基于遥感和GIS的伊拉克Bahar Al-Najaf土壤图单元边界特征、分类与预测

A. S. Dawood, Dakel R. Nedewi, H. M. Hussain
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引用次数: 1

摘要

研究区位于Al-Najaf Al-Ashraf市中心西部,北纬320′8”- 310′39′16”,东经440′3′15”- 430′4′11”,面积为1970平方公里,位于Al-Najaf海内。本研究以2014年7月13日在美国地质勘测局(USGS)站点拍摄的OLI (Operational Land Imager)和TIRS (Thermal Infrared Sensor)卫星图像为基础,使用ERDAS包对研究区域进行截断,然后选择伪色复合RGB(753)混合,作为研究土壤和矿物的专家。在确定16个Pedon站点的运动路径时,进行了一些改进(辐射、光谱和空间)和非监督分类,以及使用地球指标,如土壤颜色、质地和自然植物等实地视角特征的异质性,以及地形因素。结果表明,在同一光谱范围内所研究的样地之间以及所使用的光谱带之间,光谱反射率值都存在差异,反映了所研究样地土壤特征之间的对比状态以及它们之间敏感性传感器光谱带的差异。B2、B3波段的反射率较低,说明土壤材料对B2、B3波段的吸收能力较强,因此其敏感性较低。另一方面,B5、B6波段的反射率均高于OLI传感器的其他波段。NDVI指数小于等于0.1,表明研究区大部分为裸地或低植被覆盖。热红外波段B10、B11的DN值最高,说明土壤表层盐具有热激励作用。光谱波段与砂粒、粘粒呈正相关,与粉粒、容重呈负相关。电导率与石膏在各波段呈负相关,除B2、B3波段呈正相关外,其余波段均呈负相关。方解石与各光谱波段和指数均呈正相关,与B2和NDWI指数呈负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization , Classification and Prediction of Soil Map Units Boundaries by Using Remote Sensing and GIS in Bahar Al-Najaf / Iraq
The study area is located in the west of the Al-Najaf Al-Ashraf city center, It is bounded by 32o 8’ 8” - 31o 39’ 16” N and 44o 3’ 15” – 43o 4’ 11” E, It covers an area of (1970 ) Km2 lying within the land of Al-Najaf sea. The study relied on Satellite Image for Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) which captured on 07/13/2014 from the USGS site, The study area was truncated by using ERDAS package, and followed by choose the mix of False color Composite RGB (753) to be the best being a specialist to study the soil and minerals. Some improvements have been made (radiation and spectral and spatial) and Unsupervised classification as well as the use of Earth indicators such as the heterogeneity of the characteristics of field perspective on the ground such as soil Color, texture and natural plants in addition to topographical in determining the movement paths to select 16 Pedon sites . The results showed a variation in spectral reflectivity values both between studied pidons within the same spectral range or between the spectral bands used in this study, reflecting the state of the contrast between the characteristics of soils for studied pidons as well as the variation in susceptibility sensor spectral bands among them. The reflectance of B2 , B3 bands were low comparing with others in all pedons sites, this mean that ability of soil materials to absorb them were more than the rest, for this their sensitivity appear low. On other hand, B5 , B6 bands show higher reflectivity than others of OLI sensor in all pedons sites. As the NDVI index values were 0.1 or less, this mean that most of study areas were bare soils or covered with low vegetation. Thermal Infrared bands B10 , B11 show the highest values of DN comparing with others, this identifying that soil surface salts were thermal incentive. Spectral bands appear positive correlation with sand and clay grains but negative with Silt grains and bulk density. Electrical conductivity and gypsum appear negative correlation with all bands and studied spectral indices except B2,B3 bands were positive. Calcite shows positive correlation with all spectral bands and indices, but negative with B2 and NDWI index.
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