农作物气象保障服务平台研究进展与存在的问题
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摘要
阐述了农业遥感等数据平台系统的国内外研究现状,分析了有关农业遥感大数据服务的多源遥感数据融合、作物类型精准识别、作物产量估产机理研究以及遥感大数据研究面临的技术问题,提出了气象保障大数据的尺度转换和气候变化对农业生产影响中遇到的问题。该平台的建立需要全面整合专家智慧、遥感技术、大数据、服务方式等研究理论和技术,将深刻改变农业遥感应用模式,提升气象服务能力,推动农业、气象等综合信息的广泛应用与产业化发展。
In this paper, we described the research status both home and abroad in the field of big data platform system concerning agricultural remote sensing and other information at first. And then, we analyzed the technical problems and challenges of the fusion of multi-source remote sensing data related to the agricultural remote sensing big data service, the accurate identification of crop types, the crop yield estimation mechanism research and remote sensing big data. Besides, we put forward various problems of the scale conversion related to the meteorological support big data service and the effect of climate change on agricultural production. The establishment of this platform was in need of an all-round integration of research theory and technical realization containing expert wisdom, remote sensing technology, big data, service mode and so on. This platform will profoundly change the application pattern of agricultural remote sensing, promote the meteorological service capacity and push forward the extensive application and industrialized development of comprehensive information concerning agriculture and meteorology.
In this paper, we described the research status both home and abroad in the field of big data platform system concerning agricultural remote sensing and other information at first. And then, we analyzed the technical problems and challenges of the fusion of multi-source remote sensing data related to the agricultural remote sensing big data service, the accurate identification of crop types, the crop yield estimation mechanism research and remote sensing big data. Besides, we put forward various problems of the scale conversion related to the meteorological support big data service and the effect of climate change on agricultural production. The establishment of this platform was in need of an all-round integration of research theory and technical realization containing expert wisdom, remote sensing technology, big data, service mode and so on. This platform will profoundly change the application pattern of agricultural remote sensing, promote the meteorological service capacity and push forward the extensive application and industrialized development of comprehensive information concerning agriculture and meteorology.
引文
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[13]张喜旺,刘剑锋,秦奋,等.作物类型遥感识别研究进展[J].中国农学通报, 2014,30(33):278-285
[14]齐家国,王翠珍, Yoshio I,等.光与雷达遥感协作及其农业应用[J].电波科学学报, 2004,19(4):399-404
[15]徐新刚,吴炳方,蒙继华,等.农作物单产遥感估算模型研究进展[J].农业工程学报, 2008,24(2):290-298
[16]朱建章,石强,陈凤娥,等.遥感大数据研究现状与发展趋势[J].中国图像图形学报, 2016,21(11):1 425-1 439
[17]孟斌,王劲峰.地理数据尺度转换方法研究进展[J].地理学报, 2005,60(2):277-288
[18]吴琼.对尺度及尺度转换的理解.勘探与测绘[J].地球,2014(9):256-257
[19]郭建平.气候变化对中国农业生产的影响研究进展[J].应用气象学报, 2015,26(1):1-11
[20]周广胜.气候变化对中国农业生产影响研究展望[J].气象与环境科学, 2015,38(1):80-94
[2]李芷珊.多源遥感卫星环境监测综合应用平台的设计与实现[D].上海:华东师范大学,2017
[3]邹金秋,周清波,陈仲新,等.农情遥感监测与服务系统集成研究[J].中国农业资源与区划, 2010,31(5):12-17
[4]Becker-ReshefI,JusticeC,SullivanM,etal.Monitoring Global Croplands with Coarse Resolution Earth Observations:the Global Agriculture Monitoring(GLAM)Project[J].Remote Sensing,2010,2(6):1 589-1 609
[5]Rashid A. Global Information and Early Warning System on Food and Agriculture(GIEWS)[EB/OL].(2013-08-16)[2018-05-21].http://www.fao.org/giews/en.
[6]吴炳方.中国农情遥感监测研究[J].中国科学院院刊,2004,19(3):202-205
[7]周清波,陈仲新.国家农情遥感监测与信息服务系统.中国科技成果[EB/OL].(2008-04-11)[2018-05-21].http://www.cqvip.com.
[8]WU B F, MENG J H, LI Q Z, et al. Remote Sensing-based Global Crop Monitoring:Experiences with China's Crop Watch System[J].International Journal of Digital Earth,2013,7(2):113-137
[9]气象大数据行动计划(2017~2020年).中国气象局[EB/OL].(2017-12-21)[2018-05-21].http://www.cma.gov.cn/root7/auto13139/201712/t20171221_458654.html.
[10]张浩然,李中良,邹腾飞,等.农业大数据综述[J].计算机科学, 2014,41(增刊2):387-392
[11]赵璞.浅谈农业大数据.中国农业科学院农业信息研究所[EB/OL].(2015-01-11)[2018-05-21].http://www.caas.net.cn/zt/kxjd1/250773.shtml.
[12]宋茜,周清波,吴文斌,等.农作物遥感识别中的多源数据融合研究进展[J].中国农业科学, 2015,48(6):1 122-1 135
[13]张喜旺,刘剑锋,秦奋,等.作物类型遥感识别研究进展[J].中国农学通报, 2014,30(33):278-285
[14]齐家国,王翠珍, Yoshio I,等.光与雷达遥感协作及其农业应用[J].电波科学学报, 2004,19(4):399-404
[15]徐新刚,吴炳方,蒙继华,等.农作物单产遥感估算模型研究进展[J].农业工程学报, 2008,24(2):290-298
[16]朱建章,石强,陈凤娥,等.遥感大数据研究现状与发展趋势[J].中国图像图形学报, 2016,21(11):1 425-1 439
[17]孟斌,王劲峰.地理数据尺度转换方法研究进展[J].地理学报, 2005,60(2):277-288
[18]吴琼.对尺度及尺度转换的理解.勘探与测绘[J].地球,2014(9):256-257
[19]郭建平.气候变化对中国农业生产的影响研究进展[J].应用气象学报, 2015,26(1):1-11
[20]周广胜.气候变化对中国农业生产影响研究展望[J].气象与环境科学, 2015,38(1):80-94