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遥感技术在伊犁贝母调查中的应用
引用本文:孙志群,郑江华,郭宝林,石明辉,谢彩香,孙成忠,李晓瑾,贾晓光. 遥感技术在伊犁贝母调查中的应用[J]. 中国现代中药, 2014, 16(2): 113-118
作者姓名:孙志群  郑江华  郭宝林  石明辉  谢彩香  孙成忠  李晓瑾  贾晓光
作者单位:新疆大学资源与环境科学学院,新疆乌鲁木齐830046;智慧城市与环境建模普通高校重点实验室,新疆乌鲁木齐830046;新疆维吾尔自治区中药民族药研究所,新疆乌鲁木齐830002;新疆维吾尔自治区中药民族药研究所,新疆乌鲁木齐830002;中国医学科学院 北京协和医学院 药用植物研究所,北京100193;中国测绘科学研究院,北京100039;新疆维吾尔自治区中药民族药研究所,新疆乌鲁木齐830002;新疆维吾尔自治区中药民族药研究所,新疆乌鲁木齐830002
基金项目:中医药公共卫生专项“国家基本药物所需中药原料资源调查和监测项目”(财社[2011]76 号);中医药行业科研专项“我国代表性区域特色中药资源保护利用”(201207002)
摘    要:以种植伊犁贝母为研究对象,通过实地调查其物候特性、生长状况及分布特点,基于Worldview-2影像采用多种方法提取伊犁贝母信息,探讨遥感技术在伊犁贝母调查中的可行性。调查显示伊犁贝母多在4月中下旬开花且花期短,5月地面部分停止生长并陆续倒苗;不同年份的贝母形态各异,与其他作物无规则穿插种植,分布零散,大部分区块呈细长条状分布,面积不大,部分贝母植株低矮,种植稀疏且不均匀,也存在不同年份贝母混生现象。利用遥感影像的信息提取结果表明,受其分布及生长特点影响,常用的最大似然、支持向量机、决策树、面向对象等计算机分类法对伊犁贝母的提取存在一定局限性,无法获得有效结果,仅目视解译能有效提取。本研究为遥感技术在伊犁贝母调查中的应用提供了参考。

关 键 词:伊犁贝母  遥感  调查  Worldview-2
收稿时间:2013-09-13

Application of Remote Sensing Technique in Fritillaria pallidiflora Schrenk Investigation
SUN Zhiqun,ZHENG Jianghu,GUO Baolin,SHI Minghui,XIE Caixiang,SUN Chengzhong,LI Xiaojin and JIA Xiaoguang. Application of Remote Sensing Technique in Fritillaria pallidiflora Schrenk Investigation[J]. Modern Chinese Medicine, 2014, 16(2): 113-118
Authors:SUN Zhiqun  ZHENG Jianghu  GUO Baolin  SHI Minghui  XIE Caixiang  SUN Chengzhong  LI Xiaojin  JIA Xiaoguang
Affiliation:1. School of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China; 2. Xinjiang Education Ministry Key Lab of City Inteligenlizing and Environment Modeling, Urumqi 830046, China; 3. Xinjiang Chinese and Minority Nationality Medicine Research Institute, Urumqi 830002, China; 4. Chinese Academy of Medical Sciences Institute of Medicinal Plant, Beijing 100193, China; 5. Research Institute of Surveying and Mapping of China, Beijing 100039, China)
Abstract:This paper explored the phonological characteristics of Fritillaria pallidiflora Schrenk, its growth status and distribution characteristics, using a variety of methods collect information of Fritillaria pallidiflora Schrenk from the W orldview -2 image, discussed the feasibility of remote sensing in its investigation. Exploration results show that the florescence of Fritillaria pallidiflora Schrenk is short, which blossom in mid or late April and the ground part stop growing in May and then gradually wilt. The differentyear Fritillaria pallidiflora Schrenk has different shape, which are irregularly interspersed with other crops and scattered. Most plots areas are small and assume slender strip distribution. Some Fritillaria pallidiflora Schrenk are low, sparse, uneven, and have mixed phenomenon for which in different years. The result of remote sensing information extraction showed that the common computer automatically classification methods such as maximum likelihood, SVM, decision tree and object-oriented is certainly limited in Fritillaria pallidiflora Schrenk, because its distribution and growth characteristics, which cannot get effective results, except for the visual interpretation. This study provides a reference for the application of remote sensing technology in investigation of Fritillaria pallidiflora Schrenk.
Keywords:Fritillaria pallidiflora Schrenk  Remote sensing  Investigation  Worldview-2
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