Arid
DOI10.1117/12.689580
Assessment of pasture degradation in Turkmenistan using remote sensing
Kaplan, Shai1; Orlovsky, Lea1; Blumberg, Dan G.2; Mamedov, Elmar3
通讯作者Kaplan, Shai
会议名称Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI
会议日期SEP 13-14, 2006
会议地点Stockholm, SWEDEN
英文摘要

Nomadic and semi-nomadic livestock breeding is a significant income for Turkmenistan's economy. Thus, natural vegetation is an important resource for the area. The natural desert pastures of Turkmenistan have limited carrying capacity, and any changes of the fragile balance can lead to the destruction of this valuable resource. Since the 1980's, no research has been carried out concerning the ongoing changes of vegetation cover despite dramatic political and economical changes that took place throughout central Asia. The primary results of this research show the potential of remote sensing in general and specifically Spectral Mixture Analysis (SMA) for vegetation mapping. The information on vegetation change is important to quantify man-nature relationship. From this information vegetation cover is a useful indicator of the magnitude of change. Landsat TM and ETM+ images were processed, and maps of land use/land cover changes in northern Turkmenistan were produced. From the 1970's about 4000 km(2) of natural pastures were transformed into irrigated agricultural land, theoretically increasing the grazing pressure in the remaining areas. By applying SMA based on field end-members signatures, a sub-pixel fraction was obtained for each end-member. Our results indicate that most of the desert experiences vegetation rehabilitation.


英文关键词pasture degradation vegetation monitoring remote sensing Spectral Mixture Analysis
来源出版物REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS AND GEOLOGY VI
ISSN0277-786X
EISSN1996-756X
出版年2006
卷号6366
ISBN0-8194-6461-9
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家Israel;Turkmenistan
收录类别CPCI-S
WOS记录号WOS:000242031400004
WOS关键词VEGETATION ; IMAGES
WOS类目Environmental Sciences ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/296239
作者单位1.Ben Gurion Univ Negev, Blaustein Inst Desert Res, Dept Solar Energy & Environm Phys, Sede Boqer, Israel;
2.Ben Gurion Univ Negev, Dept Geog & Environm Dev, Beer Sheva, Israel;
3.Minist Nat Protect, Natl Inst Deserts Flora & Faun, Ashkhabad, Turkmenistan
推荐引用方式
GB/T 7714
Kaplan, Shai,Orlovsky, Lea,Blumberg, Dan G.,et al. Assessment of pasture degradation in Turkmenistan using remote sensing[C]:SPIE-INT SOC OPTICAL ENGINEERING,2006.
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