Estimation of rice area and grain yield using remotely sensed data in Laguna

Date

4-2011

Degree

Bachelor of Science in Agricultural Engineering

Major Course

Major in Agrometeorology & Farm Structures Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Marion Lux Y. Castro

Committee Member

Vicente G. Ballaran, Jr., Moises A. Dorado

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Abstract

Remotely sensed data such as MODIS NDVI can indicate the greenness or degree of vegetation in a given area. Its application in agriculture, specifically in yield and area estimation, can be explored and therefore be advantageous for farmers and government agencies. In this study, MODIS NDVI images were used in the estimation of rice area and grain yield in Laguna for the 2nd quarter of 2001-2010. NDVI values for rice areas in Laguna for 16-day period were extracted and mapped, and daily NDVI values were interpolated from the obtained data. The estimated rice area and grain yield had an average percent difference of 48% and 6% as compared to the existing record of rice production and area harvested from the Bureau of Agricultural Statistics, respectively.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Document Type

Thesis

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