The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China
The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China
复制标题
卫星土壤湿度反演在检测中国灌溉模式方面的潜在用途
DOI：
10.3390/w10111505
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发表时间：
2018-10
期刊：
影响因子：
3.4
通讯作者：
Jiashun
中科院分区：
文献类型：
--
作者：
Zhang;Xiaohu;Qiu;Jianxiu;Leng;Guoyong;Yang;Yongmin;Gao;Quanzhou;Fan;Yue;Luo;Jiashun
气候变化和人类活动，包括农业灌溉，已经大大改变了全球和区域的水文循环。然而，人类活动对自然环境的影响并没有很好地体现在陆面模式（LSM）中。在这项研究中，我们利用微波为基础的土壤水分产品，以帮助在中国各地的代表性不足的灌溉过程的检测。本研究中使用的卫星检索包括来自地球观测系统高级微波扫描辐射计（AMSR-E）及其后继者AMSR 2的被动微波观测，来自高级散射计（ASCAT）的主动微波观测，以及来自欧洲航天局的混合多传感器土壤水分产品（即，ESA CCI产品）。我们首先进行了验证的三个土壤水分反演对原位观测（收集自全国农业气象网）在中国的灌溉地区。结果表明，与传统的斯皮尔曼秩相关和皮尔逊相关系数相比，基于熵的互信息更适合于评价灌溉引起的土壤水分异常。在一般情况下，约60%的不确定性异常的“地面实况”时间序列可以解决土壤水分反演，ASCAT优于其他。在此之后，在绘制灌溉模式在中国的土壤水分反演的潜在效用进行了研究，通过检查土壤水分反演的概率分布函数（检测两个样本的Kolmogorov-Smirnov检验）之间的差异和基准的数值模型ERA-Interim不考虑灌溉过程。结果表明，微波遥感提供了一个很有前途的替代检测代表性不足的灌溉过程对参考LSM ERA-Interim。在黄淮海平原地区，ASCAT的灌溉强度检测性能最好，其次是先进微波扫描辐射计（AMSR）和ESA CCI。与ASCAT相比，由于AMSR的土壤水分反演算法是基于地表温度的，受灌溉条件的影响更大，因此AMSR的灌溉检测能力在下降轨道和上升轨道之间表现出更大的差异。这项研究提供了深入的见解，利用微波土壤水分与LSM模拟的帮助下，这对全国各地的数值模型的发展和农业管理有很大的影响。
Climate change and anthropogenic activities, including agricultural irrigation have significantly altered the global and regional hydrological cycle. However, human-induced modification to the natural environment is not well represented in land surface models (LSMs). In this study, we utilize microwave-based soil moisture products to aid the detection of under-represented irrigation processes throughout China. The satellite retrievals used in this study include passive microwave observations from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and its successor AMSR2, active microwave observations from the Advanced Scatterometer (ASCAT), and the blended multi-sensor soil moisture product from the European Space Agency (i.e., ESA CCI product). We first conducted validations of the three soil moisture retrievals against in-situ observations (collected from the nationwide agro-meteorological network) in irrigated areas in China. It is found that compared to the conventional Spearman’s rank correlation and Pearson correlation coefficients, entropy-based mutual information is more suitable for evaluating soil moisture anomalies induced by irrigation. In general, around 60% of uncertainties in the anomaly of “ground truth” time series can be resolved by soil moisture retrievals, with ASCAT outperforming the others. Following this, the potential utility of soil moisture retrievals in mapping irrigation patterns in China is investigated by examining the difference in probability distribution functions (detected by two-sample Kolmogorov-Smirnov test) between soil moisture retrievals and benchmarks of the numerical model ERA-Interim without considering the irrigation process. Results show that microwave remote sensing provides a promising alternative to detect the under-represented irrigation process against the reference LSM ERA-Interim. Specifically, the highest performance in detecting irrigation intensity is found when using ASCAT in Huang-Huai-Hai Plain, followed by advanced microwave scanning radiometer (AMSR) and ESA CCI. Compared to ASCAT, the irrigation detection capabilities of AMSR exhibit higher discrepancies between descending and ascending orbits, since the soil moisture retrieval algorithm of AMSR is based on surface temperature and, thus, more affected by irrigation practices. This study provides insights into detecting the irrigation extent using microwave-based soil moisture with aid of LSM simulations, which has great implications for numerical model development and agricultural managements across the country.
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影响因子：
4.6
作者：
B. Cook;M. Puma;N. Krakauer
通讯作者：
B. Cook;M. Puma;N. Krakauer
探索不同空间尺度土壤湿度的时空模式和物理控制
影响因子：
3.4
作者：
Qiu, Jianxiu;Mo, Xingguo;Liu, Suxia;Lin, Zhonghui
通讯作者：
Lin, Zhonghui
DOI：
10.5194/hess-2018-388
发表时间：
2018-08
期刊：
--
影响因子：
--
作者：
Felix Zaussinger;W. Dorigo;A. Gruber;A. Tarpanelli;Paolo Filippucci;L. Brocca
通讯作者：
Felix Zaussinger;W. Dorigo;A. Gruber;A. Tarpanelli;Paolo Filippucci;L. Brocca
DOI：
10.2307/2986705
发表时间：
1967
期刊：
--
影响因子：
--
作者：
D. Brillinger;I. Chakravarti;R. Laha;J. Roy
通讯作者：
D. Brillinger;I. Chakravarti;R. Laha;J. Roy
影响因子：
3.8
作者：
Christoph Rüdiger;J. Calvet;C. Gruhier;T. Holmes;R. Jeu;W. Wagner
通讯作者：
Christoph Rüdiger;J. Calvet;C. Gruhier;T. Holmes;R. Jeu;W. Wagner