Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors
Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors
复制标题
使用静态和流动宇宙射线土壤湿度传感器进行多尺度土壤湿度估计
DOI：
10.5194/hess-21-6049-2017
复制
发表时间：
2017
影响因子：
6.3
通讯作者：
R. Searle
中科院分区：
文献类型：
--
作者：
D. McJannet;A. Hawdon;B. Baker;L. Renzullo;R. Searle
土壤湿度在陆面过程中起着关键作用，因此，最近卫星土壤湿度观测的数量和分辨率都有所增加，陆面过程模型的开发分辨率也不断提高。尽管取得了这些进展，但由于缺乏相应尺度的观测，这些产品的验证和校准一直受到限制。最近开发的移动的土壤湿度监测平台，称为流动站，提供了克服这一规模问题的机会。本文介绍了一个研究项目，旨在生产土壤湿度估计在一系列的规模，是相称的模型和卫星检索。我们的调查涉及静态宇宙射线中子传感器和漫游车调查在广泛的（36 × 36公里，9公里分辨率）和密集（10 × 10公里，1公里分辨率）的尺度在澳大利亚维多利亚的马利地区的种植区。我们描述的方法转换流动站调查中子计数土壤水分和讨论控制土壤水分变异的因素。测量结果显示，土壤水分的时间模式，通过时间和回归建模方法被用来产生时间序列的属性尺度土壤水分，也可能有校准和验证研究或当地农场管理中的应用。大规模流动站调查产生了1公里分辨率的可靠土壤湿度估计值，而大规模调查产生了9公里分辨率的土壤湿度估计值。我们的结论是，在这项研究中产生的多尺度土壤水分产品非常适合未来的卫星土壤水分反演和更精细的土壤水分模型的分析。
Soil moisture plays a critical role in land surface processes and as such there has been a recent increase in the number and resolution of satellite soil moisture observations and development of land surface process models with ever increasing resolution. Despite these developments, validation and calibration of these products has been limited because of a lack of observations at corresponding scales. A recently developed mobile soil moisture monitoring platform, known as the rover , offers opportunities to overcome this scale issue. This paper describes a research project aimed at producing soil moisture estimates at a range of scales that are commensurate with model and satellite retrievals. Our investigation involved static cosmic ray neutron sensors and rover surveys across both broad (36 × 36 km at 9 km resolution) and intensive (10 × 10 km at 1 km resolution) scales in a cropping district in the Mallee region of Victoria, Australia. We describe approaches for converting rover survey neutron counts to soil moisture and discuss the factors controlling soil moisture variability. Measurements revealed that temporal patterns in soil moisture were preserved through time and regression modelling approaches were utilised to produce time series of property scale soil moisture which may also have application in calibration and validation studies or local farm management. Intensive scale rover surveys produced reliable soil moisture estimates at 1 km resolution while broad scale surveys produced soil moisture estimates at 9 km resolution. We conclude that the multiscale soil moisture products produced in this study are well suited to future analysis of satellite soil moisture retrievals and finer scale soil moisture models.
影响因子：
5.4
作者：
Bogena, H. R.;Huisman, J. A.;Vereecken, H.
通讯作者：
Vereecken, H.
影响因子：
2.8
作者：
Bogena, H. R.;Herbst, M.;Vereecken, H.
通讯作者：
Vereecken, H.
影响因子：
5.4
作者：
Baatz, R.;Bogena, H. R.;Vereecken, H.
通讯作者：
Vereecken, H.