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作 者:张晓云[1] 李永贤 张磊磊 吴开贤[1] 吴伯志[1] Zhang Xiaoyun;Li Yongxian;Zhang Leilei;Wu Kaixian;Wu Bozhi(College of Agronomy and Biotechnology,Yunnan Agricultural University,Kunming 650201)
机构地区:[1]云南农业大学农学与生物技术学院,昆明650201
出 处:《中国农学通报》2018年第20期85-91,共7页Chinese Agricultural Science Bulletin
基 金:公益性行业(农业)科研专项"坡耕地合理耕层构建技术指标研究"(201503119);国家科技支撑计划课题"西南睦边扶贫区基本农田建设技术及示范"(2015BAD06B04)
摘 要:作物覆盖度是农业生态学、作物栽培学和水土保持学等学科中的重要研究参数,因此如何快速和准确地获得覆盖度数据对相关科技工作者具有实用价值。笔者综述了国内外的作物覆盖度的近地面观测方法,将其归纳为地面实测类、动态模型类和遥感类3类,提出并评估了利用叶面积指数推导作物覆盖度的模型法。同时,在分析各种方法的特点和优势的基础上,对不同情形下的覆盖度方法的使用提出建议,最后对作物覆盖度测量方法可能的发展与研究方向做出了展望。以期为相关研究人员快速获得适宜的观测方法和方案提供参考。Crop coverage is an important parameter for studies in agriculture ecology, crop cultivation and soiland water conservation. Therefore, it is very valuable to observe the coverage data quickly and accurately. Inthis paper, the global observation methods of crop coverage near surface were summarized. The methods wereclassified into three categories: ground survey, dynamic model and remote sensing. Moreover, the authorsproposed and evaluated a model method for estimating crop coverage by using leaf area index. Besides, onanalysis of the characteristics and advantages of various methods, the authors suggested suitable observationmethods of crop coverage under different circumstances. Finally, the possible development and furtherresearch on crop coverage measurement were discussed. In all, it is expected that this paper can provide areference for the relevant researchers to quickly obtain suitable observation methods and solutions.
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