Energy balance and irrigation performance assessments in lemon orchards by applying the SAFER algorithm to Landsat 8 images

Teixeira, A. H. de C.; Leivas, J. F.; Struiving, Tiago; Reis, João Batista Ribeiro da Silva; Simão, Fúlvio Rodriguez

doi:10.1016/j.agwat.2020.106725

Cited by 10 publications

(11 citation statements)

References 82 publications

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“…The innovative approaches of drip and sprinkler irrigations greatly improved oil yields in the palm to the tune of 26 to 35 percent under drought situations (Brum et al, 2021). Wagner et al (2021) concluded that summer water use (17 and 10 L day -1 tree -1 during summer and late autumn) in lemon trees improved yield and ratio of water use to irrigation Teixeira et al (2021) observed 1.6 to 3.6 kg m -3 water productivity across six locations of the semi-arid region. Cotrim et al (2011) reported higher yields (34.84 to 44.29 t ha -1 ) and WUE (7.93 to 10.61 kg m -3 ) in deficit irrigation in mango (60% at three stages) than in full irrigation at 100% ET c .…”

Section: Resultsmentioning

confidence: 99%

Optimizing the Determinants of Water Use Efficiency in Mango

Adak¹,

Singh²,

Babu³

2022

JNRCM

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Water use efficiency (WUE) is a dependent factor in orchard ecosystems. Enhancing WUE in any agroecosystem is the national priority for achieving the goal of more fruit per drop of applied water. Farmers' practice of full irrigation in the basin by flooding reduces the scope of better WUE. Innovative approaches like deficit irrigation certainly improve WUE in mango, across climates. Statistical analysis and histographic diagrams showed maximum frequency distribution of pan evaporation of 103% in class intervals of 3.14 to 5.97 mm day -1 followed by 0.3 to 3.13 mm day -1 (99%) under subtropical conditions. The histographic distribution of reference evapotranspiration (ET0) indicated the highest frequency distribution of 96% in 4.98 to 6.32 mm day-1 and 83% in 0.93 to 2.27 mm day-1. Statistical histographic distribution of mango (cv. Dashehari) yield under subtropical climatic conditions indicated 85.4 to 108.04 kg fruits tree -1 at a 9% frequency level. The highest WUE of 20.43 to 23.96 kg fruits m -3 of water applied was obtained under a 6% frequency distribution. The deficit irrigation strategy was found to be the most appropriate for optimum yields of mango under subtropical conditions.

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Section: Resultsmentioning

confidence: 99%

Optimizing the Determinants of Water Use Efficiency in Mango

Adak¹,

Singh²,

Babu³

2022

JNRCM

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“…The input weather data for the large-scale energy balance modelling were incident global solar radiation (RG); air temperature (Ta), air relative humidity (RH), and wind speed (u); for the calculation of reference evapotranspiration (ET0) (Allen et al, 1998) and the latent heat fluxes -λE, applying the SAFER algorithm (Teixeira et al 2017(Teixeira et al , 2021a. Through a geographic information system (GIS), these data were interpolated using the geostatistical "moving average" method and layered with the remote sensing parameters, contributing to a better spatial characterization of the energy balance components at the spatial resolution of the MOIS images.…”

Section: Biomes and Data Setmentioning

confidence: 99%

“…Standardized indices, to detect environmental anomalies, have been generally based on large-scale NDVI, precipitation (P), actual evapotranspiration (ET), and soil moisture, such as Standardized Soil Moisture Index (SSI) (Hao and AghaKouchak, 2013); the Standardized Precipitation Evapotranspiration Index (SPEI) (Vicente-Serrano et al, 2018;and the Standardized Moisture Anomaly Index (SZI) (Zhang et al, 2021). However, besides anomalies on NDVI, P, ET, and soil moisture, those on other energy balance components are important for environmental monitoring (Teixeira et al 2017;2021a;Zhang et al, 2021), especially under water scarcity conditions, as some areas of Northeast Brazil.…”

Section: Introductionmentioning

confidence: 99%

“…On one hand, although evapotranspiration is related to agricultural production, increases of its rates means less water availability for other water sectors. On the other hand, the magnitude of H may indicate warming or cooling conditions, important issue under the scenarios of land-use changes (Bhattarai et al, 2017;Teixeira et al, 2017;2021a).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring anomalies on the large-scale energy and water balance components by coupling remote sensing parameters and gridded weather data

Teixeira,

Leivas,

Takemura

et al. 2024

Preprint

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MODIS images and weather data from 2007 to 2021, were used to monitor the energy balance components and their anomalies, in the Atlantic Forest (AF) and Caatinga (CT) biomes, within a coastal agricultural growing zone, Northeast Brazil. Significant differences on net radiation (Rn) partitions into latent (λE), sensible (H), and ground (G) heat fluxes, promoted distinct vegetation root-zone moisture conditions. The Rn values between the biomes are not significantly different, with annual averages of 9.40 and 9.50 MJ m-2 d-1, for AF and CT, respectively. However, for respectively AF and CT, the annual average values for λE were 5.10 MJ m-2 d-1 and 4.00 MJ m-2 d-1; for H they were 3.80 MJ m-2 d-1 and 5.00 MJ m-2 d-1; and for G they were 0.50 MJ m-2 d-1 and 0.40 MJ m-2 d-1, yielding respective mean evaporative fraction (Ef = λE/(Rn – G) values of 0.60 and 0.50. Anomalies on λE, H, and Ef were detected by comparing the results for the years 2018 to 2021 with the long-term values from 2007 to each of these years, showing that the energy fluxes between surfaces and the lower atmosphere, and then the root-zone moisture conditions for both biomes, may strongly vary along seasons and years. These assessments are important for water policies as they can picture suitable periods and places for rainfed agriculture as well as the irrigation needs in irrigated agriculture under climate and land-use changes conditions.

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“…On the one hand, although ET being related to BIO, increasing its rates means less water availability for ecological and human uses. On the other hand, the magnitude of H can indicate surface warming or cooling effects (Bhattarai et al 2017;Teixeira et al 2020aTeixeira et al , 2021a. Regarding the carbon balance, replacing natural vegetation by agricultural crops may produce carbon sinks, affecting BIO (Ceschia et al 2010); while water scarcity increases vegetation mortality rates and changes in the ecosystem's specie compositions (Zhao and Running 2010).…”

Section: Introductionmentioning

confidence: 99%

Remote sensing environmental indicators for monitoring spatial and temporal dynamics of water and vegetation conditions: applications to the Brazilian biomes

Teixeira

Leivas

Takemura

et al. 2023

Preprint

Self Cite

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The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm and the radiation use efficiency (RUE) model were coupled to test large-scale remote sensing environmental indicators in the Brazilian biomes. The MODIS MOD13Q1 reflectance product and gridded weather data were used for the year 2016. The analyzed biomes were Amazon, Caatinga, Cerrado, Pantanal, Atlantic Forest, and Pampa. Significant differences on precipitation (P), actual evapotranspiration (ET), and biomass production (BIO) yielded differences on water balance (WB = P - ET) and water productivity (WP = ET/BIO). The highest WB and WP differences along the year were for the wettest Amazon, Atlantic Forest, and Pampa biomes, when compared with the driest Caatinga biome. Rainfall distribution along the year affected the magnitude of the evaporative fraction (ETf), i.e, the ratio of ET to reference evapotranspiration (ET0), however there was a gap between ETf and WB, what can be related to the time needed for recovering the good soil moisture conditions after the rainy seasons. For some biomes, BIO was more related to the levels of absorbed photosynthetically active radiation (Amazon, Atlantic Forest, and Pampa), while for others BIO followed more the soil moisture levels, represented by ETf (Caatinga, Cerrado, and Pantanal). The large-scale modelling presented suitability for monitoring environmental indicators, opening the room to detect anomalies for specific periods along the year by using historical images and weather data, with great potential to subsidize public policies regarding the management and conservation of the natural resources and possibility for replication of the methods in other countries.

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Energy balance and irrigation performance assessments in lemon orchards by applying the SAFER algorithm to Landsat 8 images

Cited by 10 publications

References 82 publications

Optimizing the Determinants of Water Use Efficiency in Mango

Optimizing the Determinants of Water Use Efficiency in Mango

Monitoring anomalies on the large-scale energy and water balance components by coupling remote sensing parameters and gridded weather data

Remote sensing environmental indicators for monitoring spatial and temporal dynamics of water and vegetation conditions: applications to the Brazilian biomes

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