Knowledge Resource Center for Ecological Environment in Arid Area
Differentiating biological soil crusts in a sandy arid ecosystem based on multi- and hyperspectral remote sensing data | |
Hill, J; Udelhoven, T; Schutt, B; Yair, A | |
通讯作者 | Hill, J |
会议名称 | 1st EARSeL Workshop on Imaging Spectroscopy |
会议日期 | OCT 06-08, 1998 |
会议地点 | ZURICH, SWITZERLAND |
英文摘要 | In many dryland ecosystems biological crusts are dominating the soil surface. The ecological importance of these crusts is related to their resistance against erosion caused by wind or surface runoff, and to the protection of infiltrated rain water against excessive evaporation. This study demonstrates that optical remote sensing systems provide a good potential to assess the existence of biological soil crusts and to differentiate various types of crusts, thereby providing important information on areas of stability and disturbance in arid ecosystems. DAIS hyperspectral data acquired in August 1997 permit a thorough analysis of the reflectance signal determined by mixtures of vascular desert plants and biological crusts developed on bright background substrates. It is expected that this will resolve ambiguities about understanding the nature of the sharp contrast along the Israeli-Egyptian border observed from space. |
英文关键词 | biological soil crusts spectral unmixing crust differentiation |
来源出版物 | 1ST EARSEL WORKSHOP ON IMAGING SPECTROSCOPY |
出版年 | 1998 |
页码 | 427-+ |
ISBN | 2-908885-22-0 |
出版者 | EUROPEAN ASSOC REMOTE SENSING LABORATORIES |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Germany |
收录类别 | CPCI-S |
WOS记录号 | WOS:000166270600047 |
WOS关键词 | WESTERN NEGEV DESERT ; ISRAEL ; REFLECTANCE |
WOS类目 | Remote Sensing ; Spectroscopy |
WOS研究方向 | Remote Sensing ; Spectroscopy |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/292097 |
作者单位 | (1)Univ Trier, Remote Sensing Dept, FEUT, D-54286 Trier, Germany |
推荐引用方式 GB/T 7714 | Hill, J,Udelhoven, T,Schutt, B,et al. Differentiating biological soil crusts in a sandy arid ecosystem based on multi- and hyperspectral remote sensing data[C]:EUROPEAN ASSOC REMOTE SENSING LABORATORIES,1998:427-+. |
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