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
Recommended Citation
Cabañas, Michelle Cruz, "Research internship on vegetation monitoring using satellite data" (2015). Undergraduate Theses. 1601.
https://www.ukdr.uplb.edu.ph/etd-undergrad/1601
Document Type
Thesis