Research internship on vegetation monitoring using satellite data

Date

7-2015

Degree

Bachelor of Science in Agriculture

Major Course

Major in Soil Science

College

College of Agriculture and Food Science (CAFS)

Adviser/Committee Chair

Victorino A. Bato

Abstract

Remote sensing enables monitoring of the health of the crops by looking beyond the visible wavelengths into the infrared. These wavelengths are highly sensitive to crop stress and crop damage, which enable the early detection of problem in crops. MODIS consists of indices which enables vegetation monitoring. One of these indices is NDVI, which is a good indicator of leaf biomass, leaf area index and patterns of production. NDVI values less than 0.5 indicate moderate vegetation (reflectance of mostly shrubs and grass), values between 0.5 ? 0.7 depict dense vegetation, while values of 0.8 indicates very dense vegetation. The planting pattern for rice and corn was observed through the use of NDVI. Selected provinces of the Philippines were chosen for the study then the trend of NDVI based on region and type of climate was observed. Bulacan and Nueva Ecija showed almost the same NDVI trend for 2014. Also, Region I provinces which include Pangasinan, La Union, Ilocos Norte and Ilocos showed almost the same trend of NDVI. The planting and harvesting pattern for each of the provinces was identified based on their NDVI values. A low NDVI value was assumed to be the land preparation/ start of planting/ harvesting period while a high NDVI was assumed to be the growth of rice and corn plants.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

LG 993 2015 A3 /C33

Document Type

Thesis

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