| 基于Wavelet-ANFIS和MODIS地表温度产品的青藏高原0 cm土壤温度估算方法 |
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| 引用本文： | 黄培培,南卓铜.基于Wavelet-ANFIS和MODIS地表温度产品的青藏高原0 cm土壤温度估算方法[J].冰川冻土,2013,35(1):74-83. |
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| 作者姓名： | 黄培培 南卓铜 |
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| 作者单位： | 1. 中国科学院 寒区旱区环境与工程研究所, 甘肃 兰州 730000;
2. 中国科学院 寒区旱区环境与工程研究所 冻土工程国家重点实验室, 甘肃 兰州 730000 |
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| 基金项目： | 冻土工程国家重点实验室开放基金项目，科技基础性工作专项 |
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| 摘 要： | 0 cm土壤温度是冻土模型的上边界条件, 连续的、 高质量的青藏高原0 cm土壤温度数据是进行准确冻土模拟的必要条件. 然而受复杂下垫面的影响, 遥感手段无法获取可靠的0 cm土壤温度. 利用自适应网络模糊推理系统(ANFIS)结合青藏高原实测资料建立遥感地表温度产品(LST)与0 cm土壤温度的关系, 以实现通过LST估算青藏高原逐日0 cm土壤温度. 研究了ANFIS的各种参数组合, 发现筛选合适的小波函数、 小波窗口、 小波层数建立起来的Wavelet-ANFIS模型能较准确实现估算0 cm土壤温度的目的. 验证表明, 估算结果与气象站点实测0 cm土壤温度绝对误差在2 K以下, 相关系数0.98以上. 考虑到原始MODIS LST误差在0~2 K之间, 该方法可以获取较为理想的0 cm土壤温度, 为冻土模型提供准确的上边界输入.
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| 关 键 词： | 小波分析 自适应网络模糊推理系统 MODIS地表温度产品 青藏高原 0 cm土壤温度 |
| 收稿时间： | 2012-08-17 |
| 修稿时间： | 2012-12-29 |
Estimation of 0-cm Soil Temperature over the Tibetan Plateau Based on the Wavelet Analysis and Adaptive Network-fuzzy Inference System |
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| HUANG Pei-pei,NAN Zhuo-tong.Estimation of 0-cm Soil Temperature over the Tibetan Plateau Based on the Wavelet Analysis and Adaptive Network-fuzzy Inference System[J].Journal of Glaciology and Geocryology,2013,35(1):74-83. |
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| Authors: | HUANG Pei-pei NAN Zhuo-tong |
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| Institution: | 1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu730000, China;
2. State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, China |
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| Abstract: | 0-cm soil temperature is the upper boundary condition of many permafrost models. Continuous, high-quality 0-cm soil temperature data are necessary inputs to simulate permafrost distribution. However, owing to the influence of complex underlying surface, remote sensing approaches cannot provide reliable 0-cm soil temperature. In this study, in order to estimate 0-cm soil temperature, adaptive network-fuzzy inference system (ANFIS) combining with the data measured in the Tibetan Plateau is used to establish the relations between remote sensing land surface temperature (LST) and 0-cm soil temperature. In this paper, different parameter combinations of ANFIS are examined, and a Wavelet-ANFIS model established by optimized wavelet functions, wavelet windows and wavelet layers is found able to estimate the 0-cm soil temperature more accurately. A comparison analysis of the estimated results and the 0-cm soil temperatures measured at the meteorological sites shows that the approach can achieve desirable estimation with an absolute error less than 2 K and a correlation coefficient greater than 0.98. In view of the original MODIS LST error range from 0 to 2 K, the proposed method may provide more accurate 0-m soil temperature inputs to permafrost models. |
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| Keywords: | wavelet analysis adaptive network-fuzzy inference system (ANFIS) MODIS land surface temperature product Tibetan Plateau 0-cm soil temperature |
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