximum NDVI difference between grape and other crops was found and determined as the best phase of the year.Combined with the accumulative temperature,the best phase judgment model was constructed to work backward the best phase of other years.The results showed that the best phase obtained based on NDVI difference value was available,that was,the remote sensing image of the best phase segment with the best classification effect could be obtained.This study layed good foundation for the subsequent crop classification.

关 键 词：遥感影像 积温 葡萄 贺兰山东麓 最佳时相 

分 类 号：S127[农业科学—农业基础科学]