A method of estimating soil moisture based on the linear decomposition of mixture pixels

Gao, Zhongling; Xu, Xingang; Wang, Jihua; Yang, Hao; Huang, Wenjiang; Feng, Huihui

doi:10.1016/j.mcm.2011.10.054

Cited by 51 publications

(27 citation statements)

References 19 publications

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“…Also, diverse works show that the longer the wavelength in the optical domain (400–2,500 nm), the better potential to detect soil moisture (e.g., Sriwongsitanon et al, ; Zhu et al, ). Thus, Band 2 (NIR) is an appropriate alternative to identify not only moist soil but also flooded areas (Amani, Parsian, Mirmazloumi, & Aieneh, ; Brakenridge & Anderson, ; Gao et al, ). It is important to note that the surface horizons of dominant soils in the study area are well‐structured clay loam and silty clay loam soils.…”

Section: Methodsmentioning

confidence: 99%

“…The relationship between reflectance in different bands of the electromagnetic radiation spectrum and surface soil moisture has been studied extensively (e.g., Gao et al, ; Lobell & Asner, ). Several studies have demonstrated that reflectance in the solar spectrum domain decreases with soil moisture increase, and this property has been used to estimate soil moisture (Ahmad, Zhang, & Nichols, ; Ghulam, Qin, Teyip, & Li, ; Jensen, ; Milfred & Kiefer, ; Weidong et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…Also, there are other issues as surface roughness effect, low penetration depth in saturated, or near-saturated soils (Li, Crow, & Kustas, 2010;Njoku & Entekhabi, 1996). The relationship between reflectance in different bands of the electromagnetic radiation spectrum and surface soil moisture has been studied extensively (e.g., Gao et al, 2013;Lobell & Asner, 2002).…”

Section: Study Areamentioning

confidence: 99%

See 2 more Smart Citations

Surface moisture area during rainfall–run‐off events to understand the hydrological dynamics of a basin in a plain region

Ares

Holzman

Entraigas

et al. 2018

Hydrological Processes

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The understanding of the hydrology of plain basins may be improved by the combined analysis of rainfall–run‐off records and remote sensed surface moisture data. Our work evaluates the surface moisture area (SMA) produced during rainfall–run‐off events in a plain watershed of the Argentine Pampas Region, and studies which hydrological variables are related to the generated SMA. The study area is located in the upper and middle basins of the Del Azul stream, characterized by the presence of small gently hilly areas surrounded by flat landscapes. Data from 9 rainfall–run‐off events were analysed. MODIS surface reflectance data were processed to calculate SMA subsequent to the peak discharge (post‐SMA), and previous to the rainfall events (prev‐SMA), to consider the antecedent wetness. Rainfall–run‐off data included total precipitation depth (P), maximum intensity of rainfall over 6 hr (I6max), surface run‐off registered between the beginning of the event and the day previous to the analysed MODIS scene (R), peak flow (Qp), and flood intensity (IF). In contrast with other works, post‐SMA showed a negative relationship with the R. Three groups of cases were identified: (a) Events of low I6max, high prev‐SMA, and low R were associated with slow and weakly channelized flow over plain areas, leading to saturated overland flow (SOF), with large SMA; (b) events of high I6max, low prev‐SMA, and medium to high R were rapidly transported along the gentle slopes of the basin, related to Hortonian overland flow (HOF) and low post‐SMA; and (c) events of medium to high I6max and prev‐SMA with medium R were related to heterogeneous input‐antecedent‐run‐off conditions combined: Local spatial conditions may have produced HOF or SOF, leading to an averaged response with medium SMA. The interactions between the geomorphology of the basin, the characteristics of the events, and the antecedent conditions may explain the obtained results. This analysis is relevant for the general knowledge of the hydrology of large plains, whose functioning studies are still in their early stages.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

See 1 more Smart Citation

Surface moisture area during rainfall–run‐off events to understand the hydrological dynamics of a basin in a plain region

Ares

Holzman

Entraigas

et al. 2018

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…The surface reflectance observed by optical sensors can be used to explore the state of soil moisture indirectly through empirical spectral vegetation index (Gao et al, 2013;Lobell and Asner, 2002). The common method used by thermal infrared remote sensing to estimate soil moisture is to calculate thermal inertia (Qin et al, 2013;Verstraeten et al, 2006).…”

Section: J Peng Et Al: Evaluation Of Soil Moisture Downscaling Usinmentioning

confidence: 99%

Evaluation of soil moisture downscaling using a simple thermal-based proxy – the REMEDHUS network (Spain) example

Peng

Niesel

Loew

2015

Hydrol. Earth Syst. Sci.

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Abstract. Soil moisture retrieved from satellite microwave remote sensing normally has spatial resolution on the order of tens of kilometers, which are too coarse for many regional hydrological applications such as agriculture monitoring and drought prediction. Therefore, various downscaling methods have been proposed to enhance the spatial resolution of satellite soil moisture products. The aim of this study is to investigate the validity and robustness of the simple vegetation temperature condition index (VTCI) downscaling scheme over a dense soil moisture observational network (REMEDHUS) in Spain. First, the optimized VTCI was determined through sensitivity analyses of VTCI to surface temperature, vegetation index, cloud, topography, and land cover heterogeneity, using data from Moderate Resolution Imaging Spectroradiometer (MODIS) and MSG SEVIRI (METEOSAT Second Generation -Spinning Enhanced Visible and Infrared Imager). Then the downscaling scheme was applied to improve the spatial resolution of the European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative (ESA CCI) soil moisture, which is a merged product based on both active and passive microwave observations. The results from direct validation against soil moisture observations, spatial pattern comparison, as well as seasonal and land use analyses show that the downscaling method can significantly improve the spatial details of CCI soil moisture while maintaining the accuracy of CCI soil moisture. The accuracy level is comparable to other downscaling methods that were also validated against the REMEDHUS network. Furthermore, slightly better performance of MSG SEVIRI over MODIS was observed, which suggests the high potential of applying a geostationary satellite for downscaling soil moisture in the future. Overall, considering the simplicity, limited data requirements and comparable accuracy level to other complex methods, the VTCI downscaling method can facilitate relevant hydrological applications that require high spatial and temporal resolution soil moisture.

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“…In this sense, because of its fine spatial and temporal resolution, optical/thermal infrared data are also essential in remote sensing of soil moisture, and various theoretical and empirical models have been devised to retrieved SM from these electromagnetic spectra [Minacapilli et al, 2009;Wang et al, 2010;Gao et al, 2013;Olsen et al, 2013;Anne et al, 2014]. Among them, the method known as surface temperature-vegetation index (T s À VI) method is acknowledged as a promising approach to estimate the SM based entirely on remote sensing observations.…”

Section: Zhu Et Almentioning

confidence: 99%

Development and evaluation of the MTVDI for soil moisture monitoring

Zhu

Sun

2017

JGR Atmospheres

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Several parameterization schemes have been developed to retrieve the soil moisture information involved in the remotely sensed surface temperature‐vegetation index (Ts − VI) space. However, most of them are performed with the constraint of the dry edge of the Ts − VI space to define the maximum water stressed conditions. In view of the subjectivity and uncertainty involved in the determination of the dry edge, a new index termed as the Modified Temperature‐Vegetation Dryness Index (MTVDI) was developed in this paper to reduce the reliance of the parameterization scheme on the dry edge. In the parameterization scheme of MTVDI, isopleth lines of soil moisture involved in the feature space were retrieved by the temperature‐vegetation index method, and only the maximum surface temperature of bare soil (Tsmax) was indispensable in the definition of maximum water stressed conditions. For evaluation purpose, the MTVDI was demonstrated in the Southern Great Plains region of the U.S. and was compared with two other traditional soil moisture indexes developed under the constraint of dry edge. The comparison confirmed the effectivity of the MTVDI in monitoring the spatial pattern and seasonal variation of soil moisture. Our analyses also suggest that Tsmax, the only parameter needed in the definition of maximum water stressed conditions, can be retrieved directly from the parameterization scheme itself. Therefore, the retrieval of MTVDI can be performed independent of the dry edge, which is a significant improvement to the traditional parameterization schemes of soil moisture from the Ts − VI feature space.

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A method of estimating soil moisture based on the linear decomposition of mixture pixels

Cited by 51 publications

References 19 publications

Surface moisture area during rainfall–run‐off events to understand the hydrological dynamics of a basin in a plain region

Surface moisture area during rainfall–run‐off events to understand the hydrological dynamics of a basin in a plain region

Evaluation of soil moisture downscaling using a simple thermal-based proxy – the REMEDHUS network (Spain) example

Development and evaluation of the MTVDI for soil moisture monitoring

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