Integration of soil moisture as an auxiliary parameter for the anchor pixel selection process in SEBAL using Landsat 8 and Sentinel - 1A images

Mohan, Mahendra; Rajitha, K.; Varma, Murari R. R.

doi:10.1080/01431161.2019.1658239

Cited by 10 publications

(9 citation statements)

References 35 publications

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“…Unlike the SEBAL algorithm, which has an assumption of zero evapotranspiration at the hot pixel, METRIC uses a daily soil water balance model to verify whether ET of the hot pixel is equal to zero. This modified assumption of non-zero evapotranspiration makes the estimates of H more reliable [173], and the selection process of candidate pixels is employed more accurately [174]. At the cold pixel, ET is equated to 1.05 times the reference evapotranspiration, which is not applicable during non-growing seasons as well as early growing seasons [175].…”

Section: One-source (Or One-layer) Modelsmentioning

confidence: 99%

“…The SEBAL and METRIC models underestimate ET in nonagricultural and arid areas with extreme weather conditions [4]. In such situations, SEBS can be a suitable alternative because of its non-subjective approach in selecting the limiting cases [174].…”

Section: One-source (Or One-layer) Modelsmentioning

confidence: 99%

“…The TSEB scheme can be employed to generate maps of daily energy fluxes at a continental scale using brightness temperature variations derived by the Meteosat Second Generation (MSG) and Geostationary Operational Environmental Satellites (GOES), the land cover map derived by AVHRR, and weather data within a time-integrated framework called the Atmosphere-Land Exchange Inverse Model (ALEXI) [41]. The real-time daily energy fluxes of LE, H, G, R n , and soil moisture are obtained from this model with a spatial resolution of 5 to 10 km [174]. In order to improve the spatial resolution of the resulting fluxes, DisALEXI [185], which follows a spatially disaggregated technique, was developed using LST retrieved from polar orbiting satellites.…”

Section: Simplified Surface Energy Balance (Sseb)mentioning

confidence: 99%

“…In other words, TIR radiation is sensitive to atmospheric effects such as water vapor, surface emissivity, and cloud cover, and this leads to discontinuous information for ET estimation [97,183,200]. In this regard, LST observations with high temporal and spatial resolutions are useful to provide cloud-free surface temperature information [174]. In addition, microwave remote sensing can be a suitable surrogate for providing LST in all-sky conditions because it is not limited by cloud cover; however, its coarse spatial resolution causes ET estimation to only be possible for large scales [201].…”

Section: Land Surface Temperaturementioning

confidence: 99%

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Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges

et al. 2022

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The surface energy balance (SEB) model is a physically based approach in which aerodynamic principles and bulk transfer theory are used to estimate actual evapotranspiration. A wide range of different methods have been developed to parameterize the SEB equation; however, few studies addressed solutions to the SEB considering the land surface temperature (LST). Therefore, in the current review, a clear and comprehensive classification is provided for energy-based approaches considering the key role of LST in solving the energy budget. In this regard, three general approaches are presented using LSTs derived by climate and land surface models (LSMs), satellite-based data, and energy balance closure. In addition, this review surveys the concepts, required inputs, and assumptions of energy-based LSMs and SEB algorithms in detail. The limitations and challenges of aforementioned approaches including land surface temperature, surface energy imbalance, and calculation of surface and aerodynamic resistance network are also assessed. According to the results, since the accuracy of resulting LSTs are affected by weather conditions, surface energy closure, and use of vegetation/meteorological information, all approaches are faced with uncertainties in determining ET. In addition, for further study, an interactive evaluation of water and energy conservation laws is recommended to improve the ET estimation accuracy.

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Section: One-source (Or One-layer) Modelsmentioning

confidence: 99%

Section: One-source (Or One-layer) Modelsmentioning

confidence: 99%

Section: Simplified Surface Energy Balance (Sseb)mentioning

confidence: 99%

Section: Land Surface Temperaturementioning

confidence: 99%

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Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges

et al. 2022

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“…37 The utilization of available energy (R n − G) as an additional input along with NDVI and T s were useful in retrieving the candidate pixels with distinct variation. 38 By considering the soil moisture and available energy as influencing auxiliary parameters for the endmember selection process, Mohan et al 39 proposed the integration of synthetic aperture radar (SAR) derived soil moisture into SEBAL for anchor pixel selection process. The semiautomatic statistical approach by Allen et al, a fully automatic procedure based on exhaustive search algorithm by Bhattarai et al and the modified version ASEBAL with an automated endmember selection process are the recent related developments in the domain of anchor pixel selection process.…”

Section: Sensible Heat Flux Estimation Approaches In Iterative Singlementioning

confidence: 99%

Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models

Mohan

Kanchirapuzha

Varma

2020

J. Appl. Rem. Sens.

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We recapitulate the approaches of sensible heat flux (H) estimation, which is a critical parameter in the remote sensing (RS)-based evapotranspiration (ET) models. We propose a classification scheme for the ET models considering their distinctions in approaches for the estimation of H. Adhering to the proposed classification scheme, the theoretical backgrounds of H estimation in the single-source and two-source RS-based ET models are discussed in brief, along with their unique characteristics. We addressed the role of critical parameters that influenced the H computation under each model and presented the related progress in the research. The importance of data assimilation techniques, as well as the application of unmanned aerial vehicles for the uninterrupted estimation of turbulent heat flux, are discussed in the context of single-source and two-source models. The influence of scale on the validation of the models and the impact of the aggregation methods are discussed. We compared the performance of the popular ET models for the estimation of H, utilizing the information obtained from peer-reviewed articles. The limitations related to the RS datasets in terms of spatial and temporal resolution and the scope of alleviating the shortcomings using the future satellite missions are discussed. We conclude by pointing toward the current challenges and the prospective domain of research, which needs to be addressed critically in the future.

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STEEP: A remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests

Bezerra

Cunha

Valente

et al. 2023

Agricultural and Forest Meteorology

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Integration of soil moisture as an auxiliary parameter for the anchor pixel selection process in SEBAL using Landsat 8 and Sentinel - 1A images

Cited by 10 publications

References 35 publications

Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges

Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges

Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models

STEEP: A remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests

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