Evaluation of SEBS and SEBAL algorithms for estimating wheat evapotranspiration (case study: central areas of Khuzestan province)

Zoratipour, Elahe; Mohammadi, Amir Soltani; Zoratipour, Amin

doi:10.1007/s13201-023-01941-2

Cited by 6 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the latest studies compared the SEBS and SEBAL algorithms for estimating daily wheat evapotranspiration in central Khuzestan province. Both algorithms showed high compatibility with lysimeter data, outperforming other methods and suggesting their suitability for accurate evapotranspiration estimation in the region [119]. In another study [120], under the arid and semi-arid environment of the Northern part of Saudi Arabia, the SEBAL and METRIC models were compared for estimating ET.SEBAL was deemed superior in estimating ET compared to METRIC.…”

Section: Intercomparison Of Et Estimation Among the Temperature-based...mentioning

confidence: 97%

Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models

Derardja,

Khadra,

Abdelmoneim

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

Quantifying evapotranspiration (ET) is crucial for a valid understanding of the global water cycle and for the precise management of the resource. However, accurately estimating ET, especially at large scales, has always been a challenge. Over the past five decades, remote sensing has emerged as a cost-effective solution for estimating ET at regional and global scales. Numerous models have been developed, offering valuable insights into ET dynamics, allowing for large-scale, accurate, and continuous monitoring while presenting varying degrees of complexity. They mainly belong to two categories despite the variability of their empirical or physical components: temperature and conductance-based models. This comprehensive review synthesizes the fundamental theories and development history of the most used temperature-based models. It focuses on this specific category to maintain conciseness and prevent extended work. It describes the approaches used and presents the chronology of the modifications made and suggested by researchers. Moreover, it highlights the validation studies and the models’ advantages and drawbacks. The review addresses the long-standing challenge of accurately quantifying evapotranspiration at different scales, offers a retrospective comparative analysis spanning a 15-year period, and supports practitioners in selecting the most appropriate model for a specific set of conditions. Moreover, it discusses advancements in satellite missions, such as the Copernicus Space Component and Landsat Next, and their impact on enhancing ET estimation models.

show abstract

Section: Intercomparison Of Et Estimation Among the Temperature-based...mentioning

confidence: 97%

Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models

Derardja,

Khadra,

Abdelmoneim

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…A study by Sun et al (2019) evaluated four SEB models (SEBAL, SEBS, S-SEBI, and SSEB) in China using Landsat 8 images, concluding that SEBAL performed the best, while SEBS and SEBI underestimated ET. Meanwhile, Zoratipour et al (2023) reported that both SEBAL and SEBS algorithms were highly compatible with lysimeter measurements in central Khuzestan province. Therefore, it is an ongoing research topic to assess the efficiency of RSbased ET monitoring methods.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of satellite remote sensing-based crop evapotranspiration models over a semi-arid irrigated agricultural farm

Ghosh,

Chakraborty,

Das

et al. 2023

Preprint

View full text Add to dashboard Cite

The measurement of evapotranspiration (ET) is essential in maintaining the energy and water balance in agricultural ecosystems, and it plays a vital role in the hydrological cycle. Precision irrigation water management requires accurate spatiotemporal coverage of crop ET across the farm. Fortunately, with the availability of multi-temporal high-resolution satellite datasets and remote sensing-based surface energy balance (SEB) models, near-real-time estimation of ET is now possible. A recent study evaluated and compared the performance of several SEB models, including the Surface Energy Balance Algorithm for Land (SEBAL), Surface Energy Balance Index (SEBI), Surface Energy Balance System (SEBS), Simplified Surface Energy Balance (SSEB), Simplified-Surface Energy Balance Index (SSEBI), and Two Source Energy Balance (TSEB) models over semi-arid irrigated farms in India. The study used 24 Landsat images captured during the post-monsoon seasons of 2021-22 and 2022-23. The statistical evaluation revealed that SEBAL had the best overall performance (r = 0.91, MBE= -0.48 mm d− 1, MAE = 0.42 mm d− 1 and RMSE = 0.51 mm d− 1), followed by SSEB, TSEB, SSEBI, SEBI, and SEBS, respectively. While SEBAL, SSEB, S-SEBI, and TSEB models performed similarly, SEBI and SEBS consistently underestimated ET over the season. The spatiotemporal map was also used to evaluate the model's performance, and it could accurately differentiate between ET over less water-intensive pulses and water-intensive wheat fields on the farm. Despite discrepancies among the SEB models, SEBAL can still be an operational tool for mapping ET with high accuracy and sufficient variation across pixels, making it an ideal option for incorporating into irrigation scheduling over semi-arid farms.

show abstract

“…Over time, several strategies have been proposed for validating actual ET products obtained from satellite data. In general, these validations are carried out using field data from weighing lysimeters [30][31][32][33], as well as flux tower data [34][35][36], which are the main and most widely distributed databases of local measurements. Remote sensing methods represent a valuable tool for ET monitoring as they allow us to map the patterns of this hydrological variable at different spatial scales.…”

Section: Introductionmentioning

confidence: 99%

Superconducting Gravimeters: A Novel Tool for Validating Remote Sensing Evapotranspiration Products

et al. 2023

View full text Add to dashboard Cite

The practical utility of remote sensing techniques depends on their validation with ground-truth data. Validation requires similar spatial-temporal scales for ground measurements and remote sensing resolution. Evapotranspiration (ET) estimates are commonly compared to weighing lysimeter data, which provide accurate but localized measurements. To address this limitation, we propose the use of superconducting gravimeters (SGs) to obtain ground-truth ET data at larger spatial scales. SGs measure gravity acceleration with high resolution (tenths of nm s−2) within a few hundred meters. Similar to lysimeters, gravimeters provide direct estimates of water mass changes to determine ET without disturbing the soil. To demonstrate the practical applicability of SG data, we conducted a case study in Buenos Aires Province, Argentina (Lat: −34.87, Lon: −58.14). We estimated cumulative ET values for 8-day and monthly intervals using gravity and precipitation data from the study site. Comparing these values with Moderate Resolution Imaging Spectroradiometer (MODIS)-based ET products (MOD16A2), we found a very good agreement at the monthly scale, with an RMSE of 32.6 mm month−1 (1.1 mm day−1). This study represents a step forward in the use of SGs for hydrogeological applications. The future development of lighter and smaller gravimeters is expected to further expand their use.

show abstract

Evaluation of SEBS and SEBAL algorithms for estimating wheat evapotranspiration (case study: central areas of Khuzestan province)

Cited by 6 publications

References 31 publications

Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models

Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models

Evaluation of satellite remote sensing-based crop evapotranspiration models over a semi-arid irrigated agricultural farm

Superconducting Gravimeters: A Novel Tool for Validating Remote Sensing Evapotranspiration Products

Contact Info

Product

Resources

About