Arid
DOI10.1016/j.rse.2007.08.007
Typology of oases in northern Oman based on Landsat and SRTM imagery and geological survey data
Luedeling, Eike; Buerkert, Andreas
通讯作者Luedeling, Eike
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2008
卷号112期号:3页码:1181-1195
英文摘要

In the desert country of Oman, available water resources are scarce and scattered. In most locations where water can be accessed, this resource is harnessed by oases planted to date palm (Phoenix dactylifera L.) and other crops. So far, little is known about the site-specific conditions determining the existence, size and type of these oases. Remote sensing and image processing techniques were used to locate oases, to characterize the sites according to their topographic, hydrologic and geologic characteristics and to develop a typology of oases in nor-them Oman.


To derive oasis positions, we calculated the Normalized Difference Vegetation Index (NDVI) of Landsat images covering all of northern Oman, subtracted a regional average NDVI, averaged the resulting grid over 3 x 3 pixels and extracted the brightest of five classes determined by a natural breaks algorithm. A buffer of six pixels was added to the oases and the vegetated area as determined by the NDVI was summarized for these polygons. The oasis detection procedure was validated using Google Earth Pro (R). Topographic information was derived from data of the Shuttle Radar Topography Mission (SRTM), complemented by digitized Russian military maps, from which mean elevations and elevation range above the oases within a buffer of 2 km were extracted.


Water contributing upslope area and distance to streams with catchments of 10 km(2) and 100 km(2) were derived from the same elevation model. All geologic formations of northern Oman were assigned to one of 7 groups and tested for influence on vegetation surrounding them. Four such geologic settings were identified and described by categorical variables. All input parameters were used to define oasis types based on cluster analysis.


Our algorithm detected 2663 oases in northern Oman, of which 2428 had vegetated areas of more than 0.4 ha, the minimum size for reliable detection. The oases were subdivided into six groups. ’Plain Oases’ (49% of all oases) lie mostly in the plains east and west of the mountains, and are fed by groundwater flow in Quaternary sediments. ’Foothill Oases’ (46%) are scattered over the foothills, where they draw their water from groundwater flow that is channeled by rock formations. ’Mountain Oases’ (3%) and ’Kawr Oases’ (0.5%) lie in the mountains, close to an unconform boundary between limestones and confining rocks. ’Drainage Oases’ (0.3%) are the largest oases in northern Oman. They lie close to a drainage channel, which drains the entire area west of the mountains. Finally, ’Urban Oases’ (1.7%) consist of parks and sporting facilities, which do not lie in conclusive hydrologic settings. (C) 2007 Elsevier Inc. All rights reserved.


英文关键词geology hydrology Landsat imagery Normalized Difference Vegetation Index (NDVI) oasis agriculture Shuttle Radar Topography Mission (SRTM)
类型Article
语种英语
国家Germany
收录类别SCI-E
WOS记录号WOS:000254443700043
WOS关键词MOUNTAIN OASIS ; EVOLUTION ; AGRICULTURE ; CYCLE
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/159037
作者单位Univ Kassel, D-37213 Witzenhausen, Germany
推荐引用方式
GB/T 7714
Luedeling, Eike,Buerkert, Andreas. Typology of oases in northern Oman based on Landsat and SRTM imagery and geological survey data[J],2008,112(3):1181-1195.
APA Luedeling, Eike,&Buerkert, Andreas.(2008).Typology of oases in northern Oman based on Landsat and SRTM imagery and geological survey data.REMOTE SENSING OF ENVIRONMENT,112(3),1181-1195.
MLA Luedeling, Eike,et al."Typology of oases in northern Oman based on Landsat and SRTM imagery and geological survey data".REMOTE SENSING OF ENVIRONMENT 112.3(2008):1181-1195.
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