Study on the interaction between NDVI profile and the growing status of crops

Jiang, Dong; Wang, Naibin; Yang, Xiaohuan; Wang, Jihua

doi:10.1007/s11769-003-0086-4

Cited by 32 publications

(18 citation statements)

References 7 publications

(5 reference statements)

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“…The coefficients of determination between mass at untying and NDVI for the September-October (0.741) and the November (0.704) planted crops were higher than the 0.65 reported by Povkh et al [34] but lower than the 2 = 0.90-0.98 that Jiang et al [35] found between wheat grain yield and NDVI. The established coefficients in this experiment were, however, high enough for tobacco yield to be estimated using Cropscan calculated NDVI.…”

Section: Discussioncontrasting

confidence: 59%

Spectral Indices: In-Season Dry Mass and Yield Relationship of Flue-Cured Tobacco under Different Planting Dates and Fertiliser Levels

Svotwa

Masuka

Maasdorp³

et al. 2013

ISRN Agronomy

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This experiment investigated the relationship between tobacco canopy spectral characteristics and tobacco biomass. A completely randomized design, with plantings on the 15th of September, October, November, and December, each with 9 variety × fertiliser management treatments, was used. Starting from 6 weeks after planting, reflectance measurements were taken from one row, using a multispectral radiometer. Individual plants from the other 3 rows were also measured, and the above ground whole plants were harvested and dried for reflectance/dry mass regression analysis. The central row was harvested, cured, and weighed. Both the maximum NDVI and mass at untying declined with later planting and so was the mass-NDVI coefficient of determination. The best fitting curves for the yield-NDVI correlations were quadratic. September reflectance values from the October crop reflectance were statistically similar (P>0.05), while those for the November and the December crops were significantly different (P<0.05) from the former two. Mass at untying and NDVI showed a quadratic relationship in all the three tested varieties. The optimum stage for collecting spectral data for tobacco yield estimation was the 8–12 weeks after planting. The results could be useful in accurate monitoring of crop development patterns for yield forecasting purposes.

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Section: Discussioncontrasting

confidence: 59%

Spectral Indices: In-Season Dry Mass and Yield Relationship of Flue-Cured Tobacco under Different Planting Dates and Fertiliser Levels

Svotwa

Masuka

Maasdorp³

et al. 2013

ISRN Agronomy

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show abstract

“…vegetation indices). These relationships could be described with linear, cubic polynomial, or exponential regression (Jiang et al 2003). For example, the Normalized Difference Vegetation Index (NDVI) is strongly linked to vegetation condition and plant biomass, and thus has been used to estimate wheat yield during the growing season (Tucker et al 1980).…”

Section: Introductionmentioning

confidence: 99%

Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model

Fang

Liang

Hoogenboom

et al. 2008

International Journal of Remote Sensing

156

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One of the applications of crop simulation models is to estimate crop yield during the current growing season. Several studies have tried to integrate crop simulation models with remotely sensed data through data-assimilation methods. This approach has the advantage of allowing reinitialization of model parameters with remotely sensed observations to improve model performance. In this study, the Cropping System Model-CERES-Maize was integrated with the Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index (LAI) products for estimating corn yield in the state of Indiana, USA. This procedure, inversion of crop simulation model, facilitates several different user input modes and outputs a series of agronomic and biophysical parameters, including crop yield. The estimated corn yield in 2000 compared reasonably well with the US Department of Agriculture National Agricultural Statistics Service statistics for most counties. Using the seasonal LAI in the optimization procedure produced the best results compared with only the green-up LAIs or the highest LAI values. Planting, emergence and maturation dates, and N fertilizer application rates were also estimated at a regional level. Further studies will include investigating model uncertainties and using other MODIS products, such as the enhanced vegetation index.

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“…As Jiang et al [35] pointed out, crop area estimation for the different planting dates could be realised using remote sensing techniques on the basis of time serial NDVI data together with agriculture calendars.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Spectral Separability of Flue Cured Tobacco Varieties Established on Different Planting Dates and under Varying Fertilizer Management Levels

Svotwa¹,

Masuka²,

Maasdorp

et al. 2014

International Journal of Agronomy

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The NDVI was used to discriminate tobacco variety, assess fertilizer levels, and determine the impact of planting date on separating crops. A split plot design with four planting dates, September, October, November, and December, as main plots, variety as subplot, and fertilizer treatments as sub-subplots was used. Radiometric measurements were taken from 5 m × 5 m sampling plots, using a multispectral radiometer. The September, October, and November crops had significant variety x fertilizer treatment differences ( < 0.05) from the age of 10 weeks. T 66 and KRK26 varieties had similar ( > 0.05) NDVI values and these were greater ( < 0.5) than those for K E1. The 100% and the 150% fertilizer treatments were similar ( > 0.05) and both were greater ( < 0.05) than the 50% fertilizer treatments. All of the fertilizer and variety treatments at the December planting dates had similar reflectance characteristics ( > 0.05), which were lower ( < 0.05) than the September and October planting dates. The results showed that planting dates, varieties, and fertilizer levels could be distinguished using spectral data. Weeks 10-11 and 15 after the start of the experiment were optimal for separating the planting date effect.

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Study on the interaction between NDVI profile and the growing status of crops

Cited by 32 publications

References 7 publications

Spectral Indices: In-Season Dry Mass and Yield Relationship of Flue-Cured Tobacco under Different Planting Dates and Fertiliser Levels

Spectral Indices: In-Season Dry Mass and Yield Relationship of Flue-Cured Tobacco under Different Planting Dates and Fertiliser Levels

Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model

Assessing the Spectral Separability of Flue Cured Tobacco Varieties Established on Different Planting Dates and under Varying Fertilizer Management Levels

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