Spectral response of rice crop and its relation to yield and yield attributes

Patel, N. K.; Singh, Tejvir; Sahai, Baldev; Patel, M. S.

doi:10.1080/01431168508948488

Cited by 47 publications

(16 citation statements)

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“…The reflectance values in the NIR band in the middle and latter growth period seemed to be higher than the corresponding data that has appeared in previous works (Patel et al, 1985;Martin and Heilman, 1986). On the other hand, the reflectance values in the RED band seemed to be lower than the previous results.…”

Section: Reflectance Estimations Using the Observed Imagescontrasting

confidence: 69%

“…Generally, ground reflectance observations have been performed at the nadir or near-nadir viewing directions (Richardson et al, 1982;Asrar et al, 1985;Patel et al, 1985). However, nadir observations using a camera tend to limit the viewing area when the camera elevation is finite due to the constraint of installing a tall pole 10 m or higher in a paddy field.…”

Section: Reflectance Estimations Using the Observed Imagesmentioning

confidence: 99%

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Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Shibayama

Sakamoto

Takada

et al. 2009

Plant Production Science

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Section: Reflectance Estimations Using the Observed Imagescontrasting

confidence: 69%

Section: Reflectance Estimations Using the Observed Imagesmentioning

confidence: 99%

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Shibayama

Sakamoto

Takada

et al. 2009

Plant Production Science

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“…), milho (Zea mays L.) e amendoim (Arachis hypogaea L.) (Curran & Milton,1983;Patel et al, 1985;Jensen et al, 1990;Walter-Shea et al, 1991;Peñuelas et al, 1997;Fideles Filho et al, 1999).…”

Section: Resultsunclassified

“…A produção de biomassa foi semelhante tanto para o tratamento que proporcionou as menores reflectâncias (400 kg ha -1 de N) como para aquele que apresentou valores intermediários de reflectância (200 kg ha -1 de N). Estes resultados assemelham-se aos encontrados em experimentos com arroz (Orysa sativa), trigo (Triticum aestivum) e milho (Zea mays), em que, à medida que aumentam os níveis de N aplicados, ocorre uma diminuição da reflectância em todos os comprimentos de onda, na porção visível do espectro (Patel et al,1985;Fernández et al, 1994;Blackmer et al, 1996;Ma et al, 1996).…”

Section: Resultsunclassified

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Caracterização espectral de Paspalum notatum em diferentes níveis de adubação nitrogenada

Fonseca

Rosa

Fontana

2002

Pesq. agropec. bras.

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Resumo As propriedades espectrais da vegetação podem ser utilizadas para o monitoramento das condições de crescimento da vegetação ao longo do ano, assim como a estimativa da produtividade das espécies, por meio de técnicas de sensoriamento remoto. Para tanto, é necessário, primeiramente, caracterizar espectralmente as espécies que compõem a vegetação de um ecossistema. O objetivo deste trabalho foi caracterizar a reflectância do Paspalum notatum Flügge var. notatum crescendo em diferentes níveis de adubação nitrogenada. Foi realizado um experimento de campo na Estação Experimental Agronômica da Universidade Federal do Rio Grande do Sul (30 o 5'22'' S e 51 o 39'8'' W), utilizando-se um espectrorradiômetro portátil, em parcelas de P. notatum adubadas com 0, 200 e 400 kg ha -1 de N. A resposta espectral do P. notatum foi alterada pelas variações na quantidade de biomassa do dossel, provocadas por diferenças nos níveis de adubação nitrogenada. Os aumentos na quantidade de biomassa provocaram diminuição da reflectância na porção visível do espectro e aumento na porção infravermelho, o que mostra que a análise da reflectância é um bom indicador das mudanças que ocorrem em um dossel.Termos para indexação: biomassa, cobertura vegetal, reflectância, espectrometria. Spectral characterization of Paspalum notatum under different nitrogen fertilizationAbstract Remote sensing techniques using spectral properties of canopies may be used to monitor vegetation growth conditions throughout the year, as well as to estimate the yield of different species. However, before these techniques can be used, it is necessary to establish the spectral properties of each of the different species which make up the landscape. The objective of this study was to characterize the spectral reflectance of Paspalum notatum Flügge var. notatum, growing on different levels of nitrogen fertilization. A field experiment was carried out at the Agronomic Experimental Station of Universidade Federal do Rio Grande do Sul, Brazil (30º5'22'' S, 51º39''8'' W), using a portable spectroradiometer, on plots with P. notatum fertilized with 0, 200 and 400 kg ha -1 of nitrogen. The spectral response of P. notatum changed in response to increases in biomass caused by the different levels of nitrogen fertilization used. Increases in biomass resulted in a reduction in reflectance on the visible portion of the spectrum and an increase on the infrared portion, indicating, therefore, that the reflectance analysis is a good indicator of plant canopy status.Index terms: biomass, canopy, reflectance, spectrometry.(1) Aceito para publicação em 5 de setembro de 2001. IntroduçãoA caracterização espectral de um alvo, também conhecida como assinatura espectral, é a representação gráfica da reflectância em faixas de comprimento de onda bem estreitas e adjacentes. Ela representa de forma detalhada o resultado da interação da energia radiante com o objeto em estudo. As variações de amplitude na caracterização espectral são indicadoras das propriedades espectrais dos objetos (Steffe...

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Narrow Band Ratio Vegetation Indices and Itsrelationships With Rice Agronomic Variables

Wang

Huang

2009

Computer and Computing Technologies in Agriculture II, Volume 3

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The present study aims to determine spectral bands that are best suited for characterizing rice agronomic variables. The data for this study came from ground-level hyperspectral reflectance measurements of rice at different stage. Reflectance was measured in discrete narrow bands between 350 and 2500 nm. Observed rice agronomic variables included leaf area index (LAI), wet biomass (WBM including aboveground wet biomass-AGWBM, leaf wet biomass-LWBM, stem wet biomass-SWBM), and dry biomass(DBM: including aboveground dry biomass-AGDBM, leaf dry biomass-LDBM, stem dry biomass.) Firstly, narrow band ratio vegetation index (NBRVI) involving all possible two bands combinations of discrete channels were tested. The second part of the paper describes a rigorous search procedure to identify the best NBRVI predictors of rice agronomic variables. Special narrow band lambda (λ1) versus lambda (λ2) plots of R2 values illustrates the most effective wavelength combinations (λ1 and λ2) and band-widths (∆λ1 and ∆λ2) for predicting rice agronomic variables at different development stages. The best of the NBRVI models explained 58% to 83% variability rice agronomic variables at different development stage. A strong relationship with rice agronomic variables is located in red-edge, 700 nm to 750 nm, the longer portion of red (650nm to 700nm), the shorter portion of green (500nm to 550nm), a particular portion of NIR (800nm to 850nm). They are followed by moisture-sensitive NIR(1150nm to 1200nm), and two portions of SWIR (1600nm to 1650nm).

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Spectral response of rice crop and its relation to yield and yield attributes

Cited by 47 publications

References 4 publications

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Continuous Monitoring of Visible and Near-Infrared Band Reflectance from a Rice Paddy for Determining Nitrogen Uptake Using Digital Cameras

Caracterização espectral de Paspalum notatum em diferentes níveis de adubação nitrogenada

Narrow Band Ratio Vegetation Indices and Itsrelationships With Rice Agronomic Variables

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