Grassland Vitality Monitoring Based on Remote Sensing in Manas River Basin in Northern Slope of Tianshan Mountain

Tuerxun·; Aishan; Tureniguli·; Amuti; Maimaiti·; Shawuti; LI Jing; TIAN Yuan

doi:10.13961/j.cnki.stbctb.2016.05.031

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Grassland Vitality Monitoring Based on Remote Sensing in Manas River Basin in Northern Slope of Tianshan Mountain

- Grassland Vitality Monitoring Based on Remote Sensing in Manas River Basin in Northern Slope of Tianshan Mountain
- Bulletin of Soiland Water Conservation Vol. 36, Issue 5, Pages: 140-145(2016)
- 作者机构：
  
  1. 新疆维吾尔自治区农业资源区划办公室,新疆,乌鲁木齐,830004
  2. 农业部遥感应用中心乌鲁木齐分中心,新疆,乌鲁木齐,830004
  3. 新疆师范大学地理科学与旅游学院,新疆,乌鲁木齐,830054
  4. 新疆大学资源与环境科学学院,新疆,乌鲁木齐,830046
  5. 绿洲生态教育部重点实验室,新疆,乌鲁木齐,830046
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2016.05.031
  CLC：
- Published：2016
- 稿件说明：
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Tuerxun·, Aishan, Tureniguli·, et al. Grassland Vitality Monitoring Based on Remote Sensing in Manas River Basin in Northern Slope of Tianshan Mountain[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 140-145.
DOI：

Tuerxun·, Aishan, Tureniguli·, et al. Grassland Vitality Monitoring Based on Remote Sensing in Manas River Basin in Northern Slope of Tianshan Mountain[J]. Bulletin of Soiland Water Conservation, 2016, 36(5): 140-145. DOI： 10.13961/j.cnki.stbctb.2016.05.031.

摘要

[目的

]

进行国产高分1号遥感数据在草地长势监测方面的应用研究，为维持草地畜牧业可持续发展、维护草原生态平衡提供科学依据。[方法

]

以新疆典型草原区-玛纳斯河流域为研究靶区，在“3S”技术支持下，利用高分一号卫星数据的优越性及野外调查数据，进行国产高分一号遥感数据在草地长势监测方面的应用研究。[结果

]

研究区2014年草地长势比2013年差一些，2014年长势比2013年差的草地面积为209 074.7 hm

，占研究区草地总面积的13.21%。研究区2013-2014年各类草地类型长势情况的结果显示，比2013年长势差的面积最大的草地类型是温性荒漠草原，面积为109 224.6 hm

，占温性荒漠草原面积的36.8%，研究区草地总面积的6.9%。[结论

]

研究区草地长势监测精度比较高，即，88.6%以上，高分1号卫星数据是一个草地长势监测的有效数据。

Abstract

[Objective] We analyzed the grassland vitality by using the domestic GF-1 remote sensing imagery data in order to provide the scientific basis for preserving the sustainable development of animal husbandry and maintaining the regional ecological balance.[Methods] The typical steppe area of Manasi River basin in Xinjing region was selected as the study area. Based the "3S" technology

GF-1 remote sensing images in 2013 and 2014 were collected and the field survey was conducted to monitor the growth of grassland.[Results] The growth of grassland in 2014 was poorer than that in 2013

and the area of grassland with poor growth was 209 074.7 hm2 in 2014 more than that in 2013

which accounts for 13.21% of the total area of grassland in the study area. Comparatively

the largest area with poorer grass growth in 2014 was temperate desert grassland

which was about 109 224.6 hm2

accounted for 36.8% of the temperate desert grassland and 6.9% of the total grassland in the study area.[Conclusion] The monitoring accuracy of grassland vitality in the study area is high

which is more than 88.6%

indicating that GF-1 remote sensing imagery data is useful in the monitoring of grassland growth.

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