检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:沙莎 胡蝶[2] 王丽娟[2] 郭铌[2] 王小平[2] 王玮[2] Sha Sha;Hu Die;Wang Lijuan;Guo Ni;Wang Xiaoping;Wang Wei(Henan Provincial Key Laboratory of Agrometeorological Support and Applied Technique,CMA,Zhengzhou 450000,China;Institute of Arid Meteorology,CMA,Key Laboratory of Arid Climate Change and Reducing Disaster of Gansu Province,Key Laboratory of Arid Climate Change and Disaster Reduction of CMA,Lanzhou 730020,China)
机构地区:[1]中国气象局·河南省农业气象保障与应用技术重点开放实验室,郑州450000 [2]中国气象局兰州干旱气象研究所,甘肃省干旱气候与减灾重点实验室,中国气象局干旱气候与减灾重点实验室,兰州730020
出 处:《气象与环境科学》2023年第1期91-99,共9页Meteorological and Environmental Sciences
基 金:中国气象局/河南省农业气象保障与应用技术重点开放实验室开放研究基金课题(AMF201707);公益性行业(气象)科研专项(重大专项)(GYHY201506001-5);国家自然科学基金青年项目(41805086、42105131)。
摘 要:TVDI指数是一种将植被指数和地表温度相结合的土壤水分监测方法,以往学者多以归一化植被指数和地表温度来构建计算TVDI指数的特征空间。在前人研究基础上,利用归一化植被指数、增强型植被指数、比值植被指数、土壤调节植被指数、归一化水分指数等多种植被指数与地表温度及昼夜温差的不同组合来构建特征空间,尝试找到更加适合河南省进行土壤水分监测的特征空间组合。经过分析得到以下结论:(1)昼夜温差与植被指数构建的特征空间不能改进研究区TVDI指数对土壤水分的指示精度。(2)RVI_b2b1-LST、RVI_b2b7-LST、SAVI-LST、EVI-LST等特征空间计算的TVDI对河南省农地类型下垫面有较好的空间适用性,但反演值较实测值偏低。(3)TVDI指数在冬小麦扬花和灌浆成熟期(45月)有较好适用性,在冬小麦播种越冬期的10月、1月有一定适用性,在夏玉米生长期(69月)适用性差。Temperature vegetation dryness index(TVDI)is a soil moisture monitoring method that combines vegetation index(VI)and surface temperature.Scholars previously used normalized differential vegetation index(NDVI)and land surface temperature(LST)to construct the feature space to calculate TVDI.On the basis of the previous studies,this paper uses the combinations of various VIs,such as NDVI,enhanced vegetation index(EVI),ratio vegetation index(RVI),soil adjusting vegetation index(SAVI),and normalized differential water index(NDWI),and land surface temperature and diurnal temperature difference to construct the feature space and tries to determine a feature space combination that is more suitable for soil moisture monitoring in Henan Province.After analysis,the following conclusions are drawn.(1)The feature space constructed by diurnal temperature difference and vegetation index can’t improve the indication accuracy of TVDI index for soil moisture in the study area.(2)The TVDI calculated by RVI_b2b1-LST,RVI_b2b7-LST,SAVI-LST,EVI-LST feature spaces have good spatial applicability to the underlying surface of agricultural land types in Henan Province.However,the inversion value is lower than the measured value.(3)TVDI index has good applicability in the flowering to grain filling and maturation period(April to May)of Winter Wheat,and has certain applicability in winter wheat seeding period(October)and overwintering period(January),but poor applicability in summer maize growing period(June to September).
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.16.48.163