Modelling actual evapotranspiration using a two source energy balance model with Sentinel imagery in herbaceous-free and herbaceous-cover Mediterranean olive orchards

García, Sergio David Aguirre; Aranda-Barranco, Sergio; Nieto, Héctor; Serrano-Ortiz, Penélope; Sánchez-Cañete, Enrique-P.; Guerrero-Rascado, Juan Luís

doi:10.1016/j.agrformet.2021.108692

Cited by 22 publications

(4 citation statements)

References 59 publications

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“…Therefore, it was important to consider the main direction of wind when selecting the Sentinel-2 pixels that would influence the observed and estimated GPP. In this sense, Aguirre-García et al [80] followed a similar strategy; they also considered the wind direction and the satellite overpassed time to calculate the footprint of the eddy covariance tower for modeling evapotranspiration in a Mediterranean olive orchard.…”

Section: Overall Discussionmentioning

confidence: 99%

Modeling Gross Primary Production (GPP) of a Mediterranean Grassland in Central Spain Using Sentinel-2 NDVI and Meteorological Field Information

Cicuéndez,

Inclán,

Sánchez-Cañete

et al. 2024

Agronomy

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Mediterranean grasslands provide different ecosystems and social and economic services to the Mediterranean basin. Specifically, in Spain, pastures occupy more than 55% of the Spanish surface. Farmers and policymakers need to estimate the Gross Primary Production (GPP) to make sustainable management of these ecosystems and to study the role of grasslands acting as sinks or sources of Carbon in the context of climate change. High-frequency satellites, such as Sentinel-2, have opened the door to study GPP with a higher spatial and lower revisit time (10 m and 5 days). Therefore, the overall objective of this research is to estimate an ecosystem light use efficiency (eLUE) GPP model for a Mediterranean grassland in central Spain using Sentinel-2 NDVI Normalized Difference Vegetation Index (NDVI), complemented with meteorological information at the field scale for a relatively long period (from January 2018 to July 2020). The GPP models studied in this research were the MODIS GPP product, as well as the four eLUE models built with MODIS or Sentinel-2 NDVI and complemented by the inclusion of minimum temperature (Tmin) and soil water content (SWC). The models were validated through the GPP obtained from an eddy-covariance flux tower located in the study site (GPP_T). Results showed that the MODIS GPP product underestimated the GPP_T of the grassland ecosystem. Besides this, the approach of the eLUE concept was valid for estimating GPP in this Mediterranean grassland ecosystem. In addition, the models showed an improvement using Sentinel-2 NDVI compared to MODIS GPP product and compared to the models that used MODIS NDVI due to its higher spatial and temporal resolution. The inclusion of Tmin and SWC was also a determinant in improving GPP models during winter and summer periods. This work also illustrates how the main wind directions of the study area must be considered to appropriately estimate the footprint of the eddy covariance flux tower. In conclusion, this study is the first step to efficiently estimating the GPP of Mediterranean grasslands using the Sentinel-2 NDVI with complementary meteorological field information to make the management of these ecosystems sustainable.

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Section: Overall Discussionmentioning

confidence: 99%

Modeling Gross Primary Production (GPP) of a Mediterranean Grassland in Central Spain Using Sentinel-2 NDVI and Meteorological Field Information

Cicuéndez,

Inclán,

Sánchez-Cañete

et al. 2024

Agronomy

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“…The data were compared with the thermal infrared band of Landsat, which has a 100 m scale, to achieve a more pronounced downscaling effect [31]. However, downsizing the thermal infrared data from kilometer-scale to 100 m made it difficult to ensure the accuracy and completeness of the results [32], and there was a high likelihood that data were lost during the temperature reconstruction process [33]. In this study, Landsat thermal infrared data with a resolution of 100 m were sharpened to 30 m, which is consistent with Gao's original idea.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Evapotranspiration from the People’s Victory Irrigation District Based on the Data Mining Sharpener Model

Zhang,

Li,

Wang

et al. 2023

Agronomy

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Reasonable evaluation of evapotranspiration (ET) is crucial for optimizing agricultural water resource management. In the study, we utilized the Data Mining Sharpener (DMS) model; the Landsat thermal infrared images were sharpened from a spatial resolution of 100 m to 30 m. We then used the Surface Energy Balance System (SEBS) to estimate daily ET during the winter wheat growing season in the People’s Victory Irrigation District in Henan, China. It was concluded that the spatiotemporal patterns of land surface temperature and daily evapotranspiration remained consistent before and after sharpening. Results showed that the R2 value between the ET of 30 m spatial resolution and the value by eddy covariance method reached 0.814, with an RMSE of 0.516 mm and an MAE of 0.245 mm. All of these were higher than those of 100 m spatial resolution (R2 was 0.802, the RMSE was 0.534 mm, and the MAE was 0.253 mm). Furthermore, the daily ET image with a 30 m spatial resolution exhibited clear texture and distinct boundaries, without any noticeable mosaic effects. The changes in surface temperature and ET were more consistent in complex subsurface environments. The daily evapotranspiration of winter wheat was significantly higher in areas with intricate drainage systems compared to other regions. During the early growth stage, daily evapotranspiration decreased steadily until the overwintering stage. After the greening and jointing stages, it began to increase and peaked during the sizing period. The correlation between net solar radiation and temperature with ET was significant, while relative humidity and soil moisture were negatively correlated with ET. Throughout the growth period, net solar radiation had the greatest effect on ET.

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“…While a number of adaptation and mitigation strategies to cope with the effects of climate change on agriculture are being explored by scientists in warm temperate regions, many of these strategies may take as long as 10 to 20 years to be implemented ( Bruinsma, 2003 ). Promising strategies may include shifts to more suitable cultivation areas ( Drogoudi et al., 2020 ; Fernandez et al., 2020a ; del Barrio et al., 2021 ; Rojas et al., 2021 ; Noorazar et al., 2022 ; Meza et al., 2023 ), crop replacement and diversification ( Valverde et al., 2015 ; Almagro et al., 2023 ; Rezgui et al., 2024 ), the introduction of new cultivars ( Funes et al., 2016 ; Ruiz et al., 2019 ; Arenas-Castro et al., 2020 ; Cantin et al., 2020 ; Drogoudi et al., 2020 ), water management strategies ( Fraga et al., 2020 ; Aguirre-Garcia et al., 2021 ; Gutierrez-Gamboa et al., 2022 ; Lulane et al., 2022 ; Espinoza-Meza et al., 2023 ; Rojano-Cruz et al., 2023 ), and technological adaptation ( Luzio et al., 2021 ; Mazis et al., 2021 ; Rojas et al., 2021 ; Teker, 2023 ). However, as the impacts of climate change become increasingly severe, the adaptation and adoption of such strategies will require local and regional research, as well as effective governmental policies focused on the implementation of sustainable management practices and the adoption of new technologies.…”

Section: Introductionmentioning

confidence: 99%

Climate change impacts on temperate fruit and nut production: a systematic review

Osorio-Marín,

Fernandez,

Vieli

et al. 2024

Front. Plant Sci.

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Temperate fruit and nut crops require distinctive cold and warm seasons to meet their physiological requirements and progress through their phenological stages. Consequently, they have been traditionally cultivated in warm temperate climate regions characterized by dry-summer and wet-winter seasons. However, fruit and nut production in these areas faces new challenging conditions due to increasingly severe and erratic weather patterns caused by climate change. This review represents an effort towards identifying the current state of knowledge, key challenges, and gaps that emerge from studies of climate change effects on fruit and nut crops produced in warm temperate climates. Following the PRISMA methodology for systematic reviews, we analyzed 403 articles published between 2000 and 2023 that met the defined eligibility criteria. A 44-fold increase in the number of publications during the last two decades reflects a growing interest in research related to both a better understanding of the effects of climate anomalies on temperate fruit and nut production and the need to find strategies that allow this industry to adapt to current and future weather conditions while reducing its environmental impacts. In an extended analysis beyond the scope of the systematic review methodology, we classified the literature into six main areas of research, including responses to environmental conditions, water management, sustainable agriculture, breeding and genetics, prediction models, and production systems. Given the rapid expansion of climate change-related literature, our analysis provides valuable information for researchers, as it can help them identify aspects that are well understood, topics that remain unexplored, and urgent questions that need to be addressed in the future.

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Modelling actual evapotranspiration using a two source energy balance model with Sentinel imagery in herbaceous-free and herbaceous-cover Mediterranean olive orchards

Cited by 22 publications

References 59 publications

Modeling Gross Primary Production (GPP) of a Mediterranean Grassland in Central Spain Using Sentinel-2 NDVI and Meteorological Field Information

Modeling Gross Primary Production (GPP) of a Mediterranean Grassland in Central Spain Using Sentinel-2 NDVI and Meteorological Field Information

Estimation of Evapotranspiration from the People’s Victory Irrigation District Based on the Data Mining Sharpener Model

Climate change impacts on temperate fruit and nut production: a systematic review

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