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)
Recommended Citation
Montecillo, Donna Amor C., "Estimation of rice area and grain yield using remotely sensed data in Laguna" (2011). Undergraduate Theses. 1208.
https://www.ukdr.uplb.edu.ph/etd-undergrad/1208
Document Type
Thesis