Rice heading date retrieval based on multi-temporal MODIS data and polynomial fitting

Wang, Hongshuo; Chen, Jinsong; Wu, Zhifeng; Lin, Hui

doi:10.1080/01431161.2011.603378

Cited by 17 publications

(17 citation statements)

References 19 publications

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“…10a) and coincident with the maximum LAI (Boschetti et al, 2009;Wang et al, 2012). The lack of noise in this index and the consistency of the maximum resulted in high levels of agreement with field data (Table 4).…”

Section: Discussionsupporting

confidence: 56%

“…NDVI was selected for its performance in detecting the heading date (Wang et al, 2012) and as a reference for the rest of the indices. We also applied NDWI(1) and NDWI(2), which are sensitive to leaf water and soil moisture (Xiao et al, 2005), as well as SASI, which is a shape index developed to distinguish among dry soil, wet soil, dry vegetation and green vegetation (Khanna et al, 2007).…”

Section: Calculation Of Spectral Indicesmentioning

confidence: 99%

“…The NDVI has been widely used in rice monitoring studies (Gumma et al, 2014). This index effectively detects heading dates (Boschetti et al, 2009;Wang et al, 2012) and shows sensitivity to soil wetness, making the tool suitable for monitoring irrigation start and padding (Motohka et al, 2009). EVI has also been used for rice crop monitoring and mapping (Xiao et al, 2005;Peng et al, 2011;Son et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…These phenological metrics typically include transition dates such as the heading date (Boschetti et al, 2009;Wang et al, 2012), plant emergence and harvesting (Boschetti et al, 2009;Wu et al, 2010) and have been used with varying degrees of success. Methodologies applied for phenological metrics determination vary from the use of threshold values to the identification of maximum and minimum values.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod

Tornos

Huesca

Domínguez

et al. 2015

ISPRS Journal of Photogrammetry and Remote Sensing

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a b s t r a c tRice agricultural practices and hydroperiod dates must be determined to obtain information on water management practices and their environmental effects. Spectral indices derived from an 8-day MODIS composite allows to identify rice phenometrics at varying degrees of success. The aims of this study were (1) to assess the dynamics of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI(1) and NDWI(2)) and Shortwave Angle Slope Index (SASI) in relation to rice agricultural practices and hydroperiod, and (2) to assess the capability for these indices to detect phenometrics in rice under different flooding regimes. Two rice farming areas in Spain that are governed under different water management practices, the Ebro Delta and Orellana, were studied over a 12-year period (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012). The index time series autocorrelation function was calculated to determine index dynamics in both areas. Secondly, average indices were calculated to identify significant points close to key agricultural and flooding dates, and index behaviors and capacities to identify phenometrics were assessed on a pixel level. The index autocorrelation function produced a regular pattern in both zones, being remarkably homogeneous in the Ebro Delta. It was concluded that a combination of NDVI, NDWI(1), NDWI (2) and SASI may improve the results obtained through each index. NDVI was more effective at detecting the heading date and flooding trends in the Ebro Delta. NDWI(1), NDWI(2) and SASI identified the harvest and the end of environmental flooding in the Delta, and the flooding in Orellana, more effectively. These results may set strong foundations for the development of new strategies in rice monitoring systems, providing useful information to policy makers and environmental studies.

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Section: Discussionsupporting

confidence: 56%

Section: Calculation Of Spectral Indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod

Tornos

Huesca

Domínguez

et al. 2015

ISPRS Journal of Photogrammetry and Remote Sensing

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“…Cloudy pixels are removed by using the cloud quality pixel from MOD09A1, where pixels affected by clouds were replaced with a temporary fill interpolated from previous and next composites to obtain a complete time series. Finally, to detect the heading date of each field, we used the day of the maximum NDVI, following Wang et al (2012).…”

Section: B Rice Field Detectionmentioning

confidence: 99%

Assessing the Impact of Typhoons on Rice Production in the Philippines

Blanc

Strobl

2016

Journal of Applied Meteorology and Climatology

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This study quantifies the impact of typhoons on rice production in the Philippines. To this end, satellitederived reflectance data are used to detect the location of rice fields at 500-m resolution. Utilizing typhoon-track data within a wind field model and satellite-derived precipitation measures, fragility curves are then employed to proxy the damage of storms on rice production within each rice field. The results from a panel spatial regression model show that typhoons substantially reduced local provincial production in the quarter of the strike, having caused losses of up to 12.5 million tons since 2001. Using extreme value theory to predict future losses, the results suggest that a typhoon like the recent Haiyan, which is estimated to have caused losses of around 260 000 tons, has a return period of 13 years. This methodology can provide a relatively timely tool for rice damage assessments after tropical cyclones in the region.

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Assessment of Vegetation Dynamics of Paddy Crop Using “TIMESAT” and Remote Sensing and GIS Techniques in Command Areas

Tiwari¹,

Rao²,

Sundar³

2023

Advances in Water Resource Planning and Sustainability

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Rice heading date retrieval based on multi-temporal MODIS data and polynomial fitting

Cited by 17 publications

References 19 publications

Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod

Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod

Assessing the Impact of Typhoons on Rice Production in the Philippines

Assessment of Vegetation Dynamics of Paddy Crop Using “TIMESAT” and Remote Sensing and GIS Techniques in Command Areas

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