Dynamic Change Prediction of Vegetation in Fuzhou City by Markov's Models

SHA Jin-ming; LI Xiao-mei; YANG Wu-nian; JIANG Zhen-lan

您当前的位置：

首页 >

文章列表页 >

Dynamic Change Prediction of Vegetation in Fuzhou City by Markov's Models

- Dynamic Change Prediction of Vegetation in Fuzhou City by Markov's Models
- Bulletin of Soiland Water Conservation Vol. 23, Issue 5, Pages: 5-9(2004)
- 作者机构：
  
  1. 成都理工大学遥感所,四川,成都,610001
  2. 福建师范大学地理学院,福建,福州,350007
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2004
- 稿件说明：
移动端阅览
SHA Jin-ming, LI Xiao-mei, YANG Wu-nian, et al. Dynamic Change Prediction of Vegetation in Fuzhou City by Markov's Models[J]. Bulletin of Soiland Water Conservation, 2004, 23(5): 5-9.
DOI：

SHA Jin-ming, LI Xiao-mei, YANG Wu-nian, et al. Dynamic Change Prediction of Vegetation in Fuzhou City by Markov's Models[J]. Bulletin of Soiland Water Conservation, 2004, 23(5): 5-9. DOI：

摘要

利用遥感信息手段提取了1988年

2000年福州市典型样区内植被类型变化状况

并验证了植被类型的变化具有马尔可夫特性。利用马尔可夫预测模型预测了福州市未来50a内的植被类型动态变化。研究结果表明

茂密林、针阔混交林和灌木林的面积比例将有一定幅度的增加

而经济林、禾本科农作物和裸地面积将有一定比例的减少。由此可见福州市经过若干年的生态建设

植被生物量从整体上来看

呈现增加趋势

生态环境状况趋于良好。

Abstract

According to the remote sensing image information of 1998 and 2000 in Fujian Province

the changing state of vegetation species in typical districts of Fuzhou City was drawn

and it was proved that the changing of vegetation species accordes with Markov's course. The dynamic change of vegetation species of Fuzhou City in the following 50 years was predicted by Markov's model. The result indicated that the area proportion of dense woods

mixed needle leaf and broad leaf forest and bush of woods had certain increase

and the area proportion on the economic forest

grass family crops and naked land will have certain reduction. Therefore after the ecological construction for several years

the vegetation productivity of Fuzhou City from the whole aspect

will present the increasing trend and ecological environment towards good condition.

关键词

Keywords

references

Views

1696

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatial gradient effects of construction and long-term operation of alpine wind farms on vegetation and soil physicochemical properties——A case study of Modou Mountain， Yunnan Province

Spatiotemporal variation trends and driving factors of fractional vegetation cover in Jiangsu Province from 2013 to 2022

Using TM to Monitor the Desertification in West China

Remote Sensing Classification Method of Slope Field in Loess Hilly and Gully Area of Northern Shaanxi Province

Eco-vegetation Project on Water-level-fluctuating Zone of Three Gorges Reservoir

Related Author

Yang Chen

Shi Juan

Zhao Jueheng

Zhang Yunlong

Jing Jingying

Zhu Ji

Deng Furong

Zhao Chenxu

Related Institution

College of Grassland Science and Technology， China Agricultural University

Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring/School of Land Science and Space Planning， Hebei GEO University

Urban and Resources Sciences Department of Nanjing University

Department of Graduate Student, Changan University, Xian

Department of Environment and Engineering, Changan University, Xian

Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
Total Visits：58143 Visits Today：249 Online Users：4

⁰