Drought vulnerability of corn (Zea mays L.) production areas in Isabela, Philippines using GIS and remote sensing

Date

6-2016

Degree

Bachelor of Science in Agricultural and Biosystems Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Vicente G. Ballaran, Jr.

Restrictions

Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.

Abstract

Crop drought vulnerability maps for Isabela, Philippines were established for both dry and wet seasons by determining the exposure index and crop yield sensitivity index of each municipality. The remotely-sensed data was correlated with the data from the PAGASA stations in Region II to determine its reliability. It was found out that majority of the stations had strong positive linear relationship. The exposure index was calculated by getting the ratio between the mean long term season rainfall and mean growing season rainfall per year. The crop yield sensitivity index was determined by dividing the actual yield from the estimated yield. Estimated yield was obtained using multiple regression with the actual yield as the dependent variable and the remotely-sensed rainfall, temperature, and solar radiation as independent variables. A correction factor was used to prevent overestimation for municipalities with low harvest area. Based on the result, the very highly vulnerable areas were Cabatuan, Cauayan City, San Mariano, and Ilagan for dry season. During the wet season, these municipalities were also determined as very highly vulnerable except Cabatuan. Delfin Albano and Burgos were found out to be least vulnerable. Municipalities located in rolling to hilly areas were more vulnerable to drought than those in plain areas. As a conclusion, climate variability and location greatly affects corn production.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2016 A2 B78

Document Type

Thesis

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