...
首页> 外文期刊>International journal of remote sensing >Analysis of VNIR (400-1100 nm) spectral signatures for estimation of soil organic matter in tropical soils of Thailand
【24h】

Analysis of VNIR (400-1100 nm) spectral signatures for estimation of soil organic matter in tropical soils of Thailand

机译:VNIR(400-1100 nm)光谱特征分析,用于估计泰国热带土壤中的有机质

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The widely available laboratory spectrometers detect targets at spectral regions restricted to visible and near-infrared (VNIR). The spectral response of soils in this region is predominantly featureless and obstructs the exploitation of absorption features as diagnostic criterion. In this study, polynomial based modelling was developed as an alternative method of estimating soil organic matter (OM) from VNIR spectral region. Forty-one core samples, collected from Lop Buri, Thailand, were subjected to chemical and radiometric analysis. Computations were made across four categories of synthesized bandwidths. The selection procedure identified bands at 960, 1100 and 520 nm as OM sensitive. The widening interval of bandwidth has corresponded with diminishing predictive power, termed 'bandwidth decay effect'. The use of polynomial models and their validations showed a higher performance than the analysis made with multiple regressions analysis. The polynomial based approach offers a fresh opportunity for modelling other non-photoactive soil nutrient parameters. Furthermore, it may form the basis for integration of spectrometers and satellite sensors, aimed at mapping of non-vegetated soils.
机译:广泛使用的实验室光谱仪可在仅限可见光和近红外(VNIR)的光谱区域检测目标。该区域土壤的光谱响应主要是无特征的,并且阻碍了利用吸收特征作为诊断标准。在这项研究中,开发了基于多项式的建模作为从VNIR光谱区域估算土壤有机质(OM)的替代方法。从泰国华富里(Lop Buri)收集的41个核心样品经过化学和放射分析。跨四类合成带宽进行了计算。选择程序将960、1100和520 nm的波段确定为OM敏感。带宽的扩展间隔与减小的预测能力相对应,称为“带宽衰减效应”。与多项回归分析相比,多项式模型的使用及其验证显示出更高的性能。基于多项式的方法为建模其他非光敏性土壤养分参数提供了新的机会。此外,它可能构成光谱仪和卫星传感器集成的基础,旨在绘制非植被土壤。

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