|
|||||
|
|
| 基于MODIS NDVI时序数据的青海省草地分级 | |
| 引用本文： | 卫亚星,王莉雯,刘闯.基于MODIS NDVI时序数据的青海省草地分级[J].资源科学,2008,30(5):688-693. |
| 作者姓名： | 卫亚星 王莉雯 刘闯 |
| 作者单位： | 1. 辽宁师范大学城市与环境学院,大连,116029 2. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101 3. 中国科学院地理科学与资源研究所全球变化信息研究中心,北京,100101 |
| 基金项目： | 辽宁省教育厅社会科学基金 , 科技部大型科学仪器装备与实验基地建设项目 |
| 摘 要： | 草地是陆地生态系统的重要组成部分，近几十年来，草地退化很严重，全球关注的荒漠化问题也主要是发生在草地上。本文使用MODIS NDVI数据分析了青海全省的草地状况，采用了一种密度分割的草场分级方法，将青海的草场分为10个等级，这10个等级中高一等级所代表的土地单元比低一等级所代表的土地单元草场状况好。研究结果表明，利用这种分级方法处理的图像能够较为准确地反映青海省的土地覆盖类型和一年内的物候变化规律。青海的草场可以分为3个等级，第一等是优良草场，第二等是普通草场，第三等是退化草场。每一等可以分为3级，第一等第一级的NDVI值在0．8-1．0之间，第一等第二级和第三级的NDVI值在0．7—0．8之间；第二等第一级的NDVI值在0．6-0．7之间，第二等第二级的NDVI值在0．5—0．6之间，第二等的第三级的NDVI值在0．4—0．5之间；第三等的第一级的NDVI值在0．3～0．4之间，第三等的第二级的NDVI值在0．2—0．3之间，第三等的第三级的NDVI值在0．1-0．2之间。本文提出的草地分级方法能够准确地给出冬春场和夏秋场的位置，从而可以根据NDVI值和鲜草产量模型确定产草量和理论载畜量，指导畜牧业生产。 |
| 关 键 词： | 草地 MODIS NDVI 密度分割 青海 NDVI MODIS 时序数据 青海省 草地 分级 Qinghai Province Data Time Series based Classification 畜牧业生产 指导 理论载畜量 产草量 产量模型 鲜草 位置 夏秋 冬春 |
| 文章编号： | 1007-7588(2008)05-0688-06 |
| 收稿时间： | 9/3/2007 12:00:00 AM |
| 修稿时间： | 2007年9月3日 |
Grassland Classification based on MODIS NDVI Time Series Data in Qinghai Province |
|
| WEI Ya-xing,WANG Li-wen and LIU Chuang.Grassland Classification based on MODIS NDVI Time Series Data in Qinghai Province[J].Resources Science,2008,30(5):688-693. | |
| Authors: | WEI Ya-xing WANG Li-wen and LIU Chuang |
| Abstract: | Grasslands are an important component of terrestrial ecological systems, but have become seriously degraded in recent years. Remote sensing is one of the most economical and effective ways of identifying grassland changes. This paper used 2002 MODIS NDVI images with a 1 km spatial resolution to analyze grassland cover for Qinghai Province. A density slice method was used to divide grassland in Qinghai Province into 10 grades, with higher grades representing better grassland. The results show that images processed by this classification method can precisely reflect land cover types and phenology change over the entire year. Grassland in Qinghai Province was classified into three 3 levels: 1) high quality grassland; 2) normal grassland; 3) degraded grassland. Each level was then divided into 3 sub-levels, with corresponding NDVI values. The grassland classification method used here precisely identified locations of winter-spring grassland and summer-autumn grassland. Based on NDVI and forage production models, two-season grassland yield of each county can be calculated, and theoretical grazing capacity can be determined based on grassland yield and livestock consumption amounts. In this study, grassland in Dari County of Qinghai Province was found to exhibit severe degradation. The disappearance of grass and the emergence of bare land have serious environmental consequences due to the difficulty of restoring natural grassland. This study contributes to the management of animal husbandry practices, which is essential for the protection of natural pasture and sustainable development of grassland resources. |
| Keywords: | Grassland MODIS NDVI Density Slice method Qinghai |
| 本文献已被 维普 万方数据 等数据库收录！ | |
| 点击此处可从《资源科学》浏览原始摘要信息 | |
| 点击此处可从《资源科学》下载免费的PDF全文 | |