NDVI Vegetation Analysis using UAV Imagery

Kasvillisuusindeksejä käytetään kasvillisuuden tavoiteltujen ominaisuuksien parantamiseksi. Käyttämällä algoritmejä, kuten normalisoitua kasvillisuusindeksiä (NDVI), vihreän kasvillisuuden terveys tai stressi voidaan mitata täsmällisesti ja yhdenmukaisesti. Tämä kirjallisuuskatsaus tutkii NDVI:n läh...

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Main Author: Morrison, Ross
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:eng
Published: 2020
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/67179
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author Morrison, Ross
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Morrison, Ross Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Morrison, Ross Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Morrison, Ross
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description Kasvillisuusindeksejä käytetään kasvillisuuden tavoiteltujen ominaisuuksien parantamiseksi. Käyttämällä algoritmejä, kuten normalisoitua kasvillisuusindeksiä (NDVI), vihreän kasvillisuuden terveys tai stressi voidaan mitata täsmällisesti ja yhdenmukaisesti. Tämä kirjallisuuskatsaus tutkii NDVI:n lähtökohtia ja multispektrisensorilla varustettujen miehittämättömien ilma-alusten (UAV) käyttöä mittauksiin NDVI-analyysejä varten. NDVI-analyysiprosessi lentosuunnittelusta tuloksiin tarkastellaan käyttäen täsmäviljelyä esimerkkinä. Vegetation Indices are used to enhance targeted properties of vegetation. Using algorithms such as the Normalized Difference Vegetation Index (NDVI), the health or stress of green vegetation can be accurately and consistently measured. This literature review looks into the origins of NDVI and the use of UAV’s equipped with multispectral sensors to perform measurements for NDVI analysis. Using precision agriculture as an example, the process of NDVI analysis from flight planning to results is observed.
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spellingShingle Morrison, Ross NDVI Vegetation Analysis using UAV Imagery Agriculture Multispectral Sensor NDVI UAV Vegetation Indices Tietotekniikka Mathematical Information Technology 602 kasvillisuus kaukokartoitus maatalous vegetation remote sensing agriculture
title NDVI Vegetation Analysis using UAV Imagery
title_full NDVI Vegetation Analysis using UAV Imagery
title_fullStr NDVI Vegetation Analysis using UAV Imagery NDVI Vegetation Analysis using UAV Imagery
title_full_unstemmed NDVI Vegetation Analysis using UAV Imagery NDVI Vegetation Analysis using UAV Imagery
title_short NDVI Vegetation Analysis using UAV Imagery
title_sort ndvi vegetation analysis using uav imagery
title_txtP NDVI Vegetation Analysis using UAV Imagery
topic Agriculture Multispectral Sensor NDVI UAV Vegetation Indices Tietotekniikka Mathematical Information Technology 602 kasvillisuus kaukokartoitus maatalous vegetation remote sensing agriculture
topic_facet 602 Agriculture Mathematical Information Technology Multispectral Sensor NDVI Tietotekniikka UAV Vegetation Indices agriculture kasvillisuus kaukokartoitus maatalous remote sensing vegetation
url https://jyx.jyu.fi/handle/123456789/67179 http://www.urn.fi/URN:NBN:fi:jyu-202001101111
work_keys_str_mv AT morrisonross ndvivegetationanalysisusinguavimagery