...
首页> 外文期刊>Remote Sensing >Remote Sensing of Soil Alkalinity and Salinity in the Wuyu’er-Shuangyang River Basin, Northeast China
【24h】

Remote Sensing of Soil Alkalinity and Salinity in the Wuyu’er-Shuangyang River Basin, Northeast China

机译:乌吾尔-双阳河流域土壤碱度和盐分遥感

获取原文
   

获取外文期刊封面封底 >>

       

摘要

The Songnen Plain of the Northeast China is one of the three largest soda saline-alkali regions worldwide. To better understand soil alkalinization and salinization in this important agricultural region, it is vital to explore the distribution and variation of soil alkalinity and salinity in space and time. This study examined soil properties and identified the variables to extract soil alkalinity and salinity via physico-chemical, statistical, spectral, and image analysis. The physico-chemical and statistical results suggested that alkaline soils, coming from the main solute Na 2 CO 3 and NaHCO 3 in parent rocks, characterized the study area. The pH and electric conductivity (EC ) were correlated with both narrow band and broad band reflectance. For soil pH, the sensitive bands were in short wavelength (VIS) and the band with the highest correlation was 475 nm (r = 0.84). For soil EC, the sensitive bands were also in VIS and the band with the highest correlation was 354 nm (r = 0.84). With the stepwise regression, it was found that the pH was sensitive to reflectance of OLI band 2 and band 6, while the EC was only sensitive to band 1. The R 2 Adj (0.73 and 0.72) and root mean square error (RMSE) (0.98 and 1.07 dS/m) indicated that, the two stepwise regression models could estimate soil alkalinity and salinity with a considerable accuracy. Spatial distributions of soil alkalinity and salinity were mapped from the OLI image with the RMSE of 1.01 and 0.64 dS/m, respectively. Soil alkalinity was related to salinity but most soils in the study area were non-saline soils. The area of alkaline soils was 44.46% of the basin. Highly alkaline soils were close to the Zhalong wetland and downstream of rivers, which could become a severe concern for crop productivity in this area.
机译:东北的松嫩平原是全球三大苏打盐碱地区之一。为了更好地了解这一重要农业地区的土壤碱化和盐碱化,探索土壤碱度和盐分的时空分布和变化至关重要。这项研究检查了土壤的性质,并通过理化,统计,光谱和图像分析确定了提取土壤碱度和盐度的变量。物理化学和统计结果表明,碱性土壤来自母岩中的主要溶质Na 2 CO 3和NaHCO 3,是研究区域的特征。 pH和电导率(EC)与窄带反射率和宽带反射率都相关。对于土壤pH,敏感带为短波长(VIS),相关性最高的带为475 nm(r = 0.84)。对于土壤EC,敏感谱带也在VIS中,相关性最高的谱带为354 nm(r = 0.84)。通过逐步回归,发现pH对OLI条带2和条带6的反射率敏感,而EC仅对条带1敏感。R2 Adj(0.73和0.72)和均方根误差(RMSE) (0.98和1.07 dS / m)表明,两个逐步回归模型可以相当准确地估算土壤碱度和盐度。从OLI图像绘制了土壤碱度和盐度的空间分布图,RMSE分别为1.01和0.64 dS / m。土壤碱度与盐分有关,但研究区大多数土壤为非盐渍土。碱土面积为流域的44.46%。高碱性土壤靠近扎龙湿地和河流下游,这可能成为该地区农作物生产力的严重问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号