首页> 外文会议>International Geoscience and Remote Sensing Symposium >Improvement on soil freeze/thaw discriminant algorithm under complex surface conditions in cold regions
【24h】

Improvement on soil freeze/thaw discriminant algorithm under complex surface conditions in cold regions

机译:寒冷地区复杂地表条件下土壤冻融判别算法的改进

获取原文

摘要

According to the microwave radiation characteristics, this paper introduced a new frozen soil dielectric model to calculate the dielectric constant of frozen and thawed soil based on the Helsinki University of Technology (HUT) microwave snow emission model. The Advanced Integrated Emission Model (AIEM) was used to calculate surface emissivity. The multi-frequency microwave radiation model and soil freeze/thaw discriminant algorithm were improved. The classification accuracies of original and improved soil freeze/thaw discriminant algorithms were validated using AMSR2 Level 3 daily gridded 0.25° brightness temperature products and the measured values obtained by ground-based microwave radiometer. The results showed that compared to the original discriminant algorithm, the frozen soil classification accuracy of the improved discriminant algorithm was effectively improved and the overall classification accuracy reached 82%. It turned out to be a comparatively reliable mode of discrimination.
机译:根据微波辐射特性,基于赫尔辛基工业大学的微波雪发射模型,引入了一种新的冻土介电模型来计算冻融土的介电常数。使用高级综合发射模型(AIEM)来计算表面发射率。改进了多频微波辐射模型和土壤冻融判别算法。使用AMSR2 3级每日栅格化0.25°亮度温度乘积以及通过地面微波辐射计获​​得的测量值来验证原始和改良的土壤冻结/融化判别算法的分类精度。结果表明,与原来的判别算法相比,改进后的判别算法有效地提高了冻土分类精度,总体分类精度达到82%。事实证明,这是一种比较可靠的歧视模式。

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