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- W2080612963 abstract "<abstract> <bold>Abstract.</bold> The knowledge of phenological events of grapevines is essential for successful vineyard management. The conventional ground-observed phenology measurements are limited mainly due to their confined spatial coverage. Satellite data, however, provides access to a global spatial coverage of the earth with the potential for a high temporal resolution. The purpose of this study was to evaluate the capability of the remotely sensed based vegetation indices to identify the key phenological stages of the grapevine. Several phenological metrics for vineyards located in Columbia valley region, Washington were derived from satellite time series of the Moderate Resolution Imaging Spectroradiometer (MODIS) using Normalized Difference Vegetation Index (NDVI) for the vineyards located in Columbia valley region, Washington. The methodology that was used included an exponential smoothing and moving average to compute both the onset of greenness and the end of greenness. The MODIS NDVI values were evaluated against aerial NDVI imageries of the same vineyard for August 2011. The average bias was -0.08 (over prediction) and the RMSE was 0.16. The correlation of determination (<inline-graphic id=ID0EMPAC xlink:href=131616169_files/131616169-01.jpg/>) was 0.5. The results revealed a growing season with an average of 197.5 days for grapevines grown in this region for a period of four years. The start date of the growing season coincided with 14th of April and the computed end of growing season was 12th of October. The highest NDVI value was 0.55 and it coincided with 16th of July. The lowest NDVI value was 0.32 and the average range of NDVI was 0.23. The preliminary results of this study depicted that this method is capable of monitoring vineyard vegetation dynamics in the study area." @default.
- W2080612963 created "2016-06-24" @default.
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- W2080612963 date "2013-01-01" @default.
- W2080612963 modified "2023-09-26" @default.
- W2080612963 title "Estimating the growing season length using remotely sensed based vegetation indices: a case study for Washington State vineyards." @default.
- W2080612963 doi "https://doi.org/10.13031/aim.20131616169" @default.
- W2080612963 hasPublicationYear "2013" @default.
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