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《Agricultural Outlook》 2019-08
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Analyses and Prospects of Extreme Climate Disasters and the Plan of Storing Grain among the People from the Perspective of Rural Revitalization Strategy

Mao Kebiao;Tian Shiying;Yuan Zijin;Wang Han;Tan Xuelan;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences;College of Resources & Environment, Hunan Agricultural University;Agricultural Information Institute, Chinese Academy of Agricultural Sciences;  
Sino-US trade war in 2018 and climate change have a great impact on China's grain production.Extreme weather events such as droughts and floods, frequent pests and diseases, and the gradual increase of extreme climate change will bring many serious challenges to China's future grain production. In general, the Sino-US trade war and extreme climate have had a great impact on China's grain production and agricultural development strategies, with the increase of extreme weather events and trade frictions in recent years, it is very important to protect agricultural production. Due to the geographical remoteness and time urgency of extreme disasters, in order to alleviate China's food security pressure and promote rural revitalization in China, through the analysis of the characteristics of extreme weather and natural disasters, the authors proposed private food security and rural revitalization civil plans and strategies that would be suitable for China's rural areas by establishing a mutual insurance agreement between urban and rural residents and revitalizing China's rural economy.
【Fund】: 国家自然科学基金项目(41571427)
【CateGory Index】: S42;F326.11
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 Mao Kebiao~(* ** ******), Hu Deyong~(***), Huang Jianxi~(****), Zhang Wu~(**), Zhang Lixin~(***** ******), Zou Jingqiu~*, Tang Huajun~* (* Key Laboratory of Dryland Fanning and Water-Saving Agriculture, Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Institute of Agricultural Resources and Regional Planning, CAAS, Beijing 100081) (** Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, Lanzhou University, Lanzhou 730000) (*** College of Resource Environment & Tourism, Capital Normal University, Beijing 100048) (**** College of Information and Electrical Engineering, China Agricultural University, Beijing 100083) (***** School of Geography, Beijing Normal University, Beijing 100875) (****** State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101);An algorithm for retrieving soil moisture from AMSR-E passive microwave data[J];高技术通讯;2010-06
【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 XU Xiao-xun;ZHANG Ping;XU Jing-wen;HUANG Fei;NING Li;College of Resources and Environment,Sichuan Agricultural University;;Soil Moisture Retrieval Based on Passive Microwave Remote Sensing and BP Neural Network——A Case Study from Sichuan Middle Hilly Area[J];西南农业学报;2014-06
2 ZHANG Tao1,2,ZHANG LiXin1,2,JIANG LingMei1,2,ZHAO ShaoJie1,2,ZHAO TianJie1,2 & LI YunQing1,2 1 State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences,Beijing 100875,China;2 School of Geography and Remote Sensing Science,Beijing Normal University,Beijing 100875,China;Effects of spatial distribution of soil parameters on soil moisture retrieval from passive microwave remote sensing[J];Science China(Earth Sciences);2012-08
3 WEI Wei,ZHOU Qing-bo,MAO Ke-biao(Key Laboratory of Resources Remote Sensing and Digital Agriculture,MOA, Institute of Agricultural Resources and Regional Planning,CAAS,Beijing 100081);Retrieval of Bare Soil Moisture Using Normalized Microwave Difference Index and Surface Emission Model[J];遥感信息;2012-03
4 Zhao Jiepeng,Zhang Xianfeng,Liao Chunhua,Bao Huiyi (Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China);TVDI based Soil Moisture Retrieval from Remotely Sensed Data over Large Arid Areas[J];遥感技术与应用;2011-06
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 MAO Ke-biao ①,②,③ ,QIN Zhi-hao ①,③ ,LI Man-chun ③,XU Bin ①(①The key LAB of remote sensing and digital agriculture, China Ministry and the agriculture remote sensing laboratory;②State LAB of remote sensing science, Institute of Remote Sensing Applications, Chinese Academy of Science, Beijing, China;③International Institute for Earth System, Nanjing University, Nanjing, 210093,China);Introduction of Passive Microwave-AMSR-E and Their Research and Application Fields[J];遥感信息;2005-03
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