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基于MODIS增强型植被指数的青海省牧草产量估产研究
引用本文:杨英莲,邱新法,殷青军.基于MODIS增强型植被指数的青海省牧草产量估产研究[J].气象,2007,33(6):102-106.
作者姓名:杨英莲  邱新法  殷青军
作者单位:1. 南京信息工程大学资源环境与城乡规划系,210044;中国大气本底基准观象台
2. 南京信息工程大学空间信息系
3. 青海师范大学
基金项目:中国气象局推广项目;科技部科技公益研究专项
摘    要:利用青海省22个生态环境监测站在2003和2004年牧草生长季内各月所测的牧草鲜草产量数据,并搜集了该时段内逐日的MODIS遥感数据,通过对图像的预处理,云区识别,植被指数的计算及月最大植被指数的合成,形成了与牧草产量数据相对应的MODIS EVI数据。然后按牧草生长季和草地类型建立了牧草鲜草产量与MODIS植被指数的关系模型。结果表明,牧草产量和MODIS EVI之间存在较高的相关性,用指数函数建立产量模型效果较好。按牧草生长季建立的牧草产量检测模型比按草地类型建立的模型相关性要高。

关 键 词:植被指数  牧草产量  监测模型
收稿时间:2/6/2007 12:00:00 AM
修稿时间:2007-02-062007-03-20

Study on Monitoring System of Qinghai Grassland Output Based on MODIS EVI Data
Yang Yinglian,Qiu Xinfa and Yin Qingjun.Study on Monitoring System of Qinghai Grassland Output Based on MODIS EVI Data[J].Meteorological Monthly,2007,33(6):102-106.
Authors:Yang Yinglian  Qiu Xinfa and Yin Qingjun
Abstract:Qinghai Province is one of five largest pasturing areas and ranks fourth in China. It is of great importance to learn the growth status of grass in time to eco-environment protection and sustainable development of stock raising. Based on the data of fresh grass weight per square meter from 22 eco-environmental monitoring stations (which were established by Qinghai Meteorological Bureau in 2002) during grass growing season from 2003 to 2004, as well as the same period of MODIS data, by preprocessing,cloud detecting, EVI computing and monthly maximum EVI compositing, MODIS EVI data were obtained corresponding to grass output data. The relationship between grassland output and EVI was established according to the grass growing season and grassland type. The results show that grassland output have a good correlation with MODIS EVI, and it can be better described by the exponential function. Furthermore, the grassland output model based on the grass growing season is better than that of based on grassland type.
Keywords:MODIS
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