长江中下游典型地区水稻纹枯病生境评价多源数据集  

Multi-source datasets for habitat evaluation of rice sheath blight in typical areas of the middle and lower reaches of the Yangtze River

作　　者：田洋洋 张静文 张雪雪 彭代亮 陈雷[3] 张竞成 Tian Yangyang;Zhang Jingwen;Zhang Xuexue;Peng Dailiang;Chen Lei;Zhang Jingcheng(College of Automation,Hangzhou Dianzi University,Hangzhou 310018,P.R.China;Digital Earth Key Laboratory,Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences,Beijing 100094,P.R.China;Hefei Institute of Physical Science,Chinese Academy of Sciences,Hefei 230031,P.R.China)

机构地区：[1]杭州电子科技大学自动化学院,杭州310018 [2]中国科学院遥感与数字地球研究所数字地球重点实验室,北京100094 [3]中国科学院合肥智能机械研究所,合肥230031

出　　处：《中国科学数据（中英文网络版）》2019年第4期88-101,共14页China Scientific Data

基　　金：十三五中国科学院信息化专项(XXH13505-03-104);国家自然科学基金(41671415);国家重点研发计划政府间国际科技创新合作重点项目(2017YFE0122400)

摘　　要：水稻是当今世界最重要的粮食作物之一,而水稻纹枯病是制约水稻高产、优质的重要因素,近年来,水稻病虫害发生频繁,给水稻产量带来严重损失。本数据以长江中下游典型地区为研究区域,基于Landsat-8 OLI、Sentinel-2光学遥感影像数据、MODIS地表温度产品、地面气象站气象数据和水稻纹枯病发病情况调查数据,整理分析形成了与水稻纹枯病生境相关的数据集,包括水稻种植范围及耕作类型数据、水稻生长状况数据、地表温度数据、气象数据等。为大范围水稻病害生境评价等研究提供完整有效的数据支持。Rice is one of the most important grain crops in the world,while rice sheath blight is an vital factor restricting the yield and quality of rice.In recent years,rice pests and diseases occur frequently,causing serious loss of rice yield.Based on Landsat-8 OLI,sentinel-2 optical remote sensing image data,MODIS surface temperature products,meteorological data of surface meteorological station and rice sheath blight incidence investigation data,this study takes typical areas in the middle and lower reaches of the Yangtze river as research areas.The datasets related to rice sheath blight habitats were formed on the basis of sorting and analysis,including rice planting range and tillage type,rice growth condition,surface temperature,meteorological data,etc.,which can provide complete and effective data support for large-scale rice disease habitat evaluation and other researches.

关 键 词：遥感 气象 生境 水稻纹枯病 

分 类 号：S435.111.42[农业科学—农业昆虫与害虫防治]