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Sensors 2009, 9(4), 2968-2975; doi:10.3390/s90402968

Use of Vegetation Health Data for Estimation of Aus Rice Yield in Bangladesh

NOAA-CREST, CCNY,138th Street and Convent Ave, New York, NY 10031,USA
NESDIS/NOAA, 5200 Auth Rd. Camp Spring, MD 20746, USA
Author to whom correspondence should be addressed.
Received: 18 March 2009 / Revised: 19 April 2009 / Accepted: 22 April 2009 / Published: 23 April 2009
(This article belongs to the Section Remote Sensors)
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Rice is a vital staple crop for Bangladesh and surrounding countries, with interannual variation in yields depending on climatic conditions. We compared Bangladesh yield of aus rice, one of the main varieties grown, from official agricultural statistics with Vegetation Health (VH) Indices [Vegetation Condition Index (VCI), Temperature Condition Index (TCI) and Vegetation Health Index (VHI)] computed from Advanced Very High Resolution Radiometer (AVHRR) data covering a period of 15 years (1991–2005). A strong correlation was found between aus rice yield and VCI and VHI during the critical period of aus rice development that occurs during March-April (weeks 8–13 of the year), several months in advance of the rice harvest. Stepwise principal component regression (PCR) was used to construct a model to predict yield as a function of critical-period VHI. The model reduced the yield prediction error variance by 62% compared with a prediction of average yield for each year. Remote sensing is a valuable tool for estimating rice yields well in advance of harvest and at a low cost. View Full-Text
Keywords: Remote sensing; Vegetation health indices; Correlation; Principal Component Regression Remote sensing; Vegetation health indices; Correlation; Principal Component Regression

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Rahman, A.; Roytman, L.; Krakauer, N.Y.; Nizamuddin, M.; Goldberg, M. Use of Vegetation Health Data for Estimation of Aus Rice Yield in Bangladesh. Sensors 2009, 9, 2968-2975.

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