Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment

Rawat, Kishan Singh; Singh, Sudhir Kumar; Bala, Anju; Szabó, Szilárd

doi:10.1016/j.agwat.2018.12.002

Cited by 40 publications

(8 citation statements)

References 59 publications

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“…Increased water loss through evapotranspiration of water hyacinth is considered one of the most crucial weed problems in water bodies. Estimating reference evapotranspiration (ETo) has an important role in various aspects of research, such as the hydrological cycle, irrigation system, water resource management (Hou et al, 2013;Berti et al, 2014;Valipour, 2015;Zhao et al, 2015;Abdullahi and Elkiran, 2017;Zhang et al, 2018;Zhang et al, 2019), forest meteorology (Khoshravesh et al, 2015), flood risk assessment, drought analysis, environmental studies (Pandey et al, 2016;Čadro et al, 2018), as a model of assessment and climate change scenarios (Güler, 2014), economical allocation of water resources, increase of water use efficiency (Singh Rawat et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Water Losses Through Evapotranspiration of Water Hyacinth (Eichhornia crassipes)

Sasaqi

Pranoto

Setyono

2019

Caraka Tani J. Sustain. Agric.

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Batujai Reservoir locates in Batujai Village, Praya Barat, Central Lombok, West Nusa Tenggara. It is the primary source of irrigation water supply for agriculture in Central Lombok District with an area of around 3,235 ha. The problem is the bloom of water hyacinth weed (Eichhornia crassipes), which can cause reservoir water loss through evapotranspiration, affecting the amount of water reservoir available for the dry season. The objective was to identify the area of cover and estimate water loss through water hyacinth evapotranspiration for the period 2013 – 2017. This study used a descriptive method by analysis of secondary data which were meteorological data and landsat-8 satellite imagery. Evapotranspiration analyzes use CROPWAT 8.0, monitoring water hyacinth cover using landsat–8 satellite imagery processed using ENVI 5.3 and ArcGIS 10.4 software. The results show that the spatial distribution of water hyacinth can be detected and mapped accurately with an overall classification accuracy of 84.11% – 97.04% using Landsat 8 data, with a kappa coefficient of 0.80 – 0.96. The area of water hyacinth cover ranges from 38,400 m2 – 2,158,500 m2, with a cover area of more than 20%, causing water loss above 8,000 m3 day-1, which occurred in April 2013, April 2015, April 2016, February 2015, May 2014, May 2016 and July 2016, in those months it was seen that the amount of water loss was greater. Therefore, it is needed to suppress the growth of water hyacinth, in maintaining reservoir water storage capacity to support a systems of sustainable agriculture.

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Section: Introductionmentioning

confidence: 99%

Estimation of Water Losses Through Evapotranspiration of Water Hyacinth (Eichhornia crassipes)

Sasaqi

Pranoto

Setyono

2019

Caraka Tani J. Sustain. Agric.

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“…Konsep umum ET dapat dibagi menjadi ET potensial (ETp), ET aktual (ETa), ET acuan (ETo), dan ET tanaman (ETc) (Singh Rawat et al, 2019 (Marando et al, 2019).…”

Section: Model Evapotranspirasiunclassified

Estimasi Dampak Urban Heat Island terhadap Laju Evapotranspirasi: Studi Kasus di Kota Palembang

Sugiarto¹,

Setiawan²,

Arif³

et al. 2021

JSIL

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A review of air temperature in the Palembang city by reviewing data from the National Agency for Meteorology, Climatology, and Geophysics/BMKG (Kenten Climatology Station and the SMB II Meteorological Station) shows a difference in air temperature can indicate the occurrence of Urban Heat Island (UHI). The difference in air temperature affects the evapotranspiration rate (ET) because air temperature very influencing water evaporation. ET rate estimation with air temperature data is the first step to prove this hypothesis. Hargreaves and Samani, Blaney and Criddle, Linacre, and Kharuffa models is the ET model that using air temperature as the variable was used to estimate the ET rate. Air temperature data used in the period 2011-2020 by reviewing data from the Kenten Climatology Station and the SMB II Meteorological Station. The results of this study of air temperature data from the Kenten Climatology Station and the SMB II Meteorology Station showed a difference in air temperature with the minimum ∆T of 0.42 oC, the maximum of 0.43 oC, and the daily average of 0.41 oC. This difference in air temperature has an impact on the difference in the ET rate with the average ∆ET of the Hargreaves and Samani model of 0.05 mm/day, the Blaney and Criddle model of 0.05 mm/day, the Linacre model of 0.06 mm/day, and the Kharuffa model of 0.14 mm/day. The results of this study predicted that an increase in air temperature causes an increase in the ET rate of ± 10-30%.

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“…where K c is the crop coefficient, and ET 0 is the reference evapotranspiration (mm•day −1 ). The ET c obtained by the PM model has generally been used to verify the accuracy of ET d estimated by other models [3,70], which is why the PM model was selected to validate the results of this study.…”

Section: Validation Of the Sebal Algorithm Performancementioning

confidence: 99%

“…One vital component to describe the hydrological cycle in ecological systems and to estimate water balance is evapotranspiration (ET). ET is the process by which water is transported from the earth's surface to the atmosphere by the evaporation from surfaces (soils and wet vegetation) and by the transpiration from plants through the stomata present in the plant leaves [3,4]. Crop evapotranspiration is a fundamental variable in the hydrological cycle and is thus significant for the management of irrigation and water resources [5].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images

Cha

Wang

2020

Remote Sensing

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An accurate estimation of evapotranspiration (ET) from crops is crucial in irrigation management, crop yield assessment, and optimal allocation of water resources, particularly in arid regions. This study explores the estimation of seasonal evapotranspiration for crops using multisource remote sensing images. The proposed estimation framework starts with estimating daily evapotranspiration (ETd) values, which are then used to calculate ET estimates during the crop growing season (ETs). We incorporated Landsat images into the surface energy balance algorithm over land (SEBAL) model, and we used the trapezoidal and sinusoidal methods to estimate the seasonal ET. The trapezoidal method used multitemporal ETd images, while the sinusoidal method employs time-series Moderate Resolution Imaging Spectroradiometer (MODIS) images and multitemporal ETd images. Experiments were implemented in the agricultural lands of the Kai-Kong River Basin, Xinjiang, China. The experimental results show that the obtained ETd estimates using the SEBAL model are comparable with those from the Penman–Monteith method. The ETs obtained using the trapezoidal and sinusoidal methods both have a relatively high spatial resolution of 30 m. The sinusoidal method performs better than the trapezoidal method when using low temporal resolution Landsat images. We observed that the omission of Landsat images during the middle stage of crop growth has the greatest impact on the estimation results of ETs using the sinusoidal method. Based on the results of the study, we conclude that the proposed sinusoidal method, with integrated multisource remote sensing images, offers a useful tool in estimating seasonal evapotranspiration for crops in arid regions.

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Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment

Cited by 40 publications

References 59 publications

Estimation of Water Losses Through Evapotranspiration of Water Hyacinth (Eichhornia crassipes)

Estimation of Water Losses Through Evapotranspiration of Water Hyacinth (Eichhornia crassipes)

Estimasi Dampak Urban Heat Island terhadap Laju Evapotranspirasi: Studi Kasus di Kota Palembang

Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images

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