Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/01431160310001642322 |
Monitoring infiltration rates in semiarid soils using airborne hyperspectral technology | |
Ben-Dor, E; Goldshleger, N; Braun, O; Kindel, B; Goetz, AFH; Bonfil, D; Margalit, N; Binaymini, Y; Karnieli, A; Agassi, M | |
通讯作者 | Ben-Dor, E |
来源期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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ISSN | 0143-1161 |
出版年 | 2004 |
卷号 | 25期号:13页码:2607-2624 |
英文摘要 | Loss of rain and irrigation water from cultivated fields is a matter of great concern, especially in arid and semi-arid regions. The physical crust that forms on the soil surface during rain events is one of the major causes of increased run-off and reduced water infiltration into the soil profile. Based on previous studies that showed significant correlation between crusted soil and soil reflectance properties, we performed a systematic study over Loess soil from Israel, in order to map the infiltration rate from a remote distance, using Hyperspectral ( or Imaging Spectroscopy, IS) technology. First, we simulated rain events under laboratory conditions, using the selected soil and varying rain energy treatments. After measuring the reflectance properties of the crusted soils, we developed a spectral parameter for assessment of crust status. The parameter, Normalized Spectral Area (NSA), uses the area under a ratio spectrum across the VIS-NIR spectral region ( calculated from the ratio of the crusted ( treated) soil spectrum to the non-crusted soil spectrum). The correlation between the NSA and infiltration rate values provided a significant calibration equation. Based on these results, we conducted an airborne campaign, employing the AISA imaging scanner adjusted to 30-channel data in the VIS-NIR, and established control plots ( crusted and non-crusted soil) on the ground, to examine the NSA parameter for mapping the infiltration properties of Loess soils. Reasonable agreement was obtained between the two datasets ( laboratory and air), suggesting that infiltration rates can be estimated remotely. Further research is necessary to expand the analysis to other areas and conditions ( e. g. diverse CaCO3 and moisture content of soil). The paper shows that spectral reflectance information in the VIS-NIR region can be used to assess soil infiltration affected by the soil crust, in both laboratory and air domains. It is strongly suggested that future study in this regard use the full optical range (VIS-NIR-SWIR-TIR), as well as a spectral library of crusted soils collected in or within the rain simulator environment. |
类型 | Article |
语种 | 英语 |
国家 | Israel ; USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000221863100009 |
WOS关键词 | SCANNING ELECTRON-MICROSCOPE ; SPECTRAL REFLECTANCE ; CRUSTS ; RAINFALL ; REGION |
WOS类目 | Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | Ben-Gurion University of the Negev |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/147041 |
作者单位 | (1)Tel Aviv Univ, Dept Geog & Human Environm, IL-69978 Tel Aviv, Israel;(2)CO Rupin Coll, Minist Agr, Soil Conservat & Drainage Div, Soil Eros Res Stn, IL-40250 Emek Hefer, Israel;(3)Bar Kal Syst Engn Ltd, IL-42504 Netanya, Israel;(4)Univ Colorado, Cooperat Inst Res Environm Sci, Ctr Study Earth Space, Boulder, CO 80309 USA;(5)Agr Res Org, Dept Field Crops & Nat Resources, Gilat Res Ctr, IL-85280 Negev, Israel;(6)Ben Gurion Univ Negev, Jacob Blaustein Inst Desert Res, Remote Sensing Lab, IL-84990 Sede Boqer, Israel |
推荐引用方式 GB/T 7714 | Ben-Dor, E,Goldshleger, N,Braun, O,et al. Monitoring infiltration rates in semiarid soils using airborne hyperspectral technology[J]. Ben-Gurion University of the Negev,2004,25(13):2607-2624. |
APA | Ben-Dor, E.,Goldshleger, N.,Braun, O.,Kindel, B.,Goetz, AFH.,...&Agassi, M.(2004).Monitoring infiltration rates in semiarid soils using airborne hyperspectral technology.INTERNATIONAL JOURNAL OF REMOTE SENSING,25(13),2607-2624. |
MLA | Ben-Dor, E,et al."Monitoring infiltration rates in semiarid soils using airborne hyperspectral technology".INTERNATIONAL JOURNAL OF REMOTE SENSING 25.13(2004):2607-2624. |
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