Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.689580 |
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 |
ISSN | 0277-786X |
EISSN | 1996-756X |
出版年 | 2006 |
卷号 | 6366 |
ISBN | 0-8194-6461-9 |
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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