基于RS与像元二分模型的近20 a宁夏植被覆盖研究

候静; 杜灵通; 马菁; 张学俭

doi:10.13961/j.cnki.stbctb.2015.05.089

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基于RS与像元二分模型的近20 a宁夏植被覆盖研究

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- 基于RS与像元二分模型的近20 a宁夏植被覆盖研究
- A Study on Vegetation Coverage in Ningxia Hui Autonomous Region During Past 20 Years Based on Remote Sensing and Dimidiate Pixel Model
- 水土保持通报 2015年35卷第5期页码：127-132
- 作者机构：
  
  1. 宁夏大学西北土地退化与生态恢复省部共建国家重点实验室培育基地/西北退化生态系统恢复与重建教育部重点实验室/西部生态与生物资源开发联合研究中心,宁夏,银川,750021
  2. 宁夏农林科学院,宁夏,银川,750021
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目"干旱半干旱地区农业干旱时空信息演化规律及其对气候变化的响应研究:以宁夏为例"(41201438);宁夏自然科学资助项目(NZ14206);宁夏高等学校科学研究重点项目(NGY2014001);宁夏大学研究生创新项目(GIP2015041)
- DOI：10.13961/j.cnki.stbctb.2015.05.089
  中图分类号：
- 纸质出版：2015
- 稿件说明：
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候静, 杜灵通, 马菁, 等. 基于RS与像元二分模型的近20 a宁夏植被覆盖研究[J]. 水土保持通报, 2015,35(5):127-132.

HOU Jing, DU Lingtong, MA Jing, et al. A Study on Vegetation Coverage in Ningxia Hui Autonomous Region During Past 20 Years Based on Remote Sensing and Dimidiate Pixel Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(5): 127-132.
候静, 杜灵通, 马菁, 等. 基于RS与像元二分模型的近20 a宁夏植被覆盖研究[J]. 水土保持通报, 2015,35(5):127-132. DOI： 10.13961/j.cnki.stbctb.2015.05.089.

HOU Jing, DU Lingtong, MA Jing, et al. A Study on Vegetation Coverage in Ningxia Hui Autonomous Region During Past 20 Years Based on Remote Sensing and Dimidiate Pixel Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(5): 127-132. DOI： 10.13961/j.cnki.stbctb.2015.05.089.

摘要

[目的

]

探讨近20 a宁夏植被变化特征及其对气候的响应情况

为了解区域生态变化态势

评估生态工程成效提供理论基础和科学依据。[方法

]

利用1992

2000

2006和2012年的TM数据

基于植被指数估算植被覆盖度的原理

运用像元二分模型

对宁夏植被覆盖度进行遥感估算和动态监测。[结果

]

宁夏植被覆盖呈现南北好

中部差的空间分布特点;近20 a来宁夏的植被覆盖度表现出明显的增加趋势

即低植被覆盖区的面积在逐渐减少

中、高植被覆盖区的面积增加了6434 km

全区平均植被覆盖度提高6%

其中扬黄灌区及南部山区植被覆盖增加幅度较大。[结论

]

宁夏植被覆盖度的增加主要得益于近年来实施的一系列植被保护和生态恢复工程

而降水量的变化则是引起植被覆盖度年际波动的主要因素。

Abstract

[Objective] The aims of this study is to investigate the dynamic change of vegetation coverage and its response to climate change during the past 20 years in Ningxia Hui Autonomous Region in order to provide theoretical foundation and scientific basis for understanding the regional ecological change trend and evaluating of ecological engineering.[Methods] Remote sensing data used in the study was Landsat TM in 1992

2000

2006 and 2012. Based on dimidiate pixel model

different vegetation indices for estimating vegetation coverage was calculated

and the dynamic changes of vegetation coverage were monitored.[Results] High vegetation cover was found in the northern and southern parts of Ningxia Hui Autonomous Region

in contrast

the lowest vegetation cover was found in the middle part the region. Vegetation cover increased significantly during past 20 years

with the low vegetation cover area decreased gradually while the middle-and high-vegetation cover area increased about 6434 km2. The average vegetation cover in the whole region increased by 6%. In particular

vegetation cover in the Yellow River irrigation area of Northern Ningxia and mountainous area of Southern Ningxia increased by a large margin.[Conclusion] The vegetation increase in the study area is benefit from the implementation of a series of vegetation protection and ecological restoration projects in recent years. The annual change in vegetation coverage is mainly caused by the variation of precipitation.

关键词

Keywords

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