A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan

Bastiaanssen, W.G.M.; Ali, Shahzad

doi:10.1016/s0167-8809(02)00034-8

Cited by 339 publications

(246 citation statements)

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“…where: ε max -maximum efficiency in the use of radiation (Bastiaanssen & Ali, 2003); E f -Evaporative fraction (Teixeira et al, 2015b); and, APAR -absorbed photosynthetically active radiation (W m -2 ).…”

Section: Methodsmentioning

confidence: 99%

Water productivity using SAFER - Simple Algorithm for Evapotranspiration Retrieving in watershed

Nuñez

Hernández

Teixeira

et al. 2017

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe Cabeceira Comprida stream's watershed, located in Santa Fé do Sul, São Paulo state, has great environmental importance. It is essential for supplying water to the population and generating surpluses for sewage dilution. This study aimed to evaluate the annual performance of the components of water productivity from Landsat-8 images of 2015, using the Simple Algorithm for Evapotranspiration Retrieving (SAFER), calculating the actual evapotranspiration (ET a ), biomass (BIO) and water productivity (WP). The annual averages of ETa, BIO and WP were 1.03 mm day -1 , 36.04 kg ha -1 day -1 and 3.19 kg m -3 , respectively. The average annual values of ET a for land use and occupation were 1.40, 1.23, 1.05, 0.97 and 1.08 mm day -1 for the remaining forest (RF), invasive species (IS), pasture (Pa), annual crop (AC) and perennial crop (PC), respectively, with BIO of 57. 64, 46.10, 36.78, 32.69, 40.03 kg ha -1 day -1 for RF, IS, Pa, AC and PC, respectively, resulting in WP of 3.94, 3.59, 3.25, 3.09, 3.35 kg m -3 for RF, IS, Pa, AC and PC, respectively. The ETa, BIO and WP adjust to the seasonality of the region, and RF and IS stood out with the highest values.Produtividade da água estimada pelo SAFER -Simple Algorithm for Evapotranspiration Retrieving em bacia hidrográfica R E S U M OA Bacia Hidrográfica do Córrego Cabeceira Comprida localizada no município de Santa Fé do Sul-SP, tem grande importância ambiental, sendo imprescindível para o abastecimento de água à população e para gerar excedentes para a diluição do esgoto gerado. Assim, este trabalho avaliou o comportamento anual dos componentes da produtividade da água a partir de imagens do Landsat-8 do ano 2015, utilizando-se o 'Simple Algorithm for Evapotranspiration Retrieving' (SAFER), sendo calculadas a evapotranspiração atual (ET a ), a biomassa (BIO) e a produtividade da água (PA). As médias anuais da ETa, BIO e PA foram 1,03 mm dia -1 , 36,04 kg ha -1 dia -1 e 3,19 kg m -3 , respectivamente. As ETa médias anuais por uso e ocupação do solo foram 1,40, 1,23, 1,05, 0,97 e 1,08 mm dia -1 para mata remanescente (MR), espécies invasoras (EI), pastagem (Pa), cultura anual (CA) e cultura perene (CP), respectivamente, enquanto que as BIO apresentaram 57,64, 46,10, 36,78, 32,69, 40,03 kg ha -1 dia -1 para MR, EI, Pa, CA e CP, respectivamente, resultando em uma PA de 3,94, 3,59, 3,25, 3,09, 3, para MR, EI, Pa, CA e CP, respectivamente. As ET a , BIO e PA se ajustam à sazonalidade climática da região destacando-se a MR e as EI com os maiores valores.

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Section: Methodsmentioning

confidence: 99%

Water productivity using SAFER - Simple Algorithm for Evapotranspiration Retrieving in watershed

Nuñez

Hernández

Teixeira

et al. 2017

Rev. bras. eng. agríc. ambient.

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“…Another approach that is widely used to determine f APAR is based on the LAI and the Beer-Lambert law (Ruimy et al 1999). A third approach to estimate the f APAR is using the canopy NDVI (Verhoef 1984;Myneni and Williams 1994;Goetz et al 1999;Bastiaanssen and Ali 2003). In this study, to determine the f APAR accurately, the abovementioned approaches were tested and compared using the field dataset (see below).…”

Section: Calculations Of Ruementioning

confidence: 99%

“…Actually, this was not the case in most previous studies. Some studies treated the RUE as a constant (Moriondo et al 2007) while most calculated it by modifying the optimal RUE value using the corrective factors of soil moisture and air temperature with or without consideration of the crop types being C 3 or C 4 (Potter et al 1993;Prince and Goward 1995;Bastiaanssen and Ali 2003;Duchemin et al 2008). Factors like nitrogen (N), physiological development and other management practices have rarely been involved.…”

Section: Introductionmentioning

confidence: 99%

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Radiation-use efficiency and the harvest index of winter wheat at different nitrogen levels and their relationships to canopy spectral reflectance

Luo

2011

Crop Pasture Sci.

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Abstract. Radiation-use efficiency (RUE, g/MJ) and the harvest index (HI, unitless) are two helpful characteristics in interpreting crop response to environmental and climatic changes. They are also increasingly important for accurate crop yield simulation, but they are affected by various environmental factors. In this study, the RUE and HI of winter wheat and their relationships to canopy spectral reflectance were investigated based on the massive field measurements of five nitrogen (N) treatments. Crop production can be separated into light interception and RUE. The results indicated that during a long period of slow growth from emergence to regreening, the effect of N on crop production mainly showed up in an increased light interception by the canopy. During the period of rapid growth from regreening to maturity, it was present in both light interception and RUE. The temporal variations of RUE APAR (aboveground biomass produced per unit of photosynthetically active radiation absorbed by the canopy) during the period from regreening to maturity had different patterns corresponding to the N deficiency, N adequacy and N-excess conditions. Moreover, significant relationships were found between the RUE APAR and the accumulative normalised difference vegetation index (NDVI) in the integrated season (R 2 = 0.68), between the HI and the accumulative NDVI after anthesis (R 2 = 0.89), and between the RUE grain (ratio of grain yield to the total amount of photosynthetically active radiation absorbed by the canopy) and the accumulative NDVI of the whole season (R 2 = 0.89) and that after anthesis (R 2 = 0.94). It suggested that canopy spectral reflectance has the potential to reveal the spatial information of the RUE APAR , HI and RUE grain . It is hoped that this information will be useful in improving the accuracy of crop yield simulation in large areas.

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“…The model uses remote sensing data and the physics of the energy balance to estimates actual and potential evapotranspiration (ET act ; ET pot ) from net available energy. The model was extended to produce estimates of crop biomass production (Bastiaanssen and Ali 2003), so that crop yield and crop water productivity can be obtained on a pixel by pixel basis. Field measurements of ET act over natural vegetation surfaces and irrigated mango plantations in Brazil showed recently that the annual ET act values of SEBAL deviates respectively 4.4% and 0.5% from the eddy correlation measurements (Teixeira et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing and Economic Indicators for Supporting Water Resources Management Decisions

Hellegers

Soppe

Perry³

et al. 2009

Water Resour Manage

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This paper demonstrates that combining spatial land surface data with socio-economic analysis provides a number of indicators to strengthen decision making in integrated water and environmental management. It provides a basis to: track current water consumption in the Inkomati Basin in South-Africa; adjust irrigation water management; select crop types; facilitate planning; estimate crop yields before harvesting, and consequently to forecast market price development. Remote sensing data and economic analysis can also be used to study the spatial distribution of water consumption as an indicator of equity in access to water resources. It even enables identification of farms that consume more irrigation water than formally allocated. Finally, it provides a basis to assess the cost-effectiveness of various ways to reduce agricultural water consumption. So, this approach is potentially useful for determining water consumption, refining water allocation policies, and determining the potential for water transfers through mechanisms such as water trading.

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A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan

Cited by 339 publications

References 50 publications

Water productivity using SAFER - Simple Algorithm for Evapotranspiration Retrieving in watershed

Water productivity using SAFER - Simple Algorithm for Evapotranspiration Retrieving in watershed

Radiation-use efficiency and the harvest index of winter wheat at different nitrogen levels and their relationships to canopy spectral reflectance

Remote Sensing and Economic Indicators for Supporting Water Resources Management Decisions

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