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农业遥感研究进展与展望 被引量:58

Progress and Prospect of Agricultural Remote Sensing Research
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摘要 农业遥感是遥感科学的重要分支。文章回顾了农业遥感研究的百年发展历程,认为目前遥感在农业领域的应用广度和深度都在不断扩展,农业遥感从获取传统的总产、面积、单产等要素向更多监测要素不断深入,从传统的资源、环境向植保、农学等方向不断扩展,农业遥感正逐步成为农业科学的基础关键技术。论文从农情遥感、农业灾害遥感、农业资源环境遥感等领域全面总结了近年来中国农业遥感研究取得的成就及重要成果。从农业定量遥感、无人机遥感、作物表型遥感等方面指出了农业遥感研究发展的国际前沿,分析认为,随着传感器、物联网、互联网+、大数据、人工智能等技术的发展及现代农业发展的需求,"十三五"及未来10年,国内农业遥感技术在天空地一体化的农业遥感大数据获取、人工智能与大数据等的信息智能提取和挖掘等方面发展前景巨大。 Agricultural remote sensing is an important branch of remote sensing science. This paper reviewsthe development course of agricultural remote sensing research and puts forward that both the applicationbreadth and depth of remote sensing technique in the field of agriculture are continuously expanding.Agricultural remote sensing is going deep from monitoring single factor of production, area and yield etc. intoacquiring more agricultural elements, and is expanding from traditional resources, environment fields to plantprotection and other agricultural directions. Agricultural remote sensing is gradually becoming the keytechnology of agricultural science. This paper summarizes some important achievements of agricultural remotesensing research in China in recent years in the fields of agricultural condition remote sensing, agriculturaldisaster remote sensing and agricultural resources and environment remote sensing etc. The author presentssome international frontier studies in agricultural remote sensing, including agricultural quantitative remotesensing, UAV remote sensing and crop phenotype remote sensing and so on. At last, the author forecasts somedevelopment prospects of domestic agricultural remote sensing technology, such as agricultural big dataacquisition using the integrated space-terrestrial information network, information intelligent extraction andmining using artificial intelligence and big data and so on in"13 th Five-Year Plan"and the next 10 yearsbased on the development of sensor, networking, internet +, big data, artificial intelligence and demand ofmodern agricultural development.
作者 唐华俊
机构地区 中国农业科学院
出处 《农学学报》 2018年第1期175-179,共5页 Journal of Agriculture
关键词 农情遥感 农业灾害遥感 农业资源遥感 无人机遥感 作物表型遥感 展望 Agricultural Condition Remote Sensing Agricultural Disaster Remote Sensing Agricultural Resources Remote Sensing UAV Remote Sensing Crop Phenotype Remote Sensing Prospects
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